Matthias Grabmair

According to our database1, Matthias Grabmair authored at least 47 papers between 2005 and 2024.

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

Timeline

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Bibliography

2024
LexSumm and LexT5: Benchmarking and Modeling Legal Summarization Tasks in English.
CoRR, 2024

Towards Supporting Legal Argumentation with NLP: Is More Data Really All You Need?
CoRR, 2024

ECtHR-PCR: A Dataset for Precedent Understanding and Prior Case Retrieval in the European Court of Human Rights.
CoRR, 2024

Beyond Borders: Investigating Cross-Jurisdiction Transfer in Legal Case Summarization.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

HiCuLR: Hierarchical Curriculum Learning for Rhetorical Role Labeling of Legal Documents.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Incorporating Precedents for Legal Judgement Prediction on European Court of Human Rights Cases.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

The Craft of Selective Prediction: Towards Reliable Case Outcome Classification - An Empirical Study on European Court of Human Rights Cases.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

CuSINeS: Curriculum-driven Structure Induced Negative Sampling for Statutory Article Retrieval.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Mind Your Neighbours: Leveraging Analogous Instances for Rhetorical Role Labeling for Legal Documents.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Query-driven Relevant Paragraph Extraction from Legal Judgments.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

ECtHR-PCR: A Dataset for Precedent Understanding and Prior Case Retrieval in the European Court of Human Rights.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Towards Explainability and Fairness in Swiss Judgement Prediction: Benchmarking on a Multilingual Dataset.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

LexAbSumm: Aspect-based Summarization of Legal Decisions.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Through the Lens of Split Vote: Exploring Disagreement, Difficulty and Calibration in Legal Case Outcome Classification.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

ChronosLex: Time-aware Incremental Training for Temporal Generalization of Legal Classification Tasks.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Pervasive Computational Law.
IEEE Pervasive Comput., 2023

From Dissonance to Insights: Dissecting Disagreements in Rationale Construction for Case Outcome Classification.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

VECHR: A Dataset for Explainable and Robust Classification of Vulnerability Type in the European Court of Human Rights.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Joint Span Segmentation and Rhetorical Role Labeling with Data Augmentation for Legal Documents.
Proceedings of the Advances in Information Retrieval, 2023

Zero-shot Transfer of Article-aware Legal Outcome Classification for European Court of Human Rights Cases.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Leveraging Task Dependency and Contrastive Learning for Case Outcome Classification on European Court of Human Rights Cases.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2022
Thirty years of Artificial Intelligence and Law: the first decade.
Artif. Intell. Law, 2022

Deconfounding Legal Judgment Prediction for European Court of Human Rights Cases Towards Better Alignment with Experts.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Extractive Summarization of Legal Decisions using Multi-task Learning and Maximal Marginal Relevance.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Attack on Unfair ToS Clause Detection: A Case Study using Universal Adversarial Triggers.
Proceedings of the Natural Legal Language Processing Workshop, 2022

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

Context-aware legal citation recommendation using deep learning.
Proceedings of the ICAIL '21: Eighteenth International Conference for Artificial Intelligence and Law, São Paulo Brazil, June 21, 2021

2019
Supervised Contextual Embeddings for Transfer Learning in Natural Language Processing Tasks.
CoRR, 2019

Question Answering via Web Extracted Tables and Pipelined Models.
CoRR, 2019

Introduction for artificial intelligence and law: special issue "natural language processing for legal texts".
Artif. Intell. Law, 2019

Question answering via web extracted tables.
Proceedings of the Second International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, 2019

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

Segmentation of Rulemaking Documentsfor Public Notice-and-Comment Process Analysis.
Proceedings of the Workshop on Artificial Intelligence and the Administrative State co-located with 17th International Conference on AI and Law (ICAIL 2019), 2019

2018
Towards Inference-Oriented Reading Comprehension: ParallelQA.
CoRR, 2018

2017
How Would You Say It? Eliciting Lexically Diverse Dialogue for Supervised Semantic Parsing.
Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue, 2017

Predicting trade secret case outcomes using argument schemes and learned quantitative value effect tradeoffs.
Proceedings of the 16th edition of the International Conference on Artificial Intelligence and Law, 2017

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

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

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

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

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

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

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

Probabilistic Semantics for the Carneades Argument Model Using Bayesian Networks.
Proceedings of the Computational Models of Argument: Proceedings of COMMA 2010, 2010

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

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


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