Paper Info
Title
Multi-Layer Discourse Annotation of a Dutch Text Corpus.
Abstract
We have compiled a corpus of 80 Dutch texts from expository and persuasive genres, which we annotated for rhetorical and genre-specific discourse structure, and lexical cohesion with the goal of creating a gold standard for further research. The annotations are based on a segmentation of the text in elementary discourse units that takes into account cues from syntax and punctuation. During the labor-intensive discourse-structure annotation (RST analysis), we took great care to thoroughly reconcile the initial analyses. That process and the availability of two independent initial analyses for each text allows us to analyze our disagreements and to assess the confusability of RST relations, and thereby improve the annotation guidelines and gather evidence for the classification of these relations into larger groups. We are using this resource for corpus-based studies of discourse relations, discourse markers, cohesion, and genre differences, e.g., the question of how discourse structure and lexical cohesion interact for different genres in the overall organization of texts. We are also exploring automatic text segmentation and semi-automatic discourse annotation.
Year
Venue
Keywords
2012
LREC 2012 - EIGHTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION
discourse structure,coherence relations,lexical cohesion
Field
DocType
Citations 
Annotation,Computer science,Text corpus,Rhetorical question,Text segmentation,Artificial intelligence,Corpus linguistics,Natural language processing,Linguistics,Syntax,Punctuation,Discourse marker
Conference
2
PageRank 
References 
Authors
0.38
7
5
Name
Order
Citations
PageRank
Gisela Redeker193.66
Ildikó Berzlánovich220.38
Nynke van der Vliet320.71
Gosse Bouma448370.88
Markus Egg58711.88