Ensembling Ten Math Information Retrieval Systems: MIRMU and
MSM at ARQMath 2021

D 2021

Ensembling Ten Math Information Retrieval Systems: MIRMU and MSM at ARQMath 2021

NOVOTNÝ, Vít, Michal ŠTEFÁNIK, Dávid LUPTÁK, Martin GELETKA, Petr ZELINA et. al.

Basic information

Original name

Ensembling Ten Math Information Retrieval Systems: MIRMU and MSM at ARQMath 2021

Authors

NOVOTNÝ, Vít (203 Czech Republic, belonging to the institution), Michal ŠTEFÁNIK (703 Slovakia, belonging to the institution), Dávid LUPTÁK (703 Slovakia, belonging to the institution), Martin GELETKA (703 Slovakia, belonging to the institution), Petr ZELINA (203 Czech Republic, belonging to the institution) and Petr SOJKA (203 Czech Republic, belonging to the institution)

Edition

Bucharest, Romania, CEUR Workshop Proceedings, p. 82-106, 25 pp. 2021

Publisher

M. Jeusfeld c/o Redaktion Sun SITE, Informatik V, RWTH Aachen

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

Romania

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

electronic version available online

References:

PDF

RIV identification code

RIV/00216224:14330/21:00122410

Organization unit

Faculty of Informatics

ISSN

Keywords (in Czech)

vyhledávání matematiky; odpovědi na otázky; reprezentace matematiky; slovní embedingy; ansámbl

Keywords in English

math information retrieval; question answering; math representations; word embeddings; ensembling

Abstract

V originále

We report on the systems that the Math Information Retrieval group at Masaryk University (MIRMU) and the team of Faculty of Informatics students (MSM) prepared for task~1 (find answers) of the ARQMath lab at the CLEF conference. We have prototyped ten math-aware information retrieval (MIR) systems for the main question-answering task. We ensembled the results of the ten ``weak'' individual systems into committees and let them vote to provide answers to questions. We evaluated the proposed individual systems and ensembles, considering their diversity, hyperparameters, and representations used, and classified their approaches. We have shown the diversity of all systems and evaluated four voting algorithms to collect and rank the answers. Ensembling techniques consistently outperformed the base systems and showed the power of voting of diverse systems. Our prototypes help to understand the challenging problems of question-answering in the STEM domain and our novel reproducible evaluation framework sets a new direction in MIR research. Finally, we formulate ten commandments for future work in the area.

Links

MUNI/A/1573/2020, interní kód MU

Name: Aplikovaný výzkum: vyhledávání, analýza a vizualizace rozsáhlých dat, zpracování přirozeného jazyka, umělá inteligence pro analýzu biomedicínských obrazů.

Investor: Masaryk University

Citovat

NOVOTNÝ, Vít, Michal ŠTEFÁNIK, Dávid LUPTÁK, Martin GELETKA, Petr ZELINA and Petr SOJKA. Ensembling Ten Math Information Retrieval Systems: MIRMU and MSM at ARQMath 2021. Online. In Guglielmo Faggioli. CEUR Workshop Proceedings. Bucharest, Romania: M. Jeusfeld c/o Redaktion Sun SITE, Informatik V, RWTH Aachen, 2021, p. 82-106. ISSN 1613-0073.

@inproceedings{1793382,
   author = {Novotný, Vít and Štefánik, Michal and Lupták, Dávid and Geletka, Martin and Zelina, Petr and Sojka, Petr},
   address = {Bucharest, Romania},
   booktitle = {CEUR Workshop Proceedings},
   editor = {Guglielmo Faggioli},
   keywords = {math information retrieval; question answering; math representations; word embeddings; ensembling},
   howpublished = {elektronická verze "online"},
   language = {eng},
   location = {Bucharest, Romania},
   pages = {82-106},
   publisher = {M. Jeusfeld c/o Redaktion Sun SITE, Informatik V, RWTH Aachen},
   title = {Ensembling Ten Math Information Retrieval Systems: MIRMU and MSM at ARQMath 2021},
   url = {http://ceur-ws.org/Vol-2936/paper-06.pdf},
   year = {2021}
}

TY  - JOUR
ID  - 1793382
AU  - Novotný, Vít - Štefánik, Michal - Lupták, Dávid - Geletka, Martin - Zelina, Petr - Sojka, Petr
PY  - 2021
TI  - Ensembling Ten Math Information Retrieval Systems: MIRMU and MSM at ARQMath 2021
PB  - M. Jeusfeld c/o Redaktion Sun SITE, Informatik V, RWTH Aachen
CY  - Bucharest, Romania
KW  - math information retrieval
KW  - question answering
KW  - math representations
KW  - word embeddings
KW  - ensembling
UR  - http://ceur-ws.org/Vol-2936/paper-06.pdf
N2  - We report on the systems that the Math Information Retrieval group at Masaryk University (MIRMU) and the team of Faculty of Informatics students (MSM) prepared for task~1 (find answers) of the ARQMath lab at the CLEF conference. We have prototyped ten math-aware information retrieval (MIR) systems for the main question-answering task. We ensembled the results of the ten ``weak'' individual systems into committees and let them vote to provide answers to questions. We evaluated the proposed individual systems and ensembles, considering their diversity, hyperparameters, and representations used, and classified their approaches. We have shown the diversity of all systems and evaluated four voting algorithms to collect and rank the answers. Ensembling techniques consistently outperformed the base systems and showed the power of voting of diverse systems. Our prototypes help to understand the challenging problems of question-answering in the STEM domain and our novel reproducible evaluation framework sets a new direction in MIR research. Finally, we formulate ten commandments for future work in the area.
ER  -

NOVOTNÝ, Vít, Michal ŠTEFÁNIK, Dávid LUPTÁK, Martin GELETKA, Petr ZELINA and Petr SOJKA. Ensembling Ten Math Information Retrieval Systems: MIRMU and MSM at ARQMath 2021. Online. In Guglielmo Faggioli. \textit{CEUR Workshop Proceedings}. Bucharest, Romania: M. Jeusfeld c/o Redaktion Sun SITE, Informatik V, RWTH Aachen, 2021, p.~82-106. ISSN~1613-0073.

Detailed Information on Publication Record