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 Correia | 1 | 14 | 3.83 |
Nuno J. Mamede | 2 | 310 | 57.76 |
Jorge Baptista | 3 | 92 | 22.45 |
Maxine Eskenazi | 4 | 979 | 127.53 |