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- Sriraam Natarajan, Tushar Khot, Kristian Kersting, Bernd Gutmann, Jude W. Shavlik
- Machine Learning
- 2011
Dependency networks approximate a joint probability distribution over multiple random variables as a product of conditional distributions. Relational Dependency Networks (RDNs) are graphical models… (More)
- Tushar Khot, Ashish Sabharwal, Peter F. Clark
- AAAI
- 2018
We present a new dataset and model for textual entailment, derived from treating multiple-choice question-answering as an entailment problem. SCITAIL is the first entailment set that is created… (More)
- Tushar Khot, Sriraam Natarajan, Kristian Kersting, Jude W. Shavlik
- IEEE 11th International Conference on Data Mining
- 2011
Recent years have seen a surge of interest in Statistical Relational Learning (SRL) models that combine logic with probabilities. One prominent example is Markov Logic Networks (MLNs). While MLNs are… (More)
- Peter F. Clark, Isaac Cowhey, +4 authors Oyvind Tafjord
- ArXiv
- 2018
We present a new question set, text corpus, and baselines assembled to encourage AI research in advanced question answering. Together, these constitute the AI2 Reasoning Challenge (ARC), which… (More)
- Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Peter F. Clark, Oren Etzioni, Dan Roth
- IJCAI
- 2016
Answering science questions posed in natural language is an important AI challenge. Answering such questions often requires non-trivial inference and knowledge that goes beyond factoid retrieval.… (More)
- Peter F. Clark, Oren Etzioni, +4 authors Daniel Khashabi
- AAAI
- 2016
What capabilities are required for an AI system to pass standard 4th Grade Science Tests? Previous work has examined the use of Markov Logic Networks (MLNs) to represent the requisite background… (More)
- Tzvetan Mihaylov, Peter F. Clark, Tushar Khot, Ashish Sabharwal
- EMNLP
- 2018
We present a new kind of question answering dataset, OpenBookQA, modeled after open book exams for assessing human understanding of a subject. The open book that comes with our questions is a set of… (More)
- Xiaojin Zhu, Zhiting Xu, Tushar Khot
- 2009
We demonstrate that subjective creativity in sentence-writing can in part be predicted using computable quantities studied in Computer Science and Cognitive Psychology. We introduce a task in which a… (More)
- Phillip Odom, Tushar Khot, Reid B. Porter, Sriraam Natarajan
- AAAI
- 2015
Advice giving has been long explored in artificial intelligence to build robust learning algorithms. We consider advice giving in relational domains where the noise is systematic. The advice is… (More)
- Tushar Khot, Ashish Sabharwal, Peter F. Clark
- ACL
- 2017
While there has been substantial progress in factoid question-answering (QA), answering complex questions remains challenging, typically requiring both a large body of knowledge and inference… (More)