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1
L.: Evaluation metrics for the lexical substitution task
In: http://www.aclweb.org/anthology/N/N10/N10-1037.pdf (2010)
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2
L.: Authorship attribution of E-Mail: Comparing classifiers over a new corpus for evaluation. European Language Resources Association (ELRA
In: http://www.lrec-conf.org/proceedings/lrec2008/pdf/552_paper.pdf (2008)
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3
Large scale experiments for semantic labeling of noun phrases in raw text
In: http://www.dcs.shef.ac.uk/~dguthrie/publications/pubs/LREC2004-SPARSE.pdf (2004)
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4
Large scale experiments for semantic labeling of noun phrases in raw text
In: http://www.lrec-conf.org/proceedings/lrec2004/pdf/666.pdf (2004)
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5
Large scale experiments for semantic labeling of noun phrases in raw text
In: http://ai-nlp.info.uniroma2.it/zanzotto/2004_LREC_Guthrie_el_al.pdf (2004)
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6
L.,”Using Semantic Annotations to Cluster Lexical Relationships
In: http://www.dcs.shef.ac.uk/~dguthrie/publications/pubs/NSFreport-final.pdf (2003)
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7
Natural Language Information Retrieval: Trec-5 Report
In: http://www.resophonic.com/trec96paper.ps (1996)
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8
Lexi-CAD/CAM
In: http://cl.aist-nara.ac.jp/lab/events/SNLR/papers/24.ps.gz (1994)
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9
Y.Wilks. The use of machine readable dictionaries in the Pangloss project
In: http://www.aaai.org/Papers/Symposia/Spring/1993/SS-93-02/SS93-02-014.pdf (1993)
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10
Diderot Information Extraction System
In: http://www.cs.brandeis.edu/~waterman/papers/pacling-final-paper.ps (1993)
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11
CRL/Brandeis: The Diderot System
In: http://ucrel.lancs.ac.uk/acl/X/X93/X93-1021.pdf (1993)
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12
Lexical disambiguation using simulated annealing
In: http://acl.ldc.upenn.edu/C/C92/C92-1056.pdf (1992)
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13
Is There Content in Empty Heads?
In: http://acl.ldc.upenn.edu/C/C90/C90-3025.pdf (1990)
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14
Evaluating Lexical Substitution: Analysis and New Measures
In: http://www.lrec-conf.org/proceedings/lrec2010/pdf/782_Paper.pdf
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15
An Unsupervised Approach for the Detection of Outliers in Corpora
In: http://www.lrec-conf.org/proceedings/lrec2008/pdf/866_paper.pdf
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16
Genus Dismnbiguation: A Study in Weighted Preference
In: http://acl.ldc.upenn.edu/C/C92/C92-4189.pdf
Abstract: The mitomahc construction of an IS_A taxonomy of noun senses from a machine readable dictionary (MRD) has long been sought, but achlevexl with only limited success. The task requires the solution to two problems: 1) To define an algorithm to automatically identify the ganus or typemyra of a noun definition, and 2) to define an algorithm for lexmal disalubigualion of file genus term. In the last lw years, effective methods for solving rite first problem have beeit developed, but tile problem of creatthg all algorithm for lexical dismnbiguation of the genus terms is one that has provea to be very difficult. In COL1NG 90 we described our imtial work on the automatic crea- tion of a taxonomy of noun senses from Longman's Dictionary of Coutemporary English (LDOCE). 'lite algorithm for lexical disamblguation of the genus teml was accra'ate about 80% of the time alld nlade use of the semantic categories, the subject area markings ald the frequeucy of use mformatiou m LDOCE. In this paper we report a series of expemnents which weight rite three factors in various ways, and describe our improvements to the algorithm (to about 90% accuracy).
URL: http://acl.ldc.upenn.edu/C/C92/C92-4189.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.14.1690
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17
Cross-linguistic Discovery of Semantic Regularity
In: http://www.dcs.shef.ac.uk/~wim/xling.pdf
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18
Natural Language Information Retrieval: Trec-5 Report
In: http://www.ai.mit.edu/people/jimmylin/papers/Strzalkowski96.ps
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19
Professor or screaming beast? Detecting Words Misuse in Chinese
In: http://www.lrec-conf.org/proceedings/lrec2008/pdf/37_paper.pdf
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20
Another Look at the Data Sparsity Problem
In: http://www.dcs.shef.ac.uk/~dguthrie/publications/pubs/TSD%20-%20Another%20Look%20at%20the%20Data%20Sparsity%20Problem.pdf
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