Mining features for sequence classification
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Theory of Indexing
First steps in building a model for the retrieval of court decisions
International Journal of Human-Computer Studies
Summarizing scientific articles: experiments with relevance and rhetorical status
Computational Linguistics - Summarization
Periods, capitalized words, etc.
Computational Linguistics
Building a large annotated corpus of English: the penn treebank
Computational Linguistics - Special issue on using large corpora: II
Automatic rule induction for unknown-word guessing
Computational Linguistics
An annotation scheme for discourse-level argumentation in research articles
EACL '99 Proceedings of the ninth conference on European chapter of the Association for Computational Linguistics
The Penn Treebank: annotating predicate argument structure
HLT '94 Proceedings of the workshop on Human Language Technology
What's yours and what's mine: determining intellectual attribution in scientific text
EMNLP '00 Proceedings of the 2000 Joint SIGDAT conference on Empirical methods in natural language processing and very large corpora: held in conjunction with the 38th Annual Meeting of the Association for Computational Linguistics - Volume 13
Introduction to the CoNLL-2001 shared task: clause identification
ConLL '01 Proceedings of the 2001 workshop on Computational Natural Language Learning - Volume 7
Sequence modelling for sentence classification in a legal summarisation system
Proceedings of the 2005 ACM symposium on Applied computing
Generating legal arguments and predictions from case texts
ICAIL '05 Proceedings of the 10th international conference on Artificial intelligence and law
Automatic legal text summarisation: experiments with summary structuring
ICAIL '05 Proceedings of the 10th international conference on Artificial intelligence and law
Extractive summarisation of legal texts
Artificial Intelligence and Law - AI & law in eGovernment and eDemocracy part I
Automatic Extraction of Pedagogic Metadata from Learning Content
International Journal of Artificial Intelligence in Education
Improving Legal Document Summarization Using Graphical Models
Proceedings of the 2006 conference on Legal Knowledge and Information Systems: JURIX 2006: The Nineteenth Annual Conference
NLP-based metadata extraction for legal text consolidation
Proceedings of the 12th International Conference on Artificial Intelligence and Law
Automatically classifying case texts and predicting outcomes
Artificial Intelligence and Law
Artificial Intelligence and Law
Legal language and legal knowledge management applications
Semantic Processing of Legal Texts
A Two-Phase Framework for Learning Logical Structures of Paragraphs in Legal Articles
ACM Transactions on Asian Language Information Processing (TALIP)
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We report on the SUM project which applies automatic summarisation techniques to the legal domain. We describe our methodology whereby sentences from the text are classified according to their rhetorical role in order that particular types of sentence can be extracted to form a summary. We describe some experiments with judgments of the House of Lords: we have performed automatic linguistic annotation of a small sample set and then hand-annotated the sentences in the set in order to explore the relationship between linguistic features and argumentative roles. We use state-of-the-art NLP techniques to perform the linguistic annotation using XML-based tools and a combination of rule-based and statistical methods. We focus here on the predictive capacity of tense and aspect features for a classifier.