Understanding Search Queries in Natural Language

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F18%3A00109726" target="_blank" >RIV/00216224:14330/18:00109726 - isvavai.cz</a>

Result on the web

<a href="https://nlp.fi.muni.cz/raslan/2018/paper07-Neverilova_Kvassay.pdf" target="_blank" >https://nlp.fi.muni.cz/raslan/2018/paper07-Neverilova_Kvassay.pdf</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Understanding Search Queries in Natural Language

Original language description

This work is part of a project aiming to provide one single search endpoint for all company data. We present a search query parser that takes a speech-to-text output, i.e. a sentence. The output is a structured representation of the search query from which a SPARQL query is generated. The SPARQL is then applied to an ontology with the company data. The parsing procedure consists of two steps. First, the search intent is detected, second, the query is parsed based on the search intent. For the intent classification, we use word embeddings with boosting of top 5 words, and support vector machines. For the parsing, we use semantic role labeling, named entity recognition, and external resources such as ConceptNet and DBPedia. The final parsing step is rule-based and related to the ontology structure. The intent classifier accuracy is 94%. In the subsequent manual evaluation,the resulting structures were complete and correct in 51% cases, in 34.57% of cases it was complete and correct but it also contained irrelevant information.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/EF16_013%2F0001781" target="_blank" >EF16_013/0001781: LINDAT/CLARIN - Research infrastructure for language technologies - extension of the repository and its computational power</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2018

Confidentiality

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

Article name in the collection

Proceedings of Recent Advances in Slavonic Natural Language Processing, RASLAN 2018

ISBN

9788026315179

ISSN

2336-4289

e-ISSN

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Number of pages

9

Pages from-to

85-93

Publisher name

Tribun EU

Place of publication

Brno

Event location

Karlova Studánka

Event date

Dec 7, 2018

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

000612420300011