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Jointly Learning to Label Sentences and Tokens

Jointly Learning to Label Sentences and Tokens

14 November 2018
Marek Rei
Anders Søgaard
    AI4TS
ArXivPDFHTML

Papers citing "Jointly Learning to Label Sentences and Tokens"

6 / 6 papers shown
Title
MNER-QG: An End-to-End MRC framework for Multimodal Named Entity
  Recognition with Query Grounding
MNER-QG: An End-to-End MRC framework for Multimodal Named Entity Recognition with Query Grounding
Meihuizi Jia
Lei Shen
Xin Shen
L. Liao
Meng Chen
Xiaodong He
Zhen-Heng Chen
Jiaqi Li
40
41
0
27 Nov 2022
Supervising Model Attention with Human Explanations for Robust Natural
  Language Inference
Supervising Model Attention with Human Explanations for Robust Natural Language Inference
Joe Stacey
Yonatan Belinkov
Marek Rei
30
45
0
16 Apr 2021
Structural Information Preserving for Graph-to-Text Generation
Structural Information Preserving for Graph-to-Text Generation
Linfeng Song
Ante Wang
Jinsong Su
Yue Zhang
Kun Xu
Yubin Ge
Dong Yu
22
52
0
12 Feb 2021
Detecting Local Insights from Global Labels: Supervised & Zero-Shot
  Sequence Labeling via a Convolutional Decomposition
Detecting Local Insights from Global Labels: Supervised & Zero-Shot Sequence Labeling via a Convolutional Decomposition
A. Schmaltz
19
8
0
04 Jun 2019
Linguistic Knowledge and Transferability of Contextual Representations
Linguistic Knowledge and Transferability of Contextual Representations
Nelson F. Liu
Matt Gardner
Yonatan Belinkov
Matthew E. Peters
Noah A. Smith
52
718
0
21 Mar 2019
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
255
13,364
0
25 Aug 2014
1