Question answering - PDFSEARCH.IO - Document Search Engine

Question answering
Results: 701

#	Item
61	Advances in natural language processing Julia Hirschberg1* and Christopher D. Manning2,3 Natural language processing employs computational techniques for the purpose of learning, understanding, and producing human langua Add to Reading List Source URL: cs224d.stanford.edu Language: English - Date: 2016-05-12 22:27:11 Computational linguistics Linguistics Applied linguistics Artificial intelligence Natural language processing Machine translation Question answering Word-sense disambiguation Text corpus Language model Speech recognition Language technology
62	Are Things Really Getting Better?: How To Validate Latent Variable Models of Human Rights Christopher J. Fariss∗† Abstract Has respect for human rights improved? Answering this question requires valid comparisons of Add to Reading List Source URL: cfariss.com Language: English - Date: 2016-06-23 14:00:50 Statistics Statistical models Psychometrics Statistical methods Latent variable model Latent variable Human rights Latency Regression analysis
63	Evaluating Machine Translation in a Usage Scenario Rosa Del Gaudio, Aljoscha Burchardt and Ant´onio Branco Higher Functions – Sistemas Inteligentes; DFKI – LT Lab; University of Lisbon Lisbon, Portugal; Berlin, Germ Add to Reading List Source URL: www.di.fc.ul.pt Language: English - Date: 2016-06-06 11:42:24 Computational linguistics Linguistics Language Applied linguistics Machine translation BLEU Question answering Evaluation of machine translation Natural language processing Pivot language Pilot Text corpus
64	Use of Metadata for Question Answering and Novelty Tasks Kenneth C. Litkowski CL Research 9208 Gue Road Damascus, MD 20872 Add to Reading List Source URL: www.clres.com Language: English - Date: 2005-03-25 21:50:47 Linguistics Computing Natural language processing Language Computational linguistics Sociolinguistics Question answering Automatic summarization XPath Sentence Information extraction Discourse analysis
65	Comparing Query Formulation and Lexical Affinity Replacements in Passage Retrieval Egidio Terra Charles L.A. Clarke Add to Reading List Source URL: plg.uwaterloo.ca Language: English - Date: 2005-07-28 20:22:05 Information science Information retrieval Natural language processing Computational linguistics Information retrieval evaluation Query expansion Document retrieval Question answering Relevance feedback Text Retrieval Conference Concept search
66	CATECHISM TEST #6 (CCC #1949-#2550) In answering the questions below place a ? in front of the question if you are not certain of the answer. Place a G in front of the question if your answer is a guess. Note: some quest Add to Reading List Source URL: www.totustuus.com Language: English - Date: 2012-08-31 06:56:32 Christian theology Christianity Religion Christian philosophy Commandments Lutheran theology Methodism Law in the Bible Grace in Christianity Justification Natural law Salvation in Christianity
67	Calling Priests Father by Jim Seghers Catholics call their priests fathers. Is this a violation of Jesus’ command “call no man father” (Mt 23:9)? Before answering this question it will prove helpful to quote the en Add to Reading List Source URL: www.totustuus.com Language: English - Date: 2012-08-31 06:56:55 Apocalypticists Prophets of Islam Carpenters Jesus Messianism Rabbis of the Land of Israel Pharisees John the Baptist Mark 10
68	Passage Retrieval in a Question Answering System Juri Pyykk¨o, Rebecka Weegar, Pierre Nugues Lund University, Department of Computer Science SLund, Sweden , , pierre.nug Add to Reading List Source URL: www2.lingfil.uu.se Language: English - Date: 2014-10-16 02:36:44 Artificial intelligence applications Computational linguistics Natural language processing Question answering Kvitt eller dubbelt
69	Question Answering Using XML-Tagged Documents Kenneth C. Litkowski CL Research 9208 Gue Road Damascus, MD 20872 Add to Reading List Source URL: www.clres.com Language: English - Date: 2005-03-25 23:00:51 Natural language processing Markup languages Computational linguistics Technical communication Question answering XML tree XPath XSLT Text Retrieval Conference Noun phrase Information extraction Standard Generalized Markup Language
70	Evolving XML and Dictionary Strategies for Question Answering and Novelty Tasks Kenneth C. Litkowski CL Research 9208 Gue Road Damascus, MD 20872 Add to Reading List Source URL: www.clres.com Language: English - Date: 2005-03-25 21:45:31 Natural language processing Computational linguistics Question answering Automatic summarization Precision and recall Question Sentence Information retrieval Yes and no Subject Text Retrieval Conference

UPDATE