Sense Discrimination for Physics Retrieval

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Standard

Sense Discrimination for Physics Retrieval. / Lioma, Christina; Kothari, Alok; Schuetze, Hinrich.

SIGIR’11: July 24–28, 2011, Beijing, China. Association for Computing Machinery, 2011. p. 1101 - 1102.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Harvard

Lioma, C, Kothari, A & Schuetze, H 2011, Sense Discrimination for Physics Retrieval. in SIGIR’11: July 24–28, 2011, Beijing, China. Association for Computing Machinery, pp. 1101 - 1102, 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, Beijing, China, 25/07/2011. https://doi.org/10.1145/2009916.2010069

APA

Lioma, C., Kothari, A., & Schuetze, H. (2011). Sense Discrimination for Physics Retrieval. In SIGIR’11: July 24–28, 2011, Beijing, China (pp. 1101 - 1102). Association for Computing Machinery. https://doi.org/10.1145/2009916.2010069

Vancouver

Lioma C, Kothari A, Schuetze H. Sense Discrimination for Physics Retrieval. In SIGIR’11: July 24–28, 2011, Beijing, China. Association for Computing Machinery. 2011. p. 1101 - 1102 https://doi.org/10.1145/2009916.2010069

Author

Lioma, Christina ; Kothari, Alok ; Schuetze, Hinrich. / Sense Discrimination for Physics Retrieval. SIGIR’11: July 24–28, 2011, Beijing, China. Association for Computing Machinery, 2011. pp. 1101 - 1102

Bibtex

@inproceedings{b663df806dd14e40a8ddf2291742a460,
title = "Sense Discrimination for Physics Retrieval",
abstract = "Information Retrieval in technical domains like physics is characterised by long and precise queries, whose meaning is strongly influenced by term context and domain. We treat this as a disambiguation problem, and present initial findings of a retrieval model that posits a higher probability of relevance for documents matching disambiguated query terms. Preliminary evaluation on a real-life physics test collection shows promising performance improvement.",
author = "Christina Lioma and Alok Kothari and Hinrich Schuetze",
note = "Proceeding SIGIR '11 Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval ; 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR ; Conference date: 25-07-2011 Through 29-07-2011",
year = "2011",
doi = "10.1145/2009916.2010069",
language = "English",
pages = "1101 -- 1102",
booktitle = "SIGIR{\textquoteright}11",
publisher = "Association for Computing Machinery",

}

RIS

TY - GEN

T1 - Sense Discrimination for Physics Retrieval

AU - Lioma, Christina

AU - Kothari, Alok

AU - Schuetze, Hinrich

N1 - Proceeding SIGIR '11 Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval

PY - 2011

Y1 - 2011

N2 - Information Retrieval in technical domains like physics is characterised by long and precise queries, whose meaning is strongly influenced by term context and domain. We treat this as a disambiguation problem, and present initial findings of a retrieval model that posits a higher probability of relevance for documents matching disambiguated query terms. Preliminary evaluation on a real-life physics test collection shows promising performance improvement.

AB - Information Retrieval in technical domains like physics is characterised by long and precise queries, whose meaning is strongly influenced by term context and domain. We treat this as a disambiguation problem, and present initial findings of a retrieval model that posits a higher probability of relevance for documents matching disambiguated query terms. Preliminary evaluation on a real-life physics test collection shows promising performance improvement.

U2 - 10.1145/2009916.2010069

DO - 10.1145/2009916.2010069

M3 - Article in proceedings

SP - 1101

EP - 1102

BT - SIGIR’11

PB - Association for Computing Machinery

T2 - 34th International ACM SIGIR Conference on Research and Development in Information Retrieval

Y2 - 25 July 2011 through 29 July 2011

ER -

ID: 38240059