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Ajay Nagesh
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Findings of the 2021 conference on machine translation (WMT21)
A Farhad, A Arkady, B Magdalena, B Ondřej, C Rajen, C Vishrav, ...
Proceedings of the Sixth Conference on Machine Translation, 1-88, 2021
1642021
Findings of the IWSLT 2020 evaluation campaign
E Ansari, A Axelrod, N Bach, O Bojar, R Cattoni, F Dalvi, N Durrani, ...
Proceedings of the 17th International Conference on Spoken Language …, 2020
1272020
Parallel corpus filtering via pre-trained language models
B Zhang, A Nagesh, K Knight
arXiv preprint arXiv:2005.06166, 2020
302020
Eidos, INDRA, & Delphi: from free text to executable causal models
R Sharp, A Pyarelal, B Gyori, K Alcock, E Laparra, ...
Proceedings of the 2019 conference of the north American chapter of the …, 2019
282019
Wisdom of students: A consistent automatic short answer grading technique
S Roy, S Dandapat, A Nagesh, Y Narahari
Proceedings of the 13th International Conference on Natural Language …, 2016
262016
Lightly-supervised representation learning with global interpretability
A Zupon, M Alexeeva, M Valenzuela-Escárcega, A Nagesh, M Surdeanu
Proceedings of the third workshop on structured prediction for NLP, 18-28, 2019
172019
Towards Efficient Named-Entity Rule Induction for Customizability
A Nagesh, G Ramakrishnan, L Chiticariu, R Krishnamurthy, A Dharkar, ...
EMNLP 57, 88.95, 2012
172012
Exploration of noise strategies in semi-supervised named entity classification
PL Narayan
The University of Arizona, 2019
152019
Noisy or-based model for relation extraction using distant supervision
A Nagesh, G Haffari, G Ramakrishnan
Proceedings of the 2014 Conference on Empirical Methods in Natural Language …, 2014
142014
Semi-supervised teacher-student architecture for relation extraction
F Luo, A Nagesh, R Sharp, M Surdeanu
Proceedings of the third workshop on structured prediction for NLP, 29-37, 2019
102019
Lightly-supervised Representation Learning with Global Interpretability
MA Valenzuela-Escárcega, A Nagesh, M Surdeanu
https://arxiv.org/abs/1805.11545, 2018
102018
Extracting Multilingual Relations under Limited Resources: TAC 2016 Cold-Start KB construction and Slot-Filling using Compositional Universal Schema.
HS Chang, A Munir, A Liu, JTZ Wei, A Traylor, A Nagesh, N Monath, ...
TAC, 2016
102016
Evaluation of hindi to english, marathi to english and english to hindi clir at fire 2008
N Padariya, M Chinnakotla, A Nagesh, OP Damani
Working Notes of Forum for Information Retrieval and Evaluation (FIRE), 2008
9*2008
Visual supervision in bootstrapped information extraction
M Berger, A Nagesh, J Levine, M Surdeanu, H Zhang
Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018
82018
Keep your bearings: Lightly-supervised Information Extraction with Ladder Networks that avoids Semantic Drift
A Nagesh, M Surdeanu
Conference of the North American Chapter of the Association for …, 2018
72018
Grounding gradable adjectives through crowdsourcing
R Sharp, M Paul, A Nagesh, D Bell, M Surdeanu
Proceedings of the Eleventh International Conference on Language Resources …, 2018
72018
An Exploration of Three Lightly-supervised Representation Learning Approaches for Named Entity Classification
A Nagesh, M Surdeanu
The 27th International Conference on Computational Linguistics (COLING 2018), 2018
52018
MeetDot: Videoconferencing with live translation captions
A Arkhangorodsky, C Chu, S Fang, Y Huang, D Jiang, A Nagesh, B Zhang, ...
arXiv preprint arXiv:2109.09577, 2021
42021
Probing the space of optimal markov logic networks for sequence labeling
N Nair, A Nagesh, G Ramakrishnan
International Conference on Inductive Logic Programming, 193-208, 2012
42012
Call for discussion: Building a new standard dataset for relation extraction tasks
MT Martín-Valdivia, F Botschen, A Nagesh, A McCallum
Proceedings of the 5th Workshop on Automated Knowledge Base Construction, 92-96, 2016
32016
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