Posts tagged MeSH

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Combining Concepts and Language Models for Information Access

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1 year ago
by in ,

Since the mid­dle of last cen­tury, infor­ma­tion retrieval has gained an increas­ing inter­est. Since its incep­tion, much research has been devoted to find­ing opti­mal ways of rep­re­sent­ing both doc­u­ments and queries, as well as improv­ing ways of match­ing one with the other. In cases where doc­u­ment anno­ta­tions or explicit seman­tics More >

Traditional Library Card Catalog

Conceptual language models for domain-specific retrieval

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1 year ago
by in ,

Over the years, var­i­ous meta-languages have been used to man­u­ally enrich doc­u­ments with con­cep­tual knowl­edge of some kind. Exam­ples include key­word assign­ment to cita­tions or, more recently, tags to web­sites. In this paper we pro­pose gen­er­a­tive con­cept mod­els as an exten­sion to query mod­el­ing within the lan­guage mod­el­ing frame­work, More >

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Measuring Concept Relatedness Using Language Models

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3 years ago
by in ,

Over the years, the notion of con­cept relat­ed­ness has at– tracted con­sid­er­able atten­tion. A vari­ety of approaches, based on ontol­ogy struc­ture, infor­ma­tion con­tent, asso­ci­a­tion, or con­text have been pro­posed to indi­cate the relat­ed­ness of abstract ideas. In this paper we present a novel con­text based mea­sure of con­cept relat­ed­ness, based More >

concepts

Parsimonious concept modeling

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3 years ago
by in ,

In many col­lec­tions, doc­u­ments are anno­tated using con­cepts from a struc­tured knowl­edge source such as an ontol­ogy or the­saurus. Exam­ples include the news domain, where each news item is cat­e­go­rized accord­ing to the nature of the event that took place, and Wikipedia, with its per-article cat­e­gories. These cat­e­go­riz­ing sys­tems orig­i­nally More >

ictir

Integrating Conceptual Knowledge into Relevance Models: A Model and Estimation Method

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4 years ago
by in ,

We address the issue of com­bin­ing explicit back­ground knowl­edge with pseudo-relevance feed­back from within a doc­u­ment col­lec­tion. To this end, we use document-level anno­ta­tions in tan­dem with gen­er­a­tive lan­guage mod­els to gen­er­ate terms from pseudo-relevant doc­u­ments and bias the prob­a­bil­ity esti­mates of expan­sion terms in a prin­ci­pled man­ner. By apply­ing More >

dna_1

Thesaurus-Based Feedback to Support Mixed Search and Browsing Environments

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4 years ago
by in ,

We pro­pose and eval­u­ate a query expan­sion mech­a­nism that sup­ports search­ing and brows­ing in col­lec­tions of anno­tated doc­u­ments. Based on gen­er­a­tive lan­guage mod­els, our feed­back mech­a­nism uses document-level anno­ta­tions to bias the gen­er­a­tion of expan­sion terms and to gen­er­ate brows­ing sug­ges­tions in the form of con­cepts selected from a con­trolled More >

TREC

Expanding Queries Using Multiple Resources

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5 years ago
by in ,

We describe our par­tic­i­pa­tion in the TREC 2006 Genomics track, in which our main focus was on query expan­sion. We hypoth­e­sized that apply­ing query expan­sion tech­niques would help us both to iden­tify and retrieve syn­ony­mous terms, and to cope with ambi­gu­ity. To this end, we devel­oped sev­eral collection-specific as More >

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Combining Thesauri-based Methods for Biomedical Retrieval

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6 years ago
by in ,

This paper describes our par­tic­i­pa­tion in the TREC 2005 Genomics track. We took part in the ad hoc retrieval task and aimed at inte­grat­ing the­sauri in the retrieval model. We devel­oped three thesauri-based meth­ods, two of which made use of the exist­ing MeSH the­saurus. One method uses blind rel­e­vance More >

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