Peter Clark
Allen Institute for AI
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- Publications
- Influence
Rule Induction with CN2: Some Recent Improvements
- Peter Clark, R. Boswell
- Mathematics, Computer Science
- EWSL
- 1 March 1991
The CN2 algorithm induces an ordered list of classification rules from examples using entropy as its search heuristic. In this short paper, we describe two improvements to this algorithm. Firstly, we… Expand
The CN2 induction algorithm
- Peter Clark, T. Niblett
- Computer Science
- Machine Learning
- 2004
Systems for inducing concept descriptions from examples are valuable tools for assisting in the task of knowledge acquisition for expert systems. This paper presents a description and empirical… Expand
The Sixth PASCAL Recognizing Textual Entailment Challenge
- L. Bentivogli, Peter Clark, I. Dagan, Danilo Giampiccolo
- Computer Science
- TAC
- 2009
This paper presents the Fifth Recognizing Textual Entailment Challenge (RTE5). Following the positive experience of the last campaign, RTE-5 has been proposed for the second time as a track at the… Expand
SciTaiL: A Textual Entailment Dataset from Science Question Answering
- Tushar Khot, A. Sabharwal, Peter Clark
- Computer Science
- AAAI
- 7 February 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… Expand
Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
- Peter Clark, Isaac Cowhey, +4 authors Oyvind Tafjord
- Computer Science
- ArXiv
- 14 March 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… Expand
SemEval-2013 Task 7: The Joint Student Response Analysis and 8th Recognizing Textual Entailment Challenge
- M. Dzikovska, R. Nielsen, +6 authors H. Dang
- Computer Science
- SemEval@NAACL-HLT
- 14 June 2013
We present the results of the Joint Student Response Analysis and 8th Recognizing Textual Entailment Challenge, aiming to bring together researchers in educational NLP technology and textual… Expand
Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering
- Todor Mihaylov, Peter Clark, Tushar Khot, A. Sabharwal
- Computer Science
- EMNLP
- 8 September 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… Expand
The Seventh PASCAL Recognizing Textual Entailment Challenge
- L. Bentivogli, Peter Clark, I. Dagan, Danilo Giampiccolo
- Computer Science
- TAC
- 2011
This paper presents the Seventh Recognizing Textual Entailment (RTE-7) challenge. This year’s challenge replicated the exercise proposed in RTE-6, consisting of a Main Task, in which Textual… Expand
Answer Extraction as Sequence Tagging with Tree Edit Distance
- Xuchen Yao, Benjamin Van Durme, Chris Callison-Burch, Peter Clark
- Computer Science
- HLT-NAACL
- 1 June 2013
Our goal is to extract answers from preretrieved sentences for Question Answering (QA). We construct a linear-chain Conditional Random Field based on pairs of questions and their possible answer… Expand
Induction in Noisy Domains
- Peter Clark, T. Niblett
- Mathematics, Computer Science
- EWSL
- 1 May 1987
This paper examines the induction of classification rules from examples using real-world data. Real-world data is almost always characterized by two features, which are important for the design of an… Expand
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