activity
20132026
most citedBERTScore: Evaluating Text Generation with BERT

2.4k citations · 3k across the 56 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

cs.CL2019★ 2 cited

Interactive Classification by Asking Informative Questions

Lili Yu, Howard Chen, Sida Wang +2

We study the potential for interaction in natural language classification. We add a limited form of interaction for intent classification, where users provide an initial query usin…

cs.RO2019★ 26 cited

Learning to Map Natural Language Instructions to Physical Quadcopter Control using Simulated Flight

Valts Blukis, Yannick Terme, Eyvind Niklasson +2

We propose a joint simulation and real-world learning framework for mapping navigation instructions and raw first-person observations to continuous control. Our model estimates the…

cs.CL2019★ 2 cited

Executing Instructions in Situated Collaborative Interactions

Alane Suhr, Claudia Yan, Charlotte Schluger +5

We study a collaborative scenario where a user not only instructs a system to complete tasks, but also acts alongside it. This allows the user to adapt to the system abilities by c…

cs.CL2019★ 8 cited

NLVR2 Visual Bias Analysis

Alane Suhr, Yoav Artzi

NLVR2 (Suhr et al., 2019) was designed to be robust for language bias through a data collection process that resulted in each natural language sentence appearing with both true and…

cs.CL2019★ 2.4k cited

BERTScore: Evaluating Text Generation with BERT

Tianyi Zhang, Varsha Kishore, Felix Wu +2

We propose BERTScore, an automatic evaluation metric for text generation. Analogously to common metrics, BERTScore computes a similarity score for each token in the candidate sente…