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20202022
most citedSLAM: A Unified Encoder for Speech and Language Modeling via Speech-Text Joint Pre-Training

50 citations · 103 across the 4 of their papers we have counts for

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5 papers · 1 filter

cs.CL20221 cited

XTREME-S: Evaluating Cross-lingual Speech Representations

Alexis Conneau, Ankur Bapna, Yu Zhang +16

We introduce XTREME-S, a new benchmark to evaluate universal cross-lingual speech representations in many languages. XTREME-S covers four task families: speech recognition, classif…

cs.CL202150 cited

SLAM: A Unified Encoder for Speech and Language Modeling via Speech-Text Joint Pre-Training

Ankur Bapna, Yu-an Chung, Nan Wu +7

Unsupervised pre-training is now the predominant approach for both text and speech understanding. Self-attention models pre-trained on large amounts of unannotated data have been h…

cs.CL20204 cited

CapWAP: Captioning with a Purpose

Adam Fisch, Kenton Lee, Ming-Wei Chang +2

The traditional image captioning task uses generic reference captions to provide textual information about images. Different user populations, however, will care about different vi…

cs.CL2020

XOR QA: Cross-lingual Open-Retrieval Question Answering

Akari Asai, Jungo Kasai, Jonathan H. Clark +3

Multilingual question answering tasks typically assume answers exist in the same language as the question. Yet in practice, many languages face both information scarcity -- where l…

cs.CL2020

TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages

Jonathan H. Clark, Eunsol Choi, Michael Collins +4

Confidently making progress on multilingual modeling requires challenging, trustworthy evaluations. We present TyDi QA---a question answering dataset covering 11 typologically dive…