Title
Toward Automatic Classification of Metadiscourse.
Abstract
This paper describes the supervised classification of four metadiscursive functions in English. Training data is collected using crowdsourcing to label a corpus of TED talks transcripts with occurrences of Introductions, Conclusions, Examples, and Emphasis. Using decision trees and lexical features, we report classification accuracy.
Year
DOI
Venue
2014
10.1007/978-3-319-10888-9_27
ADVANCES IN NATURAL LANGUAGE PROCESSING
Field
DocType
Volume
Training set,Decision tree,Metadiscourse,Computer science,Sentiment analysis,Crowdsourcing,Computational linguistics,Artificial intelligence,Natural language processing,Word-sense disambiguation
Conference
8686
ISSN
Citations 
PageRank 
0302-9743
0
0.34
References 
Authors
10
4
Name
Order
Citations
PageRank
Rui Correia1143.83
Nuno J. Mamede231057.76
Jorge Baptista39222.45
Maxine Eskenazi4979127.53