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Hits 1 – 12 of 12
1
SemEval-2010 Task 17: All-words Word Sense . . .
Eneko Agirre
;
Oier Lopez De Lacalle
;
Christiane Fellbaum
...
In: http://aclweb.org/anthology-new/W/W09/W09-2420.pdf (2009)
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2
Exploring feature set combinations for WSD
Eneko Agirre
;
Oier Lopez De Lacalle
;
David Martínez
In: http://ixa.si.ehu.es/Ixa/Argitalpenak/Artikuluak/1153322678/publikoak/oiersepln_camready.final.pdf (2006)
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3
Exploring feature set combinations for WSD
Eneko Agirre
;
Oier Lopez De Lacalle
;
David Martínez
In: http://www.sepln.org/revistaSEPLN/revista/37/35.pdf (2006)
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4
Clustering wordnet word senses
Eneko Agirre
;
Oier Lopez De Lacalle
In: http://ixa.si.ehu.es/Ixa/Argitalpenak/Artikuluak/1059533082/publikoak/agirre-lopez-clustering-ranlp-final.pdf (2003)
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5
IXA NLP Group University of the Basque Country
Eneko Agirre
;
David Martínez
;
Oier López De Lacalle
...
In: http://ixa.si.ehu.es/Ixa/Argitalpenak/Artikuluak/1149260582/publikoak/emnlp.pdf
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6
EHU-ALM: Similarity-Feature Based Approach for Student Response Analysis
Itziar Aldabe
;
Montse Maritxalar
;
Oier Lopez De Lacalle
In: https://www.cs.york.ac.uk/semeval-2013/accepted/19_Paper.pdf
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7
EHU-ALM: Similarity-Feature Based Approach for Student Response Analysis
Itziar Aldabe
;
Montse Maritxalar
;
Oier Lopez De Lacalle
In: http://www.aclweb.org/anthology/S/S13/S13-2097.pdf
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8
SemEval-2010 Task 17: All-words Word Sense . . .
Eneko Agirre
;
Oier Lopez De Lacalle
;
Christiane Fellbaum
;
Shu-kai Hsieh
;
Maurizio Tesconi
;
Monica Monachini
;
Piek Vossen
;
Roxanne Segers
In: http://ixa.si.ehu.es/Ixa/Argitalpenak/Artikuluak/1283775102/publikoak/semeval/
Abstract:
Domain portability and adaptation of NLP components and Word Sense Disambiguation systems present new challenges. The difficulties found by supervised systems to adapt might change the way we assess the strengths and weaknesses of supervised and knowledge-based WSD systems. Unfortunately, all existing evaluation datasets for specific domains are lexical-sample corpora. This task presented all-words datasets on the environment domain for WSD in four languages (Chinese, Dutch, English, Italian). 11 teams participated, with supervised and knowledge-based systems, mainly in the English dataset. The results show that in all languages the participants where able to beat the most frequent sense heuristic as estimated from general corpora. The most successful approaches used some sort of supervision in the form of hand-tagged examples from the domain.
URL:
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.303.1704
http://ixa.si.ehu.es/Ixa/Argitalpenak/Artikuluak/1283775102/publikoak/semeval/
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9
IXA NLP Group University of the Basque Country
Eneko Agirre
;
David Martínez
;
Oier López De Lacalle
...
In: http://www.aclweb.org/anthology-new/W/W06/W06-1669.pdf
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10
On the Use of Automatically Acquired Examples for All-Nouns Word Sense Disambiguation
David Martinez
;
Oier Lopez De Lacalle
;
Eneko Agirre
In: http://www.jair.org/media/2395/live-2395-4056-jair.pdf
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11
Publicly available topic signatures for all WordNet nominal senses
Eneko Agirre
;
Oier Lopez De Lacalle
In: http://ixa.si.ehu.es/Ixa/Argitalpenak/Artikuluak/1078831291/publikoak/topic_signatures_lrec.ps
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12
IXA NLP Group
Eneko Agirre
;
Oier Lopez De Lacalle
In: http://www.lrec-conf.org/proceedings/lrec2004/pdf/753.pdf
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