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1
Semantic Data Set Construction from Human Clustering and Spatial Arrangement
In: Computational Linguistics, Vol 47, Iss 1, Pp 69-116 (2021) (2021)
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2
Word sense disambig.
In: http://wing.comp.nus.edu.sg/~antho/J/J13/J13-3003.pdf (2012)
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3
Distributional similarity for chinese: Exploiting characters and radicals
In: http://downloads.hindawi.com/journals/mpe/2012/347257.pdf (2012)
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4
GDEX for Slovene
In: http://www.dianamccarthy.co.uk/files/Kosemetal-paper.pdf (2011)
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5
Dynamic and Static Prototype Vectors for Semantic Composition
In: http://sivareddy.in/papers/ijcnlp2011dynamic.pdf (2011)
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6
Cross Lingual Lexical Substitution
In: http://lit.csci.unt.edu/DOCS/task2cllsdocumentation.pdf (2009)
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7
Semeval-2010 task 2: Crosslingual lexical substitution
In: http://aclweb.org/anthology-new/W/W09/W09-2412.pdf (2009)
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8
Investigations on word senses and word usages
In: http://aclweb.org/anthology-new/P/P09/P09-1002.pdf (2009)
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9
The English lexical substitution task
In: http://www.dsi.uniroma1.it/~navigli/pubs/LRE_2009_McCarthy_Navigli.pdf (2009)
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10
Semeval-2010 task 2: Crosslingual lexical substitution
In: http://www.dianamccarthy.co.uk/papers/SEW09.pdf (2009)
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11
Investigations on word senses and word usages
In: http://www.dianamccarthy.co.uk/papers/erk_mccarthy_gaylord_09.pdf (2009)
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12
Lexical substitution as a framework for multiword evaluation
In: http://www.lrec-conf.org/proceedings/lrec2008/pdf/275_paper.pdf (2008)
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13
Lexical substitution as a framework for multiword evaluation
In: http://www.dianamccarthy.co.uk/papers/LREC2008.pdf (2008)
Abstract: In this paper we analyse data from the SemEval lexical substitution task in those cases where the annotators indicated that the target word was part of a phrase before substituting the target with a synonym. We classify the types of phrases that were provided in this way by the annotators in order to evaluate the utility of the method as a means of producing a gold-standard for multiword evaluation. Multiword evaluation is a difficult area because lexical resources are not complete and people’s judgments on multiwords vary. Whilst we do not believe lexical substitution is necessarily a panacea for multiword evaluation, we do believe it is a useful methodology because the annotator is focused on the task of substitution. Following the analysis, we make some recommendations which would make the data easier to classify. 1.
URL: http://www.dianamccarthy.co.uk/papers/LREC2008.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.162.2910
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14
SemEval-2007 Task 10: English lexical substitution task
In: http://www.dianamccarthy.co.uk/papers/semevaltask10.pdf (2007)
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15
c○2006 The Association for Computational Linguistics
In: http://www.aclweb.org/anthology-new/W/W06/W06-12.pdf (2006)
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16
Characterising Measures of Lexical Distributional Similarity
In: http://www.cogs.susx.ac.uk/users/juliewe/weedscoling04.ps (2004)
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17
Automatic Identification of Infrequent Word Senses
In: ftp://ftp.informatics.susx.ac.uk/pub/users/dianam/sensefilt.pdf (2004)
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18
Characterising Measures of Lexical Distributional Similarity
In: ftp://ftp.informatics.susx.ac.uk/pub/users/dianam/weedscoling04.pdf (2004)
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19
Ranking WordNet Senses Automatically
In: ftp://ftp.cogs.sussex.ac.uk/pub/users/dianam/csrp569.pdf (2004)
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20
Finding Predominant Word Senses in Untagged Text
In: ftp://ftp.informatics.susx.ac.uk/pub/users/dianam/senseranks.pdf (2004)
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