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Attending to Entities for Better Text Understanding

Attending to Entities for Better Text Understanding

Pengxiang Cheng
K. Erk
    LRM
ArXiv (abs)PDFHTML

Papers citing "Attending to Entities for Better Text Understanding"

5 / 5 papers shown
Title
Type-supervised sequence labeling based on the heterogeneous star graph for named entity recognition
Type-supervised sequence labeling based on the heterogeneous star graph for named entity recognition
Xueru Wen
Changjiang Zhou
Haotian Tang
Luguang Liang
Yu-Gang Jiang
Hong Qi
64
2
0
19 Oct 2022
When a sentence does not introduce a discourse entity, Transformer-based models still sometimes refer to it
When a sentence does not introduce a discourse entity, Transformer-based models still sometimes refer to it
Sebastian Schuster
Tal Linzen
77
25
0
06 May 2022
Coreferential Reasoning Learning for Language Representation
Coreferential Reasoning Learning for Language Representation
Deming Ye
Yankai Lin
Jiaju Du
Zhenghao Liu
Peng Li
Maosong Sun
Zhiyuan Liu
87
179
0
15 Apr 2020
Neural Abstractive Text Summarization and Fake News Detection
Neural Abstractive Text Summarization and Fake News Detection
S. Esmaeilzadeh
Gao Xian Peh
Angela Xu
48
25
0
24 Mar 2019
A Survey on Deep Learning for Named Entity Recognition
A Survey on Deep Learning for Named Entity Recognition
Junlin Li
Aixin Sun
Jianglei Han
Chenliang Li
3DV
110
1,173
0
22 Dec 2018

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