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1
A lexicographic appraisal of an automatic approach for detecting new word senses
In: http://people.eng.unimelb.edu.au/paulcook/elex2013.pdf (2013)
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2
in English and in Japanese
In: http://meaningtext.net/mtt2011/proceedings/papers/Hirata.pdf (2011)
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3
Author manuscript, published in "JADT, Rome: Italy (1995)" ON COUNTING MEANINGFUL UNITS IN TEXTS
In: http://hal.archives-ouvertes.fr/docs/00/27/83/12/PDF/Rome.pdf (2008)
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4
Toward Communicating Simple Sentences Using Pictorial Representations. Machine Translation 22(3
In: http://web.eecs.umich.edu/%7Emihalcea/papers/mihalcea.mt09.pdf (2008)
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5
MorphoSaurus in ImageCLEF 2006: The effect of subwords on biomedical IR
In: http://ceur-ws.org/Vol-1172/CLEF2006wn-ImageCLEF-DaumkeEt2006.pdf (2007)
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6
Automatic deidentification
In: http://lcp.mit.edu/pdf/UzunerAIM08.pdf (2007)
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7
A Bootstrapping Approach for Identifying Stakeholders in Public-comment Corpora
In: http://www-2.cs.cmu.edu/~callan/Papers/dgo07-jarguello-corrected.pdf (2007)
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8
A Bootstrapping Approach for Identifying Stakeholders
In: http://www.cs.cmu.edu/~callan/Papers/dgo07-jarguello.pdf (2007)
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9
Eliciting Concepts of Place for Text-based Image Retrieval
In: http://tripod.shef.ac.uk/publications/Eliciting Concepts of Place for Text-based Image Retrieval.pdf (2007)
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10
Altering Document Term Vectors for Classification - Ontologies as
In: http://lsdis.cs.uga.edu/~meena/www2007-DOc-Classification-nov20.pdf (2006)
Abstract: Document Classification, the process of classifying documents into pre-defined categories is one of the most popular tasks aimed at grouping and retrieving similar documents. Like many Information Retrieval (IR) tasks, classification techniques rely on using content independent metadata e.g. author, creation date etc. or content dependent metadata i.e. words in the document. One of the most common challenges is that classifiers tend to be inherently limited by the information that is present in the documents. While past research has made use of external dictionaries and topic hierarchies to augment the information that classifiers work with, there is still considerable room for improvement. This work is an investigative effort towards exploring the use of external semantic metadata available in Ontologies in addition to the metadata central to documents, for the task of supervised document classification. The aim is to go beyond 'word cooccurrence / synonym / hierarchical ' similarity based classification systems to a one where the semantic relatedness between terms explicated in Ontologies is exploited. We study the effectiveness of our approach on categories in the national security domain trained using documents from the Homeland Security Digital Library. Preliminary evaluations and results indicate that the technique generally improves precision and recall of classifications in some cases and illustrates when the use of Ontologies for such a task does not add significant value.
Keyword: Abstracting methods; Background domain knowledge; Categories and Subject Descriptors H.3.1 [Content Analysis and Indexing; Dictionaries; Indexing methods; Linguistic processing; Ontology; Ranking semantic; Thesauruses Keywords Supervised Document Classification; Vector Space Models
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.86.9959
http://lsdis.cs.uga.edu/~meena/www2007-DOc-Classification-nov20.pdf
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11
Automatic document indexing in large medical collections
In: http://www.softnet.tuc.gr/~angelos/amte.pdf (2006)
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12
Applying Relational Database Development Methodologies to the Design of Lexical Databases
In: http://www.fdi.ucm.es/profesor/fernan/CL/SV05b.pdf (2005)
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13
Low Cost Automated Conceptual Vector Generation from Mono and Bilingual Ressources
In: http://www.lirmm.fr/~lafourcade/ML-biblio/PAPILLON-2004/PAPILLON04-MLFRDS-v3.pdf (2004)
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14
Low Cost Automated Conceptual Vector Generation from Mono and Bilingual Ressources
In: http://www.papillon-dictionary.org/info_media/42808976.pdf (2004)
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15
An effective approach to document retrieval via utilizing wordnet and recognizing phrases
In: http://www.cs.binghamton.edu/~meng/pub.d/p266-liu.pdf (2004)
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16
An effective approach to document retrieval via utilizing wordnet and recognizing phrases
In: http://www.cs.uic.edu/~sliu/p096-liu.pdf (2004)
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17
Parsing And Tagging Of Bilingual Dictionary
In: http://www.umiacs.umd.edu/lamp/pubs/TechReports/LAMP_106/LAMP_106.pdf (2003)
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18
Parsing And Tagging Of Bilingual Dictionary
In: http://www.cs.umd.edu/Library/TRs/CS-TR-4529/CS-TR-4529.pdf (2003)
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19
Vidya: An Experiential Annotation System
In: http://ame2.asu.edu/faculty/hs/pubs/bs-hs-vidya-final.pdf (2003)
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20
PARSING AND TAGGING OF BILINGUAL DICTIONARY
In: http://www.cs.umd.edu/Library/TRs/CS-TR-4529/CS-TR-4529.pdf (2003)
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