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Soft copies (PDF or zipped PDF) of most of these publications are included at the end of this page. Many of these papers are also available on ResearchGate and on my home-page on Google Scholar. If all else fails, and for some inexplicable reason you still want to read the paper, please contact me on girishpalshikar AT gmail DOT com
Books: 1 Book Chapters: 8 Journal Papers: 29 Conference Papers: 138 Technical Articles: 13 White Papers on www.tcs.com: 5 Papers in TACTiCS (TCS internal): 11 Unpublished Technical Reports: 37
TOTAL: 205 (not counting unpublished technical reports)
Granted Patents: 36
Books
1. Sachin Sharad Pawar, Pushpak Bhattacharyya, Girish Keshav Palshikar, Investigations in Entity Relationship Extraction, Book Series Studies in Computational Intelligence (SCI), volume 1058, Springer, 2022. URL: https://link.springer.com/book/10.1007/978-981-19-5391-0
Book Chapters
G.K. Palshikar, Fake News and Social Processes: A Short Review, in D. Padmanabhan, T. Chakraborty, C. Long, Santhosh Kumar G. (eds.), Data Science for Fake News: Surveys and Perspectives, Springer, 2021. ISBN 978-981-19-5390-3 https://www.springer.com/gp/book/9783030626952
G.K. Palshikar, R. Srivastava, S. Pawar, S. Hingmire, A. Jain, S. Chourasia, M. Shah, Analytics-Led Talent Acquisition for Improving Efficiency and Effectiveness, in A.K. Laha (ed.), Advances in Analytics and Applications, Springer Proceedings in Business and Economics, Springer Nature Singapore Pte. Ltd. 2019.
DOI: https://doi.org/10.1007/978-981-13-1208-3_13
G.K. Palshikar, A. Khanapurkar, Artificial Intelligence for Human Resources – Creating and Coping with Disruption in HR Functions at TCS, in Reimagining Research, pp. 132--142, 2018. Available at: https://www.tcs.com/content/dam/tcs/pdf/discover-tcs/research-book/Artificial-Intelligence-for-Human-Resources.pdf
M. Apte, G.K. Palshikar, S. Baskaran, Frauds in Online Social Networks: A Review, in Tansel Ozyer, Sambit Bakshi and Reda Alhajj (ed.s), Social Network and Surveillance for Society, Lecture Notes in Social Networks, pp. 1—18, Springer, 2019.
M. Natu, G.K. Palshikar, Interesting Subset Discovery and its Application on Service Processes, in K. Yada (ed.), Data Mining for Service: Studies in Big Data Volume 3, pp. 245 – 269, Springer-Verlag, 2014.
G.K. Palshikar, M. Apte, Financial Security against Money Laundering: A Survey, Chapter 36 in B. Akhgar, H.R. Arabnia (Ed.s), Emerging Trends in Information and Communication Technologies Security, pp. 577 – 590, Elsevier (Morgan Kaufman), 2013.
G. K. Palshikar, Techniques for Named Entity Recognition: A Survey in S. Bruggemann, C. D'Amato (Ed.s), Collaboration and the Semantic Web: Social Networks, Knowledge Networks and Knowledge Resources, IGI Global, 2012, pp. 191--217. Book URL: http://www.igi-global.com/book/collaboration-semantic-web/60778. Republished as a book chapter in Bioinformatics: Concepts, Methodologies, Tools, and Applications, IGI Global, 2013, pp. 400–426.
G. K. Palshikar, Natural Uses of Artificial Intelligence, in Shivanand Kanavi (ed.), Research by Design: Innovation and TCS, Rupa & Co., 2007, pp. 100 –106.
Journal Papers
S. M. Jadhav, S. Vaishampayan, M. Apte, S. Pawar, N. Ramrakhiyani, G. K. Palshikar, Is Something Wrong? Where? Financial Audit Assistance using Misinformation Detection and Explanation, submitted.
N. Ramrakhiyani, S. Pawar, G. K. Palshikar, V. Varma, LLM Powered Spatial Enrichment of Message Sequence Charts and its Applications, Expert Systems With Applications (Elsevier), 296, 129103, 2016. https://www.sciencedirect.com/science/article/abs/pii/S0957417425027204
S. Pawar, N. Ramrakhiyani, B. Ali, A. Sinha, G. K. Palshikar, Explainable Statute Prediction via Attention-based Model and LLM Prompting, accepted in AI & Law (journal).
N. Ramrakhiyani, V. Varma, G. K. Palshikar, S. Pawar, Gauging, enriching and applying geography knowledge in Pre-trained Language Models, Information Processing & Management, Vol. 62, Issue 1, 2025, 103892. ISSN 0306-4573, https://doi.org/10.1016/j.ipm.2024.103892
https://www.sciencedirect.com/science/article/pii/S0306457324002516
G.K. Palshikar, S. Pawar, A. Sinha-Banerjee, R. Srivastava, N. Ramrakhiyani, S. Patil, D. Thosar, J. Bhat, A. Jain, S. Hingmire, S. Chaurasia, P. Mandloi, D. Chalawadi, RINX: A System for Information and Knowledge Extraction from Resumes, Data & Knowledge Engineering, volume 147, Sep. 2023, 102202. https://doi.org/10.1016/j.datak.2023.102202. https://www.sciencedirect.com/science/article/pii/S0169023X23000629
A. Pawde, S. Apte, K. Ingale, M. Apte, G.K. Palshikar, Identifying Emerging Information Needs of Library Users using Data Mining, Journal of Indian Library Association, Volume 57, no. 4, Oct. – Dec. 2021, pp. 155–164. https://ilaindia.net/jila/index.php/jila/article/download/833/302
A. Pawde, S. Vaishampayan, A. Shinde, M. Apte, G.K. Palshikar, A. Jamkar, Needle in a Haystack: Generating Audit Hypotheses for Clinical Audits of Hospitals, Springer Nature Computer Science, Volume 3, 407, July 2022. https://link.springer.com/article/10.1007/s42979-022-01318-3
G.K. Palshikar, S. Pawar, R. More, B. Ali, Information and Knowledge Extraction from Court Judgements and Related Documents, IN Law Magazine NLSIU, Volume 7, pp. 8–14, Sep. 2021. https://nlspub.ac.in/in-law-magazine-nlsiu-vol-7-september-2021/
M. Apte, S. Vaishampayan, G.K. Palshikar, Detection of Causally Anomalous Time-series, International Journal of Data Science and Analytics (Springer), vol. 11, pp. 141 – 153, 2021. https://rdcu.be/ceReN
N. Pattisapu, V. Anand, S. Patil, G.K. Palshikar, V. Varma, Distant Supervision for Medical Concept Normalization, Journal of Biomedical Informatics (Elsevier), 109 (2020) 103522. https://doi.org/10.1016/j.jbi.2020.103522
G.K. Palshikar, S. Pawar, R. Srivastava, M. Shah, Identification of Repeated Sections within Documents, Computación y Sistemas (CyS) Journal, Vol. 23, No. 3, 2019. (http://www.cys.cic.ipn.mx/ojs/index.php/CyS).
S. Pawar, R. Sharma, G.K. Palshikar, P. Bhattacharyya, V. Varma, Cause-Effect Relation Extraction from Documents in Metallurgy and Materials Science, Transactions of the Indian Institute of Metals (Springer), vol. 72, pp. 2209--2217, April 2019. DOI: https://doi.org/10.1007/s12666-019-01679-z
S. Pawar, G.K. Palshikar, P. Bhattacharyya, Relation Extraction: A Survey, 2017, arXiv:1712.05191.
G.K. Palshikar, M. Apte, D. Pandita, Weakly Supervised and Online Learning of Word Models for Classification to Detect Disaster Reporting Tweets, Information Systems Frontiers (Springer), Vol. 20, No. 5, Oct. 2018, pp. 949–959. DOI 10.1007/s10796-018-9830-2. http://link.springer.com/article/10.1007/s10796-018-9830-2
R. Srivastava, G.K. Palshikar, S. Chaurasia, A. Dixit, What’s Next? A Recommendation System for Industrial Training, Data Science and Engineering (Springer), Vol. 3, No. 3, Sep. 2018, pp. 232–247. Open access: https://link.springer.com/article/10.1007/s41019-018-0076-2
S. Gupta, S. Pawar, N. Ramrakhiyani, G.K. Palshikar, V. Varma, Semi-Supervised Recurrent Neural Network for Adverse Drug Reaction Mention Extraction, BMC Bioinformatics, 2018, 19 (Suppl. 8) :212. DOI: https://doi.org/10.1186/s12859-018-2192-4
G.K. Palshikar, M. Apte, S. Pawar, N. Ramrakhiyani, HiSPEED: A System for Mining Performance Appraisal Data and Text, in International Journal of Data Science and Analytics (Springer), Vol. 8, No. 1, July 2019, pp. 95–111.
https://link.springer.com/article/10.1007/s41060-018-0142-x
DOI: https://doi.org/10.1007/s41060-018-0142-x.
G.K. Palshikar, H.M. Vin, V. Vijaya Saradhi, M. Mudassar, Discovering Experts, Experienced Persons and Specialists for IT Infrastructure Support, Service Science, Vol. 3, No. 1, pp. 1–21, Spring 2011.
V. Vijaya Saradhi, G.K. Palshikar, Employee Churn Prediction, Expert Systems with Applications, Volume 38, Number 3, March 2011, pp. 1999-2006.
G. K. Palshikar, M. Apte, Collusion Set Detection Using Graph Clustering, vol. 16, no. 2, April 2008, Data Mining and Knowledge Discovery journal (Springer-Verlag), pp. 135 – 164.
G.K. Palshikar, M. Kale, M. Apte, Association Rules Mining using Heavy Itemsets, vol. 61, no. 1, April 2007, Data and Knowledge Engineering journal (Elsevier), pp. 93 – 113.
G. K. Palshikar, P. Bhaduri, Verification of Scenario-based Specifications using Property Templates, Electronic Notes in Theoretical Computer Science (ENTCS), vol. 118, issue C, Feb. 2005, pp. 37-55.
G. K. Palshikar, Fuzzy Region Connection Calculus in Finite Discrete Space Domains, Applied Soft Computing journal (Elsevier-Science), vol. 4, no. 1, Feb. 2004, pp. 13-23.
P. Bhaduri, R. Venkatesh, G. K. Palshikar, Formal Techniques for Analysing Scenarios using Message Sequence Charts, Electronic Notes in Theoretical Computer Science (ENTCS), vol. 65, no. 7, May 2002, pp. 1--17.
G. K. Palshikar, Temporal Fault Trees, Information and Software Technology (Elsevier-Science), vol. 44, no. 3, 1-March-2002, pp. 137-150.
G. K. Palshikar, Applying Formal Specifications to Real-World Software Development, IEEE Software, vol. 18, no. 6, Nov.-Dec. 2001, pp. 89-97.
G. K. Palshikar, Safety Checking in an Automatic Train Operation System, Information and Software Technology (Elsevier-Science), vol. 43, no. 5, 1-April-2001, pp. 325-338.
G. K. Palshikar, A Fuzzy Temporal Notation and Its Applications to Specify Fault Patterns for Diagnosis, Pattern Recognition Letters (Elsevier-Science), vol. 22, no. 3-4, March 2001, pp. 381-394.
G. K. Palshikar, D. Khemani, Diagnosing Dynamic Systems using Trace Patterns, Pattern Recognition Letters (Elsevier-Science), volume 20, no. 7, July 1999, pp. 741-753.
Papers in International Conferences
B. Ali, A. Sinha, N. Ramrakhiyani, S. Pawar, G. K. Palshikar, M. Apte, Legal Argumentation and Judgement Factors: Discovery and Application, submitted.
S. Pawar, M. Apte, K. Jadhav, G. K. Palshikar, N. Ramrakhiyani, Broken Words, Broken Performance: Effect of Tokenization on Performance of LLMs, submitted.
R. Mahamuni, S. Pawar, M. Apte, G. K. Palshikar, Dispute Resolution as a Service: Leveraging Service Design and AI Assistance, Service Design and Innovation conference (ServDes25), 06-08 Oct. 2025, Hyderabad, India.
S. S. Pawar, M. Apte, G. K. Palshikar, B. Ali, N. Ramrakhiyani, DRAssist: Dispute Resolution Assistance using Large Language Models, 20th Int. Conf. Artificial Intelligence and Law (ICAIL 2025), 16-20 June 2025, Chicago, USA.
N. Ramrakhiyani, S. Pawar, G.K. Palshikar, V. V. Varma, Enhancing Message Sequence Charts with Spatial Knowledge, 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2025), 10-13 June 2025, Sydney, Australia.
Sachin Pawar, Nitin Ramrakhiyani, Anubhav Sinha, Manoj Apte, Girish K. Palshikar, Why Generate When You Can Discriminate? A Novel Technique for Text Classification using Language Models, Findings of the Association for Computational Linguistics (EACL 2024), Malta, March 17-22, 2024, pp. 1099--1114. https://aclanthology.org/2024.findings-eacl.74
Basit Ali, Sachin Pawar, Girish K. Palshikar, Anindita Sinha Banerjee, Dhirendra Singh, Legal Argument Extraction from Court Judgements using Integer Linear Programming, 10th Workshop on Argument Mining (ArgMining), co-located with Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), December 6-10, 2023, Singapore, pp. 52--63. https://aclanthology.org/2023.argmining-1.6.pdf
S. Vaishampayan, N. Ramrakhiyani, S. Pawar, A. Pawde, M. Apte, G.K. Palshikar, Audit Report Coverage Assessment using Sentence Classification, Proc. Sixth Workshop on Financial Technology and Natural Language Processing (FinNLP 2023), Nov. 2023, Bali, Indonesia, pp. 31--41. https://aclanthology.org/2023.finnlp-2.4.pdf
Nitin Ramrakhiyani, Vasudeva Varma, Girish K. Palshikar, Sachin Pawar, Zero-shot Probing of Pretrained Language Models for Geography Knowledge, 4th Workshop on Evaluation & Comparison of NLP Systems (Eval4NLP 2023), pp. 49-61, co-located with 13th International Joint Conference on Natural Language Processing (IJCNLP 2023) and 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL 2023), November 1-4, 2023, Bali, Indonesia. https://eval4nlp.github.io/2023/img/proceedings.pdf
G.K. Palshikar, M. Apte, S. Vaishampayan, A. Shinde, Causality in Time-Series: A Short Review, 2nd International Conference on Advances in Data-driven Computing and Intelligent Systems (ADCIS 2023), September 21-23, 2023, Goa, India, in Satyasai Jagannath Nanda & Rajendra Prasad Yadav (eds.), Data Science and Intelligent Computing Techniques, pp. 723–748, Computing & Intelligent Systems, SCRS, India. https://doi.org/10.56155/978-81-955020-2-8-64
S. Pawar, G.K. Palshikar, A. Jain, M. Singh, M. Rangarajan, A. Agarwal, V. Kumar, K. Singh, Evaluation Metrics for Depth and Flow of Knowledge in Non-fiction Narrative Texts, Proc. 5th Workshop on Narrative Understanding (NUS 2023), Co-located with ACL 2023, Jul. 2023, Toronto, Canada, pp. 16--24. https://aclanthology.org/2023.wnu-1.4.pdf
N. Ramrakhiyani, S. Patil, A. Kumar, G. K. Palshikar, Neural Ensemble for Organizing Business News-Streams for Corporate Libraries, ACM/IEEE Joint Conference on Digital Libraries (JCDL), June 26 - 30, 2023, Santa Fe, New Mexico, USA, pp. 274—275, June 2023.
S. Pawar, B. Ali, Basit, G.K. Palshikar, Ramandeep Singh, Dhirendra Singh, Extraction and Classification of Statute Facets using Few-shots Learning, 19th International Conference on Artificial Intelligence and Law (ICAIL 2023), June 19 – 23, 2023, Braga, Portugal.
S. Pawar, M. Apte, A. Pawde, S. Vaishampayan, G.K. Palshikar, A. Shinde, Dig Here! Extracting and Using Knowledge from Financial Audit Reports, 36th International FLAIRS Conference (FLAIRS-36), May 14-17, 2023, Clearwater Beach, Florida, USA. https://journals.flvc.org/FLAIRS/article/view/133265
N. Ramrakhiyani, V. Varma, G.K. Palshikar, Extracting Orientation Relations between Geo-Political Entities from their Wikipedia Text, First International Workshop on Geographic Information Extraction from Texts (GeoExT 2023), co-located with 45th European Conference on Information Retrieval (ECIR), April 2–6, 2023, Dublin, Ireland. https://ceur-ws.org/Vol-3385/paper7.pdf
S. Patil, N. Ramrakhiyani, S. Hingmire, A. Kumar, G. K. Palshikar, H. Bedi, Timeline as a Knowledge Representation for Retrieving Similar Safety Incidents from Industrial Repositories, Workshop on Knowledge Augmented Methods for NLP, co-located with 37th AAAI Conference on Artificial Intelligence, Washington DC, 7–14 Feb. 2023. https://knowledge-nlp.github.io/aaai2023/papers/026-TLSim-poster.pdf
S. Pal, K. Khan, A.K. Singh, S. Ghosh, T. Nayak, G. Palshikar, I. Bhattacharya, Weakly Supervised Context-based Interview Question Generation, Generation, Evaluation and Metrics Workshop (GEM2022), co-located with Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), Abu Dhabi, 7 – 11 December 2022. https://aclanthology.org/2022.gem-1.4/
N. Ramrakhiyani, S. Patil, M. Jella, A. Kumar, G. K. Palshikar, Extracting Entities and Events from Cyber-Physical Security Incident Reports, Workshop on Machine Learning for CyberSecurity (MLC) co-located with 22nd IEEE International Conference on Data Mining (ICDM 2022), Nov. 28–Dec. 1, 2022, Orlando, Florida, USA. https://ieeexplore.ieee.org/document/10031197
S. Vaishampayan, A. Shinde, A. Pawde, S. Pawar, M. Apte, G.K. Palshikar, Explainability for Misinformation in Financial Statements, in Workshop on Advances in Interpretable Machine Learning and Artificial Intelligence (AIMLAI), co-located with 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), 17-21 October 2022, Atlanta, Georgia, USA. https://ceur-ws.org/Vol-3318/short24.pdf
S. Pawar, R. More, G.K. Palshikar, P. Bhattacharyya, V. Varma, Knowledge-based Extraction of Cause-Effect Relations from Biomedical Text, International Semantic Intelligence Conference (ISIC 2022), May 17 – 19, 2022, Georgia, USA. Won the Best Paper award.
B. Ali, S. Pawar, G.K. Palshikar, R. Singh, Constructing A Dataset of Support and Attack Relations in Legal Arguments in Court Judgements using Linguistic Rules, 13th International Conference on Language Resources and Evaluation (LREC 2022), June 20–25, 2022, Marseilles, France. https://aclanthology.org/2022.lrec-1.51/
A. Shinde, S. Vaishampayan, M. Apte, G.K. Palshikar, Unsupervised Detection of Misinformation in Financial Statements, in 35th International FLAIRS Conference (Florida AI Research Symposium), May 15 – 18, 2022, Florida, USA.
https://journals.flvc.org/FLAIRS/article/view/130644
A. Sinha-Banerjee, S. Pawar, G.K. Palshikar, D. Thosar, J. Bhat, P. Mandloi, Estimating Skill Proficiency from Resumes, 26th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2022), 16 – 19 May 2022, Chengdu, China, in Gama, J., Li, T., Yu, Y., Chen, E., Zheng, Y., Teng, F. (eds), Lecture Notes in Computer Science, volume 13282, Springer. https://doi.org/10.1007/978-3-031-05981-0_9
S. Pawar, G.K. Palshikar, A. Sinha-Banerjee, Weakly Supervised Extraction of Tasks from Text, 18th International Conference on Natural Language Processing (ICON 2021), 16–19 Dec., 2021, Silchar, India, pp. 583--592. https://aclanthology.org/2021.icon-main.71.pdf
H. Bedi, S. Patil, G.K. Palshikar, Temporal Question Generation from History Text, 18th International Conference on Natural Language Processing (ICON 2021), 16–19 Dec., 2021, Silchar, India. https://aclanthology.org/2021.icon-main.49.pdf
Swapnil Hingmire, Irene Li, Rena Kawamura, Benjamin Chen, Alexander R. Fabbri, Xiangru Tang, Yixin Liu, Thomas George, Tammy Liao, Wai Pan Wong, Vanessa Yan, Richard Zhou, Girish K. Palshikar, Dragomir R. Radev, CLICKER: A Computational LInguistics Classification Scheme for Educational Resources. CoRR abs/2112.08578 (2021) https://arxiv.org/abs/2112.08578
S. Vaishampayan, A. Pawde, A. Shinde, M. Apte, G.K. Palshikar, Data Envelopment Analysis for Energy Audits of Housing Properties, Workshop on Machine Learning for Buildings Energy Management (MLBEM 2021) held as part of European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2021), 13-17 Sep. 2021.
S. Pawar, D. Thosar, N. Ramrakhiyani, G.K. Palshikar, A. Sinha, R. Srivastava, Extraction of Complex Semantic Relations from Resumes, Workshop on Applied Semantics Extraction and Analytics (ASEA), co-located with 30th International Joint Conference on Artificial Intelligence (IJCAI2021), Montreal, Canada, 19–26 August, 2021.
B. Ali, R. More, S. Pawar, G.K. Palshikar, Prior Case Retrieval using Evidence Extraction from Court Judgements, 5th Workshop on Automated Semantic Analysis of Information in Legal Text (ASAIL) co-located with 18th International Conference on Artificial Intelligence and Law (ICAIL 2021), São Paulo, Brazil, 21–25 June 2021. http://ceur-ws.org/Vol-2888/
S. Pal, A. Singh, I. Bhattacharya, S. Patil, G.K. Palshikar, Semantic Templates for Generating Long-form Technical Questions, 24th International Conference on Text, Speech and Dialog (TSD 2021), Olomouc, Czech Republic, 6-9 September, 2021, Ekštein K., Pártl F., Konopík M. (eds), LNCS, volume 12848, Springer, pp. 235--247.
S. Patil, N. Ramrakhiyani, S. Hingmire, A. Kumar, G.K. Palshikar, Extracting Events from Industrial Incident Reports, Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2021) in The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), Bangkok, Thailand, 1-6 August, 2021. https://aclanthology.org/2021.case-1.9.pdf
R. Sharma, G.K. Palshikar, Virus Causes Flu: Identifying Causality in the Biomedical Domain using an Ensemble Approach with Target-specific Semantic Embeddings, 26th International Conference on Natural Language & Information Systems (NLDB2021), DFKI Saarbrücken Germany, 23 - 25 June, 2021, E. Metais et al. (Eds.), LNCS 12801, Springer Nature Switzerland AG, pp. 93—104.
G. Ponkiya, D. Kanojia, P. Bhattacharyya, G.K. Palshikar, FrameNet-assisted Noun Compound Interpretation, Findings of ACL 2021 in The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), 1-6 August, 2021, Bangkok, Thailand. https://aclanthology.org/2021.findings-acl.256/
S. Datta, P. Mallik, S. Kopparapu, S. Patil, I. Bhattacharya, G.K. Palshikar, Generating an Optimal Interview Question Plan Using A Knowledge Graph and Integer Linear Programming, 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HLT 2021), 6-11 June 2021 (online). https://aclanthology.org/2021.naacl-main.160/
S. Pawar, G.K. Palshikar, A. Jain, J. Bhat, S. Johnson, Weak Supervision using Linguistic Knowledge for Information Extraction, 17th International Conference on Natural Language Processing (ICON 2020), Patna, India, December 18-21, 2020. https://aclanthology.org/2020.icon-main.50/
N. Jogalekar, V. Attar, G.K. Palshikar, Rumor Detection on Social Networks: A Sociological Approach, 4th International Workshop on Big Data Analytics for Cyber Intelligence and Defense (BDA4CID 2020), held as part of IEEE Int. Conf. on Big Data (IEEE Big Data 2020), held virtually 10–13 December, 2020.
K. Ghosh, S. Pawar, G.K. Palshikar, P. Bhattacharyya, V. Varma, Retrieval of Prior Court Cases using Witness Testimonies, 33rd International Conference on Legal Knowledge and Information Systems (JURIX 2020), December 9-11, 2020 (held online).
Girishkumar Ponkiya, Rudra Murthy, P. Bhattacharyya, G.K. Palshikar, Looking inside Noun Compounds: Unsupervised Prepositional and Free Paraphrasing, Findings of EMNLP 2020. https://aclanthology.org/2020.findings-emnlp.386/
S. Patil, N. Ramrakhiyani, S. Hingmire, S. Pawar, G.K. Palshikar, Extracting Message Sequence Charts from Hindi Narrative Text, First Joint Workshop on Narrative Understanding, Storylines and Events (NUSE 2020), co-located with 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), 09 July, 2020. https://aclanthology.org/2020.nuse-1.11/
N. Pattisapu, S. Patil, G.K. Palshikar, V. Varma, Medical Concept Normalization by Encoding Target Knowledge, Workshop on Machine Learning for Health (ML4H), co-located with Int. Conf. on Neural Information Processing Systems (NeurIPS 2019), 8-14 December, 2019, Vancouver, Canada.
R. Srivastava, S. Hingmire, G.K. Palshikar, Clustering Skills for Industrial Learning, Workshop on Artificial Intelligence for Education (AI4EDU) co-located with 34th AAAI Conference on Artificial Intelligence (AAAI 2020), 7–12 Feb., 2020, New York, USA.
S. Vaishampayan, G.K. Palshikar, M. Apte, V.Z. Attar, Causality: An Overlooked Aspect in Anomaly Detection, IEEE TENCON 2019, 17-20 October, 2019, Kochi, Kerala.
A. Sainani, N. Ramrakhiyani, Preethu R.A., S. Pawar, G.K. Palshikar, S. Ghaisas, Towards Disambiguating Contracts for their Successful Execution - A Case from Finance Domain, FinNLP Workshop in 28th Int. Joint Conf. on Artificial Intelligence (IJCAI 2019), 10-16 August, 2019, Macao, China. Link: https://www.aclweb.org/anthology/W19-5502/
G.K. Palshikar, S. Pawar, S. Patil, S. Hingmire, N. Ramrakhiyani, P. Bhattacharyya, V. Varma, Extraction of Message Sequence Charts from Narrative History Text, Workshop on Narrative Understanding, co-located with The 2019 Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL-HLT 2019), 2–7 June, 2019, Minneapolis, USA. https://aclanthology.org/W19-2404/
S. Pawar, P. Bhattacharyya, G.K. Palshikar, Techniques for Jointly Extracting Entities and Relations: A Survey, 20th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing 2019), April 7–13, 2019, La Rochelle, France.
G.K. Palshikar, S. Pawar, M. Shah, R. Srivastava, Identification of Repeating Sections within Documents, 20th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing 2019), April 7–13, 2019, La Rochelle, France. Journal version in Computación y Sistemas, Vol. 23, No. 3, 2019, pp. 819–828.
S. Sangwan, R. Sharma, G.K. Palshikar, A. Ekbal, Cold is a Disease and D-cold is a Drug: Identifying Biological Types of Entities in the Biomedical Domain, 20th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing 2019), April 7–13, 2019, La Rochelle, France.
S. Pawar, P. Bhattacharya, G.K. Palshikar, Extracting N-ary Relations Spanning Multiple Sentences using Constrained Subsequence Kernel, 20th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing 2019), April 7–13, 2019, La Rochelle, France.
G.K. Palshikar, N. Ramrakhiyani, S. Patil, S. Pawar, S. Hingmire, V. Varma, P.Bhattacharyya, Extraction of Message Sequence Charts from Software Use-Case Descriptions, The 2019 Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL-HLT 2019 Industry Track), 2–7 June, 2019, Minneapolis, USA. https://aclanthology.org/N19-2017.pdf
N. Ramrakhiyani, G.K. Palshikar, V. Varma, A Simple Neural Approach for Spatial Role Labeling, 41st European Conference on Information Retrieval (ECIR 2019), Cologne, Germany, 14–18 April, 2019, L. Azzopardi et al. (Eds.), LNCS 11438, Springer, pp. 102–108,.
A. Pawde, G.K. Palshikar, M. Apte, V. Attar, Synthesizing Data for Collusion-based Malpractice of Shell Companies in Money Laundering, Proc. 4th IEEE International Conference for Convergence in Technology (I2CT 2018), Mangalore, India, 27-28 Oct., 2018.
N. Ramrakhiyani, S. Hingmire, S. Pawar, S. Patil, G.K. Palshikar, P. Bhattacharyya, V. Varma, Resolving Actor Coreferences in Hindi Narrative Text, Proc. 15th International Conference on Natural Language Processing (ICON 2018), Patiala, India, 15–18 Dec., 2018. https://aclanthology.org/2018.icon-1.7/
G.K. Palshikar, R.Srivastava, M. Shah, S. Pawar, Automatic Shortlisting of Candidates in Recruitment, Proc. First Workshop on Professional Search (ProfS2018), co-located with The 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018), Ann Arbor, Michigan, USA, 8–12 July, 2018.
G. Ponkiya, K. Patel, P. Bhattacharyya, G.K. Palshikar, Treat us Like the Sequences we are: Prepositional Paraphrasing of Noun Compounds using LSTM, Proc. The 27th International Conference on Computational Linguistics (COLING 2018), Santa Fe, New-Mexico, USA, 20-26 August, 2018. https://aclanthology.org/C18-1155/
A. Gupta, D. Verma, S. Patil, S. Pawar, S. Hingmire, G.K. Palshikar, P. Bhattacharyya, Identifying Participant Mentions and Resolving their Coreferences in Legal Court Judgements, Proc. 21st International Conference on Text, Speech and Dialogue (TSD 2018), Brno, Czech Republic, 11–14 September, 2018.
G. Ponkiya, K. Patel, P. Bhattacharyya, G.K. Palshikar, Towards a Standardized Dataset for Noun Compound Interpretation, The 11th Language Resources and Evaluation Conference (LREC2018), Miyazaki, Japan, 7-12 May, 2018. https://aclanthology.org/L18-1489/
S. Patil, S. Pawar, S. Hingmire, G.K. Palshikar, V. Varma, P. Bhattacharyya, Identification of Alias Links among Participants in Narratives, The 56th Annual Meeting of the Association for Computational Linguistics (ACL 2018), Melbourne, Australia, 15–20 July, 2018. https://aclanthology.org/P18-2011.pdf
R. Sharma, G.K. Palshikar, S. Pawar, An Unsupervised Approach for Cause-Effect Relation Extraction from Biomedical Text, Proc. 23rd International Conference on Natural Language & Information Systems (NLDB 2018), Paris, France, 13-15th June, 2018.
S. Gupta, M. Gupta, V. Varma, S. Pawar, N. Ramrakhiyani, G.K. Palshikar, Co-training for Extraction of Adverse Drug Reaction Mentions from Tweets, 40th European Conference on Information Retrieval (ECIR2018), Grenoble, France, 26-29 March, 2018. Preliminary version published in Workshop on Machine Learning for Health (ML4H2017), held as part of NIPS 2017 conference, 04-09 December, 2017, Long Beach, CA, USA.
S. Gupta, M. Gupta, V. Varma, S. Pawar, N. Ramrakhiyani, G.K. Palshikar, Multi-Task Learning for Extraction of Adverse Drug Reaction Mentions from Tweets, 40th European Conference on Information Retrieval (ECIR2018), Grenoble, France, 26–29 March, 2018. Preliminary version published in the Workshop on Machine Learning for Health (ML4H2017), held as part of NIPS 2017 conference, 04-09 December, 2017, Long Beach, CA, USA.
D. K. Luna, G. K. Palshikar, M. Apte, A. Bhattacharya, Finding Shell Company Accounts using Anomaly Detection, ACM India Joint International Conference on Data Science and Management (CoDS-COMAD 2018), Goa, India, Jan 11-13, 2018.
S. Hingmire, A. Shrivastav, G.K. Palshikar, Experiments with Domain Dependent Dialogue Act Classification using Open-Domain Dialogue Corpora, Proc. 14th International Conference on Natural Language Processing (ICON 2017), 18-21 December, 2017, Kolkata, India. https://aclanthology.org/W17-7538/
M. Shah, G.K. Palshikar, R. Srivastava, New Approaches of Resume Sectioning for Automating Talent Acquisition, Proc. Fifth International Conference on Business Analytics and Intelligence (ICBAI2017), Bangalore, India, 11-13 December, 2017.
S. Hingmire, S. Chakraborty, G.K. Palshikar, WikiLDA: Enhancing Interpretability of LDA Topics Using Wikipedia, Proc. Ninth International Conference on Knowledge Capture (K-CAP 2017), Austin, Texas, USA, 4–6 December, 2017.
H. Bedi, S. Patil, S. Hingmire, G.K. Palshikar, Event Timeline Generation from History Textbooks, Proc. of the Fourth Workshop on NLP Techniques for Educational Applications (NLPTEA 2017), Tapei, Taiwan, 27 November – 01 December, 2017. Held as part of IJCNLP 2017. https://aclanthology.org/W17-5912/
R. Srivastava, G.K. Palshikar, S. Chaurasia, What’s Next? A Recommendation System for Industrial Training, Proc. of Workshop on Human Capital Management, held as part of International Conference on Data Management (ICDM 2017), New Orleans, USA, 18–21 November, 2017.
S. Pawar, G.K. Palshikar, P. Bhattacharyya, N. Ramrakhiyani, S. Gupta, V. Varma, TCS Research at TAC 2017: Joint Extraction of Entities and Relations from Drug Labels using an Ensemble of Neural Networks, Text Analysis Conference (TAC2017), 13-14 November, 2017, Gaithersburg, Maryland, USA. https://tac.nist.gov/publications/2017/participant.papers/TAC2017.trddc_iiith.proceedings.pdf
S. Gupta, S. Pawar, N. Ramrakhiyani, G. K. Palshikar and V. Varma, Multi-Task Learning for Extraction of Adverse Drug Reaction Mentions from Tweets, 11th International Workshop on Data and Text Mining in Biomedical Informatics (DTMBio 2017), 6–10 November, 2017, Singapore (held as part of CIKM 2017). Enhanced version of this paper was published in the BMC Bioinformatics Journal.
G.K. Palshikar, M. Apte, S. Pawar, N. Ramrakhiyani, HiSPEED: A System for Mining Performance Appraisal Data and Text, Proc. 4th IEEE International Conference on Data Science and Advanced Analytics (DSAA2017), 19–21 October 2017, Tokyo, Japan, pp. 477 – 486.
G.K. Palshikar, S. Pawar, S. Chourasia, N. Ramrakhiyani, Mining Supervisor Evaluation and Peer Feedback in Performance Appraisals, 18th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing 2017), 17–23 April 2017, Budapest, Hungary.
G.K. Palshikar, M. Apte, D. Pandita, Weakly Supervised Classification of Tweets for Disaster Management, Workshop on Exploitation of Social Media for Emergency Relief and Preparedness (SMERP), held as part of 39th European Conference on Information Retrieval (ECIR 2017), 9–13 April 2017, Aberdeen, Scotland, UK.
G.K. Palshikar, R. Srivastava, S. Pawar, Analytics-led Talent Acquisition for Improving Efficiency and Effectiveness, 5th IIMA International Conference on Advanced Data Analysis, Business Analytics and Intelligence (ICADABAI 2017), 8–9 April 2017, Ahmedabad, India.
R. Srivastava, S. Hingmire, G. K. Palshikar, S. Chaurasia, A. Dixit, CSRS: A Context and Sequence Aware Recommendation System, 8th Meeting of the Forum for Information Retrieval Evaluation (FIRE 2016), 7–10 December 2016, Kolkata, India.
N. Ramrakhiyani, S. Pawar, S. Hingmire, G.K. Palshikar, Measuring Topic Coherence through Optimal Word Buckets, Proc. 15th Meeting of the European Chapter of the Association for Computational Linguistics (EACL 2017), 3–7 April 2017, Valencia, Spain.
S. Pawar, P. Bhattacharyya, G.K. Palshikar, End-to-end Relation Extraction using Neural Networks and Markov Logic Networks, Proc. 15th Meeting of the European Chapter of the Association for Computational Linguistics (EACL 2017), 3–7 April 2017, Valencia, Spain. https://aclanthology.org/E17-1077/
K. Sahu, G.K. Palshikar, R. Srivastava, Time Up! Predictive Models for Project Team Member Release, Fourth International Conference on Business Analytics and Intelligence (ICBAI 2016), 19–21 December 2016, Bangalore, India. Won the Best Paper award.
G.K. Palshikar, S. Pawar, N. Ramrakhiyani, Role Models: Mining Role Transitions Data in IT Project Management, 3rd IEEE International Conference on Data Science and Advanced Analytics (DSAA 2016), 17–19 October 2016, Montreal, Canada.
G.K. Palshikar, M. Apte, D. Pandita, Vikram Singh, Learning to Identify Subjective Sentences, 13th International Conference on Natural Language Processing (ICON 2016), 19–20 December, 2016, Varanasi, India. https://aclanthology.org/W16-6330.pdf
G. Ponkiya, P. Bhattacharyya, G. K. Palshikar, On Why Coarse Class Classification is Bottleneck in Noun Compound Interpretation, 13th International Conference on Natural Language Processing (ICON 2016), 19–20 December, 2016, Varanasi, India. https://aclanthology.org/W16-6336/
G.K. Palshikar, R. Srivastava, A. Sodani, V. Ganesan, A.P. Srinivas, K. Padmanabhan, An Optimal People Allocation Engine for Software Development Projects, 28th European Conference on Operations Research (EURO 2016), 3–6 July 2016, Poznan, Poland. The presentation I used in the conference is here.
S. Pawar, N. Ramrakhiyani, S. Hingmire, G.K. Palshikar, Topics and Label Propagation: Best of Both Worlds for Weakly Supervised Text Classification, 17th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing 2016), 3–9 April 2016, Konya, Turkey. https://arxiv.org/pdf/1712.02767
N. Ramrakhiyani, S. Pawar, G.K. Palshikar, M. Apte, Aspects from Appraisals! A Label Propagation with Prior Induction Approach, 21st International Conference on Applications of Natural Language to Information Systems (NLDB 2016), 22-14 June 2016, Salford, UK, LNCS 9612, Springer, pp. 301–309.
M. Apte, S. Pawar, S. Patil, S. Baskaran, A. Shrivastava, G.K. Palshikar, Short Text Matching in Performance Management, 21st International Conference on Management of Data (COMAD 2016), Pune, India, 11–13 March 2016, pp. 13–23.
G.K. Palshikar, K. Sahu, R. Srivastava, Ensembles of Interesting Subgroups for Discovering High Potential Employees, Proc. Pacific Asia Knowledge Discovery and Data Mining Conference (PAKDD 2016) Auckland, New Zealand, 19–22 April 2016, LNCS 9652, J. Bailey, L. Khan, T. Washio, G. Dobbie, J. Z. Huang, R. Wang (Ed.s), Springer, pp. 208--220.
S. Pawar, P. Bhattacharyya, G.K. Palshikar, End-to-End Relation Extraction using Markov Logic Networks, Proc. 17th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing 2016), 3–9 April 2016, Konya, Turkey.
N. Ramrakhiyani, S. Pawar, G.K. Palshikar, word2vec or JoBimText? A Comparison for Lexical Expansion of Hindi Words, 7th Forum for Information Retrieval Evaluation (FIRE 2015), 4–6 December 2015, Ahmedabad, India. (http://dl.acm.org/citation.cfm?id=2838706)
S. Pawar, N. Ramrakhiyani, G.K. Palshikar, P. Bhattacharyya, S. Hingmire, Noun Phrase Chunking for Marathi using Distant Supervision, 12th Int. Conf. on Natural Language processing (ICON 2015), 11–14 December 2015, Thiruvananthpuram, India. https://aclanthology.org/W15-5905.pdf
G. K. Palshikar, K. Sahu, R. Srivastava, After You, Who? Data Mining for Identification of Replacements, 3rd International Conference on Mining Intelligence and Knowledge Exploration (MIKE 2015), 9–11 December 2015, Hyderabad, India, R. Prasath, A.K. Vuppala, T. Kathirvalavakumar (ed.s), LNAI 9468, Springer, pp. 543--552.
M. S. Gharote, A. K. Sodani, G. K. Palshikar, R. Srivastava, Comparison of IT Services Organizational Units on the basis of Human Capital Measures, 2015 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM2015), 6–9 December 2015, Singapore.
S. Pawar, N. Ramrakhiyani, G. K. Palshikar, S. Hingmire, Deciphering Review Comments: Identifying Suggestions, Appreciations and Complaints, 20th Int. Conf. on Applications of Natural Language to Information Systems (NLDB 2015), C. Biemann, S. Handschuh, A. Freitas, F. Maziane, E. Metais (Ed.s), 17–19 June 2015, Passau, Germany, LNCS 9103, pp. 204–211, Springer, 2015.
R. Srivastava, G. K. Palshikar, S. Pawar, Analytics for Improving Talent Acquisition Processes, Proc. 4th IIMA International Conference on Advanced Data Analysis, Business Analytics and Intelligence (ICADABAI 2015), 11–12 April 2015, Ahmedabad, India.
G. K. Palshikar, Detecting Frauds and Money Laundering: A Tutorial, Proc. Third International Conference on Big Data Analytics (BDA 2014), 20–23 December 2014, New Delhi, India, S. Srinivasa and S. Mehta (Eds.), LNCS 8883, pp. 145–160, Springer, 2014.
S. Pawar, S. Hingmire, G. K. Palshikar, LMSim: Computing Domain-specific Semantic Word Similarities Using a Language Modeling Approach, Proc. 11th International Conference on Natural Language Processing (ICON 2014), 18-21 Dec. 2014, Goa, India. https://aclanthology.org/W14-5116/
R. Srivastava, M. Gharote, G.K. Palshikar, A Novel Approach for Effective Campus Recruitment, Proc. Annual International Conference of the German Operations Research Society (OR2014), Aachen, Germany, September 2-5, 2014.
M. Gharote, G.K. Palshikar, S. Lodha, A Mathematical Approach for Campus Interview Panel Selection, Proc. 21st European Operations Management Association Conference (EurOMA 2014), 20–25 June, 2014, Palermo, Italy. Full paper is here.
N. Ramrakhiyani, S. Pawar,, G.K. Palshikar, A System for Classification of Propositions of the Indian Supreme Court Judgements, In Proceedings of the 5th 2013 Forum on Information Retrieval Evaluation (FIRE 2013), New Delhi, India, Dec. 4–6, 2013, pp. 1–4, Prasenjit Majumder, Mandar Mitra, Madhulika Agrawal, and Parth Mehta (Eds.). ACM, New York, NY, USA, Article 15, 4 pages. http://doi.acm.org/10.1145/2701336.2701643 .
S. Pawar, P. Bhattacharyya, G.K. Palshikar, Semi-supervised Relation Extraction using EM Algorithm, Proc. 10th Int. Conf. on Natural Language Processing (ICON 2013), pp. 53–62, New Delhi, India, Dec. 18-20, 2013.
S. Patil, S. Pawar, G.K. Palshikar, Named Entity Extraction Using Information Distance, Proc. 6th International Joint Conference on Natural Language Processing (IJCNLP 2013), Nagoya, Japan, Oct. 14–18, 2013. https://aclanthology.org/I13-1180/
S. Patil, G.K. Palshikar, SurveyCoder: A System for Classification of Survey Responses, Proceedings of the 18th International Conference on Applications of Natural Language to Information Systems (NLDB 2013), 19-21 June 2013, Salford, UK, E. Métais, F. Meziane, M. Saraee, V. Sugumaran, S. Vadera (ed.s), LNCS 7934, pp. 417-420, Springer, 2013.
S. Hingmire, S. Chougule, G.K. Palshikar, S. Chakraborty, Document Classification by Topic Labeling, Proceedings of International Conference on Information Retrieval (SIGIR 2013), July 28–August 1, 2013, Dublin, Ireland, pp. 877–880, ACM Press.
S. Patil, S. Pawar, G.K. Palshikar, S. Bhat, R. Srivastava, Unsupervised Gazette Creation Using Information Distance, Proceedings of the 18th International Conference on Application of Natural Language to Information Systems (NLDB2013), 19-21 June 2013, Salford, UK, E. Métais, F. Meziane, M. Saraee, V. Sugumaran, S. Vadera (ed.s), LNCS 7934, pp. 388-391, Springer, 2013. Also presented a version of this paper as a poster in the First Indian Workshop on Machine Learning (iWML 2013) at Indian Institute of Technology, Kanpur, India, 1-3 July, 2013.
S. Hingmire, S. Chougule, G.K. Palshikar, S. Chakraborty, Almost Unsupervised Document Content Filtering using Topic Models, Proceedings of the Workshop on Analytics for Noisy Unstructured Text Data (AND 2012), 24th International Conference on Computational Linguistics (COLING 2012), 8–15 Dec., 2012, Mumbai, India.
S. Patil, G.K. Palshikar, R. Srivastava, I. Das, Learning to Rank Resumes, working notes for the annual meeting of the Forum for Information Retrieval Evaluation (FIRE 2012), 17–19 Dec., 2012, Kolkata, India.
G.K. Palshikar, M. Mudassar, H.M. Vin, M. Natu, Streamlining Service Levels for IT Infrastructure Support, Proc. Workshop on Data Mining for Services (DMS 2012) in IEEE International Conference on Data Mining (ICDM 2012), Dec., 10–13, 2012, Brussels, Belgium, pp. 309–316.
G. K. Palshikar, S. Chougule, H.M. Vin, M. Mudassar, Optimal Skill Profile for Service Desk Teams, Proc. of International Conference on Optimization, Computing & Business Analytics (ICOCBA 2012), held as part of the 45th Annual Convention of Operations Research Society of India (ORSI), Kolkata, India, 20–22 December, 2012, Allied Publishers Pvt. Ltd., pp. 183–188.
G.K. Palshikar, Automated Train Operation System for a Mine, invited paper for XXVI International Mineral processing Congress (IMPC 2012), New Delhi, India, 24–28 Sep., 2012.
A. L. Ahuja, G.K. Palshikar, Generating Project Plans for IT Infrastructure Transformations, Proc. 25th Joint Australasian Conference on Artificial Intelligence (AI 2012), Sydney, Australia, 4–7 Dec., 2012, M. Thielscher and D. Zhang (Eds.), LNCS 7691, pp. 767–778.
S. Pawar, R. Srivastava, G.K. Palshikar, Automatic Gazette Creation for Named Entity Recognition and Application to Resume Processing, Proc. ACM COMPUTE 2012 Conference, Pune, India, 24-Jan-2012.
G.K. Palshikar, S. Deshpande, G. Athiappan, Combining Summaries using Unsupervised Rank Aggregation, Proc. Int. Conference on Intelligent Text Processing and Computational Linguistics (CICLing 2012), New Delhi, 11-17 March, 2011, LNCS 7182, pp. 378–389, Springer 2012.
S. Deshpande, G.K. Palshilkar, G Athiappan, An Unsupervised Approach to Sentence Classification, Proc. Int. Conf. on Management of Data (COMAD 2010), Nagpur, India, December 8–10, 2010, Allied Publishers Pvt. Ltd., pp. 88 - 99.
M. Natu, G.K. Palshikar, Interesting Subset Discovery and its Application on Service Processes, Proc. Workshop on Data Mining for Services (DMS 2010) held as part of the Int. Conference on Data Mining (ICDM 2010), Australia, Dec. 2010, pp. 1061-1068.
G. K. Palshikar, H. Vin, M. Mudassar, M. Natu, Domain-driven Data Mining for IT Infrastructure Support, Proc. Workshop on Domain Driven Data Mining (DDDM 2010), held as part of the Int. Conference on Data Mining (ICDM 2010), Australia, 2010, pp. 959–966.
G.K. Palshikar, A.L. Ahuja, H.M. Vin, Utilization Analysis of Servers in a Data Centre, Proc. Second Int. Conf. Data Engineering and Management (ICDEM 2010), Tiruchirappalli, India, July 29-31, 2010, F. Andres and R. Kannan (ed.s), LNCS 6411, pp. 173–180, Springer-Verlag, 2010.
G.K. Palshikar, S. Deshpande, S. Bhat, QUEST: Discovering Insights from Survey Responses, Proc. 8th Australasian Data Mining Conf. (AusDM 2009), Dec. 1-4, 2009, Melbourne, Australia, P.J. Kennedy, K.-L. Ong, P. Christen (Ed.s), CRPIT, vol. 101, published by Australian Computer Society, pp. 83 - 92, 2009.
G.K. Palshikar, Simple Algorithms for Peak Detection in Time-Series, in Proc. 1st Int. Conf. Advanced Data Analysis, Business Analytics and Intelligence (ICADABAI2009), Ahmedabad, India, 6-7 June 2009.
V. Vijaya Saradhi, G.K. Palshikar, Improving Maximum Margin Clustering Through Span of Support Vectors Minimization, in Proc. 1st Int. Conf. Advanced Data Analysis, Business Analytics and Intelligence (ICADABAI 2009), Ahmedabad, India, 6-7 June 2009.
M. Natu, G.K. Palshikar, Discovering Interesting Subsets using Statistical Analysis, G. Das, N.L. Sarda, P. Krishna Reddy (ed.s), Proc. 14th Int. Conf. on Management of Data (COMAD 2008), Dec. 17-19, 2008, Mumbai, India, Allied Publishers Pvt. Ltd., pp. 60 - 70.
G.K. Palshikar, Keyword Extraction from Single Document using Centrality Measures, Proc. 2nd Int. Conf. Pattern Recognition and Machine Intelligence (PReMI 2007), Dec. 18 - 22, 2007, Kolkata, India, A. Ghosh, R.K. De, S.K. Pal (ed.s), LNCS 4815, Springer-Verlag, pp. 503 - 510.
G.K. Palshikar, Representation and Execution of Graph Grammar in Prolog, Proc. 23rd Int. Conf. on Logic Programming (ICLP 2007), Sep. 8 - 13, 2007, Porto, Portugal, V. Dahl, I. Niemela (ed.s), LNCS 4670, Springer, pp. 442 - 443, 2007.
G.K. Palshikar, R. Kelkar, Anomaly Detection in Labeled Data, Proc. Int. Conf. on Management of Data (COMAD 2006), New Delhi, India.
A. Bijral, G. K. Palshikar, Mining Interesting Temporal Patterns: An Information Theoretic Approach, Proc. Second Indian Int. Conf. on Artificial Intelligence (IICAI 2005), Dec. 20-22, 2005, Pune, India, Bhanu Prasad (Ed.), pp. 1377 – 1389.
G. K. Palshikar, M. Apte, Collusion Set Detection Using Graph Clustering, Proc. Int. Conf. on Management of Data (COMAD 2005b), Dec. 20 – 22, 2005, Hyderabad, India, pp. 101 – 112, Allied Publishers Pvt. Ltd.
G. K. Palshikar, Distance-based Outliers in Sequences, Proc. Second Int. Conf. on Distributed Computing and Internet Technology (ICDCIT 2005), Dec. 22–24, 2005, Bhubaneswar, India, G. Chakraborty (Ed.), LNCS 3816, Springer-Verlag, pp. 547 – 552, 2005.
G.K. Palshikar, M. Kale, M. Apte, Association Rules Mining using Heavy Itemsets, Proc. Int. Conf. Management of Data (COMAD 2005), Goa, India, Jan. 6-8, 2005, Computer Society of India, pp. 148-155.
G. K. Palshikar, Specification and Detection of Soft Temporal Patterns, Proc. Int. Conf. Knowledge Based Computing Systems (KBCS 2004), Hyderabad, India, Dec. 20-22, 2004, Allied Publishers Pvt. Ltd., pp. 196-206.
G.K. Palshikar, A. Pavaskar, M. Jadhav, D. Patil, M. Bakshi, An RF-based Embedded System for Protecting Unmanned Railway Crossings, Proc. Int. Conf. on Information Technology (ICIT 2003), Bhubaneshwar, India, 22-25 Dec. 2003, pp. 275-278, Allied Publishers Pvt. Ltd.
G.K. Palshikar, Sunod Kumar, S. Achalia, P. Alhat, Y.S. Dhimate, Soft Temporal Patterns for Technical Analysis of Stock Markets, Proc. First Indian Int. Conf. on Artificial Intelligence (IICAI 2003), Hyderabad, India, 18-20 Dec. 2003, pp. 1165-1174.
G. K. Palshikar, P. Bhaduri, Verification of Scenario-based Specifications using Templates, Proc. Workshop on Software Verification and Validation (SVV’03), Mumbai, India, 14-Dec-2003, pp. 1 - 14.
G. K. Palshikar, Fuzzy Spatial Concepts in Finite Discrete Space Domains, in M. Sasikumar, Jayprasad J. Hegde, M. Kavitha (ed.s), Proc. Int. Conf. on Knowledge-based Systems (KBCS-2002), Dec. 19-21, 2002, Mumbai, India, Vikas Publishing House, pp. 117-126.
P. Bhaduri, R. Venkatesh, G. K. Palshikar, Formal Techniques for Analyzing Scenarios using Message Sequence Charts, Proc. Workshop on Validation and Implementation of Scenario-based Specifications (VISS 2002), Grenoble, France, 6-7, April, 2002.
G.K. Palshikar, A Dynamic Programming Iterative Deepening Algorithm for Satisfiability, Proc. Int. Symp. on Artificial Intelligence (ISAI 2001), R. Akerkar (Ed.), Artificial Intelligence: Future Trends, Allied Publishers, July 2002, pp. 89-98.
G. K. Palshikar, FZLOG: Integrated Representation of Formal and Fuzzy Knowledge, Proc. Int. Conf. on Information Technology (ICIT-2000), Dec. 20-23, 2000, Bhubaneswar, India, Tata McGraw-Hill, pp. 71-76.
G. K. Palshikar, Representing Fuzzy Temporal Knowledge, Proc. Int. Conf. on Knowledge-Based Systems (KBCS-2000), Dec. 17-19, 2000, Mumbai, India, Allied Publishers Pvt. Ltd., pp. 252-263.
G. K. Palshikar, Arun Bahulkar, Fuzzy Temporal Patterns for Analysing Stock Market Databases, Proc. Int. Conf. on Advances in Data Management (COMAD-2000), Dec. 14-16, 2000, Pune, India, Tata-McGraw Hill, pp. 135-142.
G. K. Palshikar, D. Khemani, Trace-based Diagnosis, Proc. Int. Conf. on Knowledge-Based Computing Systems (KBCS-98), Mumbai, India, 1998, pp. 91103.
G. K. Palshikar, K. V. Nori, Formal Specification of PLC Programs using Temporal Logic, Proc. 16th All India Conference on Manufacturing Technology Design and Research (AIMTDR 1994), Bangalore, India, Dec. 1994, pp. 289-295.
G. K. Palshikar, K. V. Nori, ZLOG: A Tool for Formal Specifications of Real-time Embedded Systems, Proc. ISRO Workshop on Embedded Real-Time Computing Systems, organized by AAFAS (Association for Advancement of Fault-Tolerant and Autonomous Systems), Bangalore, India, Nov. 1993, pp. 36–41. Scanned copy of the published version is here.
G. K. Palshikar, C.R. Muthukrishnan, Extensions to PLITS and Applications, Proc. IFIP Conference on Distributed Processing, Amsterdam, The Netherlands, 5-7 Oct. 1987. This paper was accepted and was even scheduled for presentation (see the conference program here). However, the proceedings did not include my paper (see the Table of Contents here), probably because I could not go to present the paper in-person, or because IIT-Madras finance department had not paid the registration fees. Thank you very much Mukta (my daughter) for digging up the proceedings in the Archives of the Harvard Library. So my very first paper is kind of unpublished unfortunately. This accepted-but-not-published syndrome has happened to me at another time as well.
Technical and Professional Articles
G. K. Palshikar, Satisfying the Satisfiability Problem, C/C++ Users’ Journal, Sep. 2005, pp. 20 – 24.
G.K. Palshikar, An Introduction to Model Checking, Embedded Systems Programming, vol. 17, no. 3, March 2004, pp. 22-29.
G. K. Palshikar, Improving Rule-base Quality with Rule Classification, PC-AI, vol. 16. no. 6, June 2003, pp. 42-47.
G. K. Palshikar, The Message is the Medium: Specifying Interaction Scenarios using Message Sequence Charts, Embedded Systems Programming, vol. 15, no. 11, Nov. 2002, pp. 28-36.
G. K. Palshikar, Making Unmanned Railway Crossings Safe, Electronics For You, vol. 34, no. 10, Oct. 2002, pp. 62-64.
G.K. Palshikar, The Hidden Truth - Frauds and Their Control: A Critical Application for Business Intelligence, Intelligent Enterprise, vol. 5, no. 9, 28-May-2002, pp. 46-51.
G. K. Palshikar, Fuzzy Logic: Reasoning with Uncertain Information, I.T. Magazine, Jan. 2002.
G. K. Palshikar, Simulated Annealing: A Heuristic Optimization Algorithm, Dr. Dobb’s Journal, vol. 26, no. 9, Sept. 2001, pp. 120-126. Also reprinted in Developer 2.0, vol. 1, no. 7, Dec. 2001, pp. 96-99. I am trying to find the scanned copy of the published version; till then here is the camera-ready version.
G. K. Palshikar, An Introduction to Esterel, Embedded Systems Programming, vol. 14, no. 11, Nov 2001, pp. 60 – 72.
G. K. Palshikar, Simulation of Petri Nets in Prolog: Modeling Dynamic System Behaviour, PC-AI, vol. 15, no. 3, May/June 2001, pp. 43-47.
G. K. Palshikar, Patterns in Data as Business Intelligence, Intelligent Enterprise, vol. 4, no. 6, 16-April-2001, pp. 46-51.
G. K. Palshikar, Consistency-based Diagnosis, Dr. Dobb’s Journal, vol. 26, no. 3, March 2001, pp. 50-56. Since the scanned copy of the published version is a bit noisy, here is the camera-ready version.
D. Basu, G. K. Palshikar, Handy Tools for LAN Managers, Computers Today, Nov. 1990.
TCS White Papers Published on www.tcs.com
G. K. Palshikar, M. Apte, Safeguarding Organizations from Financial Misinformation, TCS White Paper, accepted for publication on www.tcs.com.
G.K. Palshikar, Analysis of Surveys, TCS White Paper published on www.tcs.com (http://www.tcs.com/SiteCollectionDocuments/White-Papers/BFS-Whitepaper-Survey-Analysis-0613-1.pdf), June 2013. (c) Tata Consultancy Services Limited.
G. K. Palshikar, R. Srivastava, S. Pawar, Arrest Attrition with Analytics, TCS White Paper published on www.tcs.com, Feb. 2012. (c) Tata Consultancy Services Limited.
G.K. Palshikar, R. Srivastava, S. Deshpande, S. Pawar, S. Bhat, Information Extraction for Effective Knowledge Management, TCS White Paper published on www.tcs.com, May 2012. (c) Tata Consultancy Services Limited.
G.K. Palshikar, R. Srivastava, S. Pawar, Delivering Value from Resume Repositories, TCS White Paper published on www.tcs.com, Feb. 2012. (c) Tata Consultancy Services Limited.
Papers in TCS Internal Conferences and Journals
S. Patil, N. Ramrakhiyani, S. Hingmire, G.K. Palshikar, Event Timelines for Incident Report Similarity, in TCS A&I Decision Fabric Newsletter, Oct. 2021 issue, pp. 4 - 5.
M.S. Gharote, A. Sodani, G.K. Palshikar, P.A. Tibrewala, K. Saproo, A. Bendre, Efficient Vaccine Distribution Planning using IoT, presented in Technical Architects' Conference (TACTiCS 2015), Chennai, 20th March 2015.
M. Gharote, G.K. Palshikar, R. Srivastava, S. Lodha, An Efficient Optimization Approach for Campus Interview Panel Selection, Technical Architects' Conference (TACTiCS 2014), India, April 2014.
G.K. Palshikar M. Apte, S. Baskaran, Analytics for Detection of Money Laundering, Technical Architects' Conference (TACTiCS 2014), India, April 2014.
G. Palshikar, R. Srivastava, S. Hingmire, iWork: An Analytics Offering for Human Resources Management, Technical Architects' Conference (TACTiCS 2013), Chennai, India, April 2013.
G.K. Palshikar, R. Srivastava, S. Pawar, S. Deshpande, S. Bhat, iTAG: Analytics for Talent Acquisition, Technical Architects' Conference (TACTiCS 2012), New Dellhi, India, Apr. 2012.
R. Srivastava, G. K. Palshikar, S. Hingmire, RINX: Information Extraction, Search and Insights from Resumes, Technical Architects' Conference (TACTiCS 2011), Thiruvanthapuram, India, Apr. 2011.
G. K. Palshikar, Fault Localization in Power Distribution Networks using Operative Diagnosis, The TACTiCS Journal, issue 1, April 2009, pp. 30-35.
G.K. Palshikar, S. Deshpande, S. Pandit, Extracting Competitor Intelligence from News Items, Technical Architects' Conference (TACTiCS 2008), Thiruvanthapuram, India, Jan. 2008.
M. Kale, G. K. Palshikar, S. Chhajed, L. Deshpande, Data Mining over Textual Data, Technical Architects’ Conference (TACTiCS 2005), Tata Consultancy Services, Dec. 9 – 10, 2005, Hyderabad, India.
G. K. Palshikar, Formal Methods for Rigorous Software Development, TCS Journal, Oct-Nov-Dec 2001, pp. 8-16.
Unpublished Papers / Technical Reports (most are complete papers; some are incomplete)
Alok Kumar, V.G. Bairagi, N. Ramrakhiyani, S. Patil, G.K. Palshikar, Enhancing and Benchmarking Tasks in the Hindi TimeBank Dataset.
I. Bhattacharya, P. Saini, G.K. Palshikar, A. Kundu, S. Ghosh, P. Mallick, T. Nayak, S. Patil, S.K. Kopparapu, S. Pal, A. Dasgupta, A. Singh, A. Chhabra, S. Datta, K. Khan, K. Mukherji, M. Pandharipande, C. Anantaram, A. Sivasubramaniam, G. Shroff, A Framework for Assisting Interviewers in Conducting Technical Interviews, 2022.
S. Mahendra, S. Pawar, M. Agrawal, V. Mehrotra, G. K. Palshikar, Driving Digital Transformation and Agility in Regulatory Compliance.
R. Singh, S. Pawar, G.K. Palshikar, Matching Tasks with Industry Groups for Augmenting Commonsense Knowledge, ArXiV 2025. https://arxiv.org/abs/2505.07440
J. Shah, A. Srivastava, S. Pawar, G.K. Palshikar, D. Singh, P. Bhattacharyya, Legal Agreement Analysis using Weak Supervision, 2022.
S. Hingmire, I. Li, S. Wang, A. Fabbri, W.P. Wong, G.K. Palshikar, D. Radev, Investigations in Classification of Scientific Articles in ACL Anthology.
G.K. Palshikar, Extraction of Fault Trees from Incident Reports, March 2020. A small concept note I had written.
K. Sahu, G.K. Palshikar, R. Srivastava, Personalized and Aspiration-Oriented Career Path Recommendation, 2019.
C. Anantaram, G.K. Palshikar, Collective Intelligence in Digital HR Ecosystems of NextGen Workplace, an incomplete book chapter that Dr. C. Anantaram and myself were planning to submit, but somehow we dropped it mid-way.
G.K. Palshikar, Welcome to SRL Notice Board, 2013. A tiny article I wrote for the TRDDC Notice Board.
G.K. Palshikar, Kunal Asarsa, Saket Mahajani, Creating a Person-list using the Web, 2013.
S. Bhat, G.K. Palshikar, Extracting Named Entities in the Manufacturing Domain, 2009.
G.K. Palshikar, Tutorial on WordNet and PERL Interface to WordNet, 2009.
G. K. Palshikar, Tutorial Introduction to R.
G.K. Palshikar, Document Summarization using Central Sentences and Keywords, 2008.
G. K. Palshikar, Silhoutte Coefficient: A Method to Determining the Correct Number of Clusters, 2008.
G. K. Palshikar, Is There a Better Alternative to the Zoning System for Sugar Factories?, 2007.
G. K. Palshikar, R.Y. Kelkar, Feature Selection using Boosting, 2007.
G. K. Palshikar, Unsafe Cases: Hazard Analysis using Scenarios of Unsafe Behaviour, 2007.
G. K. Palshikar, Path Decomposition of Graphs, 2007.
G. K. Palshikar, Heuristic k-Nearest Neighbours Search using Proximity Graph, 2007.
G. K. Palshikar, A Framework for Enumeration of Subgraphs, 2006.
G. K. Palshikar, M. M. Apte, Meter Reading Validation using Data Mining, 2005.
G.K. Palshikar, Clustering: Finding Groups in Data (parts I), 2006.
G.K. Palshikar, Clustering: Finding Groups in Data (part II), 2006.
G.K. Palshikar, Safety Monitoring and Protection System for Mines (Proposal v1.0), 2005.
G.K. Palshikar, Temporal Pattern Detection as Temporal Constraint Satisfaction, 2003.
G.K. Palshikar, Analysis and Validation of Usecase Models, 2001.
G.K. Palshikar, Temporal Logic: Representing and Reasoning About Change, 2001.
G.K. Palshikar, Graph Grammars and Their Applications, 2000.
G.K. Palshikar, N. Tripathi, Integration of Fault Trees and Event Trees through a Common Semantic Basis, 1999.
G. K. Palshikar, Building Multi-Paradigm Formal Specifications, 1998.
G.K. Palshikar, Using Hypergraphs to Model Software Structure Diagrams, 1998.
G.K. Palshikar, Programming Formal Specifications in Prolog, 1997.
G. K. Palshikar, ZLOG: A Prolog Toolkit for Prototyping Z Specifications, 1994.
G. K. Palshikar, Role of Logic in Software Development, in Genesis (TRDDC internal magazine), 1994.
G. K. Palshikar, The Challenge of Consulting R&D Business, 1993.
TRDDC published its Annual Report from year 1999-2000 till about 2006-2007 (I think). A few of these included a brief write-up about my research then. I have scanned only these pages of these reports here.