Articles with public access mandates - Mihai SurdeanuLearn more
Available somewhere: 45
Joint entity and event coreference resolution across documents
H Lee, M Recasens, A Chang, M Surdeanu, D Jurafsky
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural …, 2012
Mandates: Government of Spain
Large-scale automated machine reading discovers new cancer-driving mechanisms
MA Valenzuela-Escárcega, Ö Babur, G Hahn-Powell, D Bell, T Hicks, ...
Database 2018, bay098, 2018
Mandates: US Department of Defense
Selectional preferences for semantic role classification
B Zapirain, E Agirre, L Marquez, M Surdeanu
Computational Linguistics 39 (3), 631-663, 2013
Mandates: Government of Spain
Alignment over heterogeneous embeddings for question answering
V Yadav, S Bethard, M Surdeanu
Proceedings of the 2019 Conference of the North American Chapter of the …, 2019
Mandates: US Department of Defense
Detecting cyber threats in non-english dark net markets: A cross-lingual transfer learning approach
M Ebrahimi, M Surdeanu, S Samtani, H Chen
2018 IEEE International Conference on Intelligence and Security Informatics …, 2018
Mandates: US National Science Foundation
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
Mandates: US National Science Foundation, Bill & Melinda Gates Foundation, US …
Low resource causal event detection from biomedical literature
Z Liang, E Noriega-Atala, C Morrison, M Surdeanu
Proceedings of the 21st Workshop on Biomedical Language Processing, 252-263, 2022
Mandates: US Department of Defense
Cheap and good? simple and effective data augmentation for low resource machine reading
H Van, V Yadav, M Surdeanu
Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021
Mandates: US Department of Defense
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
Mandates: Bill & Melinda Gates Foundation, US Department of Defense
Parsing as tagging
R Vacareanu, GCG Barbosa, MA Valenzuela-Escárcega, M Surdeanu
Proceedings of the Twelfth Language Resources and Evaluation Conference …, 2020
Mandates: Bill & Melinda Gates Foundation
Diamonds in the rough: Event extraction from imperfect microblog data
A Intxaurrondo, E Agirre, OL De Lacalle, M Surdeanu
Proceedings of the 2015 Conference of the North American Chapter of the …, 2015
Mandates: Government of Spain
Exploring interpretability in event extraction: Multitask learning of a neural event classifier and an explanation decoder
Z Tang, G Hahn-Powell, M Surdeanu
Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020
Mandates: US Department of Defense
Tell me why: Using question answering as distant supervision for answer justification
R Sharp, M Surdeanu, P Jansen, MA Valenzuela-Escárcega, P Clark, ...
Proceedings of the 21st Conference on Computational Natural Language …, 2017
Mandates: US Department of Defense
If you want to go far go together: unsupervised joint candidate evidence retrieval for multi-hop question answering
V Yadav, S Bethard, M Surdeanu
Proceedings of the 2021 conference of the North American chapter of the …, 2021
Mandates: US Department of Defense
University of arizona at semeval-2019 task 12: Deep-affix named entity recognition of geolocation entities
V Yadav, E Laparra, TT Wang, M Surdeanu, S Bethard
Proceedings of the 13th International Workshop on Semantic Evaluation, 1319-1323, 2019
Mandates: US Department of Defense
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
Mandates: Bill & Melinda Gates Foundation, US Department of Defense
Swanson linking revisited: Accelerating literature-based discovery across domains using a conceptual influence graph
G Hahn-Powell, MA Valenzuela-Escárcega, M Surdeanu
Proceedings of ACL 2017, System Demonstrations, 103-108, 2017
Mandates: Bill & Melinda Gates Foundation, US Department of Defense
It takes two flints to make a fire: Multitask learning of neural relation and explanation classifiers
Z Tang, M Surdeanu
Computational Linguistics 49 (1), 117-156, 2023
Mandates: US National Science Foundation, US Department of Defense
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
Mandates: US National Science Foundation, Bill & Melinda Gates Foundation
Information Extraction from Legal Wills: How Well Does GPT-4 Do?
A Kwak, C Jeong, G Forte, D Bambauer, C Morrison, M Surdeanu
Findings of the Association for Computational Linguistics: EMNLP 2023, 4336-4353, 2023
Mandates: US National Science Foundation
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