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Senti-LSSVM: Sentiment-Oriented Multi-Relation Extraction with Latent Structural SVM

Qu, Lizhen; Zhang, Yi; Wang, Rui; Jiang, Lili; Gemulla, Rainer; Weikum, Gerhard


Extracting instances of sentiment-oriented relations from user-generated web documents is important for online marketing analysis. Unlike previous work, we formulate this extraction task as a structured prediction problem and design the corresponding inference as an integer linear program. Our latent structural SVM based model can learn from training corpora that do not contain explicit annotations of sentiment-bearing expressions, and it can simultaneously recognize instances of both binary...[Show more]

CollectionsANU Research Publications
Date published: 2014
Type: Journal article
Source: Transactions of the Association for Computational Linguistics
DOI: 10.1162/tacl_a_00173
Access Rights: Open Access


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