ACM Computing Surveys (CSUR)
Unsupervised document classification using sequential information maximization
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Performance Evaluation of Some Clustering Algorithms and Validity Indices
IEEE Transactions on Pattern Analysis and Machine Intelligence
Cluster ensembles --- a knowledge reuse framework for combining multiple partitions
The Journal of Machine Learning Research
Sentiment Classification Using Phrase Patterns
CIT '04 Proceedings of the The Fourth International Conference on Computer and Information Technology
An unsupervised approach to recognizing discourse relations
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Automatic detection of arguments in legal texts
Proceedings of the 11th international conference on Artificial intelligence and law
A comparison of extrinsic clustering evaluation metrics based on formal constraints
Information Retrieval
Artificial Intelligence and Law
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This paper describes the outcomes of experiments in automated support for argument reconstruction from natural language texts. We investigated several possibilities to support a manual process by using natural language processing, from classifying pieces of text as either argumentative or non-argumentative to clustering text fragments in the hope that these clusters would contain similar arguments. Results are diverse, but also show that we cannot come a long way without an extensive pre-tagged corpus.