Toward an intelligent tutoring system for teaching law students to argue with cases
ICAIL '91 Proceedings of the 3rd international conference on Artificial intelligence and law
Assessing agreement on classification tasks: the kappa statistic
Computational Linguistics
Text summarization via hidden Markov models
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Optimizing search engines using clickthrough data
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
TREC: Experiment and Evaluation in Information Retrieval (Digital Libraries and Electronic Publishing)
A question-answering system for Portuguese juridical documents
ICAIL '05 Proceedings of the 10th international conference on Artificial intelligence and law
Will pyramids built of nuggets topple over?
HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
Measuring semantic similarity between words using web search engines
Proceedings of the 16th international conference on World Wide Web
Proceedings of the 11th international conference on Artificial intelligence and law
Information Processing and Management: an International Journal
Extractive summarisation of legal texts
Artificial Intelligence and Law - AI & law in eGovernment and eDemocracy part I
Professional credibility: authority on the web
Proceedings of the 2nd ACM workshop on Information credibility on the web
FastSum: fast and accurate query-based multi-document summarization
HLT-Short '08 Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies: Short Papers
Improving Legal Document Summarization Using Graphical Models
Proceedings of the 2006 conference on Legal Knowledge and Information Systems: JURIX 2006: The Nineteenth Annual Conference
Sentiment summarization: evaluating and learning user preferences
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
| Hi-index | 0.00 |
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 k = 0.75). To the best of our knowledge, this is the first evaluation of sentiment summarization in the legal blogosphere.