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Recent Posts
- Land: Participatory Fact-Finding: Developing New Directions for Human Rights Investigations Through New Technologies
- Tech for Justice Hackathon+ Austin: Results, storify, links, and resources
- Tech for Justice Hackathon+ Austin: February 21-22, 2015
- Legal technology activities at Code Across, February 21-22, 2015, MIT Media Lab, Cambridge, Massachusetts
- Ruhl and Katz: Measuring, Monitoring, and Managing Legal Complexity
- deLevie: Tools for working with FCC legal data: fccrcd.link and ecfs.link
- Farina et al.: Democratic Deliberation in the Wild: The McGill Online Design Studio and the RegulationRoom Project
- Starger: Hacking Mass Incarceration
- Marsden: Open Access to Law – How Soon?
- Hackathon on Police Brutality Data in Los Angeles County: Storify, links, and resources
- El Jelali et al.: Legal retrieval as support to eMediation
- Lauritsen: On balance: Regarding reason-balancing in AI and law
- Calls for Papers: Workshops at ICAIL 2015: International Conference on Artificial Intelligence and Law
- Katz and Bommarito: Legal Analytics Course: Website, Course Materials, and Code
- McGinnis on Computational Jurisprudence
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Tag Archives: Semantic analysis of legal texts
Ramakrishna and Paschke: Semi-Automated Vocabulary Building for Structured Legal English
Shashishekar Ramakrishna and Adrian Paschke presented a paper entitled Semi-Automated Vocabulary Building for Structured Legal English, at RuleML 2014: International Web Rule Symposium, held 18-20 August 2014 in Prague. Here is the abstract of the paper: Structured English has been … Continue reading
Posted in Applications, Articles and papers, Conference papers, Technology developments, Technology tools
Tagged Adrian Paschke, Automated construction of legal vocabularies, Automated creation of legal vocabularies, Automated legal rule development, Automated legal vocabulary development, Intellectual property informaton systems, Intellectual property law information systems, International Web Rule Symposium, KR4IPLaw, Legal knowledge representation, Legal text analysis, Legal vocabularies, Modeling legal rules, Patent law information systems, RuleML, RuleML 2014, Semantic analysis of legal texts, Semantic legal text analysis, Semantics and Business Vocabulary Representation, Shashishekar Ramakrishna, Structured English, Structured English and law, Structured Legal English, Use cases in legal informatics
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Lucas et al.: Computer assisted text analysis for comparative politics, and analysis of legal texts
Christopher Lucas, Professor Dr. Richard Nielsen, Margaret E. Roberts, Brandon M. Stewart, Dr. Alex Storer, and Professor Dr. Dustin Tingley presented a paper entitled Computer assisted text analysis for comparative politics, 26 April 2014 at the New Faces in Political … Continue reading
Posted in Applications, Articles and papers, Conference papers, Methodology, Research findings, Technology developments, Technology tools
Tagged Alex Storer, Analysis of Islamic legal texts, Automated analysis of Islamic legal texts, Automated legal text analysis, Automated text analysis, Brandon M. Stewart, Christopher Lucas, Dustin Tingley, Fatwas, Islamic legal texts, Legal text analysis, Margaret E. Roberts, New Faces in Political Methodology, New Faces in Political Methodology 2014, Penn State QSSI, Penn State Quantitative Social Science Initiative, QSSI, Richard Nielsen, Semantic analysis of legal texts, Structural Topic Model, Structural Topic Model and legal texts, Text analysis, Topic modeling, Topic modeling and legal texts, Unsupervised topic modeling, Unsupervised topic modeling and legal texts
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Oldfather et al. on Automated Content Analysis, Court Opinions, and Legal Scholarly Methodology
Professor Chad M. Oldfather of Marquette University School of Law, Professor Dr. Joseph P. Bockhorst of the University of Wisconsin Madison Department of Electrical Engineering and Computer Science, and Brian P. Dimmer, Esq., have published Triangulating Judicial Responsiveness: Automated Content … Continue reading
Posted in Applications, Articles and papers, Research findings
Tagged Automated legal content analysis, Brian P. Dimmer, Chad M. Oldfather, Cosine similarity in legal content analysis, Florida Law Review, Joseph P. Bockhorst, Judicial responsiveness, Legal content analysis, Legal natural language processing, Legal text mining, Legal text processing, Natural language processing and law, Relationship between court decisions and briefs, Relationship between judicial decisions and briefs, Semantic analysis of court decisions, Semantic analysis of judicial decisions, Semantic analysis of legal briefs, Semantic analysis of legal documents, Semantic analysis of legal texts, Semantic processing of court decisions, Semantic processing of judicial decisions, Semantic processing of legal briefs, Semantic processing of legal texts, Statistical methods in legal informatics
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Lu and Conrad on Bringing Order to Legal Documents: An Issue-based Recommendation System via Cluster Association
Qiang Lu and Jack G. Conrad, both of Thomson Reuters, will present a paper entitled Bringing Order to Legal Documents: An Issue-based Recommendation System via Cluster Association, at KEOD 2012: The 4th International Conference on Knowledge Engineering and Ontology Development, … Continue reading
Posted in Articles and papers, Conference papers, Research findings
Tagged Automated subject detection of legal documents, Automated subject detection of legal texts, Automated subject indexing of legal documents, Automated subject indexing of legal texts, Cluster association in legal information retrieval, Cluster association in legal information systems, Cluster labeling in legal information retrieval, Cluster labeling in legal information systems, Computer assisted legal research, International Conferencel on Knowledge Engineering and Ontology Development, Jack Conrad, Jack G. Conrad, KEOD, KEOD 2012, Legal classification, Legal content recommendation systems, Legal document recommendation systems, Legal expert systems, Legal information recommendation systems, Legal information retrieval, Legal issue-based content recommendation systems, Legal issue-based document recommendation systems, Legal knowledge based systems, Legal knowledge representation, Legal recommendation systems, Legal research systems, Legal subject classification, Legal subject detection, Legal topic detection, Qiang Lu, Semantic analysis of legal texts, Topic clusters in legal information retrieval, Topic clusters in legal information systems, Westlaw, Westlaw Next, WestlawNext
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Guissé et al. : From Regulatory Texts to BRMS: Guiding the Acquisition of Business Rules
Abdooulaye Guissé, Professor Dr. François Lévy, and Professor Dr. Adeline Nazarenko, all of Université Paris-Nord Laboratoire d’informatique (LIPN), will present a paper entitled From regulatory texts to BRMS: How to guide the acquisition of business rules? at RuleML 2012: International … Continue reading
Posted in Applications, Articles and papers, Conference papers
Tagged Abdooulaye Guissé, Abdoulaye Guisse, Adeline Nazarenko, and Adeline Nazarenko, Francois Levy, International Symposium on Rules, Legal compliance systems, Legal rule extraction, Legislative information systems, Regulatory information systems, RuleML, RuleML 2012, Semantic analysis of legal documents, Semantic analysis of legal texts, Semex
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Papers Available for SPLeT 2012: Workshop on Semantic Processing of Legal Texts
Full text papers have been posted for SPLeT 2012: Workshop on Semantic Processing of Legal Texts, being held 27 May 2012 in Istanbul, Turkey. Here is the list of papers: Giulia Venturi: Design and Development of TEMIS: a Syntactically and … Continue reading
Posted in Articles and papers, Conference papers, Conference proceedings
Tagged Adam Wyner, Automatic classification of legal documents, Automatic classification of legal information, Computational linguistics and law, Dependency parsing and legal texts, Eunomos, FrameNet, GATE, GATE and legal documents, JurWordNet, Legal computational linguistics, Legal information extraction, Legal knowledge representation, Legal lexical databases, Legal linguistics, Legal natural language processing, Legal ontologies, Legal text analysis, Lexical databases and legal informatics, Machine learning and law, Machine learning and legal texts, Natural language processing, Natural language processing of legal texts, NLP, Parsing court decisions, Parsing judicial decisions, Parsing legal texts, Semantic analysis of legal texts, Semantic annotation of legal text, Semantic annotation of legislation, SPLeT, SPLeT 2012, TEMIS, Workshop on Semantic Processing of Legal Texts
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