Ajay Nagesh

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 22

Top Topics

Machine Translation

Sequence Labeling

Relation Extraction

Top Venues

SPNLP@NAACL-HLT

Publications

Jinghan Jia, Abi Komma, Timothy Leffel, Xujun Peng, Ajay Nagesh, Tamer Soliman, Aram Galstyan, Anoop Kumar
Leveraging LLMs for Dialogue Quality Measurement. CoRR (2024)
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
Findings of the 2021 Conference on Machine Translation (WMT21). WMT@EMNLP (2021)
Arkady Arkhangorodsky, Christopher Chu, Scot Fang, Yiqi Huang, Denglin Jiang, Ajay Nagesh, Boliang Zhang, Kevin Knight
MeetDot: Videoconferencing with Live Translation Captions. EMNLP (Demos) (2021)
Arkady Arkhangorodsky, Christopher Chu, Scot Fang, Yiqi Huang, Denglin Jiang, Ajay Nagesh, Boliang Zhang, Kevin Knight
MeetDot: Videoconferencing with Live Translation Captions. CoRR (2021)
Arkady Arkhangorodsky, Scot Fang, Victoria Knight, Ajay Nagesh, Maria Ryskina, Kevin Knight
Two Approaches to Building Collaborative, Task-Oriented Dialog Agents through Self-Play. CoRR (2021)
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 H. Waibel, Changhan Wang
FINDINGS OF THE IWSLT 2020 EVALUATION CAMPAIGN. IWSLT (2020)
Arkady Arkhangorodsky, Amittai Axelrod, Christopher Chu, Scot Fang, Yiqi Huang, Ajay Nagesh, Xing Shi, Boliang Zhang, Kevin Knight
MEEP: An Open-Source Platform for Human-Human Dialog Collection and End-to-End Agent Training. CoRR (2020)
Boliang Zhang, Ajay Nagesh, Kevin Knight
Parallel Corpus Filtering via Pre-trained Language Models. ACL (2020)
Boliang Zhang, Ajay Nagesh, Kevin Knight
Parallel Corpus Filtering via Pre-trained Language Models. CoRR (2020)
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
Eidos, INDRA, & Delphi: From Free Text to Executable Causal Models. NAACL-HLT (Demonstrations) (2019)
Pooja Lakshmi Narayan, Ajay Nagesh, Mihai Surdeanu
Exploration of Noise Strategies in Semi-supervised Named Entity Classification. *SEM@NAACL-HLT (2019)
Andrew Zupon, Maria Alexeeva, Marco Antonio Valenzuela-Escárcega, Ajay Nagesh, Mihai Surdeanu
Lightly-supervised Representation Learning with Global Interpretability. SPNLP@NAACL-HLT (2019)
Fan Luo, Ajay Nagesh, Rebecca Sharp, Mihai Surdeanu
Semi-Supervised Teacher-Student Architecture for Relation Extraction. SPNLP@NAACL-HLT (2019)
Matthew Berger, Ajay Nagesh, Joshua A. Levine, Mihai Surdeanu, Helen Zhang
Visual Supervision in Bootstrapped Information Extraction. EMNLP (2018)
Ajay Nagesh, Mihai Surdeanu
Keep Your Bearings: Lightly-Supervised Information Extraction with Ladder Networks That Avoids Semantic Drift. NAACL-HLT (2) (2018)
Rebecca Sharp, Mithun Paul, Ajay Nagesh, Dane Bell, Mihai Surdeanu
Grounding Gradable Adjectives through Crowdsourcing. LREC (2018)
Marco Antonio Valenzuela-Escárcega, Ajay Nagesh, Mihai Surdeanu
Lightly-supervised Representation Learning with Global Interpretability. CoRR (2018)
Ajay Nagesh, Mihai Surdeanu
An Exploration of Three Lightly-supervised Representation Learning Approaches for Named Entity Classification. COLING (2018)
Naveen Nair, Ajay Nagesh, Ganesh Ramakrishnan
Learning Discriminative Relational Features for Sequence Labeling. CoRR (2017)
Teresa Martin, Fiete Botschen, Ajay Nagesh, Andrew McCallum
Call for Discussion: Building a New Standard Dataset for Relation Extraction Tasks. AKBC@NAACL-HLT (2016)
Shourya Roy, Sandipan Dandapat, Ajay Nagesh, Yadati Narahari
Wisdom of Students: A Consistent Automatic Short Answer Grading Technique. ICON (2016)
Haw-Shiuan Chang, Abdurrahman Munir, Ao Liu, Johnny 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 (2016)
Ajay Nagesh
Exploring Relational Features and Learning under Distant Supervision for Information Extraction Tasks. HLT-NAACL (2015)
Gholamreza Haffari, Ajay Nagesh, Ganesh Ramakrishnan
Optimizing Multivariate Performance Measures for Learning Relation Extraction Models. HLT-NAACL (2015)
Ajay Nagesh, Gholamreza Haffari, Ganesh Ramakrishnan
Noisy Or-based model for Relation Extraction using Distant Supervision. EMNLP (2014)
Ajay Nagesh, Naveen Nair, Ganesh Ramakrishnan
Comparison between Explicit Learning and Implicit Modeling of Relational Features in Structured Output Spaces. ILP (Late Breaking Papers) (2013)
Naveen Nair, Ajay Nagesh, Ganesh Ramakrishnan
Probing the Space of Optimal Markov Logic Networks for Sequence Labeling. ILP (2012)
Ajay Nagesh, Ganesh Ramakrishnan, Laura Chiticariu, Rajasekar Krishnamurthy, Ankush Dharkar, Pushpak Bhattacharyya
Towards Efficient Named-Entity Rule Induction for Customizability. EMNLP-CoNLL (2012)