Kevin D. Ashley

Affiliations:
  • University of Pittsburgh, Pennsylvania, USA


According to our database1, Kevin D. Ashley authored at least 126 papers between 1984 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2022
Data-Centric Machine Learning in the Legal Domain.
CoRR, 2022

Legal information retrieval for understanding statutory terms.
Artif. Intell. Law, 2022

2021
Lex Rosetta: Transfer of Predictive Models Across Languages, Jurisdictions, and Legal Domains.
CoRR, 2021

Accounting for Sentence Position and Legal Domain Sentence Embedding in Learning to Classify Case Sentences.
Proceedings of the Legal Knowledge and Information Systems, 2021

Data-Centric Machine Learning: Improving Model Performance and Understanding Through Dataset Analysis.
Proceedings of the Legal Knowledge and Information Systems, 2021

Toward summarizing case decisions via extracting argument issues, reasons, and conclusions.
Proceedings of the ICAIL '21: Eighteenth International Conference for Artificial Intelligence and Law, São Paulo Brazil, June 21, 2021

Lex Rosetta: transfer of predictive models across languages, jurisdictions, and legal domains.
Proceedings of the ICAIL '21: Eighteenth International Conference for Artificial Intelligence and Law, São Paulo Brazil, June 21, 2021

Discovering Explanatory Sentences in Legal Case Decisions Using Pre-trained Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020
Using Argument Mining for Legal Text Summarization.
Proceedings of the Legal Knowledge and Information Systems, 2020

Sentence Embeddings and High-Speed Similarity Search for Fast Computer Assisted Annotation of Legal Documents.
Proceedings of the Legal Knowledge and Information Systems, 2020

Learning to Rank Sentences for Explaining Statutory Terms.
Proceedings of the Fourth Workshop on Automated Semantic Analysis of Information in Legal Text held online in conjunction with the 33rd International Conference on Legal Knowledge and Information Systems, 2020

2019
Computer-Assisted Creation of Boolean Search Rules for Text Classification in the Legal Domain.
Proceedings of the Legal Knowledge and Information Systems, 2019

Automatic Summarization of Legal Decisions using Iterative Masking of Predictive Sentences.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Law, 2019

Using Factors to Predict and Analyze Landlord-Tenant Decisions to Increase Access to Justice.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Law, 2019

Improving Sentence Retrieval from Case Law for Statutory Interpretation.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Law, 2019

2018
Segmenting U.S. Court Decisions into Functional and Issue Specific Parts.
Proceedings of the Legal Knowledge and Information Systems, 2018

2017
The Impacts of Domain-General vs. Domain-Specific Diagramming Tools on Writing.
Int. J. Artif. Intell. Educ., 2017

Detecting Agent Mentions in U.S. Court Decisions.
Proceedings of the Legal Knowledge and Information Systems, 2017

Utilizing Vector Space Models for Identifying Legal Factors from Text.
Proceedings of the Legal Knowledge and Information Systems, 2017

2016
Document Ranking with Citation Information and Oversampling Sentence Classification in the LUIMA Framework.
Proceedings of the Legal Knowledge and Information Systems, 2016

Identifying Thesis Statements in Student Essays: The Class Imbalance Challenge and Resolution.
Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, 2016

Impact of Revision Planning on Peer-Reviewed Writing.
Proceedings of the Workshop and Tutorial Proceedings of the 9th International Conference on Educational Data Mining, 2016

Extracting Case Law Sentences for Argumentation about the Meaning of Statutory Terms.
Proceedings of the Third Workshop on Argument Mining, 2016

2015
Validity and Reliability of an Instrument for Assessing Case Analyses in Bioengineering Ethics Education.
Sci. Eng. Ethics, 2015

Applying an Interactive Machine Learning Approach to Statutory Analysis.
Proceedings of the Legal Knowledge and Information Systems, 2015

Transfer of predictive models for classification of statutory texts in multi-jurisdictional settings.
Proceedings of the 15th International Conference on Artificial Intelligence and Law, 2015

Introducing LUIMA: an experiment in legal conceptual retrieval of vaccine injury decisions using a UIMA type system and tools.
Proceedings of the 15th International Conference on Artificial Intelligence and Law, 2015

Understanding Revision Planning in Peer-Reviewed Writing.
Proceedings of the 8th International Conference on Educational Data Mining, 2015

Improving Science Writing in Research Methods Classes Through Computerized Argument Diagramming.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

2014
Mining Information from Statutory Texts in Multi-Jurisdictional Settings.
Proceedings of the Legal Knowledge and Information Systems, 2014

Can Diagrams Predict Essay Grades?
Proceedings of the Intelligent Tutoring Systems - 12th International Conference, 2014

Identifying Thesis and Conclusion Statements in Student Essays to Scaffold Peer Review.
Proceedings of the Intelligent Tutoring Systems - 12th International Conference, 2014

Matching Hypothesis Text in Diagrams and Essays.
Proceedings of the 7th International Conference on Educational Data Mining, 2014

Empirically Valid Rules for Ill-Defined Domains.
Proceedings of the 7th International Conference on Educational Data Mining, 2014

2013
From Information Retrieval (IR) to Argument Retrieval (AR) for Legal Cases: Report on a Baseline Study.
Proceedings of the Legal Knowledge and Information Systems, 2013

Using event progression to enhance purposive argumentation in the value judgment formalism.
Proceedings of the International Conference on Artificial Intelligence and Law, 2013

Toward constructing evidence-based legal arguments using legal decision documents and machine learning.
Proceedings of the International Conference on Artificial Intelligence and Law, 2013

Using Argument Diagramming to Improve Peer Grading of Writing Assignments.
Proceedings of the Workshops at the 16th International Conference on Artificial Intelligence in Education AIED 2013, 2013

2012
A history of AI and Law in 50 papers: 25 years of the international conference on AI and Law.
Artif. Intell. Law, 2012

Comparing Argument Diagrams.
Proceedings of the Legal Knowledge and Information Systems, 2012

2011
Toward Extracting Information from Public Health Statutes using Text Classification Machine Learning.
Proceedings of the Legal Knowledge and Information Systems, 2011

Toward AI-enhanced Computer-supported Peer Review in Legal Education.
Proceedings of the Legal Knowledge and Information Systems, 2011

Can temporal representation and reasoning make a difference in automated legal reasoning?: lessons from an AI-based ethical reasoner.
Proceedings of the 13th International Conference on Artificial Intelligence and Law, 2011

Facilitating case comparison using value judgments and intermediate legal concepts.
Proceedings of the 13th International Conference on Artificial Intelligence and Law, 2011

Peering Inside Peer Review with Bayesian Models.
Proceedings of the Artificial Intelligence in Education - 15th International Conference, 2011

The Case-Based Reasoning Approach: Ontologies for Analogical Legal Argument.
Proceedings of the Approaches to Legal Ontologies, 2011

2010
Emerging AI & Law approaches to automating analysis and retrieval of electronically stored information in discovery proceedings.
Artif. Intell. Law, 2010

Argumentation with Value Judgments - An Example of Hypothetical Reasoning.
Proceedings of the Legal Knowledge and Information Systems, 2010

Eliciting Informative Feedback in Peer Review: Importance of Problem-Specific Scaffolding.
Proceedings of the Intelligent Tutoring Systems, 10th International Conference, 2010

2009
Automatically classifying case texts and predicting outcomes.
Artif. Intell. Law, 2009

Teaching a process model of legal argument with hypotheticals.
Artif. Intell. Law, 2009

Evaluating an Intelligent Tutoring System for Making Legal Arguments with Hypotheticals.
Int. J. Artif. Intell. Educ., 2009

Concepts, Structures, and Goals: Redefining Ill-Definedness.
Int. J. Artif. Intell. Educ., 2009

Argument Diagramming and Diagnostic Reliability.
Proceedings of the Legal Knowledge and Information Systems, 2009

Toward Modeling and Teaching Legal Case-Based Adaptation with Expert Examples.
Proceedings of the Case-Based Reasoning Research and Development, 2009

Toward assessing law students' argument diagrams.
Proceedings of the 12th International Conference on Artificial Intelligence and Law, 2009

Using critical questions to disambiguate and formalize statutory provisions.
Proceedings of the 12th International Conference on Artificial Intelligence and Law, 2009

Ontological requirements for analogical, teleological, and hypothetical legal reasoning.
Proceedings of the 12th International Conference on Artificial Intelligence and Law, 2009

What a Legal CBR Ontology Should Provide.
Proceedings of the Twenty-Second International Florida Artificial Intelligence Research Society Conference, 2009

Assessing Argument Diagrams in an Ill-defined Domain.
Proceedings of the Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling, 2009

Computational Argument as a Diagnostic Tool: The role of reliability.
Proceedings of the Uses of Computational Argumentation, 2009

2008
A Process Model of Legal Argument with Hypotheticals.
Proceedings of the Legal Knowledge and Information Systems, 2008

Re-evaluating LARGO in the Classroom: Are Diagrams Better Than Text for Teaching Argumentation Skills?.
Proceedings of the Intelligent Tutoring Systems, 9th International Conference, 2008

Graph Grammars: An ITS Technology for Diagram Representations.
Proceedings of the Twenty-First International Florida Artificial Intelligence Research Society Conference, 2008

Some Thoughts on Using Computers to Teach Argumentation.
Proceedings of the Twenty-First International Florida Artificial Intelligence Research Society Conference, 2008

Argument graph classification with Genetic Programming and C4.5.
Proceedings of the Educational Data Mining 2008, 2008

2007
Student's Usage of Multiple Linked Argument Representations in LARGO.
Proceedings of the Mensch & Computer 2007: Interaktion im Plural, 2007

Learning by diagramming Supreme Court oral arguments.
Proceedings of the Eleventh International Conference on Artificial Intelligence and Law, 2007

Interpretive Reasoning with Hypothetical Cases.
Proceedings of the Twentieth International Florida Artificial Intelligence Research Society Conference, 2007

Evaluating Legal Argument Instruction with Graphical Representations Using LARGO.
Proceedings of the Artificial Intelligence in Education, 2007

AIED Applications in Ill-Defined Domains.
Proceedings of the Artificial Intelligence in Education, 2007

2006
Toward Legal Argument Instruction with Graph Grammars and Collaborative Filtering Techniques.
Proceedings of the Intelligent Tutoring Systems, 8th International Conference, 2006

Schwachstellenermittlung und Rückmeldungsprinzipen in einem intelligenten Tutorensystem für juristische Argumentation.
Proceedings of the DeLFI 2006, 4. e-Learning Fachtagung Informatik, 11.-14. September 2006, 2006

Progress in Textual Case-Based Reasoning: Predicting the Outcome of Legal Cases from Text.
Proceedings of the Proceedings, 2006

2005
Textual case-based reasoning.
Knowl. Eng. Rev., 2005

Case-based reasoning and law.
Knowl. Eng. Rev., 2005

Towards Modeling Systematic Interpretation of Codified Law.
Proceedings of the Legal Knowledge and Information Systems, 2005

Reasoning with Textual Cases.
Proceedings of the Case-Based Reasoning, 2005

Generating Legal Arguments and Predictions from Case Texts.
Proceedings of the Tenth International Conference on Artificial Intelligence and Law, 2005

Helping Law Students to Understand US Supreme Court Oral Arguments: A Planned Experiment.
Proceedings of the Tenth International Conference on Artificial Intelligence and Law, 2005

Toward supporting hypothesis formation and testing in an interpretive domain.
Proceedings of the Artificial Intelligence in Education, 2005

2003
AI and Law: A fruitful synergy.
Artif. Intell., 2003

Law, learning and representation.
Artif. Intell., 2003

Combining Case-Based and Model-Based Reasoning for Predicting the Outcome of Legal Cases.
Proceedings of the Case-Based Reasoning Research and Development, 2003

Experimental Design for Evaluating an AI and Law Program.
Proceedings of the Evaluation of Legal Reasoning and Problem-Solving Systems, 2003

Predicting Outcomes of Case-Based Legal Arguments.
Proceedings of the 9th International Conference on Artificial Intelligence and Law, 2003

2002
A note on dimensions and factors.
Artif. Intell. Law, 2002

An AI model of case-based legal argument from a jurisprudential viewpoint.
Artif. Intell. Law, 2002

Teaching Case-Based Argumentation Concepts Using Dialectic Arguments vs. Didactic Explanations.
Proceedings of the Intelligent Tutoring Systems, 6th International Conference, 2002

2001
Helping a CBR Program Know What It Knows.
Proceedings of the Case-Based Reasoning Research and Development, 2001

The Role of Information Extraction for Textual CBR.
Proceedings of the Case-Based Reasoning Research and Development, 2001

Introducing PETE: computer support for teaching ethics.
Proceedings of the Eigths International Conference on Artificial Intelligence and Law, 2001

Improving the representation of legal case texts with information extraction methods.
Proceedings of the Eigths International Conference on Artificial Intelligence and Law, 2001

An AI investigation of citation's cognitive role.
Proceedings of the Eigths International Conference on Artificial Intelligence and Law, 2001

2000
Assessing Relevance with Extensionally Defined Principles and Cases.
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30, 2000

1999
Case Representation, Acquisition, and Retrieval in SIROCCO.
Proceedings of the Case-Based Reasoning and Development, Third International Conference, 1999

Bootstrapping Case Base Development with Annotated Case Summaries.
Proceedings of the Case-Based Reasoning and Development, Third International Conference, 1999

Toward adding knowledge to learning algorithms for indexing legal cases.
Proceedings of the Seventh International Conference on Artificial Intelligence and Law, 1999

1998
Exploring the Dialectic Between Abstract Rules and Concrete Facts: Operationalizing Principles and Cases in Engineering Ethics.
Proceedings of the Advances in Case-Based Reasoning, 4th European Workshop, 1998

1997
Reasoning Symbolically About Partially Matched Cases.
Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, 1997

Using Machine Learning for Assigning Indices to Textual Cases.
Proceedings of the Case-Based Reasoning Research and Development, 1997

Finding Factors: Learning to Classify Case Opinions Under Abstract Fact Categories.
Proceedings of the Sixth International Conference on Artificial Intelligence and Law, 1997

Evaluating a Learning Environment for Case-Based Argumentation Skills.
Proceedings of the Sixth International Conference on Artificial Intelligence and Law, 1997

1996
How Different Is Different? Arguing About the Significance of Similarities and Differences.
Proceedings of the Advances in Case-Based Reasoning, Third European Workshop, 1996

1995
Reasoning with Reasons in Case-Based Comparisons.
Proceedings of the Case-Based Reasoning Research and Development, 1995

Context Sensitive Case Comparisons in Practical Ethics: Reasoning About Reasons.
Proceedings of the Fifth International Conference on Artificial Intelligence and Law, 1995

Doing Things with Factors.
Proceedings of the Fifth International Conference on Artificial Intelligence and Law, 1995

1994
A CBR Knowledge Representation for Practical Ethics.
Proceedings of the Advances in Case-Based Reasoning, Second European Workshop, 1994

An Instructional Environment for Practicing Argumentation Skills.
Proceedings of the 12th National Conference on Artificial Intelligence, Seattle, WA, USA, July 31, 1994

1993
What Law Students Need to Know to WIN.
Proceedings of the Fourth International Conference on Artificial intelligence and Law, 1993

A Logical Representation for Relevance Criteria.
Proceedings of the Topics in Case-Based Reasoning, First European Workshop, 1993

1992
Case-based reasoning and its implications for legal expert systems.
Artif. Intell. Law, 1992

Automated Generation of Examples for a Tutorial in Case-Based Argumentation.
Proceedings of the Intelligent Tutoring Systems, Second International Conference, 1992

Generating Dialectical Examples Automatically.
Proceedings of the 10th National Conference on Artificial Intelligence, 1992

1991
Reasoning with Cases and Hypotheticals in HYPO.
Int. J. Man Mach. Stud., 1991

Toward an Intelligent Tutoring System for Teaching Law Students to Argue with Cases.
Proceedings of the Third International Conference on Artificial Intelligence and Law, 1991

1990
Modeling legal argument - reasoning with cases and hypotheticals.
Artificial intelligence and legal reasoning, MIT Press, ISBN: 978-0-262-01114-3, 1990

1989
Defining Salience in Case-Based Arguments.
Proceedings of the 11th International Joint Conference on Artificial Intelligence. Detroit, 1989

Toward a Computational Theory of Arguing with Precedents.
Proceedings of the Second International Conference on Artificial Intelligence and Law, 1989

1988
A Case-Based Approach to Modeling Legal Expertise.
IEEE Expert, 1988

Waiting on Weighting: A Symbolic Least Commitment Approach.
Proceedings of the 7th National Conference on Artificial Intelligence, 1988

1987
A Case-Based System for Trade Secrets Law.
Proceedings of the First International Conference on Artificial Intelligence and Law, 1987

But, See, Accord: Generating Blue Book Citations in HYPO.
Proceedings of the First International Conference on Artificial Intelligence and Law, 1987

Compare and Contrast: A Test of Expertise.
Proceedings of the 6th National Conference on Artificial Intelligence. Seattle, 1987

1986
Hypotheticals as Heuristic Device.
Proceedings of the Strategic Computing, 1986

1984
Explaining and Arguing With Examples.
Proceedings of the National Conference on Artificial Intelligence. Austin, 1984


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