Search Results for author: T. Y. S. S. Santosh

Found 6 papers, 2 papers with code

LexSumm and LexT5: Benchmarking and Modeling Legal Summarization Tasks in English

1 code implementation12 Oct 2024 T. Y. S. S. Santosh, Cornelius Weiss, Matthias Grabmair

However, existing Legal NLP benchmarks only focus on predictive tasks, overlooking generative tasks.

Benchmarking

HiCuLR: Hierarchical Curriculum Learning for Rhetorical Role Labeling of Legal Documents

no code implementations27 Sep 2024 T. Y. S. S. Santosh, Apolline Isaia, Shiyu Hong, Matthias Grabmair

Rhetorical Role Labeling (RRL) of legal documents is pivotal for various downstream tasks such as summarization, semantic case search and argument mining.

Argument Mining

Incorporating Precedents for Legal Judgement Prediction on European Court of Human Rights Cases

no code implementations27 Sep 2024 T. Y. S. S. Santosh, Mohamed Hesham Elganayni, Stanisław Sójka, Matthias Grabmair

Inspired by the legal doctrine of stare decisis, which leverages precedents (prior cases) for informed decision-making, we explore methods to integrate them into LJP models.

Decision Making Retrieval

Joint Span Segmentation and Rhetorical Role Labeling with Data Augmentation for Legal Documents

no code implementations13 Feb 2023 T. Y. S. S. Santosh, Philipp Bock, Matthias Grabmair

In this work, we reformulate the task at span level as identifying spans of multiple consecutive sentences that share the same rhetorical role label to be assigned via classification.

Argument Mining Data Augmentation +3

Incorporating Domain Knowledge into Medical NLI using Knowledge Graphs

1 code implementation IJCNLP 2019 Soumya Sharma, Bishal Santra, Abhik Jana, T. Y. S. S. Santosh, Niloy Ganguly, Pawan Goyal

Specifically, we experiment with fusing embeddings obtained from knowledge graph with the state-of-the-art approaches for NLI task (ESIM model).

Knowledge Graphs

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