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Document processing
Results: 1701

#	Item
331	IBM Research and the University of Colorado TREC 2003 Genomics Track Eric W. Brown, Andrew Dolbey†, Lawrence Hunter† IBM TJ Watson Research Center Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2004-02-12 14:07:08 Natural language processing Computational linguistics Bioinformatics Searching Document retrieval Search engine indexing UIMA Text Retrieval Conference Information extraction Information science Science Information retrieval
332	The Pronto QA system at TREC-2007: harvesting hyponyms, using nominalisation patterns, and computing answer cardinality Johan Bos1 , James R. Curran2 , Edoardo Guzzetti1 1 Dept. of Computer Science University of Rome “ Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2008-02-05 15:52:56 Information retrieval Natural language processing Question answering Text Retrieval Conference Yahoo! Answers WordNet Document retrieval Information science Science Computational linguistics
333	Consent to processing of personal data 1.1. This document governs relationships between the person who processes personal data and the person who provides his personal data for processingA participant of the event Add to Reading List Source URL: digitaloctober.ru Language: English - Date: 2015-03-23 10:53:43 Human behavior Data protection (privacy) laws in Russia Article One of the United States Constitution Personally identifiable information Government
334	Committee: (V1) - Text Processing: Office and Publishing Systems Interface National Designation Title Add to Reading List Source URL: www.incits.org Language: English - Date: 2015-03-12 17:11:52 ISO standards Open formats XML ISO/IEC JTC1/SC34 Office Open XML Regular Language description for XML Document Schema Definition Languages Standard Generalized Markup Language Document Style Semantics and Specification Language Computing Computer file formats Markup languages
335	In Proceedings of the Eleventh Text REtrieval Conference (TREC 2002), November 2002, Gaithersburg, Maryland Extracting Answers from the Web Using Knowledge Annotation and Knowledge Mining Techniques Jimmy Lin Add to Reading List Source URL: start.csail.mit.edu Language: English - Date: 2013-09-27 15:44:05 Computational linguistics Natural language processing Information Question answering Boris Katz Text Retrieval Conference Document retrieval Cyc Query language Information science Science Information retrieval
336	Biomedical Text Retrieval System at Korea University Young-In Song, Kyoung-Soo Han, Hee-Cheol Seo, Sang-Bum Kim, Hae-Chang Rim Natural Language Processing Lab., Dept. of CSE, Korea University, Anam-dong 5-ga, Seongbuk-gu Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2004-02-12 14:07:15 Tf*idf Search engine indexing Text Retrieval Conference Document retrieval Index term Precision and recall Stemming Query expansion Vector space model Information science Information retrieval Science
337	A Study of Factors Affecting the Utility of Implicit Relevance Feedback Ryen W. White Ian Ruthven Add to Reading List Source URL: www.dcs.gla.ac.uk Language: English - Date: 2008-01-05 06:27:13 Information Library science Natural language processing Relevance feedback Relevance Precision and recall Document retrieval Complexity Subject Information science Science Information retrieval
338	Exploring Document Content with XML to Answer Questions Kenneth C. Litkowski CL Research 9208 Gue Road Damascus, MD 20872 Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2006-02-21 09:28:33 Computational linguistics Natural language processing Knowledge Question answering Test Text Retrieval Conference Science Information science Information retrieval
339	Document Processing MOCR provides the highest read rate results, decreasing the risk of misreads CTS MOCR technology combines MICR reading with OCR Add to Reading List Source URL: ctselectronics.ctsgroup.it Language: English - Date: 2013-10-31 04:43:17 Optical character recognition ISO standards SRI International Payment systems Magnetic ink character recognition Business Cheque Cheque truncation system Automatic identification and data capture Humanâ€“computer interaction Artificial intelligence
340	Neat Image standalone application (Linux) To make images look better. User guide Document version 7.6, September 26, 2014 Add to Reading List Source URL: www.neatimage.com Language: English - Date: 2014-10-06 06:46:36 Computing Computer graphics Computer vision ISO standards Noise reduction Raw image format Image noise Image quality Portable Network Graphics Digital photography Image processing Graphics file formats

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