activity
20162023
most citedWinoGrande: An Adversarial Winograd Schema Challenge at Scale

84 citations · 313 across the 28 of their papers we have counts for

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Showing 2021Show all

7 papers · 1 filter

cs.AI2021★ 3 cited

Interscript: A dataset for interactive learning of scripts through error feedback

Niket Tandon, Aman Madaan, Peter Clark +2

How can an end-user provide feedback if a deployed structured prediction model generates inconsistent output, ignoring the structural complexity of human language? This is an emerg…

cs.CL2021

Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand

Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras +5

Natural language processing researchers have identified limitations of evaluation methodology for generation tasks, with new questions raised about the validity of automatic metric…

cs.CL2021

Transparent Human Evaluation for Image Captioning

Jungo Kasai, Keisuke Sakaguchi, Lavinia Dunagan +4

We establish THumB, a rubric-based human evaluation protocol for image captioning models. Our scoring rubrics and their definitions are carefully developed based on machine- and hu…

cs.CL2021

Can Machines Learn Morality? The Delphi Experiment

Liwei Jiang, Jena D. Hwang, Chandra Bhagavatula +12

As AI systems become increasingly powerful and pervasive, there are growing concerns about machines' morality or a lack thereof. Yet, teaching morality to machines is a formidable…

cs.CL2021

Improving Neural Model Performance through Natural Language Feedback on Their Explanations

Aman Madaan, Niket Tandon, Dheeraj Rajagopal +4

A class of explainable NLP models for reasoning tasks support their decisions by generating free-form or structured explanations, but what happens when these supporting structures…

cs.CL2021★ 8 cited

proScript: Partially Ordered Scripts Generation via Pre-trained Language Models

Keisuke Sakaguchi, Chandra Bhagavatula, Ronan Le Bras +3

Scripts - standardized event sequences describing typical everyday activities - have been shown to help understand narratives by providing expectations, resolving ambiguity, and fi…

cs.CL2021

GrammarTagger: A Multilingual, Minimally-Supervised Grammar Profiler for Language Education

Masato Hagiwara, Joshua Tanner, Keisuke Sakaguchi

We present GrammarTagger, an open-source grammar profiler which, given an input text, identifies grammatical features useful for language education. The model architecture enables…