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1
Challenging Issues of Automatic Summarization: Relevance Detection and Quality-based Evaluation
In: http://www.informatica.si/PDF/34-1/03_Lloret%20-%20Challenging%20Issues%20of%20Automatic%20Summarization.pdf (2009)
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2
The DLSIUAES team’s participation in the tac 2008 tracks
In: http://www.nist.gov/tac/publications/2008/participant.papers/DLSIUAES.proceedings.pdf (2008)
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3
A Maximum Entropy-based Word Sense Disambiguation System
In: http://acl.ldc.upenn.edu/C/C02/C02-1115.pdf (2002)
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4
Word sense vs. word domain disambiguation: a maximum entropy approach
In: http://www.dlsi.ua.es/~armando/Publicaciones/TSD2002cr.pdf (2002)
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5
An Algorithm for Anaphora Resolution in Spanish Texts
In: http://acl.ldc.upenn.edu/J/J01/J01-4005.pdf (2001)
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6
An algorithm for anaphora resolution in Spanish texts
In: http://www.dlsi.ua.es/~mpalomar/p545_s.pdf (2001)
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7
Empirical study of the anaphoric accessibility space in Spanish dialogues
In: http://gplsi.dlsi.ua.es/gplsi/articulos/a2000/GOTALOG00_pat.ps (2000)
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8
Evaluation of pronoun resolution algorithm for Spanish dialogues
In: http://gplsi.dlsi.ua.es/gplsi/articulos/a1999/vextal99.pdf (1999)
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9
Information Systems
In: http://www.lsi.upc.edu/~nlp/papers/montoyo01.pdf
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10
A Lexical–Semantic Approach to AVE
In: http://clef.isti.cnr.it/2008/working_notes/ferrandez-paperCLEF2008.pdf
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11
A Semantic-less Approach for the Textual Entailment Recognition Task
In: http://qallme.fbk.eu/Publications/ranlpTE07.pdf
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12
2007b. DLSITE-1: Lexical Analysis for Solving Textual Entailment Recognition
In: http://rua.ua.es/dspace/bitstream/10045/3498/3/camera-ready_paper33_ofe.pdf
Abstract: Abstract. This paper discusses the recognition of textual entailment in a text-hypothesis pair by applying a wide variety of lexical measures. We consider that the entailment phenomenon can be tackled from three general levels: lexical, syntactic and semantic. The main goals of this research are to deal with this phenomenon from a lexical point of view, and achieve high results considering only such kind of knowledge. To accomplish this, the information provided by the lexical measures is used as a set of features for a Support Vector Machine which will decide if the entailment relation is produced. A study of the most relevant features and a comparison with the best state-of-the-art textual entailment systems is exposed throughout the paper. Finally, the system has been evaluated using the Second PASCAL Recognising Textual Entailment Challenge data and evaluation methodology, obtaining an accuracy rate of 61.88%. 1
URL: http://rua.ua.es/dspace/bitstream/10045/3498/3/camera-ready_paper33_ofe.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.516.2083
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13
A Perspective-Based Approach for Solving Textual Entailment Recognition
In: http://acl.ldc.upenn.edu/w/w07/W07-1411.pdf
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14
2004. Automatic extraction of syntactic semantic patterns for multilingual resources
In: http://www.lrec-conf.org/proceedings/lrec2004/pdf/532.pdf
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15
Computational Approach to Anaphora Resolution in Spanish Dialogues
In: http://www.cs.washington.edu/research/jair/volume15/palomar01a.ps
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16
Alicante University at TAC 2009: Experiments in RTE
In: http://www.nist.gov/tac/publications/2009/participant.papers/DLSIUAES.proceedings.pdf
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17
Method for WordNet Enrichment using WSD
In: http://www.lsi.upc.es/~nlp/papers/tsd01-mpr.ps.gz
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18
WordNet Enrichment with Classification Systems
In: http://www.seas.smu.edu/~rada/mwnw/papers/WNW-NAACL-202.pdf
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19
The contribution of the University of Alicante to AVE 2007
In: http://www.clef-campaign.org/2007/working_notes/ferrandezclef2007.pdf
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20
WordNet Enrichment with Classification Systems
In: http://www.lsi.upc.es/~nlp/papers/naacl01-mpr.ps.gz
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