DANIEL: Integrating Case-Based and Rule-Based Reasoning in Law. - Stefanie Brüninghaus (AAAI, 1994)

Finding Factors: Learning to Classify Case Opinions Under Abstract Fact Categories. - Stefanie Brüninghaus; Kevin D. Ashley (ICAIL, 1997)

Using Machine Learning for Assigning Indices to Textual Cases. - Stefanie Brüninghaus; Kevin D. Ashley (ICCBR, 1997)

Toward adding knowledge to learning algorithms for indexing legal cases. - Stefanie Brüninghaus; Kevin D. Ashley (ICAIL, 1999)

Bootstrapping Case Base Development with Annotated Case Summaries. - Stefanie Brüninghaus; Kevin D. Ashley (ICCBR, 1999)

Improving the representation of legal case texts with information extraction methods. - Stefanie Brüninghaus; Kevin D. Ashley (ICAIL, 2001)

The Role of Information Extraction for Textual CBR. - Stefanie Brüninghaus; Kevin D. Ashley (ICCBR, 2001)

Predicting Outcomes of Case-Based Legal Arguments. - Stefanie Brüninghaus; Kevin D. Ashley (ICAIL, 2003)

Experimental Design for Evaluating an AI and Law Program. - Stefanie Brüninghaus; Kevin D. Ashley (Evaluation of Legal Reasoning and Problem-Solving Systems, 2003)

Combining Case-Based and Model-Based Reasoning for Predicting the Outcome of Legal Cases. - Stefanie Brüninghaus; Kevin D. Ashley (ICCBR, 2003)

Generating Legal Arguments and Predictions from Case Texts. - Stefanie Brüninghaus; Kevin D. Ashley (ICAIL, 2005)

Reasoning with Textual Cases. - Stefanie Brüninghaus; Kevin D. Ashley (ICCBR, 2005)

Textual case-based reasoning. - Rosina O. Weber; Kevin D. Ashley; Stefanie Brüninghaus (Knowl. Eng. Rev., 2005)

Progress in Textual Case-Based Reasoning: Predicting the Outcome of Legal Cases from Text. - Stefanie Brüninghaus; Kevin D. Ashley (AAAI, 2006)

Automatically classifying case texts and predicting outcomes. - Kevin D. Ashley; Stefanie Brüninghaus (Artif. Intell. Law, 2009)