A Language Modeling Approach for Temporal Information Needs
Identifieur interne : 001333 ( Istex/Corpus ); précédent : 001332; suivant : 001334A Language Modeling Approach for Temporal Information Needs
Auteurs : Klaus Berberich ; Srikanta Bedathur ; Omar Alonso ; Gerhard WeikumSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2010.
English descriptors
- Teeft :
- Account publication times, Berberich, Best performance, Best retrieval performance, Business news archives, Concrete example, Document collection, Equal likelihood, Exact time interval, Exclusive mode, Experimental evaluation, Fifa world, Generative model, Inclusive mode, Inclusive mode method, Indicator function, Information retrieval, Inherent uncertainty, July, Keith harring, Language model, Language model retrieval framework, Language modeling approach, Language models, Modeling, Novel approach, Publication times, Query, Relevance assessments, Relevant documents, Retrieval, Retrieval model, Retrieval models, Second half, Sigir forum, Temporal, Temporal annotation, Temporal dimension, Temporal expression, Temporal expressions, Temporal granularity, Temporal information, Temporal language models, Temporal part, Temporal queries, Textual, Textual part, Textual terms, Third option, Time interval, Time intervals, Timeline view, Unigram language model, Unix epoch, User studies, York times.
Abstract
Abstract: This work addresses information needs that have a temporal dimension conveyed by a temporal expression in the user’s query. Temporal expressions such as “in the 1990s” are frequent, easily extractable, but not leveraged by existing retrieval models. One challenge when dealing with them is their inherent uncertainty. It is often unclear which exact time interval a temporal expression refers to. We integrate temporal expressions into a language modeling approach, thus making them first-class citizens of the retrieval model and considering their inherent uncertainty. Experiments on the New York Times Annotated Corpus using Amazon Mechanical Turk to collect queries and obtain relevance assessments demonstrate that our approach yields substantial improvements in retrieval effectiveness.
Url:
DOI: 10.1007/978-3-642-12275-0_5
Links to Exploration step
ISTEX:BAF640DCF9B42FCCB04C544D72DFB89126AD248FLe document en format XML
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bedathur@mpi-inf.mpg.de</mods:affiliation></affiliation></author><author><name sortKey="Alonso, Omar" sort="Alonso, Omar" uniqKey="Alonso O" first="Omar" last="Alonso">Omar Alonso</name><affiliation><mods:affiliation>Max-Planck Institute for Informatics, Saarbrücken, Germany</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: oalonso@mpi-inf.mpg.de</mods:affiliation></affiliation></author><author><name sortKey="Weikum, Gerhard" sort="Weikum, Gerhard" uniqKey="Weikum G" first="Gerhard" last="Weikum">Gerhard Weikum</name><affiliation><mods:affiliation>Max-Planck Institute for Informatics, Saarbrücken, Germany</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: weikum@mpi-inf.mpg.de</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="s">Lecture Notes in Computer Science</title><imprint><date>2010</date></imprint><idno type="ISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><idno 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This work addresses information needs that have a temporal dimension conveyed by a temporal expression in the user’s query. Temporal expressions such as “in the 1990s” are frequent, easily extractable, but not leveraged by existing retrieval models. One challenge when dealing with them is their inherent uncertainty. It is often unclear which exact time interval a temporal expression refers to. We integrate temporal expressions into a language modeling approach, thus making them first-class citizens of the retrieval model and considering their inherent uncertainty. Experiments on the New York Times Annotated Corpus using Amazon Mechanical Turk to collect queries and obtain relevance assessments demonstrate that our approach yields substantial improvements in retrieval effectiveness.</div></front></TEI><istex><corpusName>springer</corpusName><keywords><teeft><json:string>temporal expressions</json:string><json:string>query</json:string><json:string>temporal expression</json:string><json:string>temporal information</json:string><json:string>language modeling approach</json:string><json:string>retrieval</json:string><json:string>temporal</json:string><json:string>time interval</json:string><json:string>berberich</json:string><json:string>modeling</json:string><json:string>july</json:string><json:string>textual part</json:string><json:string>temporal part</json:string><json:string>york times</json:string><json:string>exclusive mode</json:string><json:string>relevance assessments</json:string><json:string>time intervals</json:string><json:string>information retrieval</json:string><json:string>temporal granularity</json:string><json:string>retrieval model</json:string><json:string>experimental evaluation</json:string><json:string>inclusive mode</json:string><json:string>retrieval models</json:string><json:string>fifa world</json:string><json:string>document collection</json:string><json:string>language models</json:string><json:string>second half</json:string><json:string>temporal dimension</json:string><json:string>keith harring</json:string><json:string>exact time interval</json:string><json:string>textual</json:string><json:string>language model retrieval framework</json:string><json:string>unigram language model</json:string><json:string>generative model</json:string><json:string>unix epoch</json:string><json:string>language model</json:string><json:string>indicator function</json:string><json:string>equal likelihood</json:string><json:string>temporal language models</json:string><json:string>inclusive mode method</json:string><json:string>concrete example</json:string><json:string>inherent uncertainty</json:string><json:string>user studies</json:string><json:string>third option</json:string><json:string>best performance</json:string><json:string>best retrieval performance</json:string><json:string>novel approach</json:string><json:string>account publication times</json:string><json:string>publication times</json:string><json:string>relevant documents</json:string><json:string>business news archives</json:string><json:string>temporal queries</json:string><json:string>timeline view</json:string><json:string>temporal annotation</json:string><json:string>sigir forum</json:string><json:string>textual terms</json:string></teeft></keywords><author><json:item><name>Klaus Berberich</name><affiliations><json:string>Max-Planck Institute for Informatics, Saarbrücken, Germany</json:string><json:string>E-mail: kberberi@mpi-inf.mpg.de</json:string></affiliations></json:item><json:item><name>Srikanta Bedathur</name><affiliations><json:string>Max-Planck Institute for Informatics, Saarbrücken, Germany</json:string><json:string>E-mail: bedathur@mpi-inf.mpg.de</json:string></affiliations></json:item><json:item><name>Omar Alonso</name><affiliations><json:string>Max-Planck Institute for Informatics, Saarbrücken, Germany</json:string><json:string>E-mail: oalonso@mpi-inf.mpg.de</json:string></affiliations></json:item><json:item><name>Gerhard Weikum</name><affiliations><json:string>Max-Planck Institute for Informatics, Saarbrücken, Germany</json:string><json:string>E-mail: weikum@mpi-inf.mpg.de</json:string></affiliations></json:item></author><language><json:string>eng</json:string></language><originalGenre><json:string>proceedings</json:string></originalGenre><abstract>Abstract: This work addresses information needs that have a temporal dimension conveyed by a temporal expression in the user’s query. 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Robotics)</value></json:item></subject></host><categories><inist><json:string>sciences humaines et sociales</json:string></inist></categories><publicationDate>2010</publicationDate><copyrightDate>2010</copyrightDate><doi><json:string>10.1007/978-3-642-12275-0_5</json:string></doi><id>BAF640DCF9B42FCCB04C544D72DFB89126AD248F</id><score>1</score><fulltext><json:item><extension>pdf</extension><original>true</original><mimetype>application/pdf</mimetype><uri>https://api.istex.fr/document/BAF640DCF9B42FCCB04C544D72DFB89126AD248F/fulltext/pdf</uri></json:item><json:item><extension>zip</extension><original>false</original><mimetype>application/zip</mimetype><uri>https://api.istex.fr/document/BAF640DCF9B42FCCB04C544D72DFB89126AD248F/fulltext/zip</uri></json:item><istex:fulltextTEI uri="https://api.istex.fr/document/BAF640DCF9B42FCCB04C544D72DFB89126AD248F/fulltext/tei"><teiHeader><fileDesc><titleStmt><title level="a" type="main" xml:lang="en">A Language Modeling Approach for Temporal 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type="first">Omar</forename><surname>Alonso</surname></persName><email>oalonso@mpi-inf.mpg.de</email><affiliation>Max-Planck Institute for Informatics, Saarbrücken, Germany</affiliation></author><author xml:id="author-0003"><persName><forename type="first">Gerhard</forename><surname>Weikum</surname></persName><email>weikum@mpi-inf.mpg.de</email><affiliation>Max-Planck Institute for Informatics, Saarbrücken, Germany</affiliation></author><idno type="istex">BAF640DCF9B42FCCB04C544D72DFB89126AD248F</idno><idno type="DOI">10.1007/978-3-642-12275-0_5</idno><idno type="ChapterID">5</idno><idno type="ChapterID">Chap5</idno></analytic><monogr><title level="m">Advances in Information Retrieval</title><title level="m" type="sub">32nd European Conference on IR Research, ECIR 2010, Milton Keynes, UK, March 28-31, 2010.Proceedings</title><idno type="DOI">10.1007/978-3-642-12275-0</idno><idno type="pISBN">978-3-642-12274-3</idno><idno type="eISBN">978-3-642-12275-0</idno><idno 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type="first">Gabriella</forename><surname>Kazai</surname></persName><email>v-gabkaz@microsoft.com</email><affiliation>Microsoft Research Ltd, 7 JJ Thomson Avenue, CB3 0FB, Cambridge, UK</affiliation></editor><editor xml:id="book-author-0003"><persName><forename type="first">Udo</forename><surname>Kruschwitz</surname></persName><email>udo@essex.ac.uk</email><affiliation>Department of Computer Science, University of Essex, Wivenhoe Park, CO4 3SQ, Colchester, UK</affiliation></editor><editor xml:id="book-author-0004"><persName><forename type="first">Suzanne</forename><surname>Little</surname></persName><email>Suzanne.Little@open.ac.uk</email><affiliation>The Open University, Walton Hall, Milton Keynes, UK</affiliation></editor><editor xml:id="book-author-0005"><persName><forename type="first">Thomas</forename><surname>Roelleke</surname></persName><email>thor@dcs.qmul.ac.uk</email><affiliation>University of London, London, UK</affiliation></editor><editor xml:id="book-author-0006"><persName><forename type="first">Stefan</forename><surname>Rüger</surname></persName><email>s.rueger@open.ac.uk</email><affiliation>Knowledge Media Institute, The Open University, MK7 6AA, Milton Keynes, UK</affiliation></editor><editor xml:id="book-author-0007"><persName><forename type="first">Keith</forename><surname>van Rijsbergen</surname></persName><email>keith@dcs.gla.ac.uk</email><affiliation>Department of Computing Science, University of Glasgow, 17 Lilybank Gardens, G12 8QQ, Glasgow, UK</affiliation></editor><imprint><publisher>Springer Berlin Heidelberg</publisher><pubPlace>Berlin, Heidelberg</pubPlace><date type="published" when="2010"></date><biblScope unit="volume">5993</biblScope><biblScope unit="page" from="13">13</biblScope><biblScope unit="page" to="25">25</biblScope></imprint></monogr><series><title level="s">Lecture Notes in Computer Science</title><editor xml:id="serie-author-0000"><persName><forename type="first">David</forename><surname>Hutchison</surname></persName><affiliation>Lancaster University, Lancaster, UK</affiliation></editor><editor xml:id="serie-author-0001"><persName><forename type="first">Takeo</forename><surname>Kanade</surname></persName><affiliation>Carnegie Mellon University, Pittsburgh, PA, USA</affiliation></editor><editor xml:id="serie-author-0002"><persName><forename type="first">Josef</forename><surname>Kittler</surname></persName><affiliation>University of Surrey, Guildford, UK</affiliation></editor><editor xml:id="serie-author-0003"><persName><forename type="first">Jon</forename><forename type="first">M.</forename><surname>Kleinberg</surname></persName><affiliation>Cornell University, Ithaca, NY, USA</affiliation></editor><editor xml:id="serie-author-0004"><persName><forename type="first">Friedemann</forename><surname>Mattern</surname></persName><affiliation>ETH Zurich, Zurich, Switzerland</affiliation></editor><editor xml:id="serie-author-0005"><persName><forename type="first">John</forename><forename type="first">C.</forename><surname>Mitchell</surname></persName><affiliation>Stanford University, Stanford, CA, USA</affiliation></editor><editor xml:id="serie-author-0006"><persName><forename type="first">Moni</forename><surname>Naor</surname></persName><affiliation>Weizmann Institute of Science, Rehovot, Israel</affiliation></editor><editor xml:id="serie-author-0007"><persName><forename type="first">Oscar</forename><surname>Nierstrasz</surname></persName><affiliation>University of Bern, Bern, Switzerland</affiliation></editor><editor xml:id="serie-author-0008"><persName><forename type="first">C.</forename><surname>Pandu Rangan</surname></persName><affiliation>Indian Institute of Technology, Madras, India</affiliation></editor><editor xml:id="serie-author-0009"><persName><forename type="first">Bernhard</forename><surname>Steffen</surname></persName><affiliation>University of Dortmund, Dortmund, Germany</affiliation></editor><editor xml:id="serie-author-0010"><persName><forename type="first">Madhu</forename><surname>Sudan</surname></persName><affiliation>Massachusetts Institute of Technology, MA, USA</affiliation></editor><editor xml:id="serie-author-0011"><persName><forename type="first">Demetri</forename><surname>Terzopoulos</surname></persName><affiliation>University of California, Los Angeles, CA, USA</affiliation></editor><editor xml:id="serie-author-0012"><persName><forename type="first">Doug</forename><surname>Tygar</surname></persName><affiliation>University of California, Berkeley, CA, USA</affiliation></editor><editor xml:id="serie-author-0013"><persName><forename type="first">Moshe</forename><forename type="first">Y.</forename><surname>Vardi</surname></persName><affiliation>Rice University, Houston, TX, USA</affiliation></editor><editor xml:id="serie-author-0014"><persName><forename type="first">Gerhard</forename><surname>Weikum</surname></persName><affiliation>Max-Planck Institute of Computer Science, Saarbrücken, Germany</affiliation></editor><biblScope><date>2010</date></biblScope><idno type="pISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><idno type="series-Id">558</idno></series></biblStruct></sourceDesc></fileDesc><profileDesc><creation><date>2010</date></creation><langUsage><language ident="en">en</language></langUsage><abstract xml:lang="en"><p>Abstract: This work addresses information needs that have a temporal dimension conveyed by a temporal expression in the user’s query. Temporal expressions such as “in the 1990s” are frequent, easily extractable, but not leveraged by existing retrieval models. One challenge when dealing with them is their inherent uncertainty. It is often unclear which exact time interval a temporal expression refers to. We integrate temporal expressions into a language modeling approach, thus making them first-class citizens of the retrieval model and considering their inherent uncertainty. Experiments on the New York Times Annotated Corpus using Amazon Mechanical Turk to collect queries and obtain relevance assessments demonstrate that our approach yields substantial improvements in retrieval effectiveness.</p></abstract><textClass><keywords scheme="Book-Subject-Collection"><list><label>SUCO11645</label><item><term>Computer Science</term></item></list></keywords></textClass><textClass><keywords scheme="Book-Subject-Group"><list><label>I</label><item><term>Computer Science</term></item><label>I18030</label><item><term>Data Mining and Knowledge Discovery</term></item><label>I18032</label><item><term>Information Storage and Retrieval</term></item><label>I18024</label><item><term>Database Management</term></item><label>I18040</label><item><term>Information Systems Applications (incl.Internet)</term></item><label>I18059</label><item><term>Multimedia Information Systems</term></item><label>I21017</label><item><term>Artificial Intelligence (incl. 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University</OrgName><OrgAddress><City>Houston</City><State>TX</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff15"><OrgName>Max-Planck Institute of Computer Science</OrgName><OrgAddress><City>Saarbrücken</City><Country>Germany</Country></OrgAddress></Affiliation></EditorGroup></SeriesHeader><Book Language="En"><BookInfo BookProductType="Proceedings" ContainsESM="No" Language="En" MediaType="eBook" NumberingDepth="2" NumberingStyle="ContentOnly" OutputMedium="All" TocLevels="0"><BookID>978-3-642-12275-0</BookID><BookTitle>Advances in Information Retrieval</BookTitle><BookSubTitle>32nd European Conference on IR Research, ECIR 2010, Milton Keynes, UK, March 28-31, 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DisplayOrder="Western"><GivenName>Keith</GivenName><Particle>van</Particle><FamilyName>Rijsbergen</FamilyName></EditorName><Contact><Email>keith@dcs.gla.ac.uk</Email></Contact></Editor><Affiliation ID="Aff16"><OrgDivision>Adaptive Information Cluster</OrgDivision><OrgName>Dublin City University</OrgName><OrgAddress><City>Dublin, 9</City><Country>Ireland</Country></OrgAddress></Affiliation><Affiliation ID="Aff17"><OrgName>The Open University</OrgName><OrgAddress><Street>Walton Hall</Street><Postcode>MK7 6HF</Postcode><City>Milton Keynes</City><Country>UK</Country></OrgAddress></Affiliation><Affiliation ID="Aff18"><OrgName>Microsoft Research Ltd</OrgName><OrgAddress><Street>7 JJ Thomson Avenue</Street><Postcode>CB3 0FB</Postcode><City>Cambridge</City><Country>UK</Country></OrgAddress></Affiliation><Affiliation ID="Aff19"><OrgDivision>Department of Computer Science</OrgDivision><OrgName>University of Essex</OrgName><OrgAddress><Street>Wivenhoe Park</Street><Postcode>CO4 3SQ</Postcode><City>Colchester</City><Country>UK</Country></OrgAddress></Affiliation><Affiliation ID="Aff20"><OrgName>The Open University</OrgName><OrgAddress><Street>Walton Hall</Street><City>Milton Keynes</City><Country>UK</Country></OrgAddress></Affiliation><Affiliation ID="Aff21"><OrgName>University of London</OrgName><OrgAddress><City>London</City><Country>UK</Country></OrgAddress></Affiliation><Affiliation ID="Aff22"><OrgDivision>Knowledge Media Institute</OrgDivision><OrgName>The Open University</OrgName><OrgAddress><Postcode>MK7 6AA</Postcode><City>Milton Keynes</City><Country>UK</Country></OrgAddress></Affiliation><Affiliation ID="Aff23"><OrgDivision>Department of Computing Science</OrgDivision><OrgName>University of Glasgow</OrgName><OrgAddress><Street>17 Lilybank Gardens</Street><Postcode>G12 8QQ</Postcode><City>Glasgow</City><Country>UK</Country></OrgAddress></Affiliation></EditorGroup></BookHeader><Part ID="Part3"><PartInfo TocLevels="0"><PartID>3</PartID><PartSequenceNumber>3</PartSequenceNumber><PartTitle>Regular Papers</PartTitle><PartChapterCount>44</PartChapterCount><PartContext><SeriesID>558</SeriesID><BookTitle>Advances in Information Retrieval</BookTitle></PartContext></PartInfo><SubPart ID="SubPart1"><SubPartInfo><SubPartID>1</SubPartID><SubPartSequenceNumber>1</SubPartSequenceNumber><SubPartTitle>NLP and Text Mining</SubPartTitle><SubPartChapterCount>6</SubPartChapterCount></SubPartInfo><Chapter ID="Chap5" Language="En"><ChapterInfo ChapterType="OriginalPaper" ContainsESM="No" NumberingDepth="2" NumberingStyle="ContentOnly" TocLevels="0"><ChapterID>5</ChapterID><ChapterDOI>10.1007/978-3-642-12275-0_5</ChapterDOI><ChapterSequenceNumber>5</ChapterSequenceNumber><ChapterTitle Language="En">A Language Modeling Approach for Temporal Information Needs</ChapterTitle><ChapterFirstPage>13</ChapterFirstPage><ChapterLastPage>25</ChapterLastPage><ChapterCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2010</CopyrightYear></ChapterCopyright><ChapterGrants Type="Regular"><MetadataGrant Grant="OpenAccess"></MetadataGrant><AbstractGrant Grant="OpenAccess"></AbstractGrant><BodyPDFGrant Grant="Restricted"></BodyPDFGrant><BodyHTMLGrant Grant="Restricted"></BodyHTMLGrant><BibliographyGrant Grant="Restricted"></BibliographyGrant><ESMGrant Grant="Restricted"></ESMGrant></ChapterGrants><ChapterContext><SeriesID>558</SeriesID><PartID>3</PartID><BookID>978-3-642-12275-0</BookID><BookTitle>Advances in Information Retrieval</BookTitle></ChapterContext></ChapterInfo><ChapterHeader><AuthorGroup><Author AffiliationIDS="Aff24"><AuthorName DisplayOrder="Western"><GivenName>Klaus</GivenName><FamilyName>Berberich</FamilyName></AuthorName><Contact><Email>kberberi@mpi-inf.mpg.de</Email></Contact></Author><Author AffiliationIDS="Aff24"><AuthorName DisplayOrder="Western"><GivenName>Srikanta</GivenName><FamilyName>Bedathur</FamilyName></AuthorName><Contact><Email>bedathur@mpi-inf.mpg.de</Email></Contact></Author><Author AffiliationIDS="Aff24"><AuthorName DisplayOrder="Western"><GivenName>Omar</GivenName><FamilyName>Alonso</FamilyName></AuthorName><Contact><Email>oalonso@mpi-inf.mpg.de</Email></Contact></Author><Author AffiliationIDS="Aff24"><AuthorName DisplayOrder="Western"><GivenName>Gerhard</GivenName><FamilyName>Weikum</FamilyName></AuthorName><Contact><Email>weikum@mpi-inf.mpg.de</Email></Contact></Author><Affiliation ID="Aff24"><OrgName>Max-Planck Institute for Informatics</OrgName><OrgAddress><City>Saarbrücken</City><Country>Germany</Country></OrgAddress></Affiliation></AuthorGroup><Abstract ID="Abs1" Language="En"><Heading>Abstract</Heading><Para>This work addresses information needs that have a temporal dimension conveyed by a temporal expression in the user’s query. Temporal expressions such as <Emphasis FontCategory="SansSerif">“in the 1990s”</Emphasis> are frequent, easily extractable, but not leveraged by existing retrieval models. One challenge when dealing with them is their inherent uncertainty. It is often unclear which exact time interval a temporal expression refers to.</Para><Para>We integrate temporal expressions into a language modeling approach, thus making them first-class citizens of the retrieval model and considering their inherent uncertainty. Experiments on the New York Times Annotated Corpus using Amazon Mechanical Turk to collect queries and obtain relevance assessments demonstrate that our approach yields substantial improvements in retrieval effectiveness.</Para></Abstract></ChapterHeader><NoBody></NoBody></Chapter></SubPart></Part></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>A Language Modeling Approach for Temporal Information Needs</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>A Language Modeling Approach for Temporal Information Needs</title></titleInfo><name type="personal"><namePart type="given">Klaus</namePart><namePart type="family">Berberich</namePart><affiliation>Max-Planck Institute for Informatics, Saarbrücken, Germany</affiliation><affiliation>E-mail: kberberi@mpi-inf.mpg.de</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Srikanta</namePart><namePart type="family">Bedathur</namePart><affiliation>Max-Planck Institute for Informatics, Saarbrücken, Germany</affiliation><affiliation>E-mail: bedathur@mpi-inf.mpg.de</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Omar</namePart><namePart type="family">Alonso</namePart><affiliation>Max-Planck Institute for Informatics, Saarbrücken, Germany</affiliation><affiliation>E-mail: oalonso@mpi-inf.mpg.de</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Gerhard</namePart><namePart type="family">Weikum</namePart><affiliation>Max-Planck Institute for Informatics, Saarbrücken, Germany</affiliation><affiliation>E-mail: weikum@mpi-inf.mpg.de</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="conference" displayLabel="proceedings"></genre><originInfo><publisher>Springer Berlin Heidelberg</publisher><place><placeTerm type="text">Berlin, Heidelberg</placeTerm></place><dateIssued encoding="w3cdtf">2010</dateIssued><copyrightDate encoding="w3cdtf">2010</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType></physicalDescription><abstract lang="en">Abstract: This work addresses information needs that have a temporal dimension conveyed by a temporal expression in the user’s query. Temporal expressions such as “in the 1990s” are frequent, easily extractable, but not leveraged by existing retrieval models. One challenge when dealing with them is their inherent uncertainty. It is often unclear which exact time interval a temporal expression refers to. We integrate temporal expressions into a language modeling approach, thus making them first-class citizens of the retrieval model and considering their inherent uncertainty. Experiments on the New York Times Annotated Corpus using Amazon Mechanical Turk to collect queries and obtain relevance assessments demonstrate that our approach yields substantial improvements in retrieval effectiveness.</abstract><relatedItem type="host"><titleInfo><title>Advances in Information Retrieval</title><subTitle>32nd European Conference on IR Research, ECIR 2010, Milton Keynes, UK, March 28-31, 2010.Proceedings</subTitle></titleInfo><name type="personal"><namePart type="given">Cathal</namePart><namePart type="family">Gurrin</namePart><affiliation>Adaptive Information Cluster, Dublin City University, Dublin, 9, Ireland</affiliation><affiliation>E-mail: cgurrin@computing.dcu.ie</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Yulan</namePart><namePart type="family">He</namePart><affiliation>The Open University, Walton Hall, MK7 6HF, Milton Keynes, UK</affiliation><affiliation>E-mail: y.he@open.ac.uk</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Gabriella</namePart><namePart type="family">Kazai</namePart><affiliation>Microsoft Research Ltd, 7 JJ Thomson Avenue, CB3 0FB, Cambridge, UK</affiliation><affiliation>E-mail: v-gabkaz@microsoft.com</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Udo</namePart><namePart type="family">Kruschwitz</namePart><affiliation>Department of Computer Science, University of Essex, Wivenhoe Park, CO4 3SQ, Colchester, UK</affiliation><affiliation>E-mail: udo@essex.ac.uk</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Suzanne</namePart><namePart type="family">Little</namePart><affiliation>The Open University, Walton Hall, Milton Keynes, UK</affiliation><affiliation>E-mail: Suzanne.Little@open.ac.uk</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Thomas</namePart><namePart type="family">Roelleke</namePart><affiliation>University of London, London, UK</affiliation><affiliation>E-mail: thor@dcs.qmul.ac.uk</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Stefan</namePart><namePart type="family">Rüger</namePart><affiliation>Knowledge Media Institute, The Open University, MK7 6AA, Milton Keynes, UK</affiliation><affiliation>E-mail: s.rueger@open.ac.uk</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Keith</namePart><namePart type="family">van Rijsbergen</namePart><affiliation>Department of Computing Science, University of Glasgow, 17 Lilybank Gardens, G12 8QQ, Glasgow, UK</affiliation><affiliation>E-mail: keith@dcs.gla.ac.uk</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><genre type="book-series" displayLabel="Proceedings"></genre><originInfo><copyrightDate encoding="w3cdtf">2010</copyrightDate><issuance>monographic</issuance></originInfo><subject><genre>Book-Subject-Collection</genre><topic authority="SpringerSubjectCodes" authorityURI="SUCO11645">Computer Science</topic></subject><subject><genre>Book-Subject-Group</genre><topic authority="SpringerSubjectCodes" authorityURI="I">Computer Science</topic><topic authority="SpringerSubjectCodes" authorityURI="I18030">Data Mining and Knowledge Discovery</topic><topic authority="SpringerSubjectCodes" authorityURI="I18032">Information Storage and Retrieval</topic><topic authority="SpringerSubjectCodes" authorityURI="I18024">Database Management</topic><topic authority="SpringerSubjectCodes" authorityURI="I18040">Information Systems Applications (incl.Internet)</topic><topic authority="SpringerSubjectCodes" authorityURI="I18059">Multimedia Information Systems</topic><topic authority="SpringerSubjectCodes" authorityURI="I21017">Artificial Intelligence (incl. 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Computer Science</title></titleInfo><name type="personal"><namePart type="given">David</namePart><namePart type="family">Hutchison</namePart><affiliation>Lancaster University, Lancaster, UK</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Takeo</namePart><namePart type="family">Kanade</namePart><affiliation>Carnegie Mellon University, Pittsburgh, PA, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Josef</namePart><namePart type="family">Kittler</namePart><affiliation>University of Surrey, Guildford, UK</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Jon</namePart><namePart type="given">M.</namePart><namePart type="family">Kleinberg</namePart><affiliation>Cornell University, Ithaca, NY, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Friedemann</namePart><namePart type="family">Mattern</namePart><affiliation>ETH Zurich, Zurich, Switzerland</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">John</namePart><namePart type="given">C.</namePart><namePart type="family">Mitchell</namePart><affiliation>Stanford University, Stanford, CA, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Moni</namePart><namePart type="family">Naor</namePart><affiliation>Weizmann Institute of Science, Rehovot, Israel</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Oscar</namePart><namePart type="family">Nierstrasz</namePart><affiliation>University of Bern, Bern, Switzerland</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">C.</namePart><namePart type="family">Pandu Rangan</namePart><affiliation>Indian Institute of Technology, Madras, India</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Bernhard</namePart><namePart type="family">Steffen</namePart><affiliation>University of Dortmund, Dortmund, Germany</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Madhu</namePart><namePart type="family">Sudan</namePart><affiliation>Massachusetts Institute of Technology, MA, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Demetri</namePart><namePart type="family">Terzopoulos</namePart><affiliation>University of California, Los Angeles, CA, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Doug</namePart><namePart type="family">Tygar</namePart><affiliation>University of California, Berkeley, CA, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Moshe</namePart><namePart type="given">Y.</namePart><namePart type="family">Vardi</namePart><affiliation>Rice University, Houston, TX, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Gerhard</namePart><namePart type="family">Weikum</namePart><affiliation>Max-Planck Institute of Computer Science, Saarbrücken, Germany</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><originInfo><copyrightDate encoding="w3cdtf">2010</copyrightDate><issuance>serial</issuance></originInfo><identifier type="ISSN">0302-9743</identifier><identifier type="eISSN">1611-3349</identifier><identifier type="SeriesID">558</identifier><recordInfo><recordOrigin>Springer-Verlag Berlin Heidelberg, 2010</recordOrigin></recordInfo></relatedItem><identifier type="istex">BAF640DCF9B42FCCB04C544D72DFB89126AD248F</identifier><identifier type="DOI">10.1007/978-3-642-12275-0_5</identifier><identifier type="ChapterID">5</identifier><identifier type="ChapterID">Chap5</identifier><accessCondition type="use and reproduction" contentType="copyright">Springer-Verlag Berlin Heidelberg, 2010</accessCondition><recordInfo><recordContentSource>SPRINGER</recordContentSource><recordOrigin>Springer-Verlag Berlin Heidelberg, 2010</recordOrigin></recordInfo></mods></metadata></istex></record>Pour manipuler ce document sous Unix (Dilib)
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