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
Proceedings paper
		Field of Study
10201 Computer sciences, information science, bioinformatics
		Country of publisher
Japan
		Confidentiality degree
is not subject to a state or trade secret
		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
		
				
				Changed: 22/10/2019 12:01, doc. RNDr. Petr Sojka, Ph.D.
				
		Abstract
In the original language
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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