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Warner, A.J.: ¬The role of linguistic analysis in full-text retrieval (1994)
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- Language
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Liddy, E.D.: Natural language processing for information retrieval and knowledge discovery (1998)
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- Date
- 22. 9.1997 19:16:05
- Language
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- Visualizing subject access for 21st century information resources: Papers presented at the 1997 Clinic on Library Applications of Data Processing, 2-4 Mar 1997, Graduate School of Library and Information Science, University of Illinois at Urbana-Champaign. Ed.: P.A. Cochrane et al
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- Collection travaux et recherches; UL3
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Rahmstorf, G.: Concept structures for large vocabularies (1998)
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- Date
- 30.12.2001 19:01:22
- Language
- e
- Source
- Structures and relations in knowledge organization: Proceedings of the 5th International ISKO-Conference, Lille, 25.-29.8.1998. Ed.: W. Mustafa el Hadi et al
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Krause, J.: Principles of content analysis for information retrieval systems : an overview (1996)
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Vazov, N.: Identification des differentes structures temporelles dans des textes et leur rôles dans le raisonnement temporel (1999)
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- Collection travaux et recherches; UL3
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- Organisation des connaissances en vue de leur intégration dans les systèmes de représentation et de recherche d'information. Ed.: J. Maniez, et al
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Ghenima, M.: ¬A system of 'computer-aided diacritisation' using a lexical database of Arabic language (1998)
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- Language
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- Structures and relations in knowledge organization: Proceedings of the 5th International ISKO-Conference, Lille, 25.-29.8.1998. Ed.: W. Mustafa el Hadi et al
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Engerer, V.: Indexierungstheorie für Linguisten : zu einigen natürlichsprachlichen Zügen in künstlichen Indexsprachen (2014)
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- Source
- Dialekte, Konzepte, Kontakte. Ergebnisse des Arbeitstreffens der Gesellschaft für Sprache und Sprachen, GeSuS e.V., 31. Mai - 1. Juni 2013 in Freiburg/Breisgau. Hrsg.: V. Schönenberger et al
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- Series
- Collection travaux et recherches; UL3
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- Organisation des connaissances en vue de leur intégration dans les systèmes de représentation et de recherche d'information. Ed.: J. Maniez, et al
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Green, R.: Automated identification of frame semantic relational structures (2000)
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- Language
- e
- Source
- Dynamism and stability in knowledge organization: Proceedings of the 6th International ISKO-Conference, 10-13 July 2000, Toronto, Canada. Ed.: C. Beghtol et al
-
Wordhoard (o.J.)
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- Abstract
- WordHoard defines a multiword unit as a special type of collocate in which the component words comprise a meaningful phrase. For example, "Knight of the Round Table" is a meaningful multiword unit or phrase. WordHoard uses the notion of a pseudo-bigram to generalize the computation of bigram (two word) statistical measures to phrases (n-grams) longer than two words, and to allow comparisons of these measures for phrases with different word counts. WordHoard applies the localmaxs algorithm of Silva et al. to the pseudo-bigrams to identify potential compositional phrases that "stand out" in a text. WordHoard can also filter two and three word phrases using the word class filters suggested by Justeson and Katz.
- Language
- e
-
WordHoard: finding multiword units (20??)
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- Abstract
- WordHoard defines a multiword unit as a special type of collocate in which the component words comprise a meaningful phrase. For example, "Knight of the Round Table" is a meaningful multiword unit or phrase. WordHoard uses the notion of a pseudo-bigram to generalize the computation of bigram (two word) statistical measures to phrases (n-grams) longer than two words, and to allow comparisons of these measures for phrases with different word counts. WordHoard applies the localmaxs algorithm of Silva et al. to the pseudo-bigrams to identify potential compositional phrases that "stand out" in a text. WordHoard can also filter two and three word phrases using the word class filters suggested by Justeson and Katz.
- Language
- e
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He, Q.: ¬A study of the strength indexes in co-word analysis (2000)
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- Abstract
- Co-word analysis is a technique for detecting the knowledge structure of scientific literature and mapping the dynamics in a research field. It is used to count the co-occurrences of term pairs, compute the strength between term pairs, and map the research field by inserting terms and their linkages into a graphical structure according to the strength values. In previous co-word studies, there are two indexes used to measure the strength between term pairs in order to identify the major areas in a research field - the inclusion index (I) and the equivalence index (E). This study will conduct two co-word analysis experiments using the two indexes, respectively, and compare the results from the two experiments. The results show, due to the difference in their computation, index I is more likely to identify general subject areas in a research field while index E is more likely to identify subject areas at more specific levels
- Language
- e
- Source
- Dynamism and stability in knowledge organization: Proceedings of the 6th International ISKO-Conference, 10-13 July 2000, Toronto, Canada. Ed.: C. Beghtol et al
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Korman, D.Z.; Mack, E.; Jett, J.; Renear, A.H.: Defining textual entailment (2018)
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- Abstract
- Textual entailment is a relationship that obtains between fragments of text when one fragment in some sense implies the other fragment. The automation of textual entailment recognition supports a wide variety of text-based tasks, including information retrieval, information extraction, question answering, text summarization, and machine translation. Much ingenuity has been devoted to developing algorithms for identifying textual entailments, but relatively little to saying what textual entailment actually is. This article is a review of the logical and philosophical issues involved in providing an adequate definition of textual entailment. We show that many natural definitions of textual entailment are refuted by counterexamples, including the most widely cited definition of Dagan et al. We then articulate and defend the following revised definition: T textually entails H?=?df typically, a human reading T would be justified in inferring the proposition expressed by H from the proposition expressed by T. We also show that textual entailment is context-sensitive, nontransitive, and nonmonotonic.
- Language
- e
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Rahmstorf, G.: Information retrieval using conceptual representations of phrases (1994)
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- Language
- e
- Source
- Information systems and data analysis: prospects - foundations - applications. Proc. of the 17th Annual Conference of the Gesellschaft für Klassifikation, Kaiserslautern, March 3-5, 1993. Ed.: H.-H. Bock et al
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Ingenerf, J.: Disambiguating lexical meaning : conceptual meta-modelling as a means of controlling semantic language analysis (1994)
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- Language
- e
- Source
- Information systems and data analysis: prospects - foundations - applications. Proc. of the 17th Annual Conference of the Gesellschaft für Klassifikation, Kaiserslautern, March 3-5, 1993. Ed.: H.-H. Bock et al
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Mustafa el Hadi, W.: Automatic term recognition & extraction tools : examining the new interfaces and their effective communication role in LSP discourse (1998)
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- Language
- e
- Source
- Structures and relations in knowledge organization: Proceedings of the 5th International ISKO-Conference, Lille, 25.-29.8.1998. Ed.: W. Mustafa el Hadi et al
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Mustafa el Hadi, W.: Dynamics of the linguistic paradigm in information retrieval (2000)
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- Language
- e
- Source
- Dynamism and stability in knowledge organization: Proceedings of the 6th International ISKO-Conference, 10-13 July 2000, Toronto, Canada. Ed.: C. Beghtol et al
-
Nait-Baha, L.; Jackiewicz, A.; Djioua, B.; Laublet, P.: Query reformulation for information retrieval on the Web using the point of view methodology : preliminary results (2001)
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- Abstract
- The work we are presenting is devoted to the information collected on the WWW. By the term collected we mean the whole process of retrieving, extracting and presenting results to the user. This research is part of the RAP (Research, Analyze, Propose) project in which we propose to combine two methods: (i) query reformulation using linguistic markers according to a given point of view; and (ii) text semantic analysis by means of contextual exploration results (Descles, 1991). The general project architecture describing the interactions between the users, the RAP system and the WWW search engines is presented in Nait-Baha et al. (1998). We will focus this paper on showing how we use linguistic markers to reformulate the queries according to a given point of view
- Language
- e
-
Zadeh, B.Q.; Handschuh, S.: ¬The ACL RD-TEC : a dataset for benchmarking terminology extraction and classification in computational linguistics (2014)
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- Language
- e
- Source
- Proceedings of the 4th International Workshop on Computational Terminology, Dublin, Ireland, August 23 2014. COLING 2014. Eds.: Patrick Drouin et al., Dublin, Ireland, 2014-08-23 [https://www.deri.ie/sites/default/files/publications/the-acl-rd-tec.pdf]
