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STATISTICAL RELATIONAL LEARNING GROUP @ UMD



 

Opinion Graphs for Polarity and Discourse Classification

TextGraphs-4: Graph-based Methods for Natural Language Processing - August 2009
Download the publication : somasundaran-textgraphs09.pdf [296Ko]  
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",
}

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