Detailed Information on Publication Record
2016
Math Indexer and Searcher under the Hood: Fine-Tuning Query Expansion and Unification Strategies
RŮŽIČKA, Michal, Petr SOJKA and Martin LÍŠKABasic information
Original name
Math Indexer and Searcher under the Hood: Fine-Tuning Query Expansion and Unification Strategies
Authors
RŮŽIČKA, Michal (203 Czech Republic, belonging to the institution), Petr SOJKA (203 Czech Republic, guarantor, belonging to the institution) and Martin LÍŠKA (703 Slovakia, belonging to the institution)
Edition
Tokyo, Proceedings of the 12th NTCIR Conference on Evaluation of Information Access Technologies, p. 331-337, 7 pp. 2016
Publisher
National Institute of Informatics, 2-1-2 Hitotsubashi, Chiyoda-ku, Tokyo 101-8430 Japan
Other information
Language
English
Type of outcome
Stať ve sborníku
Field of Study
10201 Computer sciences, information science, bioinformatics
Country of publisher
Japan
Confidentiality degree
není předmětem státního či obchodního tajemství
Publication form
electronic version available online
References:
RIV identification code
RIV/00216224:14330/16:00090089
Organization unit
Faculty of Informatics
ISBN
978-4-86049-071-3
Keywords (in Czech)
podobnostní vyhledávání; získávání matematických informací; MIaS; vyhodnocení; MathML; expanze dotazů
Keywords in English
similarity search; math information retrieval; MIaS; evaluation; MathML; query expansion
Tags
Tags
International impact
Změněno: 22/10/2019 12:01, doc. RNDr. Petr Sojka, Ph.D.
Abstract
V originále
This paper summarizes the experience of Math Information Retrieval team of Masaryk University (MIRMU) with the NTCIR-12 MathIR arXiv Main Task and its subtasks. We based our approach on the MIaS system. Based on NTCIR-11 Math-2 Task relevance judgements, we developed an evaluation platform. Using this platform we rigorously evaluated combinations of new features and picked the most promising ones for the NTCIR-12 evaluation. The new features tested are mostly aimed at further canonicalizing MathML input, structurally unifying formulae for syntactic-based similarity search and query expansion when combining text and math query terms.
Links
MUNI/A/0892/2015, interní kód MU |
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MUNI/A/0935/2015, interní kód MU |
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