Does Putting a Linguist in the Loop Improve NLU Data Collection?

Does Putting a Linguist in the Loop Improve NLU Data Collection?

15 April 2021

Karmanya Aggarwal

Samuel R. Bowman

Papers citing "Does Putting a Linguist in the Loop Improve NLU Data Collection?"

10 / 10 papers shown

Title
No Strong Feelings One Way or Another: Re-operationalizing Neutrality in Natural Language Inference Animesh Nighojkar Antonio Laverghetta John Licato 28 4 0 16 Jun 2023
What does the Failure to Reason with "Respectively" in Zero/Few-Shot Settings Tell Us about Language Models? Ruixiang Cui Seolhwa Lee Daniel Hershcovich Anders Søgaard 25 2 0 31 May 2023
WeCheck: Strong Factual Consistency Checker via Weakly Supervised Learning Wenhao Wu Wei Li Xinyan Xiao Jiachen Liu Sujian Li Yajuan Lv HILM 23 4 0 20 Dec 2022
RuCoLA: Russian Corpus of Linguistic Acceptability Vladislav Mikhailov T. Shamardina Max Ryabinin A. Pestova I. Smurov Ekaterina Artemova 25 28 0 23 Oct 2022
InferES : A Natural Language Inference Corpus for Spanish Featuring Negation-Based Contrastive and Adversarial Examples Venelin Kovatchev Mariona Taulé 25 4 0 06 Oct 2022
UnNatural Language Inference Koustuv Sinha Prasanna Parthasarathi Joelle Pineau Adina Williams 216 80 0 30 Dec 2020
ANLIzing the Adversarial Natural Language Inference Dataset Adina Williams Tristan Thrush Douwe Kiela AAML 166 45 0 24 Oct 2020
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets Mor Geva Yoav Goldberg Jonathan Berant 237 319 0 21 Aug 2019
Hypothesis Only Baselines in Natural Language Inference Adam Poliak Jason Naradowsky Aparajita Haldar Rachel Rudinger Benjamin Van Durme 190 576 0 02 May 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 297 6,950 0 20 Apr 2018