A language for legal Discourse I. basic features
ICAIL '89 Proceedings of the 2nd international conference on Artificial intelligence and law
An implementation of Eisner v. Macomber
ICAIL '95 Proceedings of the 5th international conference on Artificial intelligence and law
Finding legally relevant passages in case opinions
Proceedings of the 6th international conference on Artificial intelligence and law
Abstracting of legal cases: the SALOMON experience
Proceedings of the 6th international conference on Artificial intelligence and law
Proceedings of the seventh international conference on Information and knowledge management
ICAIL '99 Proceedings of the 7th international conference on Artificial intelligence and law
Improving the representation of legal case texts with information extraction methods
Proceedings of the 8th international conference on Artificial intelligence and law
POWER: using UML/OCL for modeling legislation - an application report
Proceedings of the 8th international conference on Artificial intelligence and law
PROLOG and Natural Language Analysis
PROLOG and Natural Language Analysis
Discriminative Reranking for Natural Language Parsing
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Head-driven statistical models for natural language parsing
Head-driven statistical models for natural language parsing
Building a large annotated corpus of English: the penn treebank
Computational Linguistics - Special issue on using large corpora: II
A maximum entropy approach to identifying sentence boundaries
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
Intricacies of Collins' Parsing Model
Computational Linguistics
Head-Driven Statistical Models for Natural Language Parsing
Computational Linguistics
Automatic semantics extraction in law documents
ICAIL '05 Proceedings of the 10th international conference on Artificial intelligence and law
A question-answering system for Portuguese juridical documents
ICAIL '05 Proceedings of the 10th international conference on Artificial intelligence and law
Coarse-to-fine n-best parsing and MaxEnt discriminative reranking
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Wide-coverage semantic representations from a CCG parser
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Extracting semantic annotations from legal texts
Proceedings of the 20th ACM conference on Hypertext and hypermedia
Towards Semantic Interpretation of Legal Modifications through Deep Syntactic Analysis
Proceedings of the 2008 conference on Legal Knowledge and Information Systems: JURIX 2008: The Twenty-First Annual Conference
NLP-based extraction of modificatory provisions semantics
Proceedings of the 12th International Conference on Artificial Intelligence and Law
Semantic Annotation of Legal Modificatory Provisions
AI*IA '09: Proceedings of the XIth International Conference of the Italian Association for Artificial Intelligence Reggio Emilia on Emergent Perspectives in Artificial Intelligence
Automatically classifying case texts and predicting outcomes
Artificial Intelligence and Law
Artificial Intelligence and Law
A corpus of Australian contract language: description, profiling and analysis
Proceedings of the 13th International Conference on Artificial Intelligence and Law
AZOM: a Persian structured text summarizer
NLDB'11 Proceedings of the 16th international conference on Natural language processing and information systems
Developing a comprehensive patent related information retrieval tool
Journal of Theoretical and Applied Electronic Commerce Research
Legal language and legal knowledge management applications
Semantic Processing of Legal Texts
Approaches to text mining arguments from legal cases
Semantic Processing of Legal Texts
Automated classification of norms in sources of law
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)
Semantic annotation of legal texts through a framenet-based approach
AICOL'11 Proceedings of the 25th IVR Congress conference on AI Approaches to the Complexity of Legal Systems: models and ethical challenges for legal systems, legal language and legal ontologies, argumentation and software agents
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One of the main obstacles to progress in the field of artificial intelligence and law is the natural language barrier, but the technology of natural language processing has advanced recently. In this paper, we will show that a state-of-the-art statistical parser can handle even the complex syntactic constructions of an appellate court judge, and that a deep semantic interpretation of the full text of a judicial opinion can be computed automatically from the output of the parser. Our ultimate goal is to use this semantic interpretation to extract from a judicial opinion precisely the information that a lawyer wants to know about a case.