Kyle Richardson - AI Profile

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Allen Institute for Artificial Intelligence

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I am a research scientist at the Allen Institute for Artificial Intelligence in Seattle, Washington where I do work on natural language processing and machine learning on the Aristo Project.

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Papers18 papers

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Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models

Tushar Khot,Daniel Khashabi,Kyle Richardson,Peter Clark,Ashish Sabharwal

NAACL-HLT, pp.1264-1279, (2021)

EIBibtex

Investigating Transfer Learning in Multilingual Pre-trained Language Models through Chinese Natural Language Inference

Hai Hu, He Zhou, Zuoyu Tian, Yiwen Zhang, Yina Ma, Yanting Li, Yixin Nie,Kyle Richardson

ACL/IJCNLP, pp.3770-3785, (2021)

EIBibtex

Temporal Reasoning on Implicit Events from Distant Supervision

Ben Zhou,Kyle Richardson,Qiang Ning,Tushar Khot,Ashish Sabharwal,Dan Roth

NAACL-HLT, pp.1361-1371, (2021)

Cited by2EIBibtex

What Does My QA Model Know? Devising Controlled Probes using Expert

Kyle Richardson,Ashish Sabharwal

Trans. Assoc. Comput. Linguistics, (2020): 572-588

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Probing Natural Language Inference Models through Semantic Fragments

Kyle Richardson, Hai Hu,Lawrence Moss,Ashish Sabharwal

national conference on artificial intelligence, (2020)

Cited by16Bibtex

What Does My QA Model Know? Devising Controlled Probes using Expert Knowledge

Richardson Kyle,Sabharwal Ashish

Transactions of the Association for Computational Linguistics, (2020)

Bibtex

Transformers as Soft Reasoners over Language

Clark Peter,Tafjord Oyvind,Richardson Kyle

IJCAI 2020, pp.3882-3890, (2020)

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Modular Representation Underlies Systematic Generalization in Neural Natural Language Inference Models

Geiger Atticus,Richardson Kyle,Potts Christopher

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Do Dogs have Whiskers? A New Knowledge Base of hasPart Relations

Bhakthavatsalam Sumithra,Richardson Kyle,Tandon Niket, Clark Peter

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From 'F' to 'A' on the N.Y. Regents Science Exams: An Overview of the Aristo Project

Clark Peter,Etzioni Oren, Khot Tushar, Mishra Bhavana Dalvi,Richardson Kyle,Sabharwal Ashish, Schoenick Carissa,Tafjord Oyvind,Tandon Niket,Bhakthavatsalam Sumithra, Groeneveld Dirk, Guerquin Michal

AI Mag., no. 4 (2020): 39-53

Cited by33EIBibtex

OCNLI: Original Chinese Natural Language Inference

Hai Hu,Kyle Richardson, Liang Xu, Lu Li, Sandra Kuebler,Lawrence S. Moss

EMNLP, pp.3512-3526, (2020)

EIBibtex

A Dataset for Tracking Entities in Open Domain Procedural Text

Niket Tandon,Keisuke Sakaguchi,Bhavana Dalvi,Dheeraj Rajagopal,Peter Clark, Michal Guerquin,Kyle Richardson,Eduard Hovy

EMNLP 2020, pp.6408-6417, (2020)

Cited by1Bibtex

Number Theory Meets Computability Theory

Kyle Richardson

(2020)

Bibtex

MonaLog: a Lightweight System for Natural Language Inference Based on Monotonicity

Hu Hai,Chen Qi,Richardson Kyle, Mukherjee Atreyee,Moss Lawrence S., Kuebler Sandra

Proceedings of the Society for Computation in Linguistics, no. 1 (2019): 319-329

Cited by4Bibtex

Natural Language Access: When Reasoning Makes Sense

Waldinger, Richard, Cleo Condoravdi,Kyle Richardson, Asuman Suenbuel

advances in cognitive systems, (2018)

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New resources and ideas for semantic parser induction

Kyle Richardson

(2018)

EIBibtex

The Code2Text Challenge: Text Generation in Source Code Libraries

Kyle Richardson, Sina Zarrieß, Jonas Kuhn

CoRR, (2017)

Cited by2EIBibtex

Towards Semantic Parsing in Dynamic Domains

Kyle Richardson, Jonas Kuhn

Proceedings of SemDial 2012 (SeineDial): The 16th Workshop on the Semantics and Pragmatics of Dialog..., pp.185, (2012)

Cited by2Bibtex

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Kyle RichardsonResearch

Papers18 papers