Query-based opinion summarization for legal blog entries

Jack G. Conrad, Jochen L. Leidner, Frank Schilder, Ravi Kondadadi
2009 Proceedings of the 12th International Conference on Artificial Intelligence and Law - ICAIL '09  
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
more » ... t 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.
doi:10.1145/1568234.1568253 dblp:conf/icail/ConradLSK09 fatcat:imnarbauozbixgd32zzlly7m5m