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ICAIL
2009
ACM

Query-based opinion summarization for legal blog entries

9 years 6 months ago
Query-based opinion summarization for legal blog entries
We present the first report of automatic sentiment summarization in the legal domain. This work is based on processing a set of legal questions with a system consisting of a semi-automatic Web blog search module and FastSum, a fully automatic extractive multi-document sentiment summarization system. We provide quantitative evaluation results of the summaries using legal expert reviewers. We report baseline evaluation results for query-based sentiment summarization for legal blogs: on a five-point scale, average responsiveness and linguistic quality are slightly higher than 2 (with human inter-rater agreement at κ = 0.75). To the best of our knowledge, this is the first evaluation of sentiment summarization in the legal blogosphere. Categories and Subject Descriptors H.3.0.a [Information Storage and Retrieval]: General—Question Answering and Summarization; I.2.7.i [Information Storage and Retrieval]: Natural Language Processing—Opinion Mining General Terms Modeling, Experimenta...
Jack G. Conrad, Jochen L. Leidner, Frank Schilder,
Added 28 May 2010
Updated 28 May 2010
Type Conference
Year 2009
Where ICAIL
Authors Jack G. Conrad, Jochen L. Leidner, Frank Schilder, Ravi Kondadadi
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