Search Results for author: Sumithra Bhakthavatsalam

Found 5 papers, 0 papers with code

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

no code implementations12 Jun 2020 Sumithra Bhakthavatsalam, Kyle Richardson, Niket Tandon, Peter Clark

We present a new knowledge-base of hasPart relationships, extracted from a large corpus of generic statements.

GenericsKB: A Knowledge Base of Generic Statements

no code implementations2 May 2020 Sumithra Bhakthavatsalam, Chloe Anastasiades, Peter Clark

We present a new resource for the NLP community, namely a large (3. 5M+ sentence) knowledge base of *generic statements*, e. g., "Trees remove carbon dioxide from the atmosphere", collected from multiple corpora.

Sentence

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

no code implementations4 Sep 2019 Peter Clark, Oren Etzioni, Daniel Khashabi, Tushar Khot, Bhavana Dalvi Mishra, Kyle Richardson, Ashish Sabharwal, Carissa Schoenick, Oyvind Tafjord, Niket Tandon, Sumithra Bhakthavatsalam, Dirk Groeneveld, Michal Guerquin, Michael Schmitz

This paper reports unprecedented success on the Grade 8 New York Regents Science Exam, where for the first time a system scores more than 90% on the exam's non-diagram, multiple choice (NDMC) questions.

Multiple-choice Question Answering

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