Swords: A Benchmark for Lexical Substitution with Improved Data Coverage
and Quality

Swords: A Benchmark for Lexical Substitution with Improved Data Coverage and Quality

8 June 2021

Robin Jia

Alexander Iyabor

Papers citing "Swords: A Benchmark for Lexical Substitution with Improved Data Coverage and Quality"

8 / 8 papers shown

Title
Lexical Substitution is not Synonym Substitution: On the Importance of Producing Contextually Relevant Word Substitutes Juraj Vladika Stephen Meisenbacher Florian Matthes 210 0 0 06 Feb 2025
What Can We Learn from Collective Human Opinions on Natural Language Inference Data? Yixin Nie Xiang Zhou Joey Tianyi Zhou 79 138 0 07 Oct 2020
A Comparative Study of Lexical Substitution Approaches based on Neural Language Models N. Arefyev Boris Sheludko Alexander Podolskiy Alexander Panchenko 23 10 0 29 May 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 706 41,736 0 28 May 2020
ParaBank: Monolingual Bitext Generation and Sentential Paraphrasing via Lexically-constrained Neural Machine Translation J. E. Hu Rachel Rudinger Matt Post Benjamin Van Durme 57 82 0 11 Jan 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.6K 94,729 0 11 Oct 2018
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks Mohit Iyyer John Wieting Kevin Gimpel Luke Zettlemoyer AAML GAN 320 718 0 17 Apr 2018
ParaNMT-50M: Pushing the Limits of Paraphrastic Sentence Embeddings with Millions of Machine Translations John Wieting Kevin Gimpel LRM 63 149 0 15 Nov 2017