Extracting Opinion Expressions with semi-Markov Conditional Random Fields

Citation

 author    = {Yang, Bishan  and  Cardie, Claire},
 title     = {Extracting Opinion Expressions with semi-Markov Conditional Random Fields},
 booktitle = {Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning},
 month     = {July},
 year      = {2012},
 address   = {Jeju Island, Korea},
 publisher = {Association for Computational Linguistics},
 pages     = {1335--1345},

Online version

ACLWEB 2012

Summary

This paper proposes a segment level sequence labeling technique using semi-CRFs. The main focus of the paper is to identify two types of opinion expressions in the corpus. First, direct subjective expressions. Secondly, direct expressive subjective expressions.

Background

The previous work of sequence tagging in natural language processing has been limited to token level. T

Study Plan

This paper uses semi-CRF for the labeling task. So the user should first read about semi-CRF.

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