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

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F14%3A00077458" target="_blank" >RIV/00216224:14330/14:00077458 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.dx.org/10.13140/2.1.4036.2561" target="_blank" >https://doi.dx.org/10.13140/2.1.4036.2561</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.13140/2.1.4036.2561" target="_blank" >10.13140/2.1.4036.2561</a>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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 outlin

Název v anglickém jazyce

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

Popis výsledku anglicky

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 outlin

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/LG13010" target="_blank" >LG13010: Zastoupení ČR v European Research Consortium for Informatics and Mathematics</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2014

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Eighth Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2014

ISBN

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ISSN

2336-4289

e-ISSN

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Počet stran výsledku

11

Strana od-do

107-117

Název nakladatele

Tribun EU

Místo vydání

Brno

Místo konání akce

Karlova Studánka

Datum konání akce

1. 1. 2014

Typ akce podle státní příslušnosti

CST - Celostátní akce

Kód UT WoS článku

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