Advanced Language Modeling Approaches: (Case Study: Expert Search)

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

28 Downloads (Pure)

Abstract

This tutorial gives a clear and detailed overview of advanced language modeling approaches and tools, including the use of document priors, translation models, relevance models, parsimonious models and expectation maximization training. Expert search will be used as a case study to explain the consequences of modeling assumptions.
Original languageEnglish
Title of host publicationAdvances in Information Retrieval
Subtitle of host publication30th European Conference on IR Research, ECIR 2008, Glasgow, UK, March 30-April 3, 2008. Proceedings
EditorsCraig Macdonald, Iadh Ounis, Vassilis Plachouras, Ian Ruthven, Ryen W. White
Place of PublicationBerlin
PublisherSpringer
Pages714-715
Number of pages1
ISBN (Electronic)978-3-540-78646-7
ISBN (Print)978-3-540-78645-0
DOIs
Publication statusPublished - 2008
Event30th European Conference on Information Retrieval, ECIR 2008: (IR Resarch) - Glasgow, United Kingdom
Duration: 31 Mar 20084 Apr 2008
Conference number: 30

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume4956
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference30th European Conference on Information Retrieval, ECIR 2008
Abbreviated titleECIR
CountryUnited Kingdom
CityGlasgow
Period31/03/084/04/08

Keywords

  • IR-64758
  • METIS-250976
  • EWI-12721

Fingerprint Dive into the research topics of 'Advanced Language Modeling Approaches: (Case Study: Expert Search)'. Together they form a unique fingerprint.

  • Cite this

    Hiemstra, D. (2008). Advanced Language Modeling Approaches: (Case Study: Expert Search). In C. Macdonald, I. Ounis, V. Plachouras, I. Ruthven, & R. W. White (Eds.), Advances in Information Retrieval: 30th European Conference on IR Research, ECIR 2008, Glasgow, UK, March 30-April 3, 2008. Proceedings (pp. 714-715). (Lecture Notes in Computer Science; Vol. 4956). Berlin: Springer. https://doi.org/10.1007/978-3-540-78646-7_87