Using linguistic features to improve generalization in neural coreference resolvers
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BiBTeXSEEK ID: https://publications.h-its.org/publications/401
Research Groups: Natural Language Processing
Publication type: InProceedings
Book Title: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, 31 October – 4 November 2018
Citation: In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, 31 October – 4 November 2018, pp. 193-203
Date Published: 2018
Registered Mode: imported from a bibtex file
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Created: 7th Sep 2019 at 12:17
Last updated: 5th Mar 2024 at 21:23
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Research Groups: Natural Language Processing
Institutions: Heidelberg Institute for Theoretical Studies
Research Groups: Scientific Databases and Visualisation, Astroinformatics, Data Mining and Uncertainty Quantification, Groups and Geometry, Natural Language Processing, Computational Molecular Evolution, Computational Carbon Chemistry, Physics of Stellar Objects, Playground, Molecular and Cellular Modeling, Stellar Evolution Theory, SIMPLAIX
Institutions: Heidelberg Institute for Theoretical Studies
Public web page: Not specified
