
LINQS
STATISTICAL RELATIONAL LEARNING GROUP @ UMD
Opinion Graphs for Polarity and Discourse Classification
TextGraphs-4: Graph-based Methods for Natural Language Processing - August 2009
This work shows how to construct
discourse-level opinion graphs to perform
a joint interpretation of opinions and
discourse relations. Specifically, our opinion
graphs enable us to factor in discourse
information for polarity classification, and
polarity information for discourse-link
classification. This inter-dependent framework
can be used to augment and
improve the performance of local polarity
and discourse-link classifiers.
BibTex references
@InProceedings{somasundaran:textgraphs09,
author = "Somasundaran, Swapna and Namata, Galileo Mark and Getoor, Lise and Wiebe, Janyce",
title = "Opinion Graphs for Polarity and Discourse Classification",
booktitle = "TextGraphs-4: Graph-based Methods for Natural Language Processing",
month = "August",
year = "2009",
}
![somasundaran-textgraphs09.pdf [296Ko]](/basilic/web/Publications/images/pdf.png)

