T. Y. S. S. Santosh

According to our database, T. Y. S. S. Santosh authored at least 39 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

LeCoPCR: Legal Concept-guided Prior Case Retrieval for European Court of Human Rights cases.

T. Y. S. S. Santosh, Isaac Misael Olguín Nolasco, Matthias Grabmair

CoRR, January, 2025

RELexED: Retrieval-Enhanced Legal Summarization with Exemplar Diversity.

T. Y. S. S. Santosh, Chen Jia, Patrick Goroncy, Matthias Grabmair

CoRR, January, 2025

CoPERLex: Content Planning with Event-based Representations for Legal Case Summarization.

T. Y. S. S. Santosh, Youssef Farag, Matthias Grabmair

CoRR, January, 2025

QABISAR: Query-Article Bipartite Interactions for Statutory Article Retrieval.

T. Y. S. S. Santosh, Hassan Sarwat, Matthias Grabmair

Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024

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

T. Y. S. S. Santosh, Cornelius Weiss, Matthias Grabmair

CoRR, 2024

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

T. Y. S. S. Santosh, Kevin D. Ashley, Katie Atkinson, Matthias Grabmair

CoRR, 2024

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

T. Y. S. S. Santosh, Rashid Gustav Haddad, Matthias Grabmair

CoRR, 2024

Beyond Borders: Investigating Cross-Jurisdiction Transfer in Legal Case Summarization.

T. Y. S. S. Santosh, Vatsal Venkatkrishna, Saptarshi Ghosh, Matthias Grabmair

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.

T. Y. S. S. Santosh, Apolline Isaia, Shiyu Hong, Matthias Grabmair

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.

T. Y. S. S. Santosh, Mohamed Hesham Elganayni, Stanislaw Sójka, Matthias Grabmair

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.

T. Y. S. S. Santosh, Irtiza Chowdhury, Shanshan Xu, Matthias Grabmair

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

CuSINeS: Curriculum-driven Structure Induced Negative Sampling for Statutory Article Retrieval.

T. Y. S. S. Santosh, Kristina Kaiser, Matthias Grabmair

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Mind Your Neighbours: Leveraging Analogous Instances for Rhetorical Role Labeling for Legal Documents.

T. Y. S. S. Santosh, Hassan Sarwat, Ahmed Mohamed Abdelaal Abdou, Matthias Grabmair

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Query-driven Relevant Paragraph Extraction from Legal Judgments.

T. Y. S. S. Santosh, Elvin Quero Hernandez, Matthias Grabmair

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.

T. Y. S. S. Santosh, Rashid Haddad, Matthias Grabmair

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Towards Explainability and Fairness in Swiss Judgement Prediction: Benchmarking on a Multilingual Dataset.

T. Y. S. S. Santosh, Nina Baumgartner, Matthias Stürmer, Matthias Grabmair, Joel Niklaus

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

LexAbSumm: Aspect-based Summarization of Legal Decisions.

T. Y. S. S. Santosh, Mahmoud Aly, Matthias Grabmair

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.

Shanshan Xu, T. Y. S. S. Santosh, Oana Ichim, Barbara Plank, Matthias Grabmair

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.

T. Y. S. S. Santosh, Tuan-Quang Vuong, Matthias Grabmair

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

A Tale of Two Revisions: Summarizing Changes Across Document Versions.

T. Y. S. S. Santosh, Natwar Modani, Apoorv Saxena

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Label informed hierarchical transformers for sequential sentence classification in scientific abstracts.

Tokala Yaswanth Sri Sai Santosh, Sai Saketh Aluru, Anoop Vallabhajosyula, Debarshi Kumar Sanyal, Partha Pratim Das

Expert Syst. J. Knowl. Eng., July, 2023

From Dissonance to Insights: Dissecting Disagreements in Rationale Construction for Case Outcome Classification.

Shanshan Xu, T. Y. S. S. Santosh, Oana Ichim, Isabella Risini, Barbara Plank, Matthias Grabmair

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.

Shanshan Xu, Leon Staufer, T. Y. S. S. Santosh, Oana Ichim, Corina Heri, Matthias Grabmair

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.

T. Y. S. S. Santosh, Philipp Bock, Matthias Grabmair

Proceedings of the Advances in Information Retrieval, 2023

Zero-shot Transfer of Article-aware Legal Outcome Classification for European Court of Human Rights Cases.

T. Y. S. S. Santosh, Oana Ichim, Matthias Grabmair

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.

T. Y. S. S. Santosh, Marcel Perez San Blas, Phillip Kemper, Matthias Grabmair

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2022

Deconfounding Legal Judgment Prediction for European Court of Human Rights Cases Towards Better Alignment with Experts.

Tokala Yaswanth Sri Sai Santosh, Shanshan Xu, Oana Ichim, Matthias Grabmair

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Gazetteer-Guided Keyphrase Generation from Research Papers.

T. Y. S. S. Santosh, Debarshi Kumar Sanyal, Plaban Kumar Bhowmick, Partha Pratim Das

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Joint Entity and Relation Extraction from Scientific Documents: Role of Linguistic Information and Entity Types.

Tokala Yaswanth Sri Sai Santosh, Prantika Chakraborty, Sudakshina Dutta, Debarshi Kumar Sanyal, Partha Pratim Das

Proceedings of the 2nd Workshop on Extraction and Evaluation of Knowledge Entities from Scientific Documents (EEKE 2021) co-located with JCDL 2021, 2021

HiCoVA: Hierarchical Conditional Variational Autoencoder for Keyphrase Generation.

Tokala Yaswanth Sri Sai Santosh, Nikhil Reddy Varimalla, Anoop Vallabhajosyula, Debarshi Kumar Sanyal, Partha Pratim Das

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

MVL: Multi-View Learning for News Recommendation.

T. Y. S. S. Santosh, Avirup Saha, Niloy Ganguly

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

DAKE: Document-Level Attention for Keyphrase Extraction.

Tokala Yaswanth Sri Sai Santosh, Debarshi Kumar Sanyal, Plaban Kumar Bhowmick, Partha Pratim Das

Proceedings of the Advances in Information Retrieval, 2020

SaSAKE: Syntax and Semantics Aware Keyphrase Extraction from Research Papers.

T. Y. S. S. Santosh, Debarshi Kumar Sanyal, Plaban Kumar Bhowmick, Partha Pratim Das

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

Enhancing access to scholarly publications with surrogate resources.

Debarshi Kumar Sanyal, Plaban Kumar Bhowmick, Partha Pratim Das, Samiran Chattopadhyay, T. Y. S. S. Santosh

Scientometrics, 2019

Incorporating Domain Knowledge into Medical NLI using Knowledge Graphs.

Soumya Sharma, Bishal Santra, Abhik Jana, T. Y. S. S. Santosh, Niloy Ganguly, Pawan Goyal

CoRR, 2019

Person Name Segmentation with Deep Neural Networks.

Tokala Yaswanth Sri Sai Santosh, Debarshi Kumar Sanyal, Partha Pratim Das

Proceedings of the Mining Intelligence and Knowledge Exploration, 2019

Can Siamese Networks help in stance detection?

T. Y. S. S. Santosh, Srijan Bansal, Avirup Saha

Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2019

Hate Speech Detection in Hindi-English Code-Mixed Social Media Text.

T. Y. S. S. Santosh, K. V. S. Aravind

Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2019

2018

Surrogator: A Tool to Enrich a Digital Library with Open Access Surrogate Resources.

T. Y. S. S. Santosh, Debarshi Kumar Sanyal, Plaban Kumar Bhowmick, Partha Pratim Das

Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries, 2018