21![Will feature Invited Talks, Technical Papers, Posters, and Demos on a range of topics including: Knowledge Engineering & modelling methodologies Knowledge Engineering & the Semantic Web Mixed-initiative planning & decisi Will feature Invited Talks, Technical Papers, Posters, and Demos on a range of topics including: Knowledge Engineering & modelling methodologies Knowledge Engineering & the Semantic Web Mixed-initiative planning & decisi](https://www.pdfsearch.io/img/61dbbcbb7c2799928be5e0334f58e12e.jpg) | Add to Reading ListSource URL: www.k-cap.orgLanguage: English - Date: 2006-12-04 09:11:15
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22![ExB Themis: Extensive Feature Extraction from Word Alignments for Semantic Textual Similarity Christian H¨anig, Robert Remus, Xose De La Puente ExB Research & Development GmbH SeeburgstrLeipzig, Germany ExB Themis: Extensive Feature Extraction from Word Alignments for Semantic Textual Similarity Christian H¨anig, Robert Remus, Xose De La Puente ExB Research & Development GmbH SeeburgstrLeipzig, Germany](https://www.pdfsearch.io/img/dd2d4ae4434c588d51ff58001d96de3a.jpg) | Add to Reading ListSource URL: alt.qcri.orgLanguage: English - Date: 2015-05-06 14:57:30
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23![Enhancing Human Action Recognition through Spatio-temporal Feature Learning and Semantic Rules Karinne Ramirez-Amaro1 , Eun-Sol Kim2 , Jiseob Kim2 , Byoung-Tak Zhang2 , Michael Beetz3 and Gordon Cheng1 Abstract— In thi Enhancing Human Action Recognition through Spatio-temporal Feature Learning and Semantic Rules Karinne Ramirez-Amaro1 , Eun-Sol Kim2 , Jiseob Kim2 , Byoung-Tak Zhang2 , Michael Beetz3 and Gordon Cheng1 Abstract— In thi](https://www.pdfsearch.io/img/338809de45ad5fc704362ddd156585f3.jpg) | Add to Reading ListSource URL: mediatum.ub.tum.deLanguage: English - Date: 2014-04-11 06:14:44
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24![UniMelb NLP-CORE: Integrating predictions from multiple domains and feature sets for estimating semantic textual similarity Spandana Gella,♣ Bahar Salehi,♠♣ Marco Lui,♠♣ Karl Grieser,♣ Paul Cook,♣ and Timot UniMelb NLP-CORE: Integrating predictions from multiple domains and feature sets for estimating semantic textual similarity Spandana Gella,♣ Bahar Salehi,♠♣ Marco Lui,♠♣ Karl Grieser,♣ Paul Cook,♣ and Timot](https://www.pdfsearch.io/img/1929b4843764a3df8dae0ae4fee514cb.jpg) | Add to Reading ListSource URL: people.eng.unimelb.edu.auLanguage: English - Date: 2013-05-26 11:43:55
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25![TopQuadrant Launches TopBraid Suite 5.0 Includes AutoClassifier feature to automatically tag content with vocabulary terms RALEIGH, NC – July 28, TopQuadrant™, a leading enterprise metadata and semantic data i TopQuadrant Launches TopBraid Suite 5.0 Includes AutoClassifier feature to automatically tag content with vocabulary terms RALEIGH, NC – July 28, TopQuadrant™, a leading enterprise metadata and semantic data i](https://www.pdfsearch.io/img/42e921db7976b1e0af5efdc1f8a39fc3.jpg) | Add to Reading ListSource URL: www.topquadrant.comLanguage: English - Date: 2015-07-28 14:15:36
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26![Semantic Representations of Syntactically Marked Discourse Status in Crosslinguistic Perspective Emily M. Bender and David Goss-Grubbs University of Washington Department of Linguistics Box Semantic Representations of Syntactically Marked Discourse Status in Crosslinguistic Perspective Emily M. Bender and David Goss-Grubbs University of Washington Department of Linguistics Box](https://www.pdfsearch.io/img/6f36c471b8616ddcac047040eda0af2a.jpg) | Add to Reading ListSource URL: faculty.washington.eduLanguage: English - Date: 2008-08-05 15:08:33
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27![UniMelb NLP-CORE: Integrating predictions from multiple domains and feature sets for estimating semantic textual similarity Spandana Gella,♣ Bahar Salehi,♠♣ Marco Lui,♠♣ Karl Grieser,♣ Paul Cook,♣ and Timot UniMelb NLP-CORE: Integrating predictions from multiple domains and feature sets for estimating semantic textual similarity Spandana Gella,♣ Bahar Salehi,♠♣ Marco Lui,♠♣ Karl Grieser,♣ Paul Cook,♣ and Timot](https://www.pdfsearch.io/img/3225e971c748a84091f0718d87747959.jpg) | Add to Reading ListSource URL: cs.unb.caLanguage: English - Date: 2014-07-10 15:53:20
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28![A Survey of Feature Location Techniques Julia Rubin and Marsha Chechik Abstract Feature location techniques aim at locating software artifacts that implement a specific program functionality, a.k.a. a feature. These tech A Survey of Feature Location Techniques Julia Rubin and Marsha Chechik Abstract Feature location techniques aim at locating software artifacts that implement a specific program functionality, a.k.a. a feature. These tech](https://www.pdfsearch.io/img/fb78b61e23e83f46840bf0225f89e454.jpg) | Add to Reading ListSource URL: people.csail.mit.eduLanguage: English - Date: 2014-11-01 02:00:44
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29![Semantic Enablement for Spatial Data Infrastructures Krzysztof Janowicz Department of Geography, The Pennsylvania State University, USA Sven Schade European Commission – Joint Research Centre Semantic Enablement for Spatial Data Infrastructures Krzysztof Janowicz Department of Geography, The Pennsylvania State University, USA Sven Schade European Commission – Joint Research Centre](https://www.pdfsearch.io/img/aa8d1e0acfc5142a0b3953db3285b39f.jpg) | Add to Reading ListSource URL: geog.ucsb.eduLanguage: English - Date: 2011-07-21 01:37:00
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30![Semantic Feature Extraction using Mpeg Macro-block Classification Fabrice Souvannavong, Bernard Merialdo and Benoˆıt Huet D´epartement Communications Multim´edias Institut Eur´ecom 2229, route des crˆetes Semantic Feature Extraction using Mpeg Macro-block Classification Fabrice Souvannavong, Bernard Merialdo and Benoˆıt Huet D´epartement Communications Multim´edias Institut Eur´ecom 2229, route des crˆetes](https://www.pdfsearch.io/img/5d3ce5f861413811ddb63b6f690c3f90.jpg) | Add to Reading ListSource URL: trec.nist.govLanguage: English |
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