Nafise Sadat Moosavi

Dr. phil. Nafise Sadat Moosavi

Postdoctoral researcher

+49 6151 16-21677
+49 6151 16-25295

Hochschulstraße 10
64289 Darmstadt

Office: S2|02 B106

Publications

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Gruppiere nach: Publikationsjahr | Typ des Eintrags | Keine Gruppierung
Springe zu: 2020 | 2019 | 2018 | 2017 | 2016
Anzahl der Einträge: 16.

2020

Yu, Juntao ; Moosavi, Nafise Sadat ; Paun, Silviu ; Poesio, Massimo (2020):
Free the Plural: Unrestricted Split-Antecedent Anaphora Resolution.
In: Proceedings of the 28th International Conference on Computational Linguistics, S. 6113-6125,
International Committee on Computational Linguistics, 28th International Conference on Computational Linguistics, virtual Conference, 08.- 13.12.2020, ISBN 978-1-952148-27-9,
[Konferenzveröffentlichung]

Moosavi, Nafise Sadat ; Fan, Angela ; Shwartz, Vered ; Glavaš, Goran ; Joty, Shafiq ; Wang, Alex ; Wolf, Thomas (Hrsg.) (2020):
Proceedings of SustaiNLP: Workshop on Simple and Efficient Natural Language Processing.
Association for Computational Linguistics, 1st Workshop on Simple and Efficient Natural Language Processing within EMNLP 2020, virtual Conference, 16.-20.11., ISBN 9781952148774,
[Konferenzveröffentlichung]

Wu, Mingzhu ; Moosavi, Nafise Sadat ; Rücklé, Andreas ; Gurevych, Iryna (2020):
Improving QA Generalization by Concurrent Modeling of Multiple Biases.
In: Findings of the Association for Computational Linguistics: EMNLP 2020, S. 839-853,
Association for Computational Linguistics, Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), virtual Conference, 16.-20.11., DOI: 10.18653/v1/2020.findings-emnlp.74,
[Konferenzveröffentlichung]

Utama, Prasetya ; Moosavi, Nafise Sadat ; Gurevych, Iryna (2020):
Towards Debiasing NLU Models from Unknown Biases.
S. 7597-7610, Association for Computational Linguistics, The 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), virtual Conference, 16.-20.11., [Konferenzveröffentlichung]

Utama, Prasetya ; Moosavi, Nafise Sadat ; Gurevych, Iryna (2020):
Mind the Trade-off: Debiasing NLU Models without Degrading the In-distribution Performance.
S. 8717-8729, The 58th annual meeting of the Association for Computational Linguistics (ACL 2020), virtual Conference, 05.-10.07.2020, [Konferenzveröffentlichung]

2019

Moosavi, Nafise Sadat ; Utama, Prasetya ; Rücklé, Andreas ; Gurevych, Iryna (2019):
Improving Generalization by Incorporating Coverage in Natural Language Inference.
In: arXiv preprint arXiv:1909.08940, [Artikel]

Rücklé, Andreas ; Moosavi, Nafise Sadat ; Gurevych, Iryna (2019):
Neural Duplicate Question Detection without Labeled Training Data.
S. 1607-1617, The 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP 2019), Hong Kong, China, 03.11.2019--07.11.2019, [Konferenzveröffentlichung]

Moosavi, Nafise Sadat ; Born, Leo ; Poesio, Massimo ; Strube, Michael (2019):
Using Automatically Extracted Minimum Spans to Disentangle Coreference Evaluation from Boundary Detection.
S. 4168-4178, The 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), Florence, Italy, 28.07.2019-02.08.2019, [Konferenzveröffentlichung]

Rücklé, Andreas ; Moosavi, Nafise Sadat ; Gurevych, Iryna (2019):
COALA: A Neural Coverage-Based Approach for Long Answer Selection with Small Data.
In: Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), S. 6932-6939,
Honolulu, Hawaii, USA, Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), Honolulu, Hawaii, USA, DOI: 10.1609/aaai.v33i01.33016932,
[Konferenzveröffentlichung]

2018

Moosavi, Nafise Sadat ; Strube, Michael (2018):
Using Linguistic Features to Improve the Generalization Capability of Neural Coreference Resolvers.
In: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, S. 193-203,
The 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, 31.10.2018--04.11.2018, [Konferenzveröffentlichung]

Poesio, Massimo ; Grishina, Yulia ; Kolhatkar, Varada ; Moosavi, Nafise Sadat ; Roesiger, Ina ; Roussel, Adam ; Simonjetz, Fabian ; Uma, Alexandra ; Uryupina, Olga ; Yu, Juntao ; Zinsmeister, Heike (2018):
Anaphora Resolution with the ARRAU Corpus.
S. 11-22, Association for Computational Linguistics, Proceedings of the First Workshop on Computational Models of Reference, Anaphora and Coreference, [Konferenzveröffentlichung]

2017

Heinzerling, Benjamin ; Moosavi, Nafise Sadat ; Strube, Michael (2017):
Revisiting Selectional Preferences for Coreference Resolution.
In: Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing,
[Konferenzveröffentlichung]

Moosavi, Nafise Sadat ; Strube, Michael (2017):
Lexical Features in Coreference Resolution: To be Used With Caution.
S. 14-19, Association for Computational Linguistics, Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), DOI: 10.18653/v1/P17-2003,
[Konferenzveröffentlichung]

Moosavi, Nafise Sadat ; Strube, Michael (2017):
Use Generalized Representations, But Do Not Forget Surface Features.
S. 1-7, Association for Computational Linguistics, Proceedings of the 2nd Workshop on Coreference Resolution Beyond OntoNotes (CORBON 2017), Valencia, 4. April 2017, [Konferenzveröffentlichung]

2016

Moosavi, Nafise Sadat ; Strube, Michael (2016):
Which Coreference Evaluation Metric Do You Trust? A Proposal for a Link-based Entity Aware Metric.
S. 632-642, Association for Computational Linguistics, Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Berlin, 7.-12. August 2016, DOI: 10.18653/v1/P16-1060,
[Konferenzveröffentlichung]

Moosavi, Nafise Sadat ; Strube, Michael (2016):
Search Space Pruning: A Simple Solution for Better Coreference Resolvers.
S. 1005-1011, Association for Computational Linguistics, Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, San Diego, 12.-17. Juni 2016, DOI: 10.18653/v1/N16-1115,
[Konferenzveröffentlichung]

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