Towards Efficient Named-Entity Rule Induction for Customizability. - Ajay Nagesh; Ganesh Ramakrishnan; Laura Chiticariu; Rajasekar Krishnamurthy; Ankush Dharkar; Pushpak Bhattacharyya (EMNLP-CoNLL, 2012)

Probing the Space of Optimal Markov Logic Networks for Sequence Labeling. - Naveen Nair; Ajay Nagesh; Ganesh Ramakrishnan (ILP, 2012)

Comparison between Explicit Learning and Implicit Modeling of Relational Features in Structured Output Spaces. - Ajay Nagesh; Naveen Nair; Ganesh Ramakrishnan (ILP (Late Breaking Papers), 2013)

Noisy Or-based model for Relation Extraction using Distant Supervision. - Ajay Nagesh; Gholamreza Haffari; Ganesh Ramakrishnan (EMNLP, 2014)

Optimizing Multivariate Performance Measures for Learning Relation Extraction Models. - Gholamreza Haffari; Ajay Nagesh; Ganesh Ramakrishnan (HLT-NAACL, 2015)

Exploring Relational Features and Learning under Distant Supervision for Information Extraction Tasks. - Ajay Nagesh (HLT-NAACL, 2015)

Call for Discussion: Building a New Standard Dataset for Relation Extraction Tasks. - Teresa Martin; Fiete Botschen; Ajay Nagesh; Andrew McCallum (AKBC@NAACL-HLT, 2016)

Wisdom of Students: A Consistent Automatic Short Answer Grading Technique. - Shourya Roy; Sandipan Dandapat; Ajay Nagesh; Yadati Narahari (ICON, 2016)

Extracting Multilingual Relations under Limited Resources: TAC 2016 Cold-Start KB construction and Slot-Filling using Compositional Universal Schema. - Haw-Shiuan Chang; Abdurrahman Munir; Ao Liu 003; Johnny Tian-Zheng Wei; Aaron Traylor; Ajay Nagesh; Nicholas Monath; Patrick Verga; Emma Strubell; Andrew McCallum (TAC, 2016)

Learning Discriminative Relational Features for Sequence Labeling. - Naveen Nair; Ajay Nagesh; Ganesh Ramakrishnan (CoRR, 2017)

An Exploration of Three Lightly-supervised Representation Learning Approaches for Named Entity Classification. - Ajay Nagesh; Mihai Surdeanu (COLING, 2018)

Visual Supervision in Bootstrapped Information Extraction. - Matthew Berger; Ajay Nagesh; Joshua A. Levine; Mihai Surdeanu; Helen Zhang (EMNLP, 2018)

Grounding Gradable Adjectives through Crowdsourcing. - Rebecca Sharp; Mithun Paul; Ajay Nagesh; Dane Bell; Mihai Surdeanu (LREC, 2018)

Keep Your Bearings: Lightly-Supervised Information Extraction with Ladder Networks That Avoids Semantic Drift. - Ajay Nagesh; Mihai Surdeanu (NAACL-HLT (2), 2018)

Lightly-supervised Representation Learning with Global Interpretability. - Marco Antonio Valenzuela-Escárcega; Ajay Nagesh; Mihai Surdeanu (CoRR, 2018)

Semi-Supervised Teacher-Student Architecture for Relation Extraction. - Fan Luo; Ajay Nagesh; Rebecca Sharp; Mihai Surdeanu (SPNLP@NAACL-HLT, 2019)

Lightly-supervised Representation Learning with Global Interpretability. - Andrew Zupon; Maria Alexeeva; Marco Antonio Valenzuela-Escárcega; Ajay Nagesh; Mihai Surdeanu (SPNLP@NAACL-HLT, 2019)

Eidos, INDRA, & Delphi: From Free Text to Executable Causal Models. - Rebecca Sharp; Adarsh Pyarelal; Benjamin M. Gyori; Keith Alcock; Egoitz Laparra; Marco Antonio Valenzuela-Escárcega; Ajay Nagesh; Vikas Yadav; John A. Bachman; Zheng Tang; Heather C. Lent; Fan Luo; et al. (NAACL-HLT (Demonstrations), 2019)

Exploration of Noise Strategies in Semi-supervised Named Entity Classification. - Pooja Lakshmi Narayan; Ajay Nagesh; Mihai Surdeanu (*SEM@NAACL-HLT, 2019)

Parallel Corpus Filtering via Pre-trained Language Models. - Boliang Zhang; Ajay Nagesh; Kevin Knight (ACL, 2020)

FINDINGS OF THE IWSLT 2020 EVALUATION CAMPAIGN. - Ebrahim Ansari; Amittai Axelrod; Nguyen Bach; Ondrej Bojar; Roldano Cattoni; Fahim Dalvi; Nadir Durrani; Marcello Federico; Christian Federmann; Jiatao Gu; Fei Huang 002; Kevin Knight; et al. (IWSLT, 2020)

MEEP: An Open-Source Platform for Human-Human Dialog Collection and End-to-End Agent Training. - Arkady Arkhangorodsky; Amittai Axelrod; Christopher Chu; Scot Fang; Yiqi Huang; Ajay Nagesh; Xing Shi; Boliang Zhang; Kevin Knight (CoRR, 2020)

MeetDot: Videoconferencing with Live Translation Captions. - Arkady Arkhangorodsky; Christopher Chu; Scot Fang; Yiqi Huang; Denglin Jiang; Ajay Nagesh; Boliang Zhang; Kevin Knight (EMNLP (Demos), 2021)

Findings of the 2021 Conference on Machine Translation (WMT21). - Farhad Akhbardeh; Arkady Arkhangorodsky; Magdalena Biesialska; Ondrej Bojar; Rajen Chatterjee; Vishrav Chaudhary; Marta R. Costa-jussà; Cristina España-Bonet; Angela Fan; Christian Federmann; Markus Freitag; Yvette Graham; et al. (WMT@EMNLP, 2021)

Two Approaches to Building Collaborative, Task-Oriented Dialog Agents through Self-Play. - Arkady Arkhangorodsky; Scot Fang; Victoria Knight; Ajay Nagesh; Maria Ryskina; Kevin Knight (CoRR, 2021)

Leveraging LLMs for Dialogue Quality Measurement. - Jinghan Jia; Abi Komma; Timothy Leffel; Xujun Peng; Ajay Nagesh; Tamer Soliman; Aram Galstyan; Anoop Kumar (NAACL (Industry Track), 2024)