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Multi-Task Deep Learning for Legal Document Translation, Summarization
  and Multi-Label Classification

Multi-Task Deep Learning for Legal Document Translation, Summarization and Multi-Label Classification

16 October 2018
Ahmed Elnaggar
Christoph Gebendorfer
Ingo Glaser
Florian Matthes
    AILaw
ArXivPDFHTML

Papers citing "Multi-Task Deep Learning for Legal Document Translation, Summarization and Multi-Label Classification"

3 / 3 papers shown
Title
Summarisation of German Judgments in conjunction with a Class-based Evaluation
Summarisation of German Judgments in conjunction with a Class-based Evaluation
Bianca Steffes
Nils Torben Wiedemann
Alexander Gratz
Pamela Hochreither
Jana Elina Meyer
Katharina Luise Schilke
AILaw
ELM
61
0
0
09 May 2025
Natural Language Processing for the Legal Domain: A Survey of Tasks, Datasets, Models, and Challenges
Natural Language Processing for the Legal Domain: A Survey of Tasks, Datasets, Models, and Challenges
Farid Ariai
Gianluca Demartini
ELM
AILaw
VLM
48
4
0
25 Oct 2024
Extractive Summarization of Legal Decisions using Multi-task Learning
  and Maximal Marginal Relevance
Extractive Summarization of Legal Decisions using Multi-task Learning and Maximal Marginal Relevance
Abhishek Agarwal
Shanshan Xu
Matthias Grabmair
ELM
AILaw
51
14
0
22 Oct 2022
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