Information retrieval applications - PDFSEARCH.IO - Document Search Engine

Information retrieval applications
Results: 317

#	Item
71	Nerdle: Topic-Specific Question Answering Using Wikia Seeds ¨ Umar Maqsud, Sebastian Arnold, Michael Hulfenhaus and Alan Akbik Database Systems and Information Management Group Technische Universit¨at Berlin Add to Reading List Source URL: aclweb.org Language: English - Date: 2014-08-08 12:30:01 Information science Computational linguistics Information retrieval Natural language processing Artificial intelligence applications Question answering Predicate Yes and no Question Science Linguistics Grammar
72	Employing Two Question Answering Systems in TRECSanda Harabagiu, Dan Moldovan, Christine Clark, Mitchell Bowden, Andrew Hickl and Patrick Wang Language Computer Corporation Richardson, Texassanda@languageco Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2006-02-21 09:28:38 Computational linguistics Natural language processing Artificial intelligence applications Question answering Open domain question answering Document retrieval Question Yes and no Information science Information retrieval Science
73	Microsoft Word - ciqa2007-mod.doc Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2008-01-17 15:25:10 Information retrieval Natural language processing Artificial intelligence applications Question answering Questionnaire Question Science Information science Computational linguistics
74	A Connectivity Analysis Approach to Increasing Precision in Retrieval from Hyperlinked Documents Cathal Gurrin & Alan F. Smeaton School of Computer Applications Dublin City University Ireland Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2000-02-08 12:57:19 HITS algorithm Search engine indexing Information science Information retrieval Ranking
75	TREC2003 QA at BBN: Answering Definitional Questions Jinxi Xu, Ana Licuanan and Ralph Weischedel BBN Technologies 50 Moulton Street Cambridge, MA Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2004-02-13 06:54:28 Computational linguistics Information retrieval Natural language processing Artificial intelligence applications Veracity Question answering Question Yes and no Fact Science Linguistics Information science
76	FDUQA on TREC2003 QA task Lide Wu, Xuanjing Huang, Yaqian Zhou, Yongping Du, Lan You Fudan University, Shanghai, China 1 Introduction It is the fourth time that we take part in the QA track. Our system, FDUQA, is based o Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2004-02-12 14:07:07 Information science Information retrieval Linguistics Artificial intelligence applications Question answering Question Bin Open domain question answering Science Natural language processing Computational linguistics
77	Question Answering by Diggery at TREC-2006 Stan Tomlinson, Ph.D. Diggery is a research and software project, investigating the extraction of concepts from Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2007-02-16 13:07:46 Information retrieval Computational linguistics Natural language processing Artificial intelligence applications Semantics Question answering Question Parsing Anaphora Science Information science Linguistics
78	Journal of Quantitative Linguistics 2010, Volume 17, Number 1, pp. 1–29 DOI: Latent Semantic Analysis Parameters for Essay Evaluation using Small-Scale Corpora* Add to Reading List Source URL: elsemantico.es Language: English - Date: 2011-08-21 15:36:14 Natural language processing Mathematics Linear algebra Latent semantic analysis Multivariate statistics Artificial intelligence applications Document-term matrix Tf*idf Dimension reduction Algebra Information science Information retrieval
79	Experiments with Web QA System and TREC2004 Questions Dmitri Roussinov Arizona State University Department of Information Systems Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2005-02-10 13:20:34 Information retrieval Natural language processing Linguistics Artificial intelligence applications Human communication Question answering Question Open domain question answering Yes and no Science Information science Computational linguistics
80	Using Semantic Relations with World Knowledge for Question Answering Ka Kan Lo and Wai Lam Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong, Hong Kong kklo,wlam @se.cuhk.e Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2007-02-16 13:07:38 Information science Linguistics Information retrieval Artificial intelligence applications Question answering Yes and no Sentence extraction Question Parsing Computational linguistics Science Natural language processing

UPDATE