activity
20132026
most citedBERTScore: Evaluating Text Generation with BERT

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

collaborators
Showing 2021Show all

6 papers · 1 filter

cs.CL2021★ 1 cited

SLUE: New Benchmark Tasks for Spoken Language Understanding Evaluation on Natural Speech

Suwon Shon, Ankita Pasad, Felix Wu +4

Progress in speech processing has been facilitated by shared datasets and benchmarks. Historically these have focused on automatic speech recognition (ASR), speaker identification,…

cs.CL2021★ 5 cited

Performance-Efficiency Trade-offs in Unsupervised Pre-training for Speech Recognition

Felix Wu, Kwangyoun Kim, Jing Pan +3

This paper is a study of performance-efficiency trade-offs in pre-trained models for automatic speech recognition (ASR). We focus on wav2vec 2.0, and formalize several architecture…

cs.CL2021

Analysis of Language Change in Collaborative Instruction Following

Anna Effenberger, Eva Yan, Rhia Singh +2

We analyze language change over time in a collaborative, goal-oriented instructional task, where utility-maximizing participants form conventions and increase their expertise. Prio…

cs.CV2021

Who's Waldo? Linking People Across Text and Images

Claire Yuqing Cui, Apoorv Khandelwal, Yoav Artzi +2

We present a task and benchmark dataset for person-centric visual grounding, the problem of linking between people named in a caption and people pictured in an image. In contrast t…

cs.CL2021★ 2 cited

Continual Learning for Grounded Instruction Generation by Observing Human Following Behavior

Noriyuki Kojima, Alane Suhr, Yoav Artzi

We study continual learning for natural language instruction generation, by observing human users' instruction execution. We focus on a collaborative scenario, where the system bot…

cs.RO2021★ 13 cited

A Persistent Spatial Semantic Representation for High-level Natural Language Instruction Execution

Valts Blukis, Chris Paxton, Dieter Fox +2

Natural language provides an accessible and expressive interface to specify long-term tasks for robotic agents. However, non-experts are likely to specify such tasks with high-leve…