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1
An Evaluation of Linguistically-motivated Indexing Schemes
In: http://www.cs.kun.nl/~avgerino/POS.ps (2000)
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2
An Evaluation of Linguistically-motivated Indexing Schemes
In: http://irsg.eu.org/irsg2000online/papers/source/arampatzis.ps.gz (2000)
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3
Linguistically-motivated Information Retrieval
In: http://www.cs.kun.nl/~avgerino/encyclopTR.ps.Z (2000)
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4
Linguistically Motivated Information Retrieval
In: http://www.cs.kun.nl/is/persons/avgerino/Avi_Arampatzis/publications/postscript/encyclopTR.ps (2000)
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5
Text Filtering using Linguistically-Motivated Indexing Terms
In: http://www.cs.kun.nl/~avgerino/TFuLMIT.ps.Z (1999)
Abstract: In this article, we describe a number of text filtering experiments based on indexing terms other than simple keywords. These experiments were conducted as a first step of validating our phrase-based retrieval model. The problem is important but not new. What is new in this approach is the variety of evaluated linguistically-motivated indexing schemes. This issue applies to Information Retrieval and is important since it should help to overcome well-known difficulties raised by non-linguistic text simplification techniques such as stemming or stop-word deletion. Our approach in the selection of indexing terms was based on a part-of-speech tagger and shallow parsing. The evaluated indexing terms include keywords, nouns, verbs, adverbs, adjectives, adjacent word-pairs and head-modifier pairs. Furthermore, the effect of lemmatizing terms was investigated. Evaluation was done with three utility-based measures and average set precision. We managed to obtain experimental evidence that our phrase-based retrieval model.
Keyword: Binary Terms; Indexing; Lemmatization; Natural Language Processing; Rocchio; Text-Filtering
URL: http://www.cs.kun.nl/~avgerino/TFuLMIT.ps.Z
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.50.3056
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6
Text Filtering using Linguistically-Motivated Indexing Terms
In: http://www.cs.kun.nl/is/persons/avgerino/sigir99.ps.Z (1999)
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7
INdex Navigator for Searching and Exploring the WWW
In: http://www.cs.kun.nl/research//reports/full/CSI-R9917.ps.gz (1999)
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8
Linguistically-motivated Information Retrieval
In: http://www.cs.kun.nl/research//reports/full/CSI-R9918.ps.gz (1999)
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9
Boolean Index Expressions for Information Retrieval
In: ftp://ftp.cs.kun.nl/pub/SoftwEng.InfSyst/articles/Boolean.ps.Z (1998)
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10
Information Disclosure in Evolving Information Systems: Taking a Shot at a Moving Target
In: http://www.cs.kun.nl/~erikp/pdf/ELISA-D.pdf (1998)
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11
Matching Index Expressions for Information Retrieval
In: ftp://ftp.cs.kun.nl/pub/SoftwEng.InfSyst/articles/Matching.ps.Z (1998)
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12
Linguistic Variation in Information Retrieval and Filtering
In: http://www.cs.kun.nl/is/persons/avgerino/PPP.ps.Z (1997)
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13
Exploring Fact Verbalisations for Conceptual Query Formulation
In: http://www.icis.qut.edu.au/~arthur/articles/Verbalisation.ps.Z (1997)
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14
Syntactical Analysis for Text Filtering
In: ftp://ftp.cs.kun.nl/pub/SoftwEng.InfSyst/articles/SyntAna.ps.Z (1997)
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15
Cognitive Requirements for Natural Language Based Conceptual Modeling
In: ftp://ftp.cs.kun.nl/pub/SoftwEng.InfSyst/articles/CogNL.ps.Z (1996)
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16
Paraphrasing as a Technique to Support Object-Oriented Analysis
In: ftp://ftp.cs.kun.nl/pub/CSI/SoftwEng.InfSyst/articles/OOAParaphr.ps.Z (1996)
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17
Grammar Based Information Modelling
In: ftp://ftp.cs.kun.nl/pub/SoftwEng.InfSyst/articles/ORMGrammar.ps.Z (1994)
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