Work

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

Year: 2018

Type: conference-paper

Abstract: This is a repository copy of Using linguistic features to improve the generalization capability of neural coreference resolvers.

Source: Conference on Empirical Methods in Natural Language Processing (EMNLP)

DOI: 10.18653/v1/d18-1018

Authors: Nafise Sadat Moosavi, Michael Strube

Institution: Heidelberg Institute for Theoretical Studies

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funders: Deutsche Forschungsgemeinschaft, Klaus Tschira Stiftung

Awards: G3424576390, G481299621

OpenAlex ID: W2894706950

FWCI: 1.352

Cites: 41

Cited by: 19

Related to: 10