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Towards combined semantic and lexical scores based on a new representation of textual data to extract experimental data from scientific publications
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In: ISSN: 1751-5858 ; EISSN: 1751-5866 ; International Journal of Intelligent Information and Database Systems ; https://hal.inrae.fr/hal-03616243 ; International Journal of Intelligent Information and Database Systems, Inderscience, 2022, 15 (1), pp.78. ⟨10.1504/IJIIDS.2022.120146⟩ (2022)
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Multimodal Social Book Search
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In: CLEF 2015 Working Notes ; 6th Conference on Multilingual and Multimodal Information Access Evaluation (CLEF 2015) ; https://hal.archives-ouvertes.fr/hal-01360875 ; 6th Conference on Multilingual and Multimodal Information Access Evaluation (CLEF 2015), Sep 2015, Toulouse, France. pp. 1-9 (2015)
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Context-based information and trust analysis ...
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Evrim, Vesile. - : University of Southern California Digital Library (USC.DL), 2015
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BJUT at TREC 2015 Microblog Track: Real Time Filtering Using Knowledge Base
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Crowdsourcing construction of information retrieval test collections for conversational speech
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Applying query formulation and fusion techniques for cross language news story search
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In: Arora, Piyush orcid:0000-0002-4261-2860 , Foster, Jennifer orcid:0000-0002-7789-4853 and Jones, Gareth J.F. orcid:0000-0003-2923-8365 (2013) Applying query formulation and fusion techniques for cross language news story search. In: 5th Forum on Information Retrieval Evaluation (FIRE'13), 4 -6 Dec 2013, New Delhi, India. ISBN 978-1-4503- 2830-2 (2013)
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Multidimensional Relevance: Prioritized Aggregation in a Personalized Information Retrieval Setting
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In: ISSN: 0306-4573 ; Information Processing and Management ; https://hal.archives-ouvertes.fr/hal-01330089 ; Information Processing and Management, Elsevier, 2012, 48 (2), pp.340-357. ⟨10.1016/j.ipm.2011.07.001⟩ (2012)
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Cross-lingual topical relevance models
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In: Ganguly, Debasis orcid:0000-0003-0603-4191 , Leveling, Johannes orcid:0000-0003-0603-4191 and Jones, Gareth J.F. orcid:0000-0003-2923-8365 (2012) Cross-lingual topical relevance models. In: 24th International Conference on Computational Linguistics (COLING 2012), 8-15 Dec 2012, Mumbai, India. (2012)
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Automatic refinement of patent queries using concept importance predictors
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In: http://www.inf.usi.ch/phd/keikha/papers/fp099-mahdabi.pdf (2012)
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Towards evaluation of personalized and collaborative information retrieval
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In: Ganguly, Debasis orcid:0000-0003-0050-7138 , Leveling, Johannes orcid:0000-0003-0603-4191 , Li, Wei B. orcid:0000-0001-7347-3501 and Jones, Gareth J.F. orcid:0000-0003-2923-8365 (2011) Towards evaluation of personalized and collaborative information retrieval. In: The First Workshop on Personalised Multilingual Hypertext Retrieval (PMHR 2011), 6th June 2011, Eindhoven, The Netherlands. (2011)
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V.: Towards multilingual user models for personalized multilingual information retrieval
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In: http://www.cngl.ie/drupal/sites/default/files/papers3/ghorab_pmhr_2011.pdf (2011)
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| 14 |
under review
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In: http://eprints.qut.edu.au/74122/1/74122.pdf (2011)
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Towards Multilingual User Models for Personalized Multilingual Information Retrieval ; 1st Workshop on Personalised Multilingual Hypertext Retrieval (PMHR 2011)
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Towards natural question guided search
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In: http://www.mathcs.emory.edu/~kotov/papers/kotov-www10.pdf (2010)
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A Novel Framework for Related Entities Finding: ICTNET at TREC 2009 Entity Track
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In: DTIC (2009)
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Abstract:
This paper addresses the problem of related entity finding, which was proposed in trec 2009. The overall aim of related entity finding (REF) is to perform entity-related search on Web data, which address common information needs that are not that well modeled as ad hoc document search. In this paper, a novel framework was proposed based on a probabilistic model for related entity finding in a Web collection. This model consists of two parts. One is the probability indicating the relation between the source entity and the candidate entities. The other is the probability indicating the relevance between the candidate entities and the topic. Using ClueWeb09 dataset, the experimental evaluations show the effectiveness of our REF framework. ; Presented at the Text REtrieval Conference (TREC 2009, 18th) held in Gaithersburg, Maryland on 17-20 November 2009. Published in the Proceedings of the Text REtrieval Conference (TREC 2009, 18th), 2009. The conference was co-sponsored by the National Institute of Standards and Technology (NIST), the Defense Advanced Research Projects Agency (DARPA), and the Advanced Research and Development Activity (ARDA).
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Keyword:
*INFORMATION RETRIEVAL; *INFORMATION SCIENCES; *INTERNET; *REF(RELATED ENTITY FINDING); *WEB(INTERNET); CHINA; COLLECTION; Computer Programming and Software; Equipment and Methods; FOREIGN REPORTS; ICTNET(INSTITUTE OF COMPUTING TECHNOLOGY NETWORK); Information Science; INTERNET BROWSERS; Linguistics; MATHEMATICAL MODELS; PROBABILITY; QUERIES(INFORMATION RETRIEVAL); RELEVANCE(INFORMATION RETRIEVAL); REPRINTS; SOCIAL COMMUNICATION; SYMPOSIA; TEST AND EVALUATION; Test Facilities
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URL: http://www.dtic.mil/docs/citations/ADA517725
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA517725
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Relevance Feedback based on Constrained Clustering: FDU at TREC 09
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In: DTIC (2009)
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