no code implementations • 5 Feb 2021 • Sumithra Bhakthavatsalam, Daniel Khashabi, Tushar Khot, Bhavana Dalvi Mishra, Kyle Richardson, Ashish Sabharwal, Carissa Schoenick, Oyvind Tafjord, Peter Clark
We present the ARC-DA dataset, a direct-answer ("open response", "freeform") version of the ARC (AI2 Reasoning Challenge) multiple-choice dataset.
no code implementations • 12 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.
no code implementations • 2 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.
no code implementations • 4 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.