A deep neural network model for speakers coreference resolution in legal texts-Reference-Cited by-同舟云学术

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A deep neural network model for speakers coreference resolution in legal texts

Published:2020-11 Issue:6 Volume:57 Page:102365
ISSN:0306-4573
Container-title:Information Processing & Management
language:en
Short-container-title:Information Processing & Management

Author:

Ji Donghong,Gao Jun,Fei Hao,Teng Chong,Ren Yafeng

Funder

National Natural Science Foundation of China

Research Foundation of Ministry of Education of China

Publisher

Elsevier BV

Subject

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

Reference65 articles.

1. Binary and multitask classification model for dutch anaphora resolution: Die/dat prediction;Allein;CoRR,2020

2. Neural machine translation by jointly learning to align and translate;Bahdanau,2015

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

4. Legal NERC with ontologies, wikipedia and curriculum learning;Cardellino,2017

5. A low-cost, high-coverage legal named entity recognizer, classifier and linker;Cardellino,2017

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