Towards Modeling Systematic Interpretation of Codified Law. - Matthias Grabmair; Kevin D. Ashley (JURIX, 2005)

Using critical questions to disambiguate and formalize statutory provisions. - Matthias Grabmair; Kevin D. Ashley (ICAIL, 2009)

Probabilistic Semantics for the Carneades Argument Model Using Bayesian Networks. - Matthias Grabmair; Thomas F. Gordon; Douglas Walton (COMMA, 2010)

Argumentation with Value Judgments - An Example of Hypothetical Reasoning. - Matthias Grabmair; Kevin D. Ashley (JURIX, 2010)

Facilitating case comparison using value judgments and intermediate legal concepts. - Matthias Grabmair; Kevin D. Ashley (ICAIL, 2011)

Toward Extracting Information from Public Health Statutes using Text Classification Machine Learning. - Matthias Grabmair; Kevin D. Ashley; Rebecca Hwa; Patricia M. Sweeney (JURIX, 2011)

Using event progression to enhance purposive argumentation in the value judgment formalism. - Matthias Grabmair; Kevin D. Ashley (ICAIL, 2013)

Mining Information from Statutory Texts in Multi-Jurisdictional Settings. - Jaromír Savelka; Matthias Grabmair; Kevin D. Ashley (JURIX, 2014)

Introducing LUIMA: an experiment in legal conceptual retrieval of vaccine injury decisions using a UIMA type system and tools. - Matthias Grabmair; Kevin D. Ashley; Ran Chen; Preethi Sureshkumar; Chen Wang; Eric Nyberg; Vern R. Walker (ICAIL, 2015)

Document Ranking with Citation Information and Oversampling Sentence Classification in the LUIMA Framework. - Apoorva Bansal; Zheyuan Bu; Biswajeet Mishra; Silun Wang; Kevin D. Ashley; Matthias Grabmair (JURIX, 2016)

Predicting trade secret case outcomes using argument schemes and learned quantitative value effect tradeoffs. - Matthias Grabmair (ICAIL, 2017)

How Would You Say It? Eliciting Lexically Diverse Dialogue for Supervised Semantic Parsing. - Abhilasha Ravichander; Thomas Manzini; Matthias Grabmair; Graham Neubig; Jonathan Francis; Eric Nyberg (SIGDIAL Conference, 2017)

Towards Inference-Oriented Reading Comprehension: ParallelQA. - Soumya Wadhwa; Varsha Embar; Matthias Grabmair; Eric Nyberg (CoRR, 2018)

Segmentation of Rulemaking Documentsfor Public Notice-and-Comment Process Analysis. - Anna Belova; Matthias Grabmair; Eric Nyberg (AIAS@ICAIL, 2019)

Automatic Summarization of Legal Decisions using Iterative Masking of Predictive Sentences. - Linwu Zhong; Ziyi Zhong; Zinian Zhao; Siyuan Wang; Kevin D. Ashley; Matthias Grabmair (ICAIL, 2019)

Question answering via web extracted tables. - Bhavya Karki; Fan Hu; Nithin Haridas; Suhail Barot; Zihua Liu; Lucile Callebert; Matthias Grabmair; Anthony Tomasic (aiDM@SIGMOD, 2019)

Introduction for artificial intelligence and law: special issue "natural language processing for legal texts". - Livio Robaldo; Serena Villata; Adam Wyner 001; Matthias Grabmair (Artif. Intell. Law, 2019)

Question Answering via Web Extracted Tables and Pipelined Models. - Bhavya Karki; Fan Hu; Nithin Haridas; Suhail Barot; Zihua Liu; Lucile Callebert; Matthias Grabmair; Anthony Tomasic (CoRR, 2019)

Supervised Contextual Embeddings for Transfer Learning in Natural Language Processing Tasks. - Mihir Kale; Aditya Siddhant; Sreyashi Nag; Radhika Parik; Matthias Grabmair; Anthony Tomasic (CoRR, 2019)

Context-aware legal citation recommendation using deep learning. - Zihan Huang; Charles Low; Mengqiu Teng; Hongyi Zhang; Daniel E. Ho; Mark S. Krass; Matthias Grabmair (ICAIL, 2021)

Lex Rosetta: transfer of predictive models across languages, jurisdictions, and legal domains. - Jaromír Savelka; Hannes Westermann; Karim Benyekhlef; Charlotte S. Alexander; Jayla C. Grant; David Restrepo Amariles; Rajaa El Hamdani; Sébastien Meeùs; Aurore Clément Troussel; Michal Araszkiewicz; Kevin D. Ashley; Alexandra Ashley; et al. (ICAIL, 2021)

Lex Rosetta: Transfer of Predictive Models Across Languages, Jurisdictions, and Legal Domains. - Jaromír Savelka; Hannes Westermann; Karim Benyekhlef; Charlotte S. Alexander; Jayla C. Grant; David Restrepo Amariles; Rajaa El Hamdani; Sébastien Meeùs; Michal Araszkiewicz; Kevin D. Ashley; Alexandra Ashley; Karl Branting; et al. (CoRR, 2021)

Attack on Unfair ToS Clause Detection: A Case Study using Universal Adversarial Triggers. - Shanshan Xu; Irina Broda; Rashid Haddad; Marco Negrini; Matthias Grabmair (NLLP@EMNLP, 2022)

Extractive Summarization of Legal Decisions using Multi-task Learning and Maximal Marginal Relevance. - Abhishek Agarwal; Shanshan Xu; Matthias Grabmair (EMNLP (Findings), 2022)

Deconfounding Legal Judgment Prediction for European Court of Human Rights Cases Towards Better Alignment with Experts. - Tokala Yaswanth Sri Sai Santosh; Shanshan Xu; Oana Ichim; Matthias Grabmair (EMNLP, 2022)

Thirty years of Artificial Intelligence and Law: the first decade. - Guido Governatori; Trevor J. M. Bench-Capon; Bart Verheij; Michal Araszkiewicz; Enrico Francesconi; Matthias Grabmair (Artif. Intell. Law, 2022)

Leveraging Task Dependency and Contrastive Learning for Case Outcome Classification on European Court of Human Rights Cases. - T. Y. S. S. Santosh; Marcel Perez San Blas; Phillip Kemper; Matthias Grabmair (EACL, 2023)

Zero-shot Transfer of Article-aware Legal Outcome Classification for European Court of Human Rights Cases. - T. Y. S. S. Santosh; Oana Ichim; Matthias Grabmair (EACL (Findings), 2023)

Joint Span Segmentation and Rhetorical Role Labeling with Data Augmentation for Legal Documents. - T. Y. S. S. Santosh; Philipp Bock; Matthias Grabmair (ECIR (2), 2023)

VECHR: A Dataset for Explainable and Robust Classification of Vulnerability Type in the European Court of Human Rights. - Shanshan Xu; Leon Staufer; T. Y. S. S. Santosh; Oana Ichim; Corina Heri; Matthias Grabmair (EMNLP, 2023)

From Dissonance to Insights: Dissecting Disagreements in Rationale Construction for Case Outcome Classification. - Shanshan Xu; T. Y. S. S. Santosh; Oana Ichim; Isabella Risini; Barbara Plank; Matthias Grabmair (EMNLP, 2023)

Pervasive Computational Law. - Clement Guitton; Aurelia Tamò-Larrieux; Simon Mayer; Kevin D. Ashley; Matthias Grabmair; Galileo Sartor; Giovanni Sartor; Gijs van Dijck (IEEE Pervasive Comput., 2023)

ChronosLex: Time-aware Incremental Training for Temporal Generalization of Legal Classification Tasks. - T. Y. S. S. Santosh; Tuan-Quang Vuong; Matthias Grabmair (ACL (1), 2024)

Through the Lens of Split Vote: Exploring Disagreement, Difficulty and Calibration in Legal Case Outcome Classification. - Shanshan Xu; T. Y. S. S. Santosh; Oana Ichim; Barbara Plank; Matthias Grabmair (ACL (1), 2024)

LexAbSumm: Aspect-based Summarization of Legal Decisions. - T. Y. S. S. Santosh; Mahmoud Aly; Matthias Grabmair (LREC/COLING, 2024)

Towards Explainability and Fairness in Swiss Judgement Prediction: Benchmarking on a Multilingual Dataset. - T. Y. S. S. Santosh; Nina Baumgartner; Matthias Stürmer; Matthias Grabmair; Joel Niklaus (LREC/COLING, 2024)

ECtHR-PCR: A Dataset for Precedent Understanding and Prior Case Retrieval in the European Court of Human Rights. - T. Y. S. S. Santosh; Rashid Haddad; Matthias Grabmair (LREC/COLING, 2024)

Query-driven Relevant Paragraph Extraction from Legal Judgments. - T. Y. S. S. Santosh; Elvin Quero Hernandez; Matthias Grabmair (LREC/COLING, 2024)

Mind Your Neighbours: Leveraging Analogous Instances for Rhetorical Role Labeling for Legal Documents. - T. Y. S. S. Santosh; Hassan Sarwat; Ahmed Mohamed Abdelaal Abdou; Matthias Grabmair (LREC/COLING, 2024)

CuSINeS: Curriculum-driven Structure Induced Negative Sampling for Statutory Article Retrieval. - T. Y. S. S. Santosh; Kristina Kaiser; Matthias Grabmair (LREC/COLING, 2024)

The Craft of Selective Prediction: Towards Reliable Case Outcome Classification - An Empirical Study on European Court of Human Rights Cases. - T. Y. S. S. Santosh; Irtiza Chowdhury; Shanshan Xu; Matthias Grabmair (EMNLP (Findings), 2024)

Incorporating Precedents for Legal Judgement Prediction on European Court of Human Rights Cases. - T. Y. S. S. Santosh; Mohamed Hesham Elganayni; Stanislaw Sójka; Matthias Grabmair (EMNLP (Findings), 2024)

HiCuLR: Hierarchical Curriculum Learning for Rhetorical Role Labeling of Legal Documents. - T. Y. S. S. Santosh; Apolline Isaia; Shiyu Hong; Matthias Grabmair (EMNLP (Findings), 2024)

Beyond Borders: Investigating Cross-Jurisdiction Transfer in Legal Case Summarization. - T. Y. S. S. Santosh; Vatsal Venkatkrishna; Saptarshi Ghosh; Matthias Grabmair (NAACL-HLT, 2024)

ECtHR-PCR: A Dataset for Precedent Understanding and Prior Case Retrieval in the European Court of Human Rights. - T. Y. S. S. Santosh; Rashid Gustav Haddad; Matthias Grabmair (CoRR, 2024)

Towards Supporting Legal Argumentation with NLP: Is More Data Really All You Need? - T. Y. S. S. Santosh; Kevin D. Ashley; Katie Atkinson; Matthias Grabmair (CoRR, 2024)

LexSumm and LexT5: Benchmarking and Modeling Legal Summarization Tasks in English. - T. Y. S. S. Santosh; Cornelius Weiss; Matthias Grabmair (CoRR, 2024)

AQuAECHR: Attributed Question Answering for European Court of Human Rights. - Korbinian Q. Weidinger; T. Y. S. S. Santosh; Oana Ichim; Matthias Grabmair (ACL (Findings), 2025)

QABISAR: Query-Article Bipartite Interactions for Statutory Article Retrieval. - T. Y. S. S. Santosh; Hassan Sarwat; Matthias Grabmair (COLING, 2025)

CoPERLex: Content Planning with Event-based Representations for Legal Case Summarization. - T. Y. S. S. Santosh; Youssef Farag; Matthias Grabmair (NAACL (Findings), 2025)

RELexED: Retrieval-Enhanced Legal Summarization with Exemplar Diversity. - T. Y. S. S. Santosh; Chen Jia; Patrick Goroncy; Matthias Grabmair (NAACL (Findings), 2025)

LeCoPCR: Legal Concept-guided Prior Case Retrieval for European Court of Human Rights cases. - T. Y. S. S. Santosh; Isaac Misael Olguín Nolasco; Matthias Grabmair (NAACL (Findings), 2025)

Better Aligned with Survey Respondents or Training Data? Unveiling Political Leanings of LLMs on U.S. Supreme Court Cases. - Shanshan Xu; T. Y. S. S. Santosh; Yanai Elazar; Quirin Vogel; Barbara Plank; Matthias Grabmair (CoRR, 2025)

LexGenie: Automated Generation of Structured Reports for European Court of Human Rights Case Law. - T. Y. S. S. Santosh; Mahmoud Aly; Oana Ichim; Matthias Grabmair (CoRR, 2025)