What’s in an Explanation? Characterizing Knowledge and Inference Requirements for Elementary Science Exams
暂无分享,去创建一个
Peter Jansen | Peter Clark | Niranjan Balasubramanian | Mihai Surdeanu | M. Surdeanu | Peter Clark | Niranjan Balasubramanian | Peter Alexander Jansen
[1] Oren Etzioni,et al. IKE - An Interactive Tool for Knowledge Extraction , 2016, AKBC@NAACL-HLT.
[2] Carlos Guestrin,et al. "Why Should I Trust You?": Explaining the Predictions of Any Classifier , 2016, ArXiv.
[3] Oren Etzioni,et al. Exploring Markov Logic Networks for Question Answering , 2015, EMNLP.
[4] Oren Etzioni,et al. Combining Retrieval, Statistics, and Inference to Answer Elementary Science Questions , 2016, AAAI.
[5] Oren Etzioni,et al. My Computer Is an Honor Student - but How Intelligent Is It? Standardized Tests as a Measure of AI , 2016, AI Mag..
[6] Peter Clark,et al. A library of generic concepts for composing knowledge bases , 2001, K-CAP '01.
[7] Peter Clark,et al. A study of the knowledge base requirements for passing an elementary science test , 2013, AKBC '13.
[8] Andrew Hickl,et al. Scaling Answer Type Detection to Large Hierarchies , 2008, LREC.
[9] Oren Etzioni,et al. Question Answering via Integer Programming over Semi-Structured Knowledge , 2016, IJCAI.
[10] Mihai Surdeanu,et al. Higher-order Lexical Semantic Models for Non-factoid Answer Reranking , 2015, TACL.
[11] William Webb,et al. Comparative analysis of knowledge representation and reasoning requirements across a range of life sciences textbooks , 2014, J. Biomed. Semant..
[12] Sanda M. Harabagiu,et al. FALCON: Boosting Knowledge for Answer Engines , 2000, TREC.
[13] Jason Weston,et al. Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks , 2015, ICLR.
[14] Peter Jansen,et al. Discourse Complements Lexical Semantics for Non-factoid Answer Reranking , 2014, ACL.
[15] Dan Roth,et al. Learning question classifiers: the role of semantic information , 2005, Natural Language Engineering.