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Ajay Nagesh
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2020 – today
- 2024
- [c21]Jinghan Jia, Abi Komma, Timothy Leffel, Xujun Peng, Ajay Nagesh, Tamer Soliman, Aram Galstyan, Anoop Kumar:
Leveraging LLMs for Dialogue Quality Measurement. NAACL (Industry Track) 2024: 359-367 - [i8]Jinghan Jia, Abi Komma, Timothy Leffel, Xujun Peng, Ajay Nagesh, Tamer Soliman, Aram Galstyan, Anoop Kumar:
Leveraging LLMs for Dialogue Quality Measurement. CoRR abs/2406.17304 (2024) - 2021
- [c20]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: 195-202 - [c19]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: 1-88 - [i7]Arkady Arkhangorodsky, Christopher Chu, Scot Fang, Yiqi Huang, Denglin Jiang, Ajay Nagesh, Boliang Zhang, Kevin Knight:
MeetDot: Videoconferencing with Live Translation Captions. CoRR abs/2109.09577 (2021) - [i6]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 abs/2109.09597 (2021) - 2020
- [c18]Boliang Zhang, Ajay Nagesh, Kevin Knight:
Parallel Corpus Filtering via Pre-trained Language Models. ACL 2020: 8545-8554 - [c17]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:
FINDINGS OF THE IWSLT 2020 EVALUATION CAMPAIGN. IWSLT 2020: 1-34 - [i5]Boliang Zhang, Ajay Nagesh, Kevin Knight:
Parallel Corpus Filtering via Pre-trained Language Models. CoRR abs/2005.06166 (2020) - [i4]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 abs/2010.04747 (2020)
2010 – 2019
- 2019
- [c16]Andrew Zupon, Maria Alexeeva, Marco Antonio Valenzuela-Escárcega, Ajay Nagesh, Mihai Surdeanu:
Lightly-supervised Representation Learning with Global Interpretability. SPNLP@NAACL-HLT 2019: 18-28 - [c15]Fan Luo, Ajay Nagesh, Rebecca Sharp, Mihai Surdeanu:
Semi-Supervised Teacher-Student Architecture for Relation Extraction. SPNLP@NAACL-HLT 2019: 29-37 - [c14]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: 42-47 - [c13]Pooja Lakshmi Narayan, Ajay Nagesh, Mihai Surdeanu:
Exploration of Noise Strategies in Semi-supervised Named Entity Classification. *SEM@NAACL-HLT 2019: 186-191 - 2018
- [c12]Ajay Nagesh, Mihai Surdeanu:
An Exploration of Three Lightly-supervised Representation Learning Approaches for Named Entity Classification. COLING 2018: 2312-2324 - [c11]Matthew Berger, Ajay Nagesh, Joshua A. Levine, Mihai Surdeanu, Helen Zhang:
Visual Supervision in Bootstrapped Information Extraction. EMNLP 2018: 2043-2053 - [c10]Rebecca Sharp, Mithun Paul, Ajay Nagesh, Dane Bell, Mihai Surdeanu:
Grounding Gradable Adjectives through Crowdsourcing. LREC 2018 - [c9]Ajay Nagesh, Mihai Surdeanu:
Keep Your Bearings: Lightly-Supervised Information Extraction with Ladder Networks That Avoids Semantic Drift. NAACL-HLT (2) 2018: 352-358 - [i3]Marco Antonio Valenzuela-Escárcega, Ajay Nagesh, Mihai Surdeanu:
Lightly-supervised Representation Learning with Global Interpretability. CoRR abs/1805.11545 (2018) - 2017
- [i2]Naveen Nair, Ajay Nagesh, Ganesh Ramakrishnan:
Learning Discriminative Relational Features for Sequence Labeling. CoRR abs/1705.02562 (2017) - 2016
- [c8]Teresa Martin, Fiete Botschen, Ajay Nagesh, Andrew McCallum:
Call for Discussion: Building a New Standard Dataset for Relation Extraction Tasks. AKBC@NAACL-HLT 2016: 92-96 - [c7]Shourya Roy, Sandipan Dandapat, Ajay Nagesh, Yadati Narahari:
Wisdom of Students: A Consistent Automatic Short Answer Grading Technique. ICON 2016: 178-187 - [i1]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 - 2015
- [c6]Ajay Nagesh:
Exploring Relational Features and Learning under Distant Supervision for Information Extraction Tasks. HLT-NAACL 2015: 40-47 - [c5]Gholamreza Haffari, Ajay Nagesh, Ganesh Ramakrishnan:
Optimizing Multivariate Performance Measures for Learning Relation Extraction Models. HLT-NAACL 2015: 892-900 - 2014
- [c4]Ajay Nagesh, Gholamreza Haffari, Ganesh Ramakrishnan:
Noisy Or-based model for Relation Extraction using Distant Supervision. EMNLP 2014: 1937-1941 - 2013
- [c3]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: 29-39 - 2012
- [c2]Ajay Nagesh, Ganesh Ramakrishnan, Laura Chiticariu, Rajasekar Krishnamurthy, Ankush Dharkar, Pushpak Bhattacharyya:
Towards Efficient Named-Entity Rule Induction for Customizability. EMNLP-CoNLL 2012: 128-138 - [c1]Naveen Nair, Ajay Nagesh, Ganesh Ramakrishnan:
Probing the Space of Optimal Markov Logic Networks for Sequence Labeling. ILP 2012: 193-208
Coauthor Index
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last updated on 2024-10-17 21:30 CEST by the dblp team
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