Accepted Papers
Full Papers
- Human Intervention in Automated Decision-Making: Toward the Construction of Contestable Systems
Marco Almada - Reasoning with Legal Cases: Analogy or Rule Application?
Katie Atkinson & Trevor Bench-Capon - Semi-Supervised Methods for Explainable Legal Prediction
Luther Karl Branting, Craig Pfeifer, Lisa Ferro, Alex Yeh, Bradford Brown, Brandy Weiss, Mark Pfaff & Amarty Chakraborty - Exploiting Search Logs to Aid in Training and Automating Infrastructure for Question Answering in Professional Domains
Filippo Pompili, Jack G. Conrad & Carter Kolbeck - Describing the Development of Case Law
John Henderson & Trevor Bench-Capon - Explainable Bayesian Network Query Results via Natural Language Generation Systems
Jeroen Keppens - Substantive Legal Software Quality - A Gathering Storm?
Marc Lauritsen & Quinten Steenhuis - Automated Reasoning in Normative Detachment Structures with Ideal Conditions
Libal Tomer & Matteo Pascucci - Extracting the Gist of Chinese Judgments of the Supreme Court
Chao-Lin Liu & Kuan-Chun Chen - Why Machine Learning Leads to Unfairness in Juvenile Justice: Evidence from Catalonia
Marius Miron, Songül Tolan, Emilia Gomez & Carlos Castillo - Modelling Accrual of Arguments in ASPIC+
Henry Prakken - Improving Sentence Retrieval from Case Law for Statutory Interpretation
Jaromir Savelka, Huihui Xu & Kevin D. Ashley - Magnetdroid: Security-Oriented Analysis for Bridging Privacy and Law for Android Applications
Emanuele Uliana, Kostas Stathis & Robert Jago - Using Factors to Predict and Analyze Landlord-Tenant Decisions to Increase Access to Justice
Hannes Westermann, Vern R. Walker, Kevin D. Ashley, & Karim Benyekhlef - Supporting Discussions about Forensic Bayesian Networks Using Argumentation
Remi Wieten, Floris Bex, Silja Renooij & Henry Prakken - A Regularization Approach to Combining Keywords and Training Data in Technology-Assisted Review
Eugene Yang, David D. Lewis, Ophir Frieder - Automatic Summarization of Legal Decisions Using Iterative Masking of Predictive Sentences
Linwu Zhong, Ziyi Zhong, Zinian Zhao, Siyuan Wang, Kevin D. Ashley, Matthias Grabmair
Short Papers
- Norms and Extended Argumentation Frameworks
Trevor Bench-Capon & Sanjay Modgil - Crime Knowledge Extraction: An Ontology-Driven Approach for Detecting
Abstract Terms in Case Law Decisions
Silvana Castano, Mattia Falduti, Alfio Ferrara & Stefano Montanelli - A Reliable and Accurate Multiple-Choice Question Answering System For
Due Diligence
Radha Chitta & Alexander Hudek - Why Blockchains Need the Law: Secondary Rules as The Missing Piece of
Blockchain Governance
Marco Crepaldi - Argument Identification in Public Comments from Erulemaking
Vlad Eidelman & Brian Grom - The Application of ODCM For Building Well-Founded Legal Domain
Ontologies: A Case Study in The Domain of Carriage of Goods by Sea Conventions
Mirna El Ghosh & Habib Abdulrab - AI as a Legal Person
Migle Laukyte - Evaluation of Causal Arguments in Law: The Case of Overdetermination
Ruta Liepina, Giovanni Sartor & Adam Wyner - Value Assessment and Revision in Legal Interpretation
Juliano Maranhao & Giovanni Sartor - Artificial Intelligence and Law: What Do People Really Want? Example of
A French Multidisciplinary Working Group
Fabrice Muhlenbach & Isabelle Sayn - Modelling Dialogues for Optimal Legislation
Antonino Rotolo, Guido Governatori, Serena Villata & Regis Riveret - Automatic Construction of a Polish Legal Dictionary with Mappings to Extra-Legal
Terms Established Via Word Embeddings
Aleksander Smywiński-Pohl, Krzysztof Wróbel, Karol Lasocki & Marek Strzała - Machine Learning for Explaining and Ranking the Most Influential Matters
of Law
Max Raphael Sobroza Marques, Tommaso Bianco, Maxime Roodnejad, Thomas Baduel & Claude Berrou - Automated Bundle Pagination Using Machine Learning
Alessandro Torrisi, Robert Bevan, Katie Atkinson, Danushka Bollegala & Frans Coenen - The False, the Former, and the Parish Priest
Robert van Doesburg & Tom van Engers
Demo Abstracts
- ADEPT: Automated Directive Extraction from Policy Texts
Luther Karl Branting, Craig Pfeifer, Carlos Balhana, Alex Lyte, James Finegan, David Shin & Stacy Petersen - Adapting Covariate Shift for Legal AI
Venkata Nagaraju Buddarapu & Arunprasath Shankar - Westlaw Edge AI Features Demo: KeyCite Overruling Risk, Litigation Analytics, and WestSearch Plus
Tonya Custis, Frank Schilder, Tom Vacek, Gayle McElvain & Hector Martinez Alonso - Legal Knowledge Representation Using A Faceted Scheme
Michelle Cumyn, Günter Reiner, Sabine Mas & David Lesieur - Towards Computer-Aided Analysis of Readability and Comprehensibility of Patient Information in The Context of Clinical Research Projects
Ingo Glaser, Georg Bonczek, Jörg Landthaler & Florian Matthes - NAI - The Normative Reasoner
Tomer Libal & Alexander Steen - AI-Enabled Litigation Evaluation
Dennis Paul Michalopoulos, Jessica Jacob & Alfredo Coviello - Legal Machine-Learning Analysis: First Steps Towards A.I. Assisted Legal Research
Wai Yin Mok & Jonathan Rex Mok - Facts2Law – Using Deep Learning to Provide a Legal Qualification to a Set of Facts
Ivan Mokanov, Daniel Shane & Benjamin Cerat - User-Friendly Open-Source Case-Based Legal Reasoning
Jason Patrick Morris - Reducing Subjectivity and Bias in an Officer’s Analysis of Suspicion in Drug Interdiction Stops
Wesley MacNeil Oliver, Arthur Crivella & Morgan Gray - Neural Attention Learning for Legal Query Reformulation
Arunprasath Shankar & Venkata Nagaraju Buddarapu
COLIEE Winner Papers
- Building Legal Case Retrieval Systems with Lexical Matching and
Summarization using A Pre-Trained Phrase Scoring Model
Vu Tran, Minh Le Nguyen & Ken Satoh - Combining Similarity and Transformer Methods for Case Law Entailment
Juliana Rabelo, Mi-Young Kim & Randy Goebel - Statute Law Information Retrieval and Entailment
Mi-Young Kim, Juliana Rabelo & Randy Goebel
Ce contenu a été mis à jour le 21 May 2019 à 13 h 49 min.