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1
SemEval-2010 Task 17: All-words Word Sense . . .
In: http://aclweb.org/anthology-new/W/W09/W09-2420.pdf (2009)
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2
Exploring feature set combinations for WSD
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
In: http://www.sepln.org/revistaSEPLN/revista/37/35.pdf (2006)
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4
Clustering wordnet word senses
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
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
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
In: http://www.aclweb.org/anthology/S/S13/S13-2097.pdf
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8
SemEval-2010 Task 17: All-words Word Sense . . .
In: http://ixa.si.ehu.es/Ixa/Argitalpenak/Artikuluak/1283775102/publikoak/semeval/
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9
IXA NLP Group University of the Basque Country
In: http://www.aclweb.org/anthology-new/W/W06/W06-1669.pdf
Abstract: This paper explores the use of two graph algorithms for unsupervised induction and tagging of nominal word senses based on corpora. Our main contribution is the optimization of the free parameters of those algorithms and its evaluation against publicly available gold standards. We present a thorough evaluation comprising supervised and unsupervised modes, and both lexical-sample and all-words tasks. The results show that, in spite of the information loss inherent to mapping the induced senses to the gold-standard, the optimization of parameters based on a small sample of nouns carries over to all nouns, performing close to supervised systems in the lexical sample task and yielding the second-best WSD systems for the Senseval-3 all-words task. 1
URL: http://www.aclweb.org/anthology-new/W/W06/W06-1669.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.187.6499
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10
On the Use of Automatically Acquired Examples for All-Nouns Word Sense Disambiguation
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
In: http://ixa.si.ehu.es/Ixa/Argitalpenak/Artikuluak/1078831291/publikoak/topic_signatures_lrec.ps
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12
IXA NLP Group
In: http://www.lrec-conf.org/proceedings/lrec2004/pdf/753.pdf
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