Representation of Constituents in Neural Language Models: Coordination Phrase as a Case Study

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019

10 September 2019

Papers citing "Representation of Constituents in Neural Language Models: Coordination Phrase as a Case Study"

9 / 9 papers shown

Different types of syntactic agreement recruit the same units within large language models

162

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Investigating grammatical abstraction in language models using few-shot learning of novel noun genderFindings (Findings), 2024

Priyanka Sukumaran

Conor Houghton

N. Kazanina

251

15 Mar 2024

Semantic Sensitivities and Inconsistent Predictions: Measuring the Fragility of NLI ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL), 2024

380

25 Jan 2024

Controlled Evaluation of Grammatical Knowledge in Mandarin Chinese Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2021

150

22 Sep 2021

ConjNLI: Natural Language Inference Over Conjunctive SentencesConference on Empirical Methods in Natural Language Processing (EMNLP), 2020

Swarnadeep Saha

Yixin Nie

Joey Tianyi Zhou

303

20 Oct 2020

Structural Supervision Improves Few-Shot Learning and Syntactic Generalization in Neural Language Models

279

12 Oct 2020

How well does surprisal explain N400 amplitude under different experimental conditions?Conference on Computational Natural Language Learning (CoNLL), 2020

J. Michaelov

Benjamin Bergen

167

09 Oct 2020

Cross-Linguistic Syntactic Evaluation of Word Prediction ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2020

Aaron Mueller

Garrett Nicolai

Panayiota Petrou-Zeniou

N. Talmina

Tal Linzen

318

01 May 2020

BLiMP: The Benchmark of Linguistic Minimal Pairs for EnglishTransactions of the Association for Computational Linguistics (TACL), 2019

608

683

02 Dec 2019