[Google Scholar]

Conference Publications

1. Jinghan Jia, Abi Komma, Timothy Leffel, Xujun Peng, Ajay Nagesh, Tamer Soliman, Aram Galstyan, Anoop Kumar. "Leveraging LLMs for dialogue quality measurement".  Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) 2024.

2. Arkady Arkhangorodsky, Christopher Chu, Scot Fang, Yiqi Huang, Denglin Jiang, Ajay Nagesh, Boliang Zhang, Kevin Knight "MeetDot: Videoconferencing with Live Translation Captions". Empirical Methods in Natural Language Processing (EMNLP) 2021. [code] [demo]

3. A Arkhangorodsky, S Fang, V Knight, A Nagesh, M Ryskina, K Knight. "Two Approaches to Building Collaborative, Task-Oriented Dialog Agents through Self-Play".   arXiv:2109.09597, 2021.

4. A Arkhangorodsky, A Axelrod, C Chu, S Fang, Y Huang, A Nagesh, X Shi, B Zhang, K Knight. "MEEP: An Open-Source Platform for Human-Human Dialog Collection and End-to-End Agent Training". arXiv:2010.04747, 2020.  [code]

5. Boliang Zhang, Ajay Nagesh, Kevin Knight. "Parallel Corpus Filtering via Pre-trained Language Models". Association for Computational Linguistics (ACL) 2020.

6. Pooja Lakshmi Narayan, Ajay Nagesh, Mihai Surdeanu. "Exploration of Noise Strategies in Semi-supervised Named Entity Classification". The Eighth Joint Conference on Lexical and Computational Semantics (*SEM), Minneapolis, USA. 2019.

7. Rebecca Sharp, Adarsh Pyarelal, Benjamin Gyori, Keith Alcock, Egoitz Laparra, Marco A. Valenzuela-Escárcega, Ajay Nagesh, Vikas Yadav, John Bachman, Zheng Tang, Heather Lent, Fan Luo, Mithun Paul, Steven Bethard, Kobus Barnard, Clayton Morrison and Mihai Surdeanu. "Eidos & Delphi: From Free Text to Executable Causal Models". In the Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL-HLT) [System demonstrations Track], Minneapolis, USA. 2019.  

8. Matthew Berger, Ajay Nagesh, Joshua Levine, Mihai Surdeanu and Helen Zhang. "Visual Supervision in Bootstrapped Information Extraction". The Conference on Empirical Methods in Natural Language Processing (EMNLP), Brussels, Belgium. 2018. 

9. Ajay Nagesh and Mihai Surdeanu. "An Exploration of Three Lightly-supervised Representation Learning Approaches for Information Extraction". The 27th International Conference on Computational Linguistics (COLING), Santa Fe, USA. 2018  [code] [paper] [slides] [bib]

10. Ajay Nagesh and Mihai Surdeanu. "Keep Your Bearings: Lightly-Supervised Information Extraction with Ladder Networks That Avoids Semantic Drift". In the Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL-HLT), New Orleans, USA, 2018. [code] [poster] [talk]

11. Rebecca Sharp, Ajay Nagesh, Dane Bell and Mihai Surdeanu. "Grounding Gradable Adjectives through Crowd-sourcing". The International Conference on Language Resources and Evaluation (LREC), Miyazaki, Japan. 2018.   [code]

12. Shourya Roy, Sandipan Dandapat, Ajay Nagesh, and Y. Narahari. "Wisdom of Students: A Consistent Automatic Short Answer Grading Technique.", In the 13th Intl. Conference on Natural Language Processing (ICON), Varanasi, India, 2016

13. Gholamreza Haffari, Ajay Nagesh and Ganesh Ramakrishnan. “Optimizing Multivariate Performance Measures for Learning Relation Extraction Models.” In the Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL-HLT), Denver, USA, 2015.   [code] [slides] [talk] 

14. Ajay Nagesh, Gholamreza Haffari and Ganesh Ramakrishnan. “Noisy Or-based Model for Relation Extraction using Distant Supervision.” In the Conference on Empirical Methods in Natural Language Processing (EMNLP), Doha, Qatar, 2014.  [poster]

15. Ajay Nagesh, Ganesh Ramakrishnan, Laura Chiticariu, Rajasekar Krishnamurthy, Ankush Dharkar and Pushpak Bhattacharyya. “Towards Efficient Named-entity Rule Induction for Customizability.” In the Conference on Empirical Methods in Natural Language Processing and Natural Language Learning (EMNLP-CoNLL), Jeju, Korea, 2012.  [slides] 

16. Ajay Nagesh, Naveen Nair and Ganesh Ramakrishnan. “Comparison between Explicit Learning and Implicit Modeling of Relational Features in Structured Output Spaces”. In the 23rd International Conference on Inductive Logic Programming (ILP), Rio de Janeiro, Brazil, 2013.

17. Naveen Nair, Ajay Nagesh and Ganesh Ramakrishnan. “Probing the Space of Optimal Markov Logic Networks for Sequence Labeling.” In the 22nd International Conference on Inductive Logic Programming (ILP), Dubrovnik, Croatia, 2012.

Workshop Publications

1. Fan Luo, Ajay Nagesh, Rebecca Sharp and Mihai Surdeanu. "Semi-Supervised Teacher-Student Architecture for Relation Extraction". Workshop on Structured Prediction for Natural Language Processing (SPNLP), Minneapolis, USA. 2019.

2. Haw Shiuan Chang, M Abdurrahman, Ao Liu, J Tian-Zheng Wei, Aaron Traylor, Ajay Nagesh, Nicholas Monath, Patrick Verga, Emma Strubell, Andrew McCallum. "Extracting Multilingual Relations under Limited Resources: TAC 2016 Cold-Start KB construction and Slot-Filling using Compositional Universal Schema." TAC-KBP, 2016.

3. Teresa Martin, Fiete Botschen, Ajay Nagesh  and Andrew McCallum. "Call for Discussion: Building a New Standard Dataset for Relation Extraction Tasks." AKBC, 2016.

4. Ajay Nagesh. “Exploring Relational Features and Learning under Distant Supervision for Information Extraction Tasks.” NAACL Student Research Workshop, collocated with the Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL-HLT), Denver, USA, 2015.   [poster]

5. Nilesh Padariya, Manoj Chinnakotla, Ajay Nagesh, Om P. Damani. "Evaluation of Hindi to English, Marathi to English and English to Hindi CLIR at FIRE 2008."  Working Notes of Forum for Information Retrieval and Evaluation (FIRE), 2008.

Pre-prints

• Marco A. Valenzuela-Escarcega, Ajay Nagesh, and Mihai Surdeanu. "Lightly-supervised Representation Learning with Global Interpretability"  

• Naveen Nair, Ajay Nagesh, Ganesh Ramakrishnan. "Learning Discriminative Relational Features for Sequence Labeling"

Invited Talk

• Exploring Relational Features and Learning under Distant Supervision for Information Extraction Tasks. In the 9th Inter-Research-Institute Student Seminar in Computer Science (IRISS 2015), collocated with ACM India Annual Event, Goa, India, 2015.   [slides]

Ph.D. Thesis

Ajay Nagesh. Exploring Relational Features and Learning under Distant Supervision for Information Extraction Tasks. PhD thesis, IIT Bombay - Monash University. 2015.  [slides] [link] [Recipient of Special Mention in the Doctoral Dissertation Award by Xerox Research Centre India] 

Master's Thesis

Ajay Nagesh. Empirical Studies in Hindi to English Cross-Language Information Retrieval. Master's thesis. IIT Bombay. 2008.