Nafise Sadat Moosavi
Nafise Sadat Moosavi
Verified email at ukp.informatik.tu-darmstadt.de
Title
Cited by
Cited by
Year
Which coreference evaluation metric do you trust? a proposal for a link-based entity aware metric
NS Moosavi, M Strube
Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016
562016
Lexical features in coreference resolution: To be used with caution
NS Moosavi, M Strube
Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017
252017
Anaphora Resolution with the ARRAU Corpus
M Poesio, Y Grishina, V Kolhatkar, NS Moosavi, I Roeziger, A Roussel, ...
Proceedings of the First Workshop on Computational Models of Reference …, 2018
212018
Tcvisor: A hypervisor level secure storage
M Rezaei, NS Moosavi, H Nemati, R Azmi
2010 International Conference for Internet Technology and Secured …, 2010
122010
Coala: A neural coverage-based approach for long answer selection with small data
A Rücklé, NS Moosavi, I Gurevych
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 6932-6939, 2019
112019
Using linguistic features to improve the generalization capability of neural coreference resolvers
NS Moosavi, M Strube
arXiv preprint arXiv:1708.00160, 2017
92017
A ranking approach to Persian pronoun resolution
NS Moosavi, G Ghassem-Sani
Advances in Computational Linguistics. Research in Computing Science 41, 169-180, 2009
92009
Revisiting Selectional Preferences for Coreference Resolution
B Heinzerling, NS Moosavi, M Strube
Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017
72017
Search space pruning: A simple solution for better coreference resolvers
NS Moosavi, M Strube
Proceedings of the 2016 Conference of the North American Chapter of the …, 2016
72016
Mind the trade-off: Debiasing NLU models without degrading the in-distribution performance
PA Utama, NS Moosavi, I Gurevych
arXiv preprint arXiv:2005.00315, 2020
62020
Neural duplicate question detection without labeled training data
A Rücklé, NS Moosavi, I Gurevych
arXiv preprint arXiv:1911.05594, 2019
52019
Unsupervised coreference resolution by utilizing the most informative relations
NS Moosavi, M Strube
Proceedings of COLING 2014, the 25th International Conference on …, 2014
52014
Improving QA generalization by concurrent modeling of multiple biases
M Wu, NS Moosavi, A Rücklé, I Gurevych
arXiv preprint arXiv:2010.03338, 2020
32020
Use generalized representations, but do not forget surface features
NS Moosavi, M Strube
arXiv preprint arXiv:1702.07507, 2017
32017
Towards debiasing NLU models from unknown biases
PA Utama, NS Moosavi, I Gurevych
arXiv preprint arXiv:2009.12303, 2020
22020
Improving generalization by incorporating coverage in natural language inference
NS Moosavi, PA Utama, A Rücklé, I Gurevych
arXiv preprint arXiv:1909.08940, 2019
22019
Using automatically extracted minimum spans to disentangle coreference evaluation from boundary detection
NS Moosavi, L Born, M Poesio, M Strube
arXiv preprint arXiv:1906.06703, 2019
22019
Robustness in Coreference Resolution
NS Moosavi
12020
Unsupervised Coreference Resolution Using a Graph Labeling Approach
NS Moosavi, GR GhassemSani
Language and Technology Conference, 93-103, 2011
12011
Coreference Reasoning in Machine Reading Comprehension
M Wu, NS Moosavi, D Roth, I Gurevych
arXiv preprint arXiv:2012.15573, 2020
2020
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