Knowledge extraction

Results: 304



#Item
11Towards Technology Structure Mining from Scientific Literature Behrang QasemiZadeh Unit for Natural Language Processing, DERI National University of Ireland, Galway

Towards Technology Structure Mining from Scientific Literature Behrang QasemiZadeh Unit for Natural Language Processing, DERI National University of Ireland, Galway

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Source URL: pars.ie

Language: English - Date: 2015-10-23 12:15:03
12How to deal with heterogeneous data? Mathieu Roche UMR TETIS (Cirad, Irstea, AgroParisTech) – France  LIRMM (CNRS, University of Montpellier) – France

How to deal with heterogeneous data? Mathieu Roche UMR TETIS (Cirad, Irstea, AgroParisTech) – France LIRMM (CNRS, University of Montpellier) – France

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Source URL: ceur-ws.org

Language: English - Date: 2015-10-12 18:54:24
13A Hybrid Strategy for Knowledge Extraction from Biomedical Documents Margherita Berardi Michelangelo Ceci Donato Malerba Dipartimento di Informatica - University of Bari Via Orabona 4, 70125 Bari, Italy

A Hybrid Strategy for Knowledge Extraction from Biomedical Documents Margherita Berardi Michelangelo Ceci Donato Malerba Dipartimento di Informatica - University of Bari Via Orabona 4, 70125 Bari, Italy

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Source URL: www.dsi.unifi.it

Language: English - Date: 2009-12-17 04:49:47
14Indexing and Retrieval in MEDLINE: AMTEx vs

Indexing and Retrieval in MEDLINE: AMTEx vs

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Source URL: www.intelligence.tuc.gr

Language: English - Date: 2011-12-08 06:07:26
15FP7-ICT Strategic Targeted Research Project (STREP) TrendMiner (NoLarge-scale, Cross-lingual Trend Mining and Summarisation of Real-time Media Streams D2.2.1 Multilingual, Ontology-Based IE from Stream Media -

FP7-ICT Strategic Targeted Research Project (STREP) TrendMiner (NoLarge-scale, Cross-lingual Trend Mining and Summarisation of Real-time Media Streams D2.2.1 Multilingual, Ontology-Based IE from Stream Media -

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Source URL: www.trendminer-project.eu

Language: English - Date: 2012-11-09 09:41:12
16Call For Papers WWW2017 Semantics & Knowledge Track The last few years have seen the mainstream adoption of semantic/structured data by widely used services such as Google/Bing search, Cortana, and Google Assistant. Simu

Call For Papers WWW2017 Semantics & Knowledge Track The last few years have seen the mainstream adoption of semantic/structured data by widely used services such as Google/Bing search, Cortana, and Google Assistant. Simu

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Source URL: www.www2017.com.au

Language: English - Date: 2016-08-06 04:05:33
17Using Information Extraction Rules for Extending Domain Ontologies - Position Statement for IJCAI-2001 Workshop on Ontology Learning Michael Sintek, Markus Junker, Ludger van Elst, and Andreas Abecker German Research Cen

Using Information Extraction Rules for Extending Domain Ontologies - Position Statement for IJCAI-2001 Workshop on Ontology Learning Michael Sintek, Markus Junker, Ludger van Elst, and Andreas Abecker German Research Cen

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Source URL: www.dfki.uni-kl.de

Language: English - Date: 2001-05-30 07:12:53
18Natural Language Processing and Text Mining API  Enhancing your application with powerful text analysis components Getting a flexible cloud service for a wide variety of knowledge management tasks Capturing customer expe

Natural Language Processing and Text Mining API Enhancing your application with powerful text analysis components Getting a flexible cloud service for a wide variety of knowledge management tasks Capturing customer expe

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Source URL: esapi.intellexer.com

Language: English - Date: 2016-04-07 09:26:38
19Microsoft Word - TKDESIR2.doc

Microsoft Word - TKDESIR2.doc

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Source URL: wwwusers.di.uniroma1.it

Language: English - Date: 2006-09-18 05:31:35
20Book Title Book Editors IOS Press, 2003 1

Book Title Book Editors IOS Press, 2003 1

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Source URL: wwwusers.di.uniroma1.it

Language: English - Date: 2005-03-08 08:34:28