Jacquemin, C. and Tzoukermann, E. 1999. Nlp For Term Variant Extraction: Synergy Between Morphology, Lexicon, And Syntax. In T. Strzalkowski, Ed., Natural Language Processing Information Retrieval, 25-74. Boston, MA: Kluwer. Home/Search Document Details and Download
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....with the main verb of the clause; and verb complement, relating the main verb of the clause with the head of a complement. The kernel of the grammar used by this shallow parser is inferred from the basic trees corresponding to noun phrases and their syntactic and morpho syntactic variants [11, 17]: Syntactic variants result from the inflection of individual words and from modifying the syntactic structure of the original noun phrase by means of: Synapsy: it corresponds to a change of preposition or the addition or removal of a determiner. una ca da de ventas (a drop in sales) ....
Christian Jacquemin and Evelyne Tzoukermann. NLP for term variant extraction: synergy between morphology, lexicon and syntax. In Tomek Strzalkowski, editor, Natural Language Information Retrieval, volume 7 of Text, Speech and Language Technology, pages 25--74. Kluwer Academic Publishers, Dordrecht /Boston/London, 1999.
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....section 3, it is essential to have the text previously analysed (or at least lemmatised and tagged) KOSKENNIEMI 1996] shows that for Finnish, a language with very rich morphology, the use of an inflectional analyser monotonically improves recall. Also for Dutch [KRAAIJ POHLMANN 1996] and French [JACQUEMIN TZOUKERMANN 1999] inflectional and derivational analysis has proved to be efficient to improve the quality in textual IR. 4.1 Architecture of the term extracting tool The IXA research group (http: ixa.si.ehu.es) has already developed a set of tools for Basque, which will be used in this project for the basic ....
Jacquemin, C., Tzoukermann, E., "NLP for term variant extraction: synergy between morphology, lexicon and syntax", in: Tomek Strzalkowski (Ed.): Natural Language Information Retrieval, (Dordrecht: Kluwer Academy Publishers) 1999: 2574.
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....weights. Phoneme strings highly likely to have originated from stop words or functional morphology are given low weights to minimize their contribution to the calculation of the distance between the document and the user query. Stop word removal and stemming might also turn out to be unnecessary. [9] and [12] suggest that the benefits of stemming for IR is highly language dependent. 14] concludes that when document classification is implemented with a Support Vector Machine, known for its ability to deal with high dimensional data, stemming and the removal of stop words is not necessary. ....
C. Jacquemin and E. Tzoukermann, NLP for term variant extraction: synergy between morphology, lexicon and syntax, In T. Strzalkowski, ed. Natural Langue Information Retrieval Kluwer, Dordrecht 1999.
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Jacquemin, C. and Tzoukermann, E. 1999. Nlp For Term Variant Extraction: Synergy Between Morphology, Lexicon, And Syntax. In T. Strzalkowski, Ed., Natural Language Processing Information Retrieval, 25-74. Boston, MA: Kluwer.
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Christian Jacquemin and Evelyne Tzoukermann. NLP for term variant extraction: synergy between morphology, lexicon and syntax. In Tomek Strzalkowski, editor, Natural Language Information Retrieval, volume 7 of Text, Speech and Language Technology, pages 25-74. Kluwer Academic Publishers, Dordrecht/Boston/London, 1999.
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C. Jacquemin and E. Tzoukermann. NLP for term variant extraction: synergy between morphology, lexicon and syntax. In T. Strzalkowski, editor, Natural Language Information Retrieval, pages 25-74. Kluwer Academic, Dordrecht, 1999.
COLE experiments at CLEF 2003 - Spanish Monolingual Track - Vilares, Alonso, Ribadas (2003) (Correct)
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Christian Jacquemin and Evelyne Tzoukermann. NLP for term variant extraction: synergy between morphology, lexicon and syntax. In Tomek Strzalkowski, editor, Natural Language Information Retrieval, volume 7 of Text, Speech and Language Technology, pages 25--74. Kluwer Academic Publishers, Dordrecht /Boston/London, 1999.
COLE experiments at CLEF 2002 Spanish Monolingual Track - Vilares, Alonso, Ribadas.. (2003) (Correct)
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Christian Jacquemin and Evelyne Tzoukermann. NLP for term variant extraction: synergy between morphology, lexicon and syntax. In Tomek Strzalkowski, editor, Natural Language Information Retrieval, volume 7 of Text, Speech and Language Technology, pages 25--74. Kluwer Academic Publishers, Dordrecht/Boston/London, 1999.
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C. Jacquemin and E. Tzoukermann. NLP for term variant extraction: synergy between morphology, lexicon and syntax. In T. Strzalkowski, editor, Natural Language Information Retrieval, pages 25--74. Kluwer Academic Publishers, Dordrecht /Boston/London, 1999.
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Christian Jacquemin and Evelyne Tzoukermann. NLP for term variant extraction: synergy between morphology, lexicon and syntax. In Tomek Strzalkowski, editor, Natural Language Information Retrieval, volume 7 of Text, Speech and Language Technology, pages 25--74. Kluwer Academic Publishers, Dordrecht/Boston/London, 1999.
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C. Jacquemin and E. Tzoukermann. NLP for term variant extraction: synergy between morphology, lexicon and syntax. In T. Strzalkowski, editor, Natural Language Information Retrieval, volume 7 of Text, Speech and Language Technology, pages 25--74. Kluwer Academic Publishers, Dordrecht /Boston/London, 1999.
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Jacquemin C and Tzoukermann E. NLP for term variant extraction: Synergy between morphology, lexicon, and syntax. In: Strzalkowski T, ed, Natural Language Processing and Information Retrieval. Kluwer, Boston, Mass, 1997.
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Chris Jacquemin and Evelyn Tzoukermann "NLP for term variant extraction: Synergy between Morphology, Lexicon and Syntax" In Strzalkowski (1997).
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