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A deep neural network model for coreference resolution in geological domain

  • Published:2023-05 Issue:3 Volume:60 Page:103268
  • ISSN:0306-4573
  • Container-title:Information Processing & Management
  • language:en
  • Short-container-title:Information Processing & Management

Author:

Wan Bo,Dong Shuai,Chu DepingORCID,Li Hong,Liu Yiyang,Fu Jinming,Fang Fang,Li Shengwen,Zhou Dan

Funder

National Key Research and Development Program of China

U.S. Geological Survey

China University of Geosciences

Publisher

Elsevier BV

Subject

Library and Information Sciences,Management Science and Operations Research,Computer Science Applications,Media Technology,Information Systems

Reference58 articles.

1. Rewarding coreference resolvers for being consistent with world knowledge;Aralikatte,2019

2. Understanding the value of features for coreference resolution;Bengtson,2008

3. An ensemble model for classifying idioms and literal texts using BERT and RoBERTa;Briskilal;Information Processing and Management,2022

4. Poly-co: A multilayer perceptron approach for coreference detection;Charton,2011

5. A Comprehensive Survey on Various Fully Automatic Machine Translation Evaluation Metrics;Chauhan;Neural Processing Letters,2022
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