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What do you learn from context? Probing for sentence structure in
  contextualized word representations

What do you learn from context? Probing for sentence structure in contextualized word representations

International Conference on Learning Representations (ICLR), 2019
15 May 2019
Ian Tenney
Patrick Xia
Berlin Chen
Alex Jinpeng Wang
Adam Poliak
R. Thomas McCoy
Najoung Kim
Benjamin Van Durme
Samuel R. Bowman
Dipanjan Das
Ellie Pavlick
ArXiv (abs)PDFHTML

Papers citing "What do you learn from context? Probing for sentence structure in contextualized word representations"

5 / 555 papers shown
Title
LINSPECTOR: Multilingual Probing Tasks for Word Representations
LINSPECTOR: Multilingual Probing Tasks for Word RepresentationsInternational Conference on Computational Logic (ICCL), 2019
Gözde Gül Sahin
Clara Vania
Ilia Kuznetsov
Iryna Gurevych
162
45
0
22 Mar 2019
Linguistic Knowledge and Transferability of Contextual Representations
Linguistic Knowledge and Transferability of Contextual RepresentationsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2019
Nelson F. Liu
Matt Gardner
Yonatan Belinkov
Matthew E. Peters
Noah A. Smith
736
783
0
21 Mar 2019
Still a Pain in the Neck: Evaluating Text Representations on Lexical
  Composition
Still a Pain in the Neck: Evaluating Text Representations on Lexical CompositionTransactions of the Association for Computational Linguistics (TACL), 2019
Vered Shwartz
Ido Dagan
CoGe
187
86
0
27 Feb 2019
An Argument-Marker Model for Syntax-Agnostic Proto-Role Labeling
An Argument-Marker Model for Syntax-Agnostic Proto-Role Labeling
Juri Opitz
Anette Frank
143
7
0
04 Feb 2019
Predicting the Argumenthood of English Prepositional Phrases
Predicting the Argumenthood of English Prepositional Phrases
Najoung Kim
Kyle Rawlins
Benjamin Van Durme
P. Smolensky
194
6
0
20 Sep 2018
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