Prepoznavanje i klasifikacija imenovanih entiteta za jezično sučelje bazi podataka

undergraduate thesis

• Title (english): Entity Recognition and Classification for a Natural Language Database Interface
• Author: Ivan Mršić
• Mentor: Jan Šnajder (mentor)
• Committee member: Jan Šnajder (predsjednik povjerenstva)
• Committee member: Domagoj Alagić (član povjerenstva)
• Committee member: Martin Tutek (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2017-07-10, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

Zbog uvijek prisutne ljudske potrebe za razumijevanjem što većih količina podataka i rasta računalne snage baze grafova dobivaju na popularnosti. Još jedan korak k boljoj integraciji čovjeka i računala jest izrada jezičnog sučelja za komunikaciju s takvom bazom. U ovom radu razvijen je i ispitan sustav za izvlačenje entiteta iz upita u svrhu izgradnje takvog sučelja, pogotovo imenovanih entiteta te su u tu svrhu izgrađena četiri modela. Dobiveni rezultati su ohrabrujući, te pokazuju da se i na vrlo malom skupu podataka mogu naučiti modeli koji rade sa specijaliziranim upitima.

Abstract (english)

Because of the always present human need for understanding big quantities of data
and computer power growth, graph databases are gaining in popularity. Another step in
a better connection of human and the computer would be a natural language interface
for communication with such a database. This thesis describes the development and
evaluation of a entity extraction from queries, which is part of such natural language
interface. Special attention was given to named entity extraction. Four models were
built for this purpose. End results are encouraging, showing that even on small datasets
models can be created to deduct from specialized queries.

• Keywords: Obrada prirodnog jezika; izvlačenje imenovanih entiteta; stroj potpornih vektora; stabla odluke; CRF; jezično sučelje; graf baza podataka
• Keywords (english): Natural language processing; named entity extraction; support vector machine; decision trees; CRF; natural language interface; graph database
• Language: english
• URN:NBN: urn:nbn:hr:168:937615
• Study programme: Title: Computing; Study programme type: university; Study level: undergraduate; Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2019-03-13 23:17:20