D
Dan Garrette
Researcher at Google
Publications - 28
Citations - 2454
Dan Garrette is an academic researcher from Google. The author has contributed to research in topics: Language model & Parsing. The author has an hindex of 16, co-authored 28 publications receiving 1682 citations. Previous affiliations of Dan Garrette include University of Texas at Austin & University of Edinburgh.
Papers
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Proceedings ArticleDOI
How multilingual is Multilingual BERT
TL;DR: This article showed that M-BERT is surprisingly good at zero-shot cross-lingual model transfer, in which task-specific annotations in one language are used to fine-tune the model for evaluation in another language.
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How multilingual is Multilingual BERT
TL;DR: It is concluded that M-BERT does create multilingual representations, but that these representations exhibit systematic deficiencies affecting certain language pairs, and that the model can find translation pairs.
Posted Content
DyNet: The Dynamic Neural Network Toolkit
Graham Neubig,Chris Dyer,Yoav Goldberg,Austin Matthews,Waleed Ammar,Antonios Anastasopoulos,Miguel Ballesteros,David Chiang,Daniel Clothiaux,Trevor Cohn,Kevin Duh,Manaal Faruqui,Cynthia Gan,Dan Garrette,Yangfeng Ji,Lingpeng Kong,Adhiguna Kuncoro,Gaurav Kumar,Chaitanya Malaviya,Paul Michel,Yusuke Oda,Matthew Richardson,Naomi Saphra,Swabha Swayamdipta,Pengcheng Yin +24 more
TL;DR: DyNet is a toolkit for implementing neural network models based on dynamic declaration of network structure that has an optimized C++ backend and lightweight graph representation and is designed to allow users to implement their models in a way that is idiomatic in their preferred programming language.
Posted Content
TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages
Jonathan H. Clark,Eunsol Choi,Michael Collins,Dan Garrette,Tom Kwiatkowski,Vitaly Nikolaev,Jennimaria Palomaki +6 more
TL;DR: A quantitative analysis of the data quality and example-level qualitative linguistic analyses of observed language phenomena that would not be found in English-only corpora are presented.
Journal ArticleDOI
TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages
Jonathan H. Clark,Eunsol Choi,Michael Collins,Dan Garrette,Tom Kwiatkowski,Vitaly Nikolaev,Jennimaria Palomaki +6 more
TL;DR: TyDi QA as mentioned in this paper ) is a question answering dataset covering 11 typologically diverse languages with question answering in English, French, German, Dutch, Italian, Spanish, and Russian.