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Books on the topic 'Information retrieval keyword extraction'

Author: Grafiati

Published: 5 June 2025

Last updated: 1 August 2025

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1

Lu, Jiaheng. An Introduction to XML Query Processing and Keyword Search. Springer Berlin Heidelberg, 2013.

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2

Xiao, Hemin. Using a thesaurus for query refinement in full-text retrieval. UW Centre for the New Oxford English Dicitionary [sic] and Text Research, 1994.

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3

Schafran, Jacobs Paul, ed. Text-based intelligent systems: Current research and practice in information extraction and retrieval. L. Erlbaum Associates, 1992.

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4

Sabourin, Conrad. Computational linguistics in information science: Information retrieval (full-text or conceptual), automatic indexing, text abstraction, content analysis, information extraction, query languages : bibliography. Infolingua, 1994.

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5

Martin, Golz, Kuh Anthony, Obradovic Dragan, Tanaka Toshihisa, and SpringerLink (Online service), eds. Signal Processing Techniques for Knowledge Extraction and Information Fusion. Springer Science+Business Media, LLC, 2008.

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6

MacDonald, Randall M. Successful keyword searching: Initiating research on popular topics using electronic databases. Greenwood Press, 2001.

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7

Paliouras, Georgios. Knowledge-Driven Multimedia Information Extraction and Ontology Evolution: Bridging the Semantic Gap. Springer Berlin Heidelberg, 2011.

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8

Li, Ying. Video Content Analysis Using Multimodal Information: For Movie Content Extraction, Indexing and Representation. Springer US, 2003.

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9

SCIE-97, (1997 Frascati Italy). Information extraction: A multidisciplinary approach to an emerging information technology : international summer school, SCIE-97, Frascati, Italy, July 14-18, 1997. Springer, 1997.

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10

Li, Ying. Video content analysis using multimodal information: For movie content extraction, indexing, and representation. Kluwer Academic Publishers, 2003.

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11

DNIS 2010 (2010 Aizu Daigaku). Databases in networked information systems: 6th international workshop, DNIS 2010, Aizu-Wakamatsu, Japan, March 29-31, 2010 : proceedings. Springer, 2010.

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12

International Conference on Applications of Natural Language to Information Systems (15th 2010 Cardiff, Great Britain). Natural language processing and information systems: 15th International Conference on Applications of Natural Language to Information Systems, NLDB 2010, Cardiff, UK, June 23-25, 2010 : proceedings. Springer, 2010.

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13

Paul, Dimple Valayil. Developing a Keyword Extractor and Document Classifier: Emerging Research and Opportunities. IGI Global, 2021.

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14

Paul, Dimple Valayil. Developing a Keyword Extractor and Document Classifier: Emerging Research and Opportunities. IGI Global, 2021.

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15

Paul, Dimple Valayil. Developing a Keyword Extractor and Document Classifier: Emerging Research and Opportunities. IGI Global, 2021.

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16

Paul, Dimple Valayil. Developing a Keyword Extractor and Document Classifier: Emerging Research and Opportunities. IGI Global, 2021.

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17

Paul, Dimple Valayil. Developing a Keyword Extractor and Document Classifier: Emerging Research and Opportunities. IGI Global, 2021.

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18

Moens, Marie-Francine. Information Extraction: Algorithms and Prospects in a Retrieval Context (The Information Retrieval Series). Springer, 2006.

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19

Pazienza, Maria T. Information Extraction: Towards Scalable, Adaptable Systems. Springer, 2003.

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20

Lu, Jiaheng. An Introduction to XML Query Processing and Keyword Search. Springer, 2013.

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21

Lu, Jiaheng. An Introduction to XML Query Processing and Keyword Search. Springer, 2015.

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22

Information Extraction: Algorithms and Prospects in a Retrieval Context. Springer Netherlands, 2006. http://dx.doi.org/10.1007/978-1-4020-4993-4.

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23

Moens, Marie-Francine. Information Extraction: Algorithms and Prospects in a Retrieval Context. Springer London, Limited, 2006.

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24

Moens, Marie-Francine. Information Extraction: Algorithms and Prospects in a Retrieval Context. Springer, 2008.

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25

Moens, Marie-Francine. Information Extraction: Algorithms and Prospects in a Retrieval Context. Moens Marie Francine, 2010.

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26

Multisource Multilingual Information Extraction And Summarization. Springer, 2012.

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27

Poibeau, Thierry, Horacio Saggion, Jakub Piskorski, and Roman Yangarber. Multi-Source, Multilingual Information Extraction and Summarization. Springer London, Limited, 2012.

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28

Poibeau, Thierry, Horacio Saggion, Jakub Piskorski, and Roman Yangarber. Multi-source, Multilingual Information Extraction and Summarization. Springer, 2014.

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29

Poibeau, Thierry, Horacio Saggion, and Jakub Piskorski. Multi-source, Multilingual Information Extraction and Summarization. Springer, 2012.

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30

Mandic, Danilo. Signal Processing Techniques for Knowledge Extraction and Information Fusion. Gardners Books, 2010.

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31

An Introduction To Xml Query Processing And Keyword Search. Springer-Verlag Berlin and Heidelberg GmbH &, 2012.

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32

Jacobs, Paul S. Text-based intelligent Systems: Current Research and Practice in information Extraction and Retrieval. Lawrence Erlbaum, 1992.

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33

Text-Based Intelligent Systems: Current Research and Practice in Information Extraction and Retrieval. Lawrence Erlbaum Assoc Inc, 1992.

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34

Jacobs, Paul S. Text-Based Intelligent Systems: Current Research and Practice in Information Extraction and Retrieval. Taylor & Francis Group, 2014.

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35

Jacobs, Paul S. Text-Based Intelligent Systems: Current Research and Practice in Information Extraction and Retrieval. Taylor & Francis Group, 2014.

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36

Jacobs, Paul S. Text-Based Intelligent Systems: Current Research and Practice in Information Extraction and Retrieval. Taylor & Francis Group, 2016.

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37

Jacobs, Paul S. Text-Based Intelligent Systems: Current Research and Practice in Information Extraction and Retrieval. Taylor & Francis Group, 2014.

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38

Jacobs, Paul S. Text-Based Intelligent Systems: Current Research and Practice in Information Extraction and Retrieval. Taylor & Francis Group, 2014.

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39

Pazienza, Maria T. Information Extraction: A Multidisciplinary Approach to an Emerging Information Technology (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence). Springer, 1997.

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40

Pazienza, Maria T. Information Extraction: Towards Scalable, Adaptable Systems (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence). Springer, 1999.

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41

Maybury, Mark T. Multimedia Information Extraction: Advances in Video, Audio, and Imagery Analysis for Search, Data Mining, Surveillance and Authoring. IEEE Computer Society Press, 2012.

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42

Multimedia information extraction: Advances in video, audio, and imagery analysis for search, data mining, surveillance, and authoring. Wiley, 2012.

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43

Maybury, Mark T. Multimedia Information Extraction: Advances in Video, Audio, and Imagery Analysis for Search, Data Mining, Surveillance and Authoring. IEEE Computer Society Press, 2012.

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44

Maybury, Mark T. Multimedia Information Extraction: Advances in Video, Audio, and Imagery Analysis for Search, Data Mining, Surveillance and Authoring. IEEE Computer Society Press, 2012.

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45

Maybury, Mark T. Multimedia Information Extraction: Advances in Video, Audio, and Imagery Analysis for Search, Data Mining, Surveillance and Authoring. Wiley & Sons, Limited, John, 2012.

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46

Kuo, C. C. Jay, and Ying Li. Video Content Analysis Using Multimodal Information: For Movie Content Extraction, Indexing and Representation. Springer, 2003.

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47

Fensel, Dieter. Foundations for the Web of Information and Services. Springer, 2011.

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48

Foundations for the web of information and services: A review of 20 years of semantic web research. Springer, 2011.

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49

Jacquemin, Christian, and Didier Bourigault. Term Extraction and Automatic Indexing. Edited by Ruslan Mitkov. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780199276349.013.0033.

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Terms are pervasive in scientific and technical documents and their identification is a crucial issue for any application dealing with the analysis, understanding, generation, or translation of such documents. In particular, the ever-growing mass of specialized documentation available on-line, in industrial and governmental archives or in digital libraries, calls for advances in terminology processing for tasks such as information retrieval, cross-language querying, indexing of multimedia documents, translation aids, document routing and summarization, etc. This article presents a new domain o

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50

Harabagiu, Sanda, and Dan Moldovan. Question Answering. Edited by Ruslan Mitkov. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780199276349.013.0031.

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Textual Question Answering (QA) identifies the answer to a question in large collections of on-line documents. By providing a small set of exact answers to questions, QA takes a step closer to information retrieval rather than document retrieval. A QA system comprises three modules: a question-processing module, a document-processing module, and an answer extraction and formulation module. Questions may be asked about any topic, in contrast with Information Extraction (IE), which identifies textual information relevant only to a predefined set of events and entities. The natural language proce

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