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Staged Training for Transformer Language Models

Sheng Shen , Pete Walsh , Kurt Keutzer , Jesse Dodge , Matthew Peters , Iz Beltagy

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PIGLeT: Language Grounding Through Neuro-Symbolic Interaction in a 3D World

Rowan Zellers , Ari Holtzman , Matthew Peters , Roozbeh Mottaghi , Aniruddha Kembhavi , Ali Farhadi , Yejin Choi

* ACL 2021 camera ready, project page at 

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Shallow Syntax in Deep Water

Swabha Swayamdipta , Matthew Peters , Brendan Roof , Chris Dyer , Noah A. Smith

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To Tune or Not to Tune? Adapting Pretrained Representations to Diverse Tasks

Matthew Peters , Sebastian Ruder , Noah A. Smith

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AllenNLP: A Deep Semantic Natural Language Processing Platform

Matt Gardner , Joel Grus , Mark Neumann , Oyvind Tafjord , Pradeep Dasigi , Nelson Liu , Matthew Peters , Michael Schmitz , Luke Zettlemoyer

* Describes the initial version of AllenNLP. Many features and models have been added since the first release. This is the paper to cite if you use AllenNLP in your research. Updated 5/31/2018 with version accepted to the NLP OSS workshop help at ACL 2018 

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Extending a Parser to Distant Domains Using a Few Dozen Partially Annotated Examples

Vidur Joshi , Matthew Peters , Mark Hopkins

* ACL 2018 

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Construction of the Literature Graph in Semantic Scholar

Waleed Ammar , Dirk Groeneveld , Chandra Bhagavatula , Iz Beltagy , Miles Crawford , Doug Downey , Jason Dunkelberger , Ahmed Elgohary , Sergey Feldman , Vu Ha , Rodney Kinney , Sebastian Kohlmeier , Kyle Lo , Tyler Murray , Hsu-Han Ooi , Matthew Peters , Joanna Power , Sam Skjonsberg , Lucy Lu Wang , Chris Wilhelm , Zheng Yuan , Madeleine van Zuylen , Oren Etzioni

* To appear in NAACL 2018 industry track 

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