Ajay Nagesh

According to our database, Ajay Nagesh authored at least 26 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Leveraging LLMs for Dialogue Quality Measurement.

Jinghan Jia, Abi Komma, Timothy Leffel, Xujun Peng, Ajay Nagesh, Tamer Soliman, Aram Galstyan, Anoop Kumar

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2024

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

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, Roman Grundkiewicz, Barry Haddow, Leonie Harter, Kenneth Heafield, Christopher Homan, Matthias Huck, Kwabena Amponsah-Kaakyire, Jungo Kasai, Daniel Khashabi, Kevin Knight, Tom Kocmi, Philipp Koehn, Nicholas Lourie, Christof Monz, Makoto Morishita, Masaaki Nagata, Ajay Nagesh, Toshiaki Nakazawa, Matteo Negri, Santanu Pal, Allahsera Auguste Tapo, Marco Turchi, Valentin Vydrin, Marcos Zampieri

Proceedings of the Sixth Conference on Machine Translation, 2021

MeetDot: Videoconferencing with Live Translation Captions.

Arkady Arkhangorodsky, Christopher Chu, Scot Fang, Yiqi Huang, Denglin Jiang, Ajay Nagesh, Boliang Zhang, Kevin Knight

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2021

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

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, Kevin Knight, Xutai Ma, Ajay Nagesh, Matteo Negri, Jan Niehues, Juan Miguel Pino, Elizabeth Salesky, Xing Shi, Sebastian Stüker, Marco Turchi, Alexander Waibel, Changhan Wang

Proceedings of the 17th International Conference on Spoken Language Translation, 2020

Parallel Corpus Filtering via Pre-trained Language Models.

Boliang Zhang, Ajay Nagesh, Kevin Knight

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Exploration of Noise Strategies in Semi-supervised Named Entity Classification.

Pooja Lakshmi Narayan, Ajay Nagesh, Mihai Surdeanu

Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics, 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, Mithun Paul, Steven Bethard, Kobus Barnard, Clayton T. Morrison, Mihai Surdeanu

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Lightly-supervised Representation Learning with Global Interpretability.

Andrew Zupon, Maria Alexeeva, Marco Antonio Valenzuela-Escárcega, Ajay Nagesh, Mihai Surdeanu

Proceedings of the Third Workshop on Structured Prediction for NLP@NAACL-HLT 2019, 2019

Semi-Supervised Teacher-Student Architecture for Relation Extraction.

Fan Luo, Ajay Nagesh, Rebecca Sharp, Mihai Surdeanu

Proceedings of the Third Workshop on Structured Prediction for NLP@NAACL-HLT 2019, 2019

2018

Lightly-supervised Representation Learning with Global Interpretability.

Marco Antonio Valenzuela-Escárcega, Ajay Nagesh, Mihai Surdeanu

CoRR, 2018

Keep Your Bearings: Lightly-Supervised Information Extraction with Ladder Networks That Avoids Semantic Drift.

Ajay Nagesh, Mihai Surdeanu

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Grounding Gradable Adjectives through Crowdsourcing.

Rebecca Sharp, Mithun Paul, Ajay Nagesh, Dane Bell, Mihai Surdeanu

Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Visual Supervision in Bootstrapped Information Extraction.

Matthew Berger, Ajay Nagesh, Joshua A. Levine, Mihai Surdeanu, Helen Zhang

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

An Exploration of Three Lightly-supervised Representation Learning Approaches for Named Entity Classification.

Ajay Nagesh, Mihai Surdeanu

Proceedings of the 27th International Conference on Computational Linguistics, 2018

2017

Learning Discriminative Relational Features for Sequence Labeling.

Naveen Nair, Ajay Nagesh, Ganesh Ramakrishnan

CoRR, 2017

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, Johnny Tian-Zheng Wei, Aaron Traylor, Ajay Nagesh, Nicholas Monath, Patrick Verga, Emma Strubell, Andrew McCallum

Proceedings of the 2016 Text Analysis Conference, 2016

Wisdom of Students: A Consistent Automatic Short Answer Grading Technique.

Shourya Roy, Sandipan Dandapat, Ajay Nagesh, Yadati Narahari

Proceedings of the 13th International Conference on Natural Language Processing, 2016

Call for Discussion: Building a New Standard Dataset for Relation Extraction Tasks.

Teresa Martin, Fiete Botschen, Ajay Nagesh, Andrew McCallum

Proceedings of the 5th Workshop on Automated Knowledge Base Construction, 2016

2015

Exploring Relational Features and Learning under Distant Supervision for Information Extraction Tasks.

Ajay Nagesh

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Optimizing Multivariate Performance Measures for Learning Relation Extraction Models.

Gholamreza Haffari, Ajay Nagesh, Ganesh Ramakrishnan

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

2014

Noisy Or-based model for Relation Extraction using Distant Supervision.

Ajay Nagesh, Gholamreza Haffari, Ganesh Ramakrishnan

Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

2013

Comparison between Explicit Learning and Implicit Modeling of Relational Features in Structured Output Spaces.

Ajay Nagesh, Naveen Nair, Ganesh Ramakrishnan

Proceedings of the Late Breaking Papers of the 23rd International Conference on Inductive Logic Programming, Rio de Janeiro, Brazil, August 28th - to, 2013

2012

Probing the Space of Optimal Markov Logic Networks for Sequence Labeling.

Naveen Nair, Ajay Nagesh, Ganesh Ramakrishnan

Proceedings of the Inductive Logic Programming - 22nd International Conference, 2012

Towards Efficient Named-Entity Rule Induction for Customizability.

Ajay Nagesh, Ganesh Ramakrishnan, Laura Chiticariu, Rajasekar Krishnamurthy, Ankush Dharkar, Pushpak Bhattacharyya

Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012