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Matthias Grabmair
Observed names:
Grabmair Matthias,
Grabmair, Matthias,
Matthias Grabmair A
Institution:
Technical University of Munich
Observed institutions:
University of Pittsburgh,
University of Augsburg,
Technical University of Munich,
Carnegie Mellon University
ORCID:
0000-0001-6586-2486
Observed ORCID:
0000-0001-6586-2486
OpenAlex ID:
A5003638231
Automatic Summarization of Legal Decisions using Iterative Masking of Predictive Sentences
2019
·
Linwu Zhong
, Ziyi Zhong
, et al.
·
International Conference on Artificial Intelligence and Law
·
52
Introduction for artificial intelligence and law: special issue “natural language processing for legal texts”
2019
·
Livio Robaldo
, Serena Villata
, et al.
·
Artificial Intelligence and Law
·
52
PDF
Context-aware legal citation recommendation using deep learning
2021
·
Zihan Huang
, Charles Low
, et al.
·
International Conference on Artificial Intelligence and Law
·
47
PDF
Introducing LUIMA
2015
·
Matthias Grabmair
, Kevin D. Ashley
, et al.
·
International Conference on Artificial Intelligence and Law
·
43
Predicting trade secret case outcomes using argument schemes and learned quantitative value effect tradeoffs
2017
·
Matthias Grabmair
·
International Conference on Artificial Intelligence and Law
·
40
Facilitating case comparison using value judgments and intermediate legal concepts
2011
·
Matthias Grabmair
, Kevin D. Ashley
·
International Conference on Artificial Intelligence and Law
·
34
Thirty years of Artificial Intelligence and Law: the first decade
2022
·
Guido Governatori
, Trevor Bench-Capon
, et al.
·
Artificial Intelligence and Law
·
31
Sentence Boundary Detection in Adjudicatory Decisions in the United States
2017
·
Jaromír Šavelka
, Vern R. Walker
, et al.
·
bepress Legal Repository
·
31
PDF
Probabilistic Semantics for the Carneades Argument Model Using Bayesian Networks
2010
·
Grabmair Matthias
, Gordon Thomas F.
, et al.
·
Frontiers in artificial intelligence and applications
·
23
Lex Rosetta
2021
·
Jaromir Savelka
, Hannes Westermann
, et al.
·
International Conference on Artificial Intelligence and Law
·
22
PDF
Deconfounding Legal Judgment Prediction for European Court of Human Rights Cases Towards Better Alignment with Experts
2022
·
Santosh T.y.s.s
, Shanshan Xu
, et al.
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
·
15
PDF
How Would You Say It? Eliciting Lexically Diverse Dialogue for Supervised Semantic Parsing
2017
·
Abhilasha Ravichander
, Thomas Manzini
, et al.
·
Annual Meeting of the Special Interest Group on Discourse and Dialogue
·
14
PDF
Extractive Summarization of Legal Decisions using Multi-task Learning and Maximal Marginal Relevance
2022
·
Abhishek Agarwal
, Shanshan Xu
, et al.
·
Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
·
12
PDF
Document Ranking with Citation Information and Oversampling Sentence Classification in the LUIMA Framework
2016
·
Bansal Apoorva
, Bu Zheyuan
, et al.
·
Frontiers in artificial intelligence and applications
·
10
A Law School Course in Applied Legal Analytics and AI
2021
·
Kevin Ashley
, Jaromir Savelka
, et al.
·
Law in context
·
9
PDF
LexSumm and LexT5: Benchmarking and Modeling Legal Summarization Tasks in English
2024
·
Santosh T.y.s.s
, Cornelius Weiss
, et al.
·
Natural Legal Language Processing Workshop (NLLP)
·
8
PDF
Towards Inference-Oriented Reading Comprehension: ParallelQA
2018
·
Soumya Wadhwa
, Varsha Embar
, et al.
·
7
PDF
Toward Extracting Information from Public Health Statutes using Text Classification Machine Learning
2011
·
Grabmair Matthias
, Ashley Kevin D.
, et al.
·
Frontiers in artificial intelligence and applications
·
7
Towards Supporting Legal Argumentation with NLP: Is More Data Really All You Need?
2024
·
Santosh T.y.s.s
, Kevin Ashley
, et al.
·
Natural Legal Language Processing Workshop (NLLP)
·
6
PDF
Modeling Purposive Legal Argumentation and Case Outcome Prediction using Argument Schemesin the Value Judgment Formalism
2016
·
Matthias Grabmair
·
D-Scholarship@Pitt (University of Pittsburgh)
·
6
PDF
Joint Span Segmentation and Rhetorical Role Labeling with Data Augmentation for Legal Documents
2023
·
T. Y. S. S Santosh
, Philipp Bock
, et al.
·
Lecture notes in computer science
·
5
PDF
Leveraging Task Dependency and Contrastive Learning for Case Outcome Classification on European Court of Human Rights Cases
2023
·
Santosh T.y.s.s
, Marcel Perez San Blas
, et al.
·
Conference of the European Chapter of the Association for Computational Linguistics
·
5
PDF
Pervasive Computational Law
2023
·
Clement Guitton
, Aurelia Tamò-Larrieux
, et al.
·
IEEE Pervasive Computing
·
4
PDF
Zero-shot Transfer of Article-aware Legal Outcome Classification for European Court of Human Rights Cases
2023
·
Santosh T.y.s.s
, Oana Ichim
, et al.
·
Findings of the Association for Computational Linguistics: EACL
·
4
PDF
VECHR: A Dataset for Explainable and Robust Classification of Vulnerability Type in the European Court of Human Rights
2023
·
Shanshan Xu
, Leon Staufer
, et al.
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
·
4
PDF
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Works count:
112
Citation count:
545
H-index:
12
I10-index:
14
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