SNUMedinfo at CLEF eHealth2013 task 3

Sungbin Choi, Jinwook Choi

Research output: Contribution to journalConference articleResearchpeer-review

Abstract

This paper describes the participation of the SNUMedinfo team at the CLEFeHealth2013 task 3. We submitted 7 runs in total: 1 baseline run using query likelihood model in Indri search engine; 3 runs using passage based lan-guage model; 3 runs using passage based language model with lexical query ex-pansion. We tried to incorporate passage-based score into ranking model to re-flect the degree of query term cohesion per each document.

Original languageEnglish
JournalCEUR Workshop Proceedings
Volume1179
StatePublished - 1 Jan 2013
Event2013 Cross Language Evaluation Forum Conference, CLEF 2013 - Valencia, Spain
Duration: 23 Sep 201326 Sep 2013

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Keywords

  • Indri
  • Medical information retrieval
  • Passage based language model
  • Query expansion
  • Web document

Cite this

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title = "SNUMedinfo at CLEF eHealth2013 task 3",
abstract = "This paper describes the participation of the SNUMedinfo team at the CLEFeHealth2013 task 3. We submitted 7 runs in total: 1 baseline run using query likelihood model in Indri search engine; 3 runs using passage based lan-guage model; 3 runs using passage based language model with lexical query ex-pansion. We tried to incorporate passage-based score into ranking model to re-flect the degree of query term cohesion per each document.",
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SNUMedinfo at CLEF eHealth2013 task 3. / Choi, Sungbin; Choi, Jinwook.

In: CEUR Workshop Proceedings, Vol. 1179, 01.01.2013.

Research output: Contribution to journalConference articleResearchpeer-review

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AU - Choi, Jinwook

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N2 - This paper describes the participation of the SNUMedinfo team at the CLEFeHealth2013 task 3. We submitted 7 runs in total: 1 baseline run using query likelihood model in Indri search engine; 3 runs using passage based lan-guage model; 3 runs using passage based language model with lexical query ex-pansion. We tried to incorporate passage-based score into ranking model to re-flect the degree of query term cohesion per each document.

AB - This paper describes the participation of the SNUMedinfo team at the CLEFeHealth2013 task 3. We submitted 7 runs in total: 1 baseline run using query likelihood model in Indri search engine; 3 runs using passage based lan-guage model; 3 runs using passage based language model with lexical query ex-pansion. We tried to incorporate passage-based score into ranking model to re-flect the degree of query term cohesion per each document.

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KW - Medical information retrieval

KW - Passage based language model

KW - Query expansion

KW - Web document

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JF - CEUR Workshop Proceedings

SN - 1613-0073

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