DMCA
Enhancing Semantic Annotation through Coreference Chaining: An Ontology-based Approach
Cached
Download Links
| Citations: | 1 - 0 self |
BibTeX
@MISC{Lech_enhancingsemantic,
author = {Till Christopher Lech and Koenraad De Smedt},
title = {Enhancing Semantic Annotation through Coreference Chaining: An Ontology-based Approach},
year = {}
}
Share
 |
 |
 |
 |
||
OpenURL
Abstract
Abstract. Semantic annotation of natural language text requires a certain degree of understanding of the document in question. Especially the resolution of unclear reference is a major challenge when detecting relevant information units in a document. The ongoing KunDoc project examines how domain specific ontologies can support the task of Coreference chaining in order to enhance applications such as automatic annotation, information extraction or automatic summarization. In this paper, we present a robust methodology for acquisition of semantic contexts that does not depend on a thorough syntactic parsing as necessary tools often are unavailable for “smaller ” languages. Based on a shallow corpus-analysis, verb-subject relations constitute the framework for the extraction of semantic contexts. Our approach either adds the semantic contexts to concepts and instances in an existing ontology or builds up the domain knowledge necessary for coreference chaining from scratch.
Keyphrases
semantic annotation coreference chaining semantic context ontology-based approach domain knowledge necessary tool relevant information unit natural language text robust methodology verb-subject relation ongoing kundoc project certain degree thorough syntactic parsing information extraction domain specific ontology unclear reference shallow corpus-analysis automatic annotation automatic summarization major challenge
