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Using Linguistic Features to Improve the Generalization Capability of Neural Coreference Resolvers

Moosavi, Nafise Sadat and 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, In: The 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, 31.10.2018--04.11.2018, [Online-Edition: http://aclweb.org/anthology/D18-1018],
[Conference or Workshop Item]

Item Type: Conference or Workshop Item
Erschienen: 2018
Creators: Moosavi, Nafise Sadat and Strube, Michael
Title: Using Linguistic Features to Improve the Generalization Capability of Neural Coreference Resolvers
Language: English
Title of Book: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Ubiquitous Knowledge Processing
DFG-Graduiertenkollegs
DFG-Graduiertenkollegs > Research Training Group 1994 Adaptive Preparation of Information from Heterogeneous Sources
Event Title: The 2018 Conference on Empirical Methods in Natural Language Processing
Event Location: Brussels, Belgium
Event Dates: 31.10.2018--04.11.2018
Date Deposited: 13 Aug 2018 11:44
Official URL: http://aclweb.org/anthology/D18-1018
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