Kevin D. Ashley - researchr alias

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2011

The 13th International Conference on Artificial Intelligence and Law, Proceedings of the Conference, June 6-10, 2011, Pittsburgh, PA, USAKevin D. Ashley, Tom M. van Engers, editors, ACM, 2011.

Peering Inside Peer Review with Bayesian ModelsIlya M. Goldin, Kevin D. Ashley. aied 2011: 90-97 [doi]

Facilitating case comparison using value judgments and intermediate legal conceptsMatthias Grabmair, Kevin D. Ashley. icail 2011: 161-170 [doi]

Can temporal representation and reasoning make a difference in automated legal reasoning?: lessons from an AI-based ethical reasonerBruce M. McLaren, Kevin D. Ashley. icail 2011: 229-238 [doi]

2010

Emerging AI & Law approaches to automating analysis and retrieval of electronically stored information in discovery proceedingsKevin D. Ashley, Will Bridewell. ail, 18(4):311-320, 2010. [doi]

Eliciting Informative Feedback in Peer Review: Importance of Problem-Specific ScaffoldingIlya M. Goldin, Kevin D. Ashley. its 2010: 95-104 [doi]

Argumentation with Value Judgments - An Example of Hypothetical ReasoningMatthias Grabmair, Kevin D. Ashley. jurix 2010: 67-76 [doi]

2009

Automatically classifying case texts and predicting outcomesKevin D. Ashley, Stefanie BrÃ¼ninghaus. ail, 17(2):125-165, 2009. [doi]

Teaching a process model of legal argument with hypotheticalsKevin D. Ashley. ail, 17(4):321-370, 2009. [doi]

What a Legal CBR Ontology Should ProvideKevin D. Ashley. flairs 2009:

Ontological requirements for analogical, teleological, and hypothetical legal reasoningKevin D. Ashley. icail 2009: 1-10 [doi]

Toward Modeling and Teaching Legal Case-Based Adaptation with Expert ExamplesKevin D. Ashley, Collin Lynch, Niels Pinkwart, Vincent Aleven. iccbr 2009: 45-59 [doi]

Using critical questions to disambiguate and formalize statutory provisionsMatthias Grabmair, Kevin D. Ashley. icail 2009: 240-241 [doi]

Toward assessing law students argument diagramsCollin Lynch, Kevin D. Ashley, Niels Pinkwart, Vincent Aleven. icail 2009: 222-223 [doi]

Concepts, Structures, and Goals: Redefining Ill-DefinednessCollin Lynch, Kevin D. Ashley, Niels Pinkwart, Vincent Aleven. aiedu, 19(3):253-266, 2009. [doi]

Argument Diagramming and Diagnostic ReliabilityCollin Lynch, Kevin D. Ashley, Niels Pinkwart, Vincent Aleven. jurix 2009: 106-115 [doi]

Assessing Argument Diagrams in an Ill-defined DomainNiels Pinkwart, Collin Lynch, Kevin D. Ashley, Vincent Aleven. aied 2009: 590-592 [doi]

Evaluating an Intelligent Tutoring System for Making Legal Arguments with HypotheticalsNiels Pinkwart, Kevin D. Ashley, Collin Lynch, Vincent Aleven. aiedu, 19(4):401-424, 2009. [doi]

2008

2007

2006

2005

2003

Law, learning and representationKevin D. Ashley, Edwina L. Rissland. ai, 150(1-2):17-58, 2003. [doi]

Case-Based Reasoning Research and Development, 5th International Conference on Case-Based Reasoning, ICCBR 2003, Trondheim, Norway, June 23-26, 2003, ProceedingsKevin D. Ashley, Derek G. Bridge, editors, Volume 2689 of Lecture Notes in Computer Science, Springer, 2003.

Predicting Outcomes of Case-Based Legal ArgumentsStefanie Brüninghaus, Kevin D. Ashley. icail 2003: 233-242

Combining Case-Based and Model-Based Reasoning for Predicting the Outcome of Legal CasesStefanie Brüninghaus, Kevin D. Ashley. iccbr 2003: 65-79 [doi]

Experimental Design for Evaluating an AI and Law ProgramStefanie Brüninghaus, Kevin D. Ashley. icail 2003: 10-13

AI and Law: A fruitful synergyEdwina L. Rissland, Kevin D. Ashley, Ronald Prescott Loui. ai, 150(1-2):1-15, 2003. [doi]

2002

An AI model of case-based legal argument from a jurisprudential viewpointKevin D. Ashley. ail, 10(1-3):163-218, 2002.

Teaching Case-Based Argumentation Concepts Using Dialectic Arguments vs. Didactic ExplanationsKevin D. Ashley, Ravi Desai, John M. Levine. its 2002: 585-595 [doi]

A note on dimensions and factorsEdwina L. Rissland, Kevin D. Ashley. ail, 10(1-3):65-77, 2002.

2001

2000

Assessing Relevance with Extensionally Defined Principles and CasesBruce M. McLaren, Kevin D. Ashley. AAAI 2000: 316-322

1999

Toward adding knowledge to learning algorithms for indexing legal casesStefanie Brüninghaus, Kevin D. Ashley. icail 1999: 9-17 [doi]

Bootstrapping Case Base Development with Annotated Case SummariesStefanie Brüninghaus, Kevin D. Ashley. iccbr 1999: 59-73 [doi]

Case Representation, Acquisition, and Retrieval in SIROCCOBruce M. McLaren, Kevin D. Ashley. iccbr 1999: 248-262 [doi]

1998

Exploring the Dialectic Between Abstract Rules and Concrete Facts: Operationalizing Principles and Cases in Engineering EthicsBruce M. McLaren, Kevin D. Ashley. ewcbr 1998: 37-51 [doi]

1997

Evaluating a Learning Environment for Case-Based Argumentation SkillsVincent Aleven, Kevin D. Ashley. icail 1997: 170-179 [doi]

Reasoning Symbolically About Partially Matched CasesKevin D. Ashley, Vincent Aleven. IJCAI 1997: 335-341

Finding Factors: Learning to Classify Case Opinions Under Abstract Fact CategoriesStefanie Brüninghaus, Kevin D. Ashley. icail 1997: 123-131 [doi]

Using Machine Learning for Assigning Indices to Textual CasesStefanie Brüninghaus, Kevin D. Ashley. iccbr 1997: 303-314

1996

How Different Is Different? Arguing About the Significance of Similarities and DifferencesVincent Aleven, Kevin D. Ashley. ewcbr 1996: 1-15

1995

Doing Things with FactorsVincent Aleven, Kevin D. Ashley. icail 1995: 31-41 [doi]

Reasoning with Reasons in Case-Based ComparisonsKevin D. Ashley, Bruce M. McLaren. iccbr 1995: 133-144

Context Sensitive Case Comparisons in Practical Ethics: Reasoning About ReasonsBruce M. McLaren, Kevin D. Ashley. icail 1995: 316-325 [doi]

1994

An Instructional Environment for Practicing Argumentation SkillsVincent Aleven, Kevin D. Ashley. AAAI 1994: 485-492

A CBR Knowledge Representation for Practical EthicsKevin D. Ashley, Bruce M. McLaren. ewcbr 1995: 181-197

1993

What Law Students Need to Know to WINVincent Aleven, Kevin D. Ashley. icail 1993: 152-161 [doi]

A Logical Representation for Relevance CriteriaKevin D. Ashley, Vincent Aleven. ewcbr 1994: 338-352

1992

Automated Generation of Examples for a Tutorial in Case-Based ArgumentationVincent Aleven, Kevin D. Ashley. its 1992: 475-584

Generating Dialectical Examples AutomaticallyKevin D. Ashley, Vincent Aleven. AAAI 1992: 654-660

1991

Reasoning with Cases and Hypotheticals in HYPOKevin D. Ashley. ijmms, 34(6):753-796, 1991.

Toward an Intelligent Tutoring System for Teaching Law Students to Argue with CasesKevin D. Ashley, Vincent Aleven. icail 1991: 42-52 [doi]

1990

Modeling legal argument - reasoning with cases and hypotheticalsKevin D. Ashley. Artificial intelligence and legal reasoning, MIT Press, 1990.

1989

Toward a Computational Theory of Arguing with PrecedentsKevin D. Ashley. icail 1989: 93-102 [doi]

Defining Salience in Case-Based ArgumentsKevin D. Ashley. IJCAI 1989: 537-542

1988

Waiting on Weighting: A Symbolic Least Commitment ApproachKevin D. Ashley, Edwina L. Rissland. AAAI 1988: 239-244

A Case-Based Approach to Modeling Legal ExpertiseKevin D. Ashley, Edwina L. Rissland. expert, 3(3):70-77, 1988.

1987

But, See, Accord: Generating Blue Book Citations in HYPOKevin D. Ashley, Edwina L. Rissland. icail 1987: 67-74 [doi]

Compare and Contrast: A Test of ExpertiseKevin D. Ashley, Edwina L. Rissland. AAAI 1987: 273-278

A Case-Based System for Trade Secrets LawEdwina L. Rissland, Kevin D. Ashley. icail 1987: 60-66 [doi]

1986

Hypotheticals as Heuristic DeviceEdwina L. Rissland, Kevin D. Ashley. AAAI 1986: 289-297

Hypotheticals as Heuristic DeviceEdwina L. Rissland, Kevin D. Ashley. naacl 1986: [doi]

1984

Explaining and Arguing With ExamplesEdwina L. Rissland, Eduardo M. Valcarce, Kevin D. Ashley. AAAI 1984: 288-294