Matthias Grabmair

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 52

Top Topics

Natural Language Processing

Artificial Intelligence And Law

Extractive Summarization

Legal Documents

Top Venues

Publications

T. Y. S. S. Santosh, Tuan-Quang Vuong, Matthias Grabmair
ChronosLex: Time-aware Incremental Training for Temporal Generalization of Legal Classification Tasks. ACL (1) (2024)
T. Y. S. S. Santosh, Tuan-Quang Vuong, Matthias Grabmair
ChronosLex: Time-aware Incremental Training for Temporal Generalization of Legal Classification Tasks. CoRR (2024)
Shanshan Xu, T. Y. S. S. Santosh, Oana Ichim, Barbara Plank, Matthias Grabmair
Through the Lens of Split Vote: Exploring Disagreement, Difficulty and Calibration in Legal Case Outcome Classification. ACL (1) (2024)
T. Y. S. S. Santosh, Vatsal Venkatkrishna, Saptarshi Ghosh, Matthias Grabmair
Beyond Borders: Investigating Cross-Jurisdiction Transfer in Legal Case Summarization. NAACL-HLT (2024)
T. Y. S. S. Santosh, Kristina Kaiser, Matthias Grabmair
CuSINeS: Curriculum-driven Structure Induced Negative Sampling for Statutory Article Retrieval. CoRR (2024)
T. Y. S. S. Santosh, Rashid Haddad, Matthias Grabmair
ECtHR-PCR: A Dataset for Precedent Understanding and Prior Case Retrieval in the European Court of Human Rights. LREC/COLING (2024)
T. Y. S. S. Santosh, Elvin Quero Hernandez, Matthias Grabmair
Query-driven Relevant Paragraph Extraction from Legal Judgments. CoRR (2024)
T. Y. S. S. Santosh, Rashid Gustav Haddad, Matthias Grabmair
ECtHR-PCR: A Dataset for Precedent Understanding and Prior Case Retrieval in the European Court of Human Rights. CoRR (2024)
T. Y. S. S. Santosh, Hassan Sarwat, Ahmed Mohamed Abdelaal Abdou, Matthias Grabmair
Mind Your Neighbours: Leveraging Analogous Instances for Rhetorical Role Labeling for Legal Documents. LREC/COLING (2024)
T. Y. S. S. Santosh, Kristina Kaiser, Matthias Grabmair
CuSINeS: Curriculum-driven Structure Induced Negative Sampling for Statutory Article Retrieval. LREC/COLING (2024)
T. Y. S. S. Santosh, Hassan Sarwat, Ahmed Mohamed Abdelaal Abdou, Matthias Grabmair
Mind Your Neighbours: Leveraging Analogous Instances for Rhetorical Role Labeling for Legal Documents. CoRR (2024)
T. Y. S. S. Santosh, Kevin D. Ashley, Katie Atkinson, Matthias Grabmair
Towards Supporting Legal Argumentation with NLP: Is More Data Really All You Need? CoRR (2024)
Shanshan Xu, T. Y. S. S. Santosh, Oana Ichim, Barbara Plank, Matthias Grabmair
Through the Lens of Split Vote: Exploring Disagreement, Difficulty and Calibration in Legal Case Outcome Classification. CoRR (2024)
T. Y. S. S. Santosh, Nina Baumgartner, Matthias Stürmer, Matthias Grabmair, Joel Niklaus
Towards Explainability and Fairness in Swiss Judgement Prediction: Benchmarking on a Multilingual Dataset. LREC/COLING (2024)
T. Y. S. S. Santosh, Nina Baumgartner, Matthias Stürmer, Matthias Grabmair, Joel Niklaus
Towards Explainability and Fairness in Swiss Judgement Prediction: Benchmarking on a Multilingual Dataset. CoRR (2024)
T. Y. S. S. Santosh, Mahmoud Aly, Matthias Grabmair
LexAbSumm: Aspect-based Summarization of Legal Decisions. CoRR (2024)
T. Y. S. S. Santosh, Elvin Quero Hernandez, Matthias Grabmair
Query-driven Relevant Paragraph Extraction from Legal Judgments. LREC/COLING (2024)
T. Y. S. S. Santosh, Vatsal Venkatkrishna, Saptarshi Ghosh, Matthias Grabmair
Beyond Borders: Investigating Cross-Jurisdiction Transfer in Legal Case Summarization. CoRR (2024)
T. Y. S. S. Santosh, Mahmoud Aly, Matthias Grabmair
LexAbSumm: Aspect-based Summarization of Legal Decisions. LREC/COLING (2024)
Shanshan Xu, Leon Staufer, T. Y. S. S. Santosh, Oana Ichim, Corina Heri, Matthias Grabmair
VECHR: A Dataset for Explainable and Robust Classification of Vulnerability Type in the European Court of Human Rights. CoRR (2023)
Clement Guitton, Aurelia Tamò-Larrieux, Simon Mayer, Kevin D. Ashley, Matthias Grabmair, Galileo Sartor, Giovanni Sartor, Gijs van Dijck
Pervasive Computational Law. IEEE Pervasive Comput. 22 (3) (2023)
T. Y. S. S. Santosh, Philipp Bock, Matthias Grabmair
Joint Span Segmentation and Rhetorical Role Labeling with Data Augmentation for Legal Documents. ECIR (2) (2023)
Shanshan Xu, T. Y. S. S. Santosh, Oana Ichim, Isabella Risini, Barbara Plank, Matthias Grabmair
From Dissonance to Insights: Dissecting Disagreements in Rationale Construction for Case Outcome Classification. CoRR (2023)
T. Y. S. S. Santosh, Marcel Perez San Blas, Phillip Kemper, Matthias Grabmair
Leveraging Task Dependency and Contrastive Learning for Case Outcome Classification on European Court of Human Rights Cases. EACL (2023)
T. Y. S. S. Santosh, Oana Ichim, Matthias Grabmair
Zero-shot Transfer of Article-aware Legal Outcome Classification for European Court of Human Rights Cases. CoRR (2023)
T. Y. S. S. Santosh, Marcel Perez San Blas, Phillip Kemper, Matthias Grabmair
Leveraging Task Dependency and Contrastive Learning for Case Outcome Classification on European Court of Human Rights Cases. CoRR (2023)
Shanshan Xu, Leon Staufer, T. Y. S. S. Santosh, Oana Ichim, Corina Heri, Matthias Grabmair
VECHR: A Dataset for Explainable and Robust Classification of Vulnerability Type in the European Court of Human Rights. EMNLP (2023)
Shanshan Xu, Santosh T. y. s. s, Oana Ichim, Isabella Risini, Barbara Plank, Matthias Grabmair
From Dissonance to Insights: Dissecting Disagreements in Rationale Construction for Case Outcome Classification. EMNLP (2023)
T. Y. S. S. Santosh, Philipp Bock, Matthias Grabmair
Joint Span Segmentation and Rhetorical Role Labeling with Data Augmentation for Legal Documents. CoRR (2023)
T. Y. S. S. Santosh, Oana Ichim, Matthias Grabmair
Zero-shot Transfer of Article-aware Legal Outcome Classification for European Court of Human Rights Cases. EACL (Findings) (2023)
Shanshan Xu, Irina Broda, Rashid Haddad, Marco Negrini, Matthias Grabmair
Attack on Unfair ToS Clause Detection: A Case Study using Universal Adversarial Triggers. NLLP@EMNLP (2022)
Guido Governatori, Trevor J. M. Bench-Capon, Bart Verheij, Michal Araszkiewicz, Enrico Francesconi, Matthias Grabmair
Thirty years of Artificial Intelligence and Law: the first decade. Artif. Intell. Law 30 (4) (2022)
Shanshan Xu, Irina Broda, Rashid Haddad, Marco Negrini, Matthias Grabmair
Attack on Unfair ToS Clause Detection: A Case Study using Universal Adversarial Triggers. CoRR (2022)
Abhishek Agarwal, Shanshan Xu, Matthias Grabmair
Extractive Summarization of Legal Decisions using Multi-task Learning and Maximal Marginal Relevance. CoRR (2022)
Abhishek Agarwal, Shanshan Xu, Matthias Grabmair
Extractive Summarization of Legal Decisions using Multi-task Learning and Maximal Marginal Relevance. EMNLP (Findings) (2022)
Tokala Yaswanth Sri Sai Santosh, Shanshan Xu, Oana Ichim, Matthias Grabmair
Deconfounding Legal Judgment Prediction for European Court of Human Rights Cases Towards Better Alignment with Experts. EMNLP (2022)
T. Y. S. S. Santosh, Shanshan Xu, Oana Ichim, Matthias Grabmair
Deconfounding Legal Judgment Prediction for European Court of Human Rights Cases Towards Better Alignment with Experts. CoRR (2022)
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, Mattia Falduti, Matthias Grabmair, Jakub Harasta, Tereza Novotná, Elizabeth Tippett, Shiwanni Johnson
Lex Rosetta: Transfer of Predictive Models Across Languages, Jurisdictions, and Legal Domains. CoRR (2021)
Zihan Huang, Charles Low, Mengqiu Teng, Hongyi Zhang, Daniel E. Ho, Mark S. Krass, Matthias Grabmair
Context-Aware Legal Citation Recommendation using Deep Learning. CoRR (2021)
Zihan Huang, Charles Low, Mengqiu Teng, Hongyi Zhang, Daniel E. Ho, Mark S. Krass, Matthias Grabmair
Context-aware legal citation recommendation using deep learning. ICAIL (2021)
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, Karl Branting, Mattia Falduti, Matthias Grabmair, Jakub Harasta, Tereza Novotná, Elizabeth Tippett, Shiwanni Johnson
Lex Rosetta: transfer of predictive models across languages, jurisdictions, and legal domains. ICAIL (2021)
Bhavya Karki, Fan Hu, Nithin Haridas, Suhail Barot, Zihua Liu, Lucile Callebert, Matthias Grabmair, Anthony Tomasic
Question Answering via Web Extracted Tables and Pipelined Models. CoRR (2019)
Linwu Zhong, Ziyi Zhong, Zinian Zhao, Siyuan Wang, Kevin D. Ashley, Matthias Grabmair
Automatic Summarization of Legal Decisions using Iterative Masking of Predictive Sentences. ICAIL (2019)
Mihir Kale, Aditya Siddhant, Sreyashi Nag, Radhika Parik, Matthias Grabmair, Anthony Tomasic
Supervised Contextual Embeddings for Transfer Learning in Natural Language Processing Tasks. CoRR (2019)
Livio Robaldo, Serena Villata, Adam Wyner, Matthias Grabmair
Introduction for artificial intelligence and law: special issue "natural language processing for legal texts". Artif. Intell. Law 27 (2) (2019)
Anna Belova, Matthias Grabmair, Eric Nyberg
Segmentation of Rulemaking Documentsfor Public Notice-and-Comment Process Analysis. AIAS@ICAIL (2019)
Bhavya Karki, Fan Hu, Nithin Haridas, Suhail Barot, Zihua Liu, Lucile Callebert, Matthias Grabmair, Anthony Tomasic
Question answering via web extracted tables. aiDM@SIGMOD (2019)
Soumya Wadhwa, Varsha Embar, Matthias Grabmair, Eric Nyberg
Towards Inference-Oriented Reading Comprehension: ParallelQA. CoRR (2018)
Abhilasha Ravichander, Thomas Manzini, Matthias Grabmair, Graham Neubig, Jonathan Francis, Eric Nyberg
How Would You Say It? Eliciting Lexically Diverse Dialogue for Supervised Semantic Parsing. SIGDIAL Conference (2017)
Matthias Grabmair
Predicting trade secret case outcomes using argument schemes and learned quantitative value effect tradeoffs. ICAIL (2017)
Apoorva Bansal, Zheyuan Bu, Biswajeet Mishra, Silun Wang, Kevin D. Ashley, Matthias Grabmair
Document Ranking with Citation Information and Oversampling Sentence Classification in the LUIMA Framework. JURIX (2016)
Matthias Grabmair, Kevin D. Ashley, Ran Chen, Preethi Sureshkumar, Chen Wang, Eric Nyberg, Vern R. Walker
Introducing LUIMA: an experiment in legal conceptual retrieval of vaccine injury decisions using a UIMA type system and tools. ICAIL (2015)
Jaromír Savelka, Matthias Grabmair, Kevin D. Ashley
Mining Information from Statutory Texts in Multi-Jurisdictional Settings. JURIX (2014)
Matthias Grabmair, Kevin D. Ashley
Using event progression to enhance purposive argumentation in the value judgment formalism. ICAIL (2013)
Matthias Grabmair, Kevin D. Ashley
Facilitating case comparison using value judgments and intermediate legal concepts. ICAIL (2011)
Matthias Grabmair, Kevin D. Ashley, Rebecca Hwa, Patricia M. Sweeney
Toward Extracting Information from Public Health Statutes using Text Classification Machine Learning. JURIX (2011)
Matthias Grabmair, Kevin D. Ashley
Argumentation with Value Judgments - An Example of Hypothetical Reasoning. JURIX (2010)
Matthias Grabmair, Thomas F. Gordon, Douglas Walton
Probabilistic Semantics for the Carneades Argument Model Using Bayesian Networks. COMMA (2010)
Matthias Grabmair, Kevin D. Ashley
Using critical questions to disambiguate and formalize statutory provisions. ICAIL (2009)
Matthias Grabmair, Kevin D. Ashley
Towards Modeling Systematic Interpretation of Codified Law. JURIX (2005)