Publications
Refereed Conferences (reverse chronological order)
[C63] Abhisek Dash, Saptarshi Ghosh, Animesh Mukherjee, Abhijnan Chakraborty, Krishna P. Gummadi. Sponsored is the New Organic: Implications of Sponsored Results on Quality of Search Results in the Amazon Marketplace. AAAI/ACM Conference on AI, Ethics and Society, San Jose, CA, USA, October 2024.
[C62] Siddharth Jaiswal, Animesh Ganai, Abhisek Dash, Saptarshi Ghosh, Animesh Mukherjee. Breaking the Global North Stereotype: A Global South-centric Benchmark Dataset for Auditing and Mitigating Biases in Facial Recognition Systems. AAAI/ACM Conference on AI, Ethics and Society, San Jose, CA, USA, October 2024.
[C61] Abhinav Joshi, Shounak Paul, Akshat Sharma, Pawan Goyal, Saptarshi Ghosh, Ashutosh Modi. IL-TUR: Benchmark for Indian Legal Text Understanding and Reasoning. ACL Main conference, Bangkok, Thailand, August 2024. [Core A*] [pdf (arXiv)] [website]
[C60] Shounak Paul, Rajas Bhatt, Pawan Goyal, Saptarshi Ghosh. Legal Statute Identification: A Case Study using State-of-the-Art Datasets and Methods. ACM SIGIR Conference (Resource & Reproducibility track), pp. 2231--2240, Washington D.C., USA, July 2024. [Core A*]
[C59] Subhendu Khatuya, Koushiki Sinha, Niloy Ganguly, Saptarshi Ghosh, Pawan Goyal. Instruction-Guided Bullet Point Summarization of Long Financial Earnings Call Transcripts. ACM SIGIR Conference, pp. 2477--2481, Washington D.C., USA, July 2024. [short paper] [Core A*] [pdf (arXiv)]
[C58] Majed Almansoori, Mazharul Islam, Saptarshi Ghosh, Mainack Mondal, Rahul Chatterjee. The Web of Abuse: A Comprehensive Analysis of Online Resource in the Context of Technology-Enabled Intimate Partner Surveillance. IEEE European Symposium on Security and Privacy (Euro S&P), Vienna, Austria, July 2024. [pdf]
[C57] Santosh T.Y.S.S, Vatsal Venkatkrishna, Saptarshi Ghosh, Matthias Grabmair. Beyond Borders: Investigating Cross-Jurisdiction Transfer in Legal Case Summarization. Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), pp. 4136–4150, Mexico City, Mexico, June 2024. [Core A] [pdf]
[C56] Subhendu Khatuya, Rajdeep Mukherjee, Akash Ghosh, Manjunath Hegde, Koustuv Dasgupta, Niloy Ganguly, Saptarshi Ghosh, Pawan Goyal. Parameter-Efficient Instruction Tuning of Large Language Models For Extreme Financial Numeral Labelling. Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), pp. 7391--7403, Mexico City, Mexico, June 2024. [Core A] [pdf]
[C55] Anurag Roy, Riddhiman Moulick, Vinay Kumar Verma, Saptarshi Ghosh, Abir Das. Convolutional Prompting meets Language Models for Continual Learning. IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), pp. 23616--23626, Seattle, USA, June 2024. [Core A*] [pdf (arXiv)] [codes]
[C54] Soham Poddar, Rajdeep Mukherjee, Subhendu Khatuya, Niloy Ganguly, Saptarshi Ghosh. How COVID-19 has Impacted the Anti-Vaccine Discourse: A Large-Scale Twitter Study Spanning Pre-COVID and Post-COVID Era. AAAI International Conference on Web and Social Media (ICWSM), pp. 1276--1288, Buffalo, New York, USA, June 2024. [Core A] [pdf (arXiv)]
[C53] Debtanu Datta, Shubham Soni, Rajdeep Mukherjee, Saptarshi Ghosh. MILDSum: A Novel Benchmark Dataset for Multilingual Summarization of Indian Legal Case Judgments. Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 5291--5302, Singapore, December 2023. [short paper] [pdf (arXiv)] [pdf (ACL Anthology)] [dataset] [Core A*]
[C52] Anurag Roy, Vinay Verma, Sravan Voonna, Kripabandhu Ghosh, Saptarshi Ghosh, Abir Das. Exemplar-Free Continual Transformer with Convolutions. International Conference on Computer Vision (ICCV), pp. 5897--5907, Paris, France, October 2023. [pdf (arXiv)] [codes] [Core A*]
[C51] Sagar Chakraborty, Gaurav Harit, Saptarshi Ghosh. TransDocAnalyser: A framework for semi-structured offline handwritten documents analysis with an application to legal domain. International Conference on Document Analysis and Recognition (ICDAR), pp. 45--62, San José, California, USA, August 2023. [pdf (arXiv)] [dataset] [Core A]
[C50] Garima Chhikara, Kripabandhu Ghosh, Saptarshi Ghosh, Abhijnan Chakraborty. Fairness for both Readers and Authors: Evaluating Summaries of User Generated Content. ACM SIGIR, pp. 1996 - 2000, Taipei, Taiwan, July 2023. [short paper] [Core A*]
[C49] Shounak Paul, Arpan Mandal, Pawan Goyal, Saptarshi Ghosh. Pre-trained Language Models for the Legal Domain: A Case Study on Indian Law. International Conference on Artificial Intelligence and Law (ICAIL), pp. 187-196, Braga, Portugal, June 2023. [pdf (arXiv)] [codes] [best pre-trained model - 170,000+ downloads]
[Tutorial] Debasis Ganguly, Jack G. Conrad, Kripabandhu Ghosh, Saptarshi Ghosh, Pawan Goyal, Paheli Bhattacharya, Shubham Kumar Nigam, Shounak Paul. Legal IR and NLP: the History, Challenges, and State-of-the-Art. Tutorial at the European Conference on Information Retrieval (ECIR), pp. 331--340, Dublin, Ireland, April 2023. [resource page] [Core A]
[Tutorial] Jack Conrad, Shirsha Ray Chaudhuri, Shounak Paul, Saptarshi Ghosh. AI & Law: Formative Developments, State-of-the-Art Approaches, Challenges & Opportunities. Tutorial at the Joint International Conference on Data Science & Management of Data (CODS-COMAD), pp. 320–323, Mumbai, India, January 2023. [pdf] [resource page]
[C48] Rajdeep Mukherjee, Abhinav Bohra, Akash Banerjee, Soumya Sharma, Manjunath Hegde, Afreen Shaikh, Shivani Shrivastava, Koustuv Dasgupta, Niloy Ganguly, Saptarshi Ghosh, Pawan Goyal. ECTSum: A New Benchmark Dataset For Bullet Point Summarization of Long Earnings Call Transcripts. Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 10893–10906, Abu Dhabi, December 2022. [pdf (arXiv)] [pdf (ACL anthology)] [codes + dataset] [Core A*]
[C47] Abhay Shukla, Paheli Bhattacharya, Soham Poddar, Rajdeep Mukherjee, Kripabandhu Ghosh, Pawan Goyal and Saptarshi Ghosh. Legal Case Document Summarization: Extractive and Abstractive Methods and their Evaluation. Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the International Joint Conference on Natural Language Processing (AACL-IJCNLP), Virtual Event, pp. 1048--1064, November 2022. [pdf (arXiv)] [pdf (ACL anthology)] [codes + dataset]
[C46] Soham Poddar, Azlaan Mustafa Samad, Rajdeep Mukherjee, Niloy Ganguly, Saptarshi Ghosh. CAVES: A dataset to facilitate explainable classification and summarization of concerns towards COVID vaccines. ACM SIGIR (Resource Track), Madrid, Spain, pp. 3154--3164, July 2022. [pdf (arXiv)] [dataset] [Core A*]
[C45] Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi. Alexa, in you, I trust! Fairness and Interpretability Issues in E-commerce Search through Smart Speakers. The ACM Web Conference (formerly WWW), Virtual Event, France, pp. 3695--3705, April 2022. [pdf (arXiv)] [Core A*]
[C44] Shounak Paul, Pawan Goyal, Saptarshi Ghosh. LeSICiN: A Heterogeneous Graph-based Approach for Automatic Legal Statute Identification from Indian Legal Documents. AAAI Conference on Artificial Intelligence (AAAI), Virtual Event, Canada, pp. 11139--11146, February 2022. [pdf (arXiv)] [codes + dataset] [Core A*]
[C43] Soham Poddar, Mainack Mondal, Janardan Misra, Niloy Ganguly, Saptarshi Ghosh. Winds of Change: Impact of COVID-19 on Vaccine-related Opinions of Twitter users. AAAI International Conference on Web and Social Media (ICWSM), pp. 782--793, June 2022. [pdf (arXiv)] [codes + dataset] [Core A]
[C42] Aniket Deroy, Paheli Bhattacharya, Saptarshi Ghosh, Kripabandhu Ghosh. An Analytical Study of Algorithmic and Expert Summaries of Legal Cases. International Conference on Legal Knowledge and Information Systems (JURIX), Vilnius, Lithuania, pp. 90--99, December 2021. [pdf]
[C41] Arpan Mandal, Paheli Bhattacharya, Sekhar Mandal, Saptarshi Ghosh. Improving Legal Case Document Summarization using Document-specific Catchphrases. International Conference on Legal Knowledge and Information Systems (JURIX), Vilnius, Lithuania, pp. 76--81, December 2021 [short paper]. [pdf]
[C40] Paheli Bhattacharya, Soham Poddar, Koustav Rudra, Kripabandhu Ghosh, Saptarshi Ghosh. Incorporating Domain Knowledge for Extractive Summarization of Legal Case Documents. International Conference on Artificial Intelligence and Law (ICAIL), Virtual Event, Brazil, pp. 22--31, June 2021. [pdf (arXiv)] [codes] Donald Berman Award for Best Student Paper at ICAIL 2021
[C39] Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi. When the Umpire is also a Player: Bias in Private Label Product Recommendations on E-commerce Marketplaces. ACM Conference on Fairness, Accountability, and Transparency (FAccT), Virtual Event, Canada, pp. 873-884, March 2021. [pdf (arXiv)]
[C38] Shounak Paul, Pawan Goyal, Saptarshi Ghosh. Automatic Charge Identification from Facts: A Few Sentence-Level Charge Annotations is All You Need. International Conference on Computational Linguistics (COLING), Virtual Event, Spain, pp. 1011–1022, December 2020. [pdf] [codes]
[C37] Anurag Roy, Vinay Kumar Verma, Kripabandhu Ghosh, Saptarshi Ghosh. ZSCRGAN: A GAN-based Expectation-Maximization Model for Zero-Shot Retrieval of Images from Textual Descriptions. ACM Conference on Information and Knowledge Management (CIKM), Virtual Event, pp. 1315-1324, October 2020. [pdf (arXiv)] [codes] [Core A]
[C36] Paheli Bhattacharya, Kripabandhu Ghosh, Arindam Pal, Saptarshi Ghosh. Hier-SPCNet: A Legal Statute Hierarchy-based Heterogeneous Network for Computing Legal Document Similarity. ACM SIGIR, Virtual Event, China, pp. 1657–1660, July 2020 [short paper]. [pdf (arXiv)] [Core A*]
[C35] Paheli Bhattacharya, Shounak Paul, Kripabandhu Ghosh, Saptarshi Ghosh, Adam Wyner. Identification of Rhetorical Roles of Sentences in Indian Legal Judgments. International Conference on Legal Knowledge and Information Systems (JURIX), Madrid, Spain, December 2019. [Proceedings published as Legal Knowledge and Information Systems, Series on Frontiers in Artificial Intelligence and Applications, vol. 322, pp. 3--12] [pdf] [codes + dataset] JURIX 2019 Best Paper Award
[C34] Shalmoli Ghosh, Prajwal Singhania, Siddharth Singh, Koustav Rudra, Saptarshi Ghosh. Stance Detection in Web and Social Media: A Comparative Study. International Conference of the Cross-Language Evaluation Forum for European Languages (CLEF), Lugano, Switzerland, pp. 75-87, September 2019. [pdf (arXiv)] [codes]
[C33] Abhisek Dash, Animesh Mukherjee, Saptarshi Ghosh. A Network-centric Framework for Auditing Recommendation Systems. IEEE International Conference on Computer Communications (INFOCOM), Paris, France, pp. 1990--1998, April 2019. [pdf] [Core A*]
[C32] Paheli Bhattacharya, Kaustubh Hiware, Subham Rajgaria, Nilay Pochhi, Kripabandhu Ghosh, Saptarshi Ghosh. A Comparative Study of Summarization Algorithms applied to Legal Case Judgments. European Conference on Information Retrieval (ECIR), Cologne, Germany, pp. 413-428, April 2019. [pdf] [codes] [Core A]
[C31] Shalmoli Ghosh, Koustav Rudra, Saptarshi Ghosh, Niloy Ganguly, Sanjay Podder, Naveen Balani, Neville Dubash. Identifying Multi-dimensional Information from Microblogs During Epidemics. ACM India Joint International Conference on Data Science and Management of Data (CoDS-COMAD), Kolkata, India, pp. 224-230, January 2019. [pdf]
[C30] Soumi Dutta, Vibhash Chandra, Kanav Mehra, Sujata Ghatak, Asit Kr. Das, Saptarshi Ghosh. Summarizing Microblogs during Emergency Events: A Comparison of Extractive Summarization Algorithms. International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS), Kolkata, India, pp. 859-872, 2018. [pdf]
[C29] Anurag Roy, Trishnendu Ghorai, Kripabandhu Ghosh, Saptarshi Ghosh. Combining Local and Global Word Embeddings for Microblog Stemming. ACM Conference on Information and Knowledge Management (CIKM), Singapore, pp. 2187-2190, November 2017 [short paper]. [pdf] [codes] [Core A]
[C28] Arpan Mandal, Kripabandhu Ghosh, Arindam Pal, Saptarshi Ghosh. Automatic Catchphrase Identification from Legal Court Case Documents. ACM Conference on Information and Knowledge Management (CIKM), Singapore, pp. 2267-2270, November 2017 [short paper]. [pdf] [codes] [Core A]
[C27] Arpan Mandal, Raktim Chaki, Sarbajit Saha, Kripabandhu Ghosh, Arindam Pal, Saptarshi Ghosh. Measuring Similarity among Legal Court Case Documents. ACM COMPUTE conference, Bhopal, India, pp. 1-9, November 2017. [pdf]
[C26] Moumita Basu, Kripabandhu Ghosh, Somenath Das, Ratnadeep Dey, Somprakash Bandyopadhyay, Saptarshi Ghosh. Identifying Post-Disaster Resource Needs and Availabilities from Microblogs. IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Sydney, Australia, pp. 427-430, July 2017 [short paper]. [pdf]
[C25] Abhijnan Chakraborty, Johnnatan Messias, Fabricio Benevenuto, Saptarshi Ghosh, Niloy Ganguly and Krishna P. Gummadi. Who Makes Trends? Understanding Demographic Biases in Crowdsourced Recommendations. AAAI International Conference on Web and Social Media (ICWSM), Montreal, Canada, pp. 22-31, May 2017. [pdf] [A blog about the work on Follow The Crowd] [Core A]
[C24] Abhijnan Chakraborty, Saptarshi Ghosh, Niloy Ganguly, Krishna P. Gummadi. Optimizing the Recency-Relevancy Trade-off in Online News Recommendations. World Wide Web conference (WWW), Perth, Australia, pp. 837-846, April 2017. [pdf] [Core A*]
[C23] Moumita Basu, Anurag Roy, Kripabandhu Ghosh, Somprakash Bandyopadhyay, Saptarshi Ghosh. A Novel Word Embedding Based Stemming Approach for Microblog Retrieval during Disasters. European Conference on Information Retrieval (ECIR), Aberdeen, Scotland, pp. 589-597, April 2017. [short paper] [pdf] [Core A]
[C22] Juhi Kulshrestha, Motahhare Eslami, Johnnatan Messias, Md. Bilal Zafar, Saptarshi Ghosh, Krishna P. Gummadi, K. Karahalios. Quantifying Search Bias: Investigating Sources of Bias for Political Searches in Social Media. ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW), Portland, Oregon, USA, pp. 417-432, February 2017. [pdf] [This work has also been presented at the Workshop on Data and Algorithmic Transparency, 2016: DAT] [Core A]
[C21] Soumi Dutta, Sujata Ghatak, Saptarshi Ghosh, Asit Kr. Das. A Genetic Algorithm based tweet clustering Technique. IEEE International Conference on Computer Communication and Informatics (ICCCI), Coimbatore, India, pp. 1-6, January 2017.
[C20] Ashish Kr. Layek, Akash Gupta, Saptarshi Ghosh, Sekhar Mandal. Fast Near-Duplicate Detection from Image Streams on Online Social Media during Disaster Events. International IEEE India Conference (INDICON), Bengaluru, India, December 2016. [pdf]
[C19] Mainack Mondal, Johnnatan Messias, Saptarshi Ghosh, Krishna P. Gummadi, Aniket Kate. Forgetting in Social Media: Understanding and Controlling Longitudinal Exposure of Socially Shared Data. USENIX Symposium on Usable Privacy and Security (SOUPS), Denver, USA, pp. 287-299, June 2016. [pdf, slides and talk]
[C18] Moumita Basu, Somprakash Bandyopadhyay, Saptarshi Ghosh. Post disaster situation awareness and decision support through interactive crowdsourcing. International Conference on Humanitarian Technology: Science, Systems and Global Impact (HumTech), Massachusetts, USA, June 2016 [Published in Procedia Engineering, Elsevier, vol. 159, pp. 167--173, 2016]. [pdf]
[C17] Abhijnan Chakraborty, Saptarshi Ghosh, Niloy Ganguly, Krishna P. Gummadi. Dissemination Biases of Social Media Channels: On The Topical Coverage of Socially Shared News. AAAI International Conference on Web and Social Media (ICWSM), Cologne, Germany, pp. 559-562, May 2016. [short paper] [pdf] [Core A]
[C16] Md. Bilal Zafar, Parantapa Bhattacharya, Niloy Ganguly, Saptarshi Ghosh, Krishna P. Gummadi. On the Wisdom of Experts vs. Crowds: Discovering Trustworthy Topical News in Microblogs. ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW), San Francisco, USA, pp. 438-451, February 2016. [pdf] [Core A]
[C15] Koustav Rudra, Subham Ghosh, Niloy Ganguly, Pawan Goyal, Saptarshi Ghosh. Extracting Situational Information from Microblogs during Disaster Events: A Classification-Summarization Approach. ACM International Conference on Information and Knowledge Management (CIKM), Melbourne, Australia, pp. 583-592, October 2015. [pdf] [Core A]
[C14] Soumi Dutta, Sujata Ghatak, Moumita Roy, Saptarshi Ghosh, Asit Kr. Das. A Graph based Clustering Technique for Tweet Summarization. IEEE International Conference on Reliability, Infocom Technologies and Optimization (ICRITO), New Delhi, India, pp. 1-6, September 2015.
[C13] Carlos Freitas, Fabricio Benevenuto, Saptarshi Ghosh, Adriano Veloso. Reverse Engineering Socialbot Infiltration Strategies in the Twitter Social Network. IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Paris, France, pp. 25-32, August 2015. [pdf] [Media coverage: MIT Technology Review, BBC, Zee News India]
[C12] Juhi Kulshrestha, Md. Bilal Zafar, Lisette Espin Noboa, Krishna P. Gummadi, Saptarshi Ghosh. Characterizing Information Diets of Social Media Users. AAAI International Conference on Weblogs and Social Media (ICWSM), Oxford, UK, pp. 218-227, May 2015. [pdf] [Core A]
[C11] Koustav Rudra, Abhijnan Chakraborty, Manav Sethi, Shreyasi Das, Niloy Ganguly, Saptarshi Ghosh. #FewThingsAboutIdioms: Understanding Idioms and its Users in the Twitter Online Social Network. Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Ho Chi Minh City, Vietnam, pp. 108-121, May 2015. [pdf]
[C10] Soumi Dutta, Moumita Roy, Asit Kr. Das, Saptarshi Ghosh. Sentiment Detection in Online Content: A WordNet Based Approach. International Conference on Swarm, Evolutionary and Memetic Computing (SEMCCO), Bhubaneswar, India, pp. 409-420, Dec 2014. [pdf]
[C9] Anubrata Das, Moumita Roy, Soumi Dutta, Saptarshi Ghosh, Asit Kr. Das. Predicting Trends in the Twitter Social Network: A Machine Learning Approach. International Conference on Swarm, Evolutionary and Memetic Computing (SEMCCO), Bhubaneswar, India, pp. 570-581, Dec 2014. [pdf]
[C8] Parantapa Bhattacharya, Md. Bilal Zafar, Niloy Ganguly, Saptarshi Ghosh, Krishna P. Gummadi. Inferring User Interests in the Twitter Social Network. ACM Conference on Recommender Systems (RecSys), Silicon Valley, USA, pp. 357-360, Oct 2014. [short paper] [pdf] [Core A]
[C7] Parantapa Bhattacharya, Saptarshi Ghosh, Juhi Kulshrestha, Mainack Mondal, Md. Bilal Zafar, Niloy Ganguly, Krishna P. Gummadi. Deep Twitter Diving: Exploring Topical Groups in Microblogs at Scale. ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW), Baltimore, USA, pp. 197-210, Feb 2014. [pdf] [Core A]
[C6] Saptarshi Ghosh, Md. Bilal Zafar, Parantapa Bhattacharya, Naveen Kr. Sharma, Niloy Ganguly, Krishna P. Gummadi. On Sampling the Wisdom of Crowds: Random vs. Expert Sampling of the Twitter Stream. ACM Conference of Information and Knowledge Management (CIKM), San Francisco, USA, pp. 1739-1744, Oct-Nov, 2013 [short paper]. [pdf] [Core A]
[C5] Saptarshi Ghosh, Naveen Kr. Sharma, Fabricio Benevenuto, Niloy Ganguly, Krishna P. Gummadi. Cognos: Crowdsourcing Search for Topic Experts in Microblogs. ACM SIGIR International Conference, Portland, USA, pp. 575-584, August 2012. [pdf] [Core A*]
[C4] Abhijnan Chakraborty, Saptarshi Ghosh, Niloy Ganguly. Detecting Overlapping Communities in Folksonomies. ACM Conference on Hypertext and Social Media, Milwaukee, Wisconsin, USA, pp. 213-218, June 2012 [short paper]. [pdf]
[C3] Saptarshi Ghosh, Bimal Viswanath, Farshad Kooti, Naveen Kr. Sharma, Gautam Korlam, Fabricio Benevenuto, Niloy Ganguly, Krishna P. Gummadi. Understanding and Combating Link Farming in the Twitter Social Network. World Wide Web Conference (WWW), Lyon, France, pp. 61-70, April 2012. [pdf] [Media Coverage: GigaOm Tech blog] [Core A*]
[C2] Saptarshi Ghosh, Ajitesh Srivastava, Niloy Ganguly. Assessing the Effects of a Soft Cut-off in the Twitter Social Network. IFIP / TC6 Networking Conference 2011, Valencia, Spain, pp. 288-300, May 2011. [pdf]
[C1] Saptarshi Ghosh, Pabitra Mitra. Combining Content and Structure Similarity for XML Document Classification using Composite SVM Kernels. International Conference on Pattern Recognition (ICPR), Florida, USA, 2008 [short paper]. [pdf]
Refereed Journals (reverse chronological order)
[J42] Aniket Deroy, Kripabandhu Ghosh, Saptarshi Ghosh. Applicability of Large Language Models and Generative Models for Legal Case Judgement Summarization. Artificial Intelligence and Law, Springer, 2024.
[J41] Abhishek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi. Investigating Nudges toward Related Sellers on E-commerce Marketplaces: A Case Study on Amazon. Proceedings of the ACM on Human-Computer Interaction, ACM, 2024 [presented at the ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW), San José, Costa Rica, 2024 (Core A)] [pdf (arXiv)]
[J40] Rahul Pullanikkat, Soham Poddar, Anik Das, Tushar Jaiswal, Vivek Kumar Singh, Moumita Basu, Saptarshi Ghosh. Utilizing the Twitter Social Media to Identify Transportation-related Grievances in Indian Cities. Social Network Analysis and Mining, Springer, vol. 14, article 118, 2024. [online version] [pdf] [dataset]
[J39] Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Jens Frankenreiter, Stefan Bechtold, Krishna P. Gummadi. Antitrust, Amazon, and Algorithmic Auditing. Journal of Institutional and Theoretical Economics (JITE), 2024. [ssrn] [pdf (arXiv)]
[J38] Soham Poddar, Rajdeep Mukherjee, Azlaan Mustafa Samad, Niloy Ganguly, Saptarshi Ghosh. MuLX-QA: Classifying Multi-Labels and Extracting Rationale Spans in Social Media Posts. ACM Transactions on the Web (TWEB), vol. 18, no. 3, pp. 35:1--35:26, August 2024. [online version] [pdf]
[J37] Aniket Deroy, Kripabandhu Ghosh, Saptarshi Ghosh. Ensemble methods for improving extractive summarization of legal case judgements. Artificial Intelligence and Law, Springer, vol. 32, pp. 231--289, 2024 [online version]
[J36] Paheli Bhattacharya, Shounak Paul, Kripabandhu Ghosh, Saptarshi Ghosh, Adam Wyner. DeepRhole: Deep Learning for Rhetorical Role Labeling of Sentences in Legal Case Documents. Artificial Intelligence and Law, Springer, vol. 31, pp. 53--90, 2023. [online version] [pdf]
[J35] Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi. FaiRIR: Mitigating Exposure Bias from Related Item Recommendations in Two-Sided Platforms. IEEE Transactions on Computational Social Systems (TCSS), vol. 10, no. 3, pp. 1301--1313, June 2023. [pdf (arXiv)] [codes]
[J34] Paheli Bhattacharya, Kripabandhu Ghosh, Arindam Pal, Saptarshi Ghosh. Legal Case Document Similarity: You Need Both Network and Text. Information Processing and Management, Elsevier, vol. 59, issue 6, pp. 103069-1 -- 103069-24, November 2022. [dataset] [pdf (ArXiv)]
[J33] Moumita Basu, Sipra Das Bit, Saptarshi Ghosh. Utilising Microblogs for Optimized Real-Time Resource Allocation in Post-Disaster Scenarios. Social Network Analysis and Mining, Springer, vol. 12, article 15, pp. 15:1--15:20, 2022. [online version] [pdf]
[J32] Somnath Pal, Saptarshi Ghosh, Himika Biswas, Mitesh Patwari. Discretization Using Combination of Heuristics for High Accuracy with Huge Noise Reduction. IEEE Transactions on Knowledge and Data Engineering (TKDE), vol. 34, pp. 1710-1722, April 2022. [online version]
[J31] Arpan Mandal, Kripabandhu Ghosh, Saptarshi Ghosh, Sekhar Mandal. A Sequence Labeling Model for Catchphrase Identification from Legal Case Documents. Artificial Intelligence and Law, Springer, vol. 30, pp. 325--358, 2022. [pdf] [codes]
[J30] Krishnandu Hazra, Tanmoy Ghosh, Avirup Mukherjee, Sujoy Saha, Subrata Nandi, Saptarshi Ghosh, Sandip Chakraborty. Sustainable Text Summarization over Mobile Devices: An Energy-Aware Approach. Sustainable Computing: Informatics and Systems, Elsevier, vol. 32, December 2021. [online version] [pdf]
[J29] Anurag Roy, Shalmoli Ghosh, Kripabandhu Ghosh, Saptarshi Ghosh. An Unsupervised Normalization Algorithm for Noisy Text: A Case Study for Information Retrieval and Stance Detection. ACM Journal of Data and Information Quality, vol. 13, No. 3, Article 17, pp. 17:1--17:25, May 2021. [pdf (arXiv)] [codes]
[J28] Arpan Mandal, Kripabandhu Ghosh, Saptarshi Ghosh, Sekhar Mandal. Unsupervised Approaches for Measuring Textual Similarity between Legal Court Case Reports. Artificial Intelligence and Law, Springer, vol. 29, pp. 417--451, January 2021. [pdf]
[J27] Moumita Basu, Kripabandhu Ghosh, Saptarshi Ghosh. Information Retrieval from Microblogs During Disasters: In the Light of IRMiDis Task. SN Computer Science, Springer, vol. 1, No. 61, January 2020. [online version]
[J26] Abhisek Dash, Anurag Shandilya, Arindam Biswas, Kripabandhu Ghosh, Saptarshi Ghosh, Abhijnan Chakraborty. Summarizing User-generated Textual Content: Motivation and Methods for Fairness in Algorithmic Summaries. Proceedings of the ACM on Human-Computer Interaction, ACM, vol. 3, No. CSCW, Article 172, pp. 172:1--172:28, November 2019 [presented at the ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW), Austin, Texas, USA (Core A)] [pdf (arXiv)] [codes + dataset]
[J25] Abhijnan Chakraborty, Saptarshi Ghosh, Niloy Ganguly, Krishna P. Gummadi, Optimizing the Recency-Relevance-Diversity Trade-offs in Non-personalized News Recommendations. Information Retrieval Journal, Springer, vol. 22, issue 5, pp. 447-475, October 2019. [pdf]
[J24] Ritam Dutt, Moumita Basu, Kripabandhu Ghosh, Saptarshi Ghosh. Utilizing Microblogs for Assisting Post-Disaster Relief Operations via Matching Resource Needs and Availabilities. Information Processing and Management, Elsevier, vol. 56, issue 5, pp. 1680--1697, September 2019.[pdf]
[J23] Abhijnan Chakraborty, Saptarshi Ghosh, Niloy Ganguly, Krishna P. Gummadi. Editorial vs. Audience Gatekeeping: Analyzing News Selection and Consumption Dynamics in Online News Media. IEEE Transactions on Computational Social Systems (TCSS), vol. 6, issue 4, pp. 680-691, June 2019. [pdf]
[J22] Moumita Basu, Anurag Shandilya, Prannay Khosla, Kripabandhu Ghosh, Saptarshi Ghosh. Extracting Resource Needs and Availabilities from Microblogs for Aiding Post-Disaster Relief Operations. IEEE Transactions on Computational Social Systems (TCSS), vol. 6, issue 3, pp. 604-618, June 2019. [pdf] [dataset]
[J21] Juhi Kulshrestha, Motahhare Eslami, Johnnatan Messias, Md. Bilal Zafar, Saptarshi Ghosh, Krishna P. Gummadi, K. Karahalios. Search Bias Quantification: Investigating Political bias in Social media and Web search. Information Retrieval Journal, Springer, vol. 22, issue 1-2, pp. 188--227, April 2019. [pdf]
[J20] Tanmoy Chakraborty, Saptarshi Ghosh, Noseong Park. Ensemble-based Overlapping Community Detection using Disjoint Community Structures. Knowledge-Based Systems, Elsevier, vol. 163, pp. 241--251, 2019. [pdf]
[J19] Tamal Mondal, Prithviraj Pramanik, Indrajit Bhattacharya, Naiwrita Boral, Saptarshi Ghosh. Analysis and Early Detection of Rumors in a Post Disaster Scenario. Information Systems Frontiers, Springer, Special Issue on "Exploitation of Social Media for Emergency Relief and Preparedness: Recent Research and Trends", vol. 20, no. 5, pp. 961--979, October 2018. [pdf]
[J18] Koustav Rudra, Niloy Ganguly, Pawan Goyal, Saptarshi Ghosh. Extracting and Summarizing Situational Information from the Twitter Social Media during Disasters. ACM Transactions on the Web (TWEB), vol. 12, issue 3, pp. 17:1--17:35, July 2018. [pdf]
[J17] Soumi Dutta, Vibhash Chandra, Kanav Mehra, Asit Kr. Das, Tanmoy Chakraborty, Saptarshi Ghosh. Ensemble Algorithms for Microblog Summarization. IEEE Intelligent Systems, Special Issue on "Summarization of Things", vol. 33, no. 3, pp. 4--14, May / June 2018. [pdf] [supplementary material pdf] [dataset]
[J16] Koustav Rudra, Ashish Sharma, Niloy Ganguly, Saptarshi Ghosh. Characterizing and Countering Communal Microblogs during Disaster Events. IEEE Transactions on Computational Social Systems (TCSS), vol. 5, issue 2, pp. 403-417, June 2018. [pdf]
[J15] Soumi Dutta, Sujata Ghatak, Ratnadeep Dey, Asit Kr. Das, Saptarshi Ghosh. Attribute Selection for Improving Spam Classification in Online Social Networks: A Rough Set Theory Based Approach. Social Network Analysis and Mining, Springer, vol. 8(7), pp. 1-16, 2018. [pdf]
[J14] Mainack Mondal, Johnnatan Messias, Saptarshi Ghosh, Krishna P. Gummadi, Aniket Kate. Managing Longitudinal Exposure of Socially Shared Data on the Twitter Social Media. International Journal of Advances in Engineering Sciences and Applied Mathematics (Special Issue on Data Sciences), Springer, vol. 9, issue 4, pp. 238-257, December 2017. [pdf]
[J13] Ratnadeep Dey, Anurag Roy, Tanmoy Chakraborty, Saptarshi Ghosh. Sleeping Beauties in Computer Science: Characterization and Early Identification. Scientometrics, Springer, vol. 113, Issue 3, pp. 1645-1663, December 2017. [pdf]
[J12] Rounaq Basu, Aparup Khatua, Arnab Jana, Saptarshi Ghosh. Harnessing Twitter Data for Analyzing Public Reactions to Transportation Policies: Evidences from the Odd-Even Policy in Delhi, India. Proceedings of the Eastern Asia Society For Transportation Studies (EASTS), vol. 11, December 2017 [pdf]
[J11] Moumita Basu, Saptarshi Ghosh, Arnab Jana, Somprakash Bandyopadhyay, Dr. Ravikant Singh. Medical Requirements During a Natural Disaster: A Case Study on WhatsApp Chats among Medical Personnel during the 2015 Nepal Earthquake. Disaster Medicine and Public Health Preparedness, Cambridge University Press, vol. 11(6), pp. 652-655, December 2017. [pdf]
[J10] Mainack Mondal, Johnnatan Messias, Saptarshi Ghosh, Krishna P. Gummadi, Aniket Kate. Longitudinal Privacy Management in Social Media: The Need for Better Controls. IEEE Internet Computing, vol. 21, no. 3 (Special Issue on Usable Privacy & Security), pp. 48-55, May-June 2017. [pdf]
[J9] Moumita Basu, Saptarshi Ghosh, Arnab Jana, Somprakash Bandyopadhyay, Dr. Ravikant Singh. Resource Mapping During a Natural Disaster: A Case Study on the 2015 Nepal Earthquake. International Journal of Disaster Risk Reduction, Elsevier, vol. 24, pp. 24-31, May 2017. [pdf]
[J8] Carlos Freitas, Fabricio Benevenuto, Adriano Veloso, Saptarshi Ghosh. An Empirical Study of Socialbot Infiltration Strategies in the Twitter Social Network. Social Network Analysis and Mining, Springer, vol. 6(23), pp. 1-16, December 2016. [pdf]
[J7] Md. Bilal Zafar, Parantapa Bhattacharya, Niloy Ganguly, Krishna P. Gummadi, Saptarshi Ghosh. Sampling Content from Online Social Networks: Comparing Random vs. Expert Sampling of the Twitter Stream. ACM Transactions on the Web (TWEB), vol. 9, issue 3, pp. 12:1-12:33, June 2015. [pdf]
[J6] Saptarshi Ghosh, Sudipta Saha, Ajitesh Srivastava, Tyll Krueger, Niloy Ganguly, Animesh Mukherjee. Understanding Evolution of Inter-Group Relationships using Bipartite Networks. IEEE Journal on Selected Areas in Communications (JSAC) - Special Issue on Emerging Technologies in Communications, IEEE, vol. 31, issue 9, pp. 584-594, September 2013. [pdf]
[J5] Niloy Ganguly, Saptarshi Ghosh, Tyll Krueger, Ajitesh Srivastava. Degree Distributions of Evolving Alphabetic Bipartite Networks and their Projections. Theoretical Computer Science, Elsevier, vol. 466, pp 20-36, December 2012. [pdf]
[J4] Saptarshi Ghosh, Ajitesh Srivastava, Niloy Ganguly. Effects of a Soft Cut-off on Node-degree in the Twitter Social Network. Computer Communications, Elsevier, vol. 35, issue 7, pp. 784-795, April 2012. [pdf]
[J3] Saptarshi Ghosh, A. Banerjee, Niloy Ganguly. Some Insights on the Recent Spate of Accidents in Indian Railways. Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391, issue 9, pp. 2917-2929, 2012. [Media coverage: The Telegraph, The Deccan Herald, The Hindu] [pdf]
[J2] Naveen Kr. Sharma, Saptarshi Ghosh, Fabricio Benevenuto, Niloy Ganguly, Krishna P. Gummadi. Inferring Who-is-Who in the Twitter Social Network. ACM Computer Communication Review, volume 42, issue 4, pp. 533-538, October 2012. [Selected for being the highest rated paper in the ACM SIGCOMM Workshop on Online Social Networks (WOSN) 2012] [pdf]
[J1] Saptarshi Ghosh, Avishek Banerjee, Naveen Kr. Sharma, Sanket Agarwal, Niloy Ganguly, Saurav Bhattacharya, Animesh Mukherjee. Statistical Analysis of the Indian Railway Network: A Complex Network Approach. Acta Physica Polonica B, vol. 4, No. 2, pp. 123-138, 2011. [pdf]
Refereed workshop / demo papers (reverse chronological order)
[D1] Abhay Banerjee, SoumoKanti Bera, Faizan Ahmed, Sourav Manna, Mayur Mallav Saikia, Moumita Basu, Saptarshi Ghosh. Helping Hands - An AI based Real Time System for Effective Flood Relief Operations in Indian Cities, Proceedings of FIRE 2023 - Annual Meeting of the Forum for Information Retrieval Evaluation, Demo Track, Goa, India, pp. 83--87, December 2023. [online version]
[W14] Aniket Deroy, Kripabandhu Ghosh, Saptarshi Ghosh. How Ready are Pretrained Abstractive Models and LLMs for Legal Case Judgement Summarization?. 3rd International Workshop on Artificial Intelligence and Intelligent Assistance for Legal Professionals in the Digital Workplace (LegalAIIA), co-located with International Conference on Artificial Intelligence and Law (ICAIL), Braga, Portugal, June 2023. [pdf (ArXiv)] [Proceedings on CEUR, volume 3423, pp. 8 - 19]
[W13] Amitrajit Bose, Sivangi Tandon, Moumita Basu, Saptarshi Ghosh. Social Media for Post-Disaster Relief: Mapping Needs and Availabilities to UNOCHA Resource Classes. ACM ICDCN Workshop on Emergency Response Technologies and Services, 2022. [pdf]
[W11] Shalmoli Ghosh, Janardan Misra, Saptarshi Ghosh, Sanjay Podder. Utilizing Social Media for Identifying Drug Addiction and Recovery Intervention. Workshop on Data Analytics for Smart Health (DASH) co-located with IEEE International Conference on Big Data, Virtual Event, USA, pp. 3413-3422, December 2020. [pdf] [dataset]
[W10] Anurag Shandilya, Abhisek Dash, Abhijnan Chakraborty, Kripabandhu Ghosh, Saptarshi Ghosh. Fairness for Whom? Understanding the Reader's Perception of Fairness in Text Summarization. Workshop on Fair and Interpretable Learning Algorithms (FILA) co-located with IEEE International Conference on Big Data, Virtual Event, USA, pp. 3692-3701, December 2020. [pdf (ArXiv)]
[W9] Kaustubh Hiware, Ritam Dutt, Sayan Sinha, Sohan Patro, Kripabandhu Ghosh, Saptarshi Ghosh. NARMADA: Need and Available Resource Managing Assistant for Disasters and Adversities. ACL Workshop on Natural Language Processing for Social Media (SocialNLP), Virtual Event, pp. 15-24, July 2020. [pdf] [system + codes]
[W8] Paheli Bhattacharya, Kripabandhu Ghosh, Arindam Pal, Saptarshi Ghosh. Methods for Computing Legal Document Similarity: A Comparative Study. Workshop on Legal Data Analysis, co-located with JURIX 2019, Madrid, Spain, December 2019. [pdf (arXiv)]
[W7] Divyank Barnwal, Siddharth Ghelani, Rohit Krishna, Moumita Basu, Saptarshi Ghosh. Identifying Fact-Checkable Microblogs during Disasters: A Classification-Ranking Approach. ACM ICDCN Workshop on Emergency Response Technologies and Services, Bengaluru, India, pp. 389-392, 2019. [pdf]
[W6] Prannay Khosla, Moumita Basu, Kripabandhu Ghosh, Saptarshi Ghosh. Microblog Retrieval for Post-Disaster Relief: Applying and Comparing Neural IR Models. ACM SIGIR Workshop on Neural Information Retrieval, Tokyo, Japan, August 2017. [pdf]
[W5] Abhijnan Chakraborty, Muhammad Ali, Saptarshi Ghosh, Niloy Ganguly, Krishna P. Gummadi. On Quantifying Knowledge Segregation in Society. FATREC Workshop on Responsible Recommendation (co-located with ACM Recommender Systems conference), Como, Italy, August 2017. [pdf] [Link to workshop]
[W4] Moumita Basu, Anurag Roy, Kripabandhu Ghosh, Somprakash Bandyopadhyay, Saptarshi Ghosh. Microblog Retrieval in a Disaster Situation: A New Test Collection for Evaluation. ECIR Workshop on Exploitation of Social Media for Emergency Relief and Preparedness (SMERP), Aberdeen, Scotland, pp. 22-31, April 2017. [pdf]
[W3] Abhijnan Chakraborty, Saptarshi Ghosh, Niloy Ganguly, Krishna P. Gummadi. Can Trending News Stories Create Coverage Bias? On the Impact of High Content Churn in Online News Media. Computation + Journalism Symposium (C+J), New York, USA, October 2015. [pdf] [Link to symposium]
[W2] Anirban Sen, Koustav Rudra, Saptarshi Ghosh. Extracting Situational Awareness from Microblogs during Disaster Events. Social Networking Workshop in conjunction with International Conference on Communication Systems & Networks (COMSNETS), Bangalore, India, Jan 2015. [pdf]
[W1] Saptarshi Ghosh, Gautam Korlam, Niloy Ganguly. The Effects of Restrictions on Number of Connections in OSNs: A Case-Study on Twitter. Workshop on Online Social Networks (WOSN), Boston, USA, June, 2010. [pdf]
Posters / Extended Abstracts (reverse chronological order)
[P7] Anurag Shandilya, Kripabandhu Ghosh, Saptarshi Ghosh. Fairness of Extractive Text Summarization. WWW: The Web Conference, Lyon, France, pp. 97-98, April 2018. [pdf]
[P6] Moumita Basu, Anurag Shandilya, Kripabandhu Ghosh, Saptarshi Ghosh. Automatic Matching of Resource Needs and Availabilities in Microblogs for Post-Disaster Relief. WWW: The Web Conference, Lyon, France, pp. 25-26, April 2018. [pdf]
[P5] Anurag Roy, Kripabandhu Ghosh, Moumita Basu, Parth Gupta, Saptarshi Ghosh. Retrieving Information from Multiple Sources. WWW: The Web Conference, Lyon, France, pp. 43-44, April 2018. [pdf]
[P4] Juhi Kulshrestha, Muhammad Bilal Zafar, Saptarshi Ghosh, Krishna P. Gummadi. Evaluating Social Recommendation Systems: A Case-study on Twitter's Personalised Suggestions. ACM Conference on Online Social Networks (COSN), Dublin, Ireland, October 2014. [pdf]
[P3] Saptarshi Ghosh, Sanket Agarwal, Himanshu Srivastava, Animesh Mukherjee. Run-time Delays in Indian Railways: is Traffic the Cause?. ACM Symposium on Computing for Development (DEV), Bangalore, India, January 2013. [pdf]
[P2] Saptarshi Ghosh, Pushkar Kane, Niloy Ganguly. Identifying Overlapping Communities in Folksonomies or Tripartite Hypergraphs. World Wide Web Conference (WWW), Hyderabad, India, pp. 39-40, 2011. [pdf]
[P1] Saptarshi Ghosh, Gautam Korlam, Niloy Ganguly. Spammers' Networks within Online Social Networks: A Case-Study on Twitter, World Wide Web Conference (WWW), Hyderabad, India, pp. 41-42, 2011. [pdf]
Books & Edited Volumes (reverse chronological order)
[B1] Soumi Dutta, Asit Kumar Das, Saptarshi Ghosh, Debabrata Samanta. Data Analytics for Social Microblogging Platforms. Academic Press, Elsevier (ISBN: 9780323917858), 2022. [online edition]
[EV1] Saptarshi Ghosh, Kripabandhu Ghosh, Debasis Ganguly, Tanmoy Chakraborty, Gareth Jones, Marie-Francine Moens, Muhammad Imran. Special Issue of Information Systems Frontiers (Springer) on "Exploitation of Social Media for Emergency Relief and Preparedness: Recent Research and Trends", volume 20, issue 5, October 2018. [online edition] [Editorial: pdf]
Book chapters (reverse chronological order)
[BC9] Aniket Deroy, Naksatra Kumar Bailung, Kripabandhu Ghosh, Saptarshi Ghosh, Abhijnan Chakraborty. Artificial Intelligence (AI) in Legal Data Mining. Technology and Analytics for Law & Justice, OakBridge Publishing, pp. 273--298, 2023 (ISBN: 978-939-5764-68-1)
[BC8] Moumita Basu, Saptarshi Ghosh. Role of Microblogs in Relief Operations During Disasters. International Handbook of Disaster Research. Springer, pp. 1--12, 2022. [online version]
[BC7] Soham Poddar, Mainack Mondal, Saptarshi Ghosh, Arnab Jana. A Survey on Disaster: Understanding the After-Effects of Super-Cyclone Amphan, the Helping Hand of Social Media. Advances in Urban Design and Engineering, Springer, pp. 157--197, 2022. [online version]
[BC6] Moumita Basu, Arnab Jana, Saptarshi Ghosh. Utilizing Online Social Media for Coordinating Post-disaster Relief in Indian Cities. Advances in Urban Planning in Developing Nations: Data Analytics and Technology, Routledge India (Taylor and Francis), pp. 199--210, 2021 (ebook ISBN: 978-100-3091-37-0) [online version]
[BC5] Meeyoung Cha, Fabricio Benevenuto, Saptarshi Ghosh, Krishna P. Gummadi. Propagation Phenomena in Social Media. The Oxford Handbook of Networked Communication, Oxford University Press (Editors: Brooke Foucault Welles, Sandra González-Bailón), 2019 (ISBN: 978-019-0460-51-8) [online version]
[BC4] Moumita Basu, Kripabandhu Ghosh, Somenath Das, Somprakash Bandyopadhyay, Saptarshi Ghosh. Microblog Retrieval during Disasters: Comparative Evaluation of IR Methodologies. FIRE 2016: Text Processing, Springer International Publishing, LNCS Volume 10478 (Editors: P. Majumder et al.), pp. 20--38, 2018. [online version]
[BC3] Koustav Rudra, Abhijnan Chakraborty, Niloy Ganguly, Saptarshi Ghosh. Understanding the Usage of Idioms in the Twitter Social Network. Pattern Recognition and Big Data, World Scientific, pp. 767--788, 2017 (Editors: Amita Pal, Sankar K Pal) (ISBN: 978-981-3144-54-5). [online version]
[BC2] Saptarshi Ghosh, Niloy Ganguly. Structure and Evolution of Online Social Networks. Social Networking: Mining, Visualization and Security, Intelligent Systems Reference Library, Springer, volume 65, pp. 23--44, 2014 (Editors: M. Panda, S. Dehuri, G. Wan) (ISBN: 978-3-319-05164-2). [online version]
[BC1] Abhijnan Chakraborty, Saptarshi Ghosh. Clustering Hypergraphs for Discovery of Overlapping Communities in Folksonomies. Dynamics on and of Complex Networks Volume 2: Applications to Time-varying Dynamical Systems, Birkhauser, Springer, pp. 201--220, 2013 (Editors: A. Mukherjee, M. Choudhury, F. Peruani, N. Ganguly, B. Mitra) (ISBN: 978-1-4614-6728-1). [online version]
Thesis
Saptarshi Ghosh. Online Social Networks: Evolution and Search. Doctoral Thesis, Indian Institute of Technology, Kharagpur, 2013. (Supervisor: Professor Niloy Ganguly) [pdf]
Non-refereed publications (reverse chronological order)
[NR15] Soham Poddar, Moumita Basu, Kripabandhu Ghosh, Saptarshi Ghosh. Overview of the FIRE 2023 Track: Artificial Intelligence on Social Media (AISoMe). Proceedings of FIRE 2023 - Annual Meeting of the Forum for Information Retrieval Evaluation, Goa, India, pp. 1--3, December 2023. [online version]
[NR14] Sayan Mahapatra, Debtanu Datta, Shubham Soni, Adrijit Goswami, Saptarshi Ghosh. Improving Access to Justice for the Indian Population: A Benchmark for Evaluating Translation of Legal Text to Indian Languages. [pdf (axXiv)]
[NR13] Saptarshi Ghosh et al., Report on the 2nd Symposium on Artificial Intelligence and Law (SAIL) 2022. ACM SIGIR Forum Newsletter, Volume 56, number 1, June 2022. [online pdf]
[NR12] Moumita Basu, Soham Poddar, Kripabandhu Ghosh, Saptarshi Ghosh. Overview of the FIRE 2021 track: Information Retrieval from Microblogs during Disasters (IRMiDis). Proceedings of FIRE 2021 - Annual Meeting of the Forum for Information Retrieval Evaluation, pp. 22--24, Virtual Event, December 2021. [pdf]
[NR11] Vedant Parikh, Upal Bhattacharya, Parth Mehta, Ayan Bandyopadhyay, Paheli Bhattacharya, Kripabandhu Ghosh, Saptarshi Ghosh, Arindam Pal, Arnab Bhattacharya, Prasenjit Majumder. AILA 2021: Shared task on Artificial Intelligence for Legal Assistance. Proceedings of FIRE 2021 - Annual Meeting of the Forum for Information Retrieval Evaluation, pp. 12--15, Virtual Event, December 2021. [pdf]
[NR10] Paheli Bhattacharya, Parth Mehta, Kripabandhu Ghosh, Saptarshi Ghosh, Arindam Pal, Arnab Bhattacharya, Prasenjit Majumder. FIRE 2020 AILA Track: Artificial Intelligence for Legal Assistance. Proceedings of FIRE 2020 - Annual Meeting of the Forum for Information Retrieval Evaluation, pp. 1-3, Virtual Event, December 2020. [pdf]
[NR9] Paheli Bhattacharya, Kripabandhu Ghosh, Saptarshi Ghosh, Arindam Pal, Parth Mehta, Arnab Bhattacharya, Prasenjit Majumder. Overview of the FIRE 2019 AILA track: Artificial Intelligence for Legal Assistance. Working Notes of FIRE 2019 - Annual Meeting of the Forum for Information Retrieval Evaluation, CEUR Workshop Proceedings, vol. 2517, pp. 1-12, Kolkata, India, December 2019. [pdf]
[NR8] Moumita Basu, Arnab Jana, Saptarshi Ghosh. Utilising Online Social Media for Coordinating Post-Disaster Relief in Indian Cities. World Congress on Disaster Management, Mumbai, India, January 2019. [pdf]
[NR7] Saptarshi Ghosh, Kripabandhu Ghosh, Debasis Ganguly, Tanmoy Chakraborty, Gareth J. F. Jones, Marie-Francine Moens. Report on the Second Workshop on Exploitation of Social Media for Emergency Relief and Preparedness (SMERP 2018) at the Web Conference (WWW) 2018. ACM SIGIR Forum Newsletter, Volume 52, number 2, pp. 163-168, December 2018. [pdf]
[NR6] Moumita Basu, Saptarshi Ghosh, Kripabandhu Ghosh. Overview of the FIRE 2018 track: Information Retrieval from Microblogs during Disasters (IRMiDis). Working Notes of FIRE 2018 - Annual Meeting of the Forum for Information Retrieval Evaluation, CEUR Workshop Proceedings, vol. 2266, pp. 1-10, Gandhinagar, India, December 2018. [pdf]
[NR5] Marie-Francine Moens, Gareth J. F. Jones, Saptarshi Ghosh, Debasis Ganguly, Tanmoy Chakraborty, Kripabandhu Ghosh. WWW'18 Workshop on Exploitation of Social Media for Emergency Relief and Preparedness: Chairs' Welcome & Organization. Companion Proceedings of WWW: The Web Conference 2018, pp. 1609-1611, April 2018. [pdf]
[NR4] Arpan Mandal, Kripabandhu Ghosh, Arnab Bhattacharya, Arindam Pal, Saptarshi Ghosh. Overview of the FIRE 2017 IRLeD Track: Information Retrieval from Legal Documents. Working notes of FIRE 2017 - Annual Meeting of the Forum for Information Retrieval Evaluation, CEUR workshop proceedings, vol. 2036, pp. 63-68, Bangalore, India, December 2017. [pdf]
[NR3] Moumita Basu, Saptarshi Ghosh, Kripabandhu Ghosh, Monojit Choudhury. Overview of the FIRE 2017 track: Information Retrieval from Microblogs during Disasters (IRMiDis). Working notes of FIRE 2017 - Annual Meeting of the Forum for Information Retrieval Evaluation, CEUR workshop proceedings, vol, 2036, pp. 28-33, Bangalore, India, December 2017. [pdf]
[NR2] Saptarshi Ghosh. Kripabandhu Ghosh, Debasis Ganguly, Tanmoy Chakraborty, Gareth J. F. Jones, Marie-Francine Moens. ECIR 2017 Workshop on Exploitation of Social Media for Emergency Relief and Preparedness (SMERP 2017). ACM SIGIR Forum Newsletter, Volume 51, Issue 1, pp. 36-41, June 2017.
[NR1] Kripabandhu Ghosh, Saptarshi Ghosh. Overview of the FIRE 2016 Microblog track: Information Extraction from Microblogs Posted during Disasters. Working notes of FIRE 2016 - Annual Meeting of the Forum for Information Retrieval Evaluation, CEUR workshop proceedings, vol. 1737, pp. 56-61, Kolkata, India, December 2016. [pdf]