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Does BERT agree? Evaluating knowledge of structure dependence through
  agreement relations

Does BERT agree? Evaluating knowledge of structure dependence through agreement relations

26 August 2019
Geoff Bacon
T. Regier
ArXiv (abs)PDFHTML

Papers citing "Does BERT agree? Evaluating knowledge of structure dependence through agreement relations"

13 / 13 papers shown
Assessing Linguistic Generalisation in Language Models: A Dataset for
  Brazilian Portuguese
Assessing Linguistic Generalisation in Language Models: A Dataset for Brazilian PortugueseLanguage Resources and Evaluation (LRE), 2023
Rodrigo Wilkens
Leonardo Zilio
Aline Villavicencio
313
1
0
23 May 2023
Few-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer in
  Prompt Tuning
Few-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer in Prompt TuningConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Kaige Xie
Tong Yu
Haoliang Wang
Junda Wu
Handong Zhao
Ruiyi Zhang
K. Mahadik
A. Nenkova
Mark O. Riedl
350
4
0
20 May 2023
Language Model Behavior: A Comprehensive Survey
Language Model Behavior: A Comprehensive SurveyInternational Conference on Computational Logic (ICCL), 2023
Tyler A. Chang
Benjamin Bergen
VLMLRMLM&MA
501
154
0
20 Mar 2023
"No, they did not": Dialogue response dynamics in pre-trained language
  models
"No, they did not": Dialogue response dynamics in pre-trained language modelsInternational Conference on Computational Linguistics (COLING), 2022
Sanghee Kim
Lang-Chi Yu
Allyson Ettinger
200
1
0
05 Oct 2022
Does BERT really agree ? Fine-grained Analysis of Lexical Dependence on
  a Syntactic Task
Does BERT really agree ? Fine-grained Analysis of Lexical Dependence on a Syntactic TaskFindings (Findings), 2022
Karim Lasri
Alessandro Lenci
Thierry Poibeau
211
14
0
14 Apr 2022
Recent Advances in Natural Language Processing via Large Pre-Trained
  Language Models: A Survey
Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A SurveyACM Computing Surveys (CSUR), 2021
Bonan Min
Hayley L Ross
Elior Sulem
Amir Pouran Ben Veyseh
Thien Huu Nguyen
Oscar Sainz
Eneko Agirre
Ilana Heinz
Dan Roth
LM&MAVLMAI4CE
504
1,439
0
01 Nov 2021
On the Interplay Between Fine-tuning and Composition in Transformers
On the Interplay Between Fine-tuning and Composition in TransformersFindings (Findings), 2021
Lang-Chi Yu
Allyson Ettinger
245
14
0
31 May 2021
A multilabel approach to morphosyntactic probing
A multilabel approach to morphosyntactic probingConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Naomi Tachikawa Shapiro
Amandalynne Paullada
Shane Steinert-Threlkeld
267
12
0
17 Apr 2021
Recurrent babbling: evaluating the acquisition of grammar from limited
  input data
Recurrent babbling: evaluating the acquisition of grammar from limited input dataConference on Computational Natural Language Learning (CoNLL), 2020
Ludovica Pannitto
Aurélie Herbelot
195
17
0
09 Oct 2020
Assessing Phrasal Representation and Composition in Transformers
Assessing Phrasal Representation and Composition in Transformers
Lang-Chi Yu
Allyson Ettinger
CoGe
329
72
0
08 Oct 2020
Evaluating German Transformer Language Models with Syntactic Agreement
  Tests
Evaluating German Transformer Language Models with Syntactic Agreement Tests
Karolina Zaczynska
Nils Feldhus
Robert Schwarzenberg
Aleksandra Gabryszak
Sebastian Möller
138
8
0
07 Jul 2020
A Primer in BERTology: What we know about how BERT works
A Primer in BERTology: What we know about how BERT worksTransactions of the Association for Computational Linguistics (TACL), 2020
Anna Rogers
Olga Kovaleva
Anna Rumshisky
OffRL
551
1,791
0
27 Feb 2020
Quantity doesn't buy quality syntax with neural language models
Quantity doesn't buy quality syntax with neural language modelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Marten van Schijndel
Aaron Mueller
Tal Linzen
237
74
0
31 Aug 2019
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