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Indexation d'articles scientifiques Présentation et résultats du défi fouille de textes DEFT 2016
In: Atelier DEFT 2016 ; https://hal.archives-ouvertes.fr/hal-01693785 ; Atelier DEFT 2016, Jul 2016, Paris, France (2016)
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2
Automatische Extraktion semantischer Relationen für die Ontologieerstellung aus Textgliederungsstrukturen : ein SBCG-Ansatz
Hebborn, Mariana. - Kassel : Kassel Univ. Press, 2013
BLLDB
UB Frankfurt Linguistik
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3
Information density in French and Dagara folktales: A corpus-based analysis of linguistic marking and cognitive processing
Mills, Colin. - 2013
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4
Specific ontologies for semantic indexing from natural language properties
In: EJDE - Electronic Journal of Digital Enterprise (ISSN: 1776-2960) ; https://hal.inria.fr/hal-00782918 ; EJDE - Electronic Journal of Digital Enterprise (ISSN: 1776-2960), Academic e-Journal eJ.D.E. (www.scientifics.fr/ejde), 2012, Evaluating Information Systems and Economic Intelligence, 1 (1776-2960 R291 (ISSN)), pp.1-8 (2012)
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5
Towards a new generation translation memory: a paraphrase recognition study for translation memory system development
In: BULAG. - Besançon : Presses Univ. de Franche-Comté 36 (2011), 155-175
BLLDB
OLC Linguistik
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6
Natural ontology representation based on NP's properties and semantic relations
In: Information Systems and Economic Intelligence ; https://hal.inria.fr/inria-00580171 ; Information Systems and Economic Intelligence, IGA Maroc, Feb 2011, Marrakech, Morocco. pp.315-321 (2011)
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7
Thesaurus based automatic keyphrase indexing
In: http://www.cs.waikato.ac.nz/~ihw/papers/06-OM-IHW-Thesaurus-auto-keyphrase.pdf (2006)
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8
An effective approach to document retrieval via utilizing wordnet and recognizing phrases
In: http://www.cs.binghamton.edu/~meng/pub.d/p266-liu.pdf (2004)
Abstract: Noun phrases in queries are identified and classified into four types: proper names, dictionary phrases, simple phrases and complex phrases. A document has a phrase if all content words in the phrase are within a window of a certain size. The window sizes for different types of phrases are different and are determined using a decision tree. Phrases are more important than individual terms. Consequently, documents in response to a query are ranked with matching phrases given a higher priority. We utilize WordNet to disambiguate word senses of query terms. Whenever the sense of a query term is determined, its synonyms, hyponyms, words from its definition and its compound words are considered for possible additions to the query. Experimental results show that our approach yields between 23 % and 31% improvements over the best-known results on the TREC 9, 10 and 12 collections for short (title only) queries, without using Web data.
Keyword: Content Analysis and Indexing – Dictionaries; Experimentation Keywords Information Retrieval; Performance; Phrase; Thesauruses. General Terms Algorithms; Word Sense Disambiguation; WordNet
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.94.959
http://www.cs.binghamton.edu/~meng/pub.d/p266-liu.pdf
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9
An effective approach to document retrieval via utilizing wordnet and recognizing phrases
In: http://www.cs.uic.edu/~sliu/p096-liu.pdf (2004)
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10
Extraction et impact des connaissances sur les performances des systèmes de recherche d'information
Haddad, Mohamed Hatem. - : HAL CCSD, 2002
In: https://tel.archives-ouvertes.fr/tel-00004459 ; domain_stic.gest. Université Joseph-Fourier - Grenoble I, 2002. Français (2002)
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11
Meaningful term extraction and discriminative term selection in text categorization via unknown-word methodology
In: http://www.cs.toronto.edu/~gh/Courses/2528/Readings/2002f/Lai+Wu.pdf (2002)
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12
The Effect of Syntactic Phrase Indexing on Retrieval Performance for Dutch Texts
In: http://www-uilots.let.uu.nl/~uplift/riao.ps (1997)
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13
The Effect of Syntactic Phrase Indexing on Retrieval Performance for Dutch Texts
In: http://www.ai.mit.edu/people/jimmylin/papers/Pohlmann97.pdf (1997)
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14
The Impact of a Machine-Readable Lexicon on a Principle Based Parser
In: DTIC AND NTIS (1996)
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15
NLP Track at TREC-5
In: DTIC (1996)
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16
Natural Language Text Segmentation Techniques Applied to the Automatic Compilation of Printed Subject Indexes and for Online Database Access
In: DTIC AND NTIS (1983)
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