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Question answering
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#	Item
311	QALM: a Benchmark for Question Answering over Linked Merchant Websites Data Amine Hallili1 , Elena Cabrio2,3 , and Catherine Faron Zucker1 1 Univ. Nice Sophia Antipolis, CNRS, I3S, UMR 7271, Sophia Antipolis, France Add to Reading List Source URL: ceur-ws.org Language: English - Date: 2014-10-07 11:06:26 Information Knowledge representation Technical communication Computational linguistics Question answering Ontology Linked data SPARQL Information science Semantic Web Science
312	TIPS TO ANSWERING TYPICAL INTERVIEW QUESTIONS How well did you answer these questions? Using a rating scale 1 – 5: (1 poor to 5 excellent) give yourself a 1-5 score based on your written answer from “Typical Intervie Add to Reading List Source URL: www.rop.santacruz.k12.ca.us Language: English - Date: 2007-02-23 12:26:39 Management Organizational behavior Interviews Job interview Question Book of Job Background check Application for employment Job hunting Employment Recruitment Human resource management
313	Freebase QA: Information Extraction or Semantic Parsing? Xuchen Yao 1 Jonathan Berant 3 Benjamin Van Durme 1,2 1 Center for Language and Speech Processing 2 Human Language Technology Center of Excellence Add to Reading List Source URL: allenai.org Language: English Computational linguistics Information Information retrieval Semantic Web World Wide Web Question answering Freebase DBpedia Yes and no Science Information science Natural language processing
314	Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks Add to Reading List Source URL: arxiv.org Language: English - Date: 2015-02-24 20:17:33 Computational neuroscience Computational linguistics Mental processes Memory Educational psychology Natural language processing Question answering Artificial neural network Time management Science Mind Knowledge
315	Analysing questions Before you start answering an essay question you should read it very carefully. Study it closely, and try to analyse it fully. Make an effort to understand the problem it is posing, or the topic it is Add to Reading List Source URL: www.mantex.co.uk Language: English - Date: 2012-06-26 05:58:24 Question Education Educational psychology Critical thinking Linguistics Data collection Grammar Human communication
316	review articles Targeted IE methods are transforming into open-ended techniques. by Oren Etzioni, Michele Banko, Stephen Soderland, and Daniel S. Weld Add to Reading List Source URL: turing.cs.washington.edu Language: English - Date: 2009-03-09 17:51:55 Computational linguistics Natural language processing Information retrieval Cybernetics Information extraction Message Understanding Conference Ontology CALO Question answering Science Information science Artificial intelligence
317	About This Checklist Let me begin by answering the most obvious question: “What is this PDF?” Well, you’re reading a modified version of the same checklist I use whenever I publish a Kindle book. Whenever an idea Add to Reading List Source URL: www.stevescottsite.com Language: English - Date: 2015-01-20 14:53:44 Electronic publishing Amazon Kindle Proprietary hardware Ur E-book Book Amazon.com Paper Publishing Media technology
318	A Hybrid Approach to Clinical Question Answering Sadid A. Hasan, Xianshu Zhu, Yao Dong, Joey Liu, and Oladimeji Farri Philips Research North America, Briarcliff Manor, NY, USA {sadid.hasan,xianshu.zhu,yao.dong,joey.liu,D Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2015-02-09 16:44:37 Natural language processing Medicine National Institutes of Health Computational linguistics Artificial intelligence applications Text Retrieval Conference Relevance Clinical decision support system Medical research Information science Science Information retrieval
319	Spinning Straw into Gold: Using Free Text to Train Monolingual Alignment Models for Non-factoid Question Answering Rebecca Sharp1 , Peter Jansen1 , Mihai Surdeanu1 , and Peter Clark2 1 University of Arizona, Tucson, AZ, Add to Reading List Source URL: allenai.org Language: English - Date: 2015-04-15 19:25:18 Natural language processing Semantics Information retrieval Statistical natural language processing Question answering Open domain question answering Discourse analysis Discourse relation Semantic similarity Linguistics Science Computational linguistics
320	Learning Knowledge Graphs for Question Answering through Conversational Dialog Peter Clark Hannaneh Hajishirzi Ben Hixon Allen Institute for AI Add to Reading List Source URL: allenai.org Language: English Humanâ€“computer interaction Natural language processing Multimodal interaction User interfaces Knowledge representation Dialog system File dialog Question answering Cyc Computational linguistics Science Linguistics

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