Knowledge acquisition for coreference resolution [Elektronische Ressource] / vorgelegt von Olga Uryupina
280 Pages
English
Downloading requires you to have access to the YouScribe library
Learn all about the services we offer

Knowledge acquisition for coreference resolution [Elektronische Ressource] / vorgelegt von Olga Uryupina

Downloading requires you to have access to the YouScribe library
Learn all about the services we offer
280 Pages
English

Description

Knowledge Acquisition forCoreference ResolutionDissertationzur Erlangung des akademischen Gradeseines Doktors der Philosophieder Philosophischen Fakult atender Universit at des Saarlandesvorgelegt von Olga Uryupinaaus MoskauSaarbruc ken, 2007Dekan: Prof. Dr. Ulrike DemskeBerichterstatter: Prof. Dr. Manfred PinkalDr. Mirella LapataTag der letzten Prufungsleistung: 1.6.2007AbstractThis thesis addresses the problem of statistical coreference resolution. The-oretical studies describe coreference as a complex linguistic phenomenon, af-fected by various di eren t factors. State-of-the-art statistical approaches, onthe contrary, rely on rather simple knowledge-poor modeling. This thesis aimsat bridging the gap between the theory and the practice.We use insights from linguistic to identify relevant linguistic param-eters of co-referring descriptions. We consider di eren t types of information,from the most shallow name-matching measures to deeper syntactic, semantic,and discourse knowledge. We empirically assess the validity of the investigatedtheoretic predictions for the corpus data. Our data-driven evaluation exper-iments con rm that various linguistic parameters, suggested by theoreticalstudies, interact with coreference and may therefore provide valuable infor-mation for resolution systems. At the same time, our study raises severalissues concerning the coverage of theoretic claims. It thus brings feedback tolinguistic theory.

Subjects

Informations

Published by
Published 01 January 2007
Reads 22
Language English
Document size 1 MB

Exrait