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Lanser, Bettina: Methods for Efficient Ontology Lexicalization for Non-Indo-European Languages: The Case of Japanese. 2017
Inhalt
List of Tables
List of Figures
List of Abbreviations
Introduction
Motivation
Task Definition
Research Questions
Publications
Preliminaries
Overview
Computational Lexicography
Overview
Lexicons and Ontologies
Crowdsourcing
lemon
M-ATOLL
Japanese
Dependency Grammar and Dependency Parsing
Related Work
Crowdsourcing in NLP
Automatic Induction of Lexica
Lexicalization of Ontologies
Crowdsourcing Ontology Lexicons
Overview
Methodology
Overall Workflow
Choice of Crowdsourcing Platform
Quality Control
Test Stage
Overview
Translation Stage
Evaluation Stage
Evaluation
Evaluation Task vs. Majority Decision
Alternative Workflow
Costs
Outlook
Adapting M-ATOLL to Japanese
Overview
Input Format
Sentence Extraction and Preprocessing
Introduction
Choice of Entity Labels
Datatype Properties
SPARQL Queries for Japanese
Pattern Generation Process
Noun Patterns
Verb Patterns
Lexicon Entry Generation
Evaluation
SPARQL Queries
Verbalizations Retrieved by M-ATOLL
Discussion
Comparison of Crowdsourcing and M-ATOLL
Conclusion and Outlook
Requirements and Research Questions Revisited
Requirements
Research Questions
Future Work
Summary
Bibliography