An Architecture for Scientific Document Retrieval Using Textual
and Math Entailment Modules

D 2014

An Architecture for Scientific Document Retrieval Using Textual and Math Entailment Modules

PAKRAY, Partha and Petr SOJKA

Basic information

Original name

An Architecture for Scientific Document Retrieval Using Textual and Math Entailment Modules

Authors

PAKRAY, Partha (356 India, belonging to the institution) and Petr SOJKA (203 Czech Republic, guarantor, belonging to the institution)

Edition

Brno, Eighth Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2014, p. 107-117, 11 pp. 2014

Publisher

Tribun EU

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

Czech Republic

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

printed version "print"

References:

preprint článku DOI

RIV identification code

RIV/00216224:14330/14:00077458

Organization unit

Faculty of Informatics

ISSN

DOI

http://dx.doi.org/10.13140/2.1.4036.2561

UT WoS

000374560500014

Keywords (in Czech)

reprezentace jazyka; výběr významu; výběr významového slova; výběr významu slova; diskretizace reprezentace; reprezentace významu; empirická lingvistika

Keywords in English

natural language representation; priming; lexical priming; semantic priming; data discretization; language modelling; representation of meaning; personal mental lexicon; empirical linguistics

Abstract

V originále

We present an architecture for scientific document retrieval. An existing system for textual and math-ware retrieval Math Indexer and Searcher MIaS is designed for extensions by modules for textual and math-aware entailment. The goal is to increase quality of retrieval (precision and recall) by handling natural languge variations of expressing semantically the same in texts and/or formulae. Entailment modules are designed to use several, ordered layers of processing on lexical, syntactic and semantic levels using natural language processing tools adapted for handling tree structures like mathematical formulae. If these tools are not able to decide on the entailment, generic knowledge databases are used deploying distributional semantics methods and tools. It is shown that sole use of distributional semantics for semantic textual entailment decisions on sentence level is surprisingly good. Finally, further research plans to deploy results in the digital mathematical libraries are outlined.

Links

LG13010, research and development project

Name: Zastoupení ČR v European Research Consortium for Informatics and Mathematics (Acronym: ERCIM-CZ)

Investor: Ministry of Education, Youth and Sports of the CR

250503, interní kód MU

Name: The European Digital Mathematics Library (Acronym: EuDML)

Investor: European Union

Citovat

PAKRAY, Partha and Petr SOJKA. An Architecture for Scientific Document Retrieval Using Textual and Math Entailment Modules. In Eighth Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2014. Brno: Tribun EU, 2014, p. 107-117. ISSN 2336-4289. Available from: https://dx.doi.org/10.13140/2.1.4036.2561.

@inproceedings{1210448,
   author = {Pakray, Partha and Sojka, Petr},
   address = {Brno},
   booktitle = {Eighth Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2014},
   doi = {http://dx.doi.org/10.13140/2.1.4036.2561},
   keywords = {natural language representation; priming; lexical priming; semantic priming; data discretization; language modelling; representation of meaning; personal mental lexicon; empirical linguistics},
   howpublished = {tištěná verze "print"},
   language = {eng},
   location = {Brno},
   pages = {107-117},
   publisher = {Tribun EU},
   title = {An Architecture for Scientific Document Retrieval Using Textual and Math Entailment Modules},
   url = {http://www.fi.muni.cz/usr/sojka/papers/pakray-sojka-raslan2014.pdf},
   year = {2014}
}

TY  - JOUR
ID  - 1210448
AU  - Pakray, Partha - Sojka, Petr
PY  - 2014
TI  - An Architecture for Scientific Document Retrieval Using Textual and Math Entailment Modules
PB  - Tribun EU
CY  - Brno
KW  - natural language representation
KW  - priming
KW  - lexical priming
KW  - semantic priming
KW  - data discretization
KW  - language modelling
KW  - representation of meaning
KW  - personal mental lexicon
KW  - empirical linguistics
UR  - http://www.fi.muni.cz/usr/sojka/papers/pakray-sojka-raslan2014.pdf
L2  - https://dx.doi.org/10.13140/2.1.4036.2561
N2  - We present an architecture for scientific document retrieval. An existing system for textual and math-ware retrieval Math Indexer and Searcher MIaS is designed for extensions by modules for textual and math-aware entailment. The goal is to increase quality of retrieval (precision and recall) by handling natural languge variations of expressing semantically the same in texts and/or formulae. Entailment modules are designed to use several, ordered layers of processing on lexical, syntactic and semantic levels using natural language processing tools adapted for handling tree structures like mathematical formulae. If these tools are not able to decide on the entailment, generic knowledge databases are used deploying distributional semantics methods and tools. It is shown that sole use of distributional semantics for semantic textual entailment decisions on sentence level is surprisingly good. Finally, further research plans to deploy results in the digital mathematical libraries are outlined.
ER  -

PAKRAY, Partha and Petr SOJKA. An Architecture for Scientific Document Retrieval Using Textual and Math Entailment Modules. In \textit{Eighth Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2014}. Brno: Tribun EU, 2014, p.~107-117. ISSN~2336-4289. Available from: https://dx.doi.org/10.13140/2.1.4036.2561.

Detailed Information on Publication Record