Bonafide at LegalLens 2024 Shared Task: Using Lightweight DeBERTa Based Encoder For Legal Violation Detection and Resolution

2024-10-30 · Shikha Bordia

In this work, we present two systems -- Named Entity Resolution (NER) and Natural Language Inference (NLI) -- for detecting legal violations within unstructured textual data and for associating these violations with potentially affected individuals, respectively. Both these systems are lightweight DeBERTa based encoders that outperform the LLM baselines. The proposed NER system achieved an F1 score of 60.01\% on Subtask A of the LegalLens challenge, which focuses on identifying violations. The proposed NLI system achieved an F1 score of 84.73\% on Subtask B of the LegalLens challenge, which focuses on resolving these violations by matching them with pre-existing legal complaints of class action cases. Our NER system ranked sixth and NLI system ranked fifth on the LegalLens leaderboard. We release the trained models and inference scripts.

📄 PDF Abstract BibTeX arXiv:2410.22977

Code (1)

BordiaS/LegalLens_inference 공식 구현 pytorch

Tasks

Entity Resolution Natural Language Inference NER

Methods 이 논문이 사용한 방법론

How do I file a dispute with Expedia?*DisputeFastService How do I file a dispute with Expedia? To file a dispute with Expedia, call +1(888) (829) (0881) OR +1(805) (330) (4056), or use their Help Center to submit your case with…

DeBERTa DeBERTa is a Transformer-based neural language model that aims to improve the…

LegalLens Shared Task 2024: Legal Violation Identification in Unstructured Text

2024-10-15 · Ben Hagag, Liav Harpaz, Gil Semo, Dor Bernsohn 외

This paper presents the results of the LegalLens Shared Task, focusing on detecting legal violations within text in the wild across two sub-tasks: LegalLens-NER for identifying legal violation entities and LegalLens-NLI …

NER

uOttawa at LegalLens-2024: Transformer-based Classification Experiments

2024-10-28 · Nima Meghdadi, Diana Inkpen

This paper presents the methods used for LegalLens-2024 shared task, which focused on detecting legal violations within unstructured textual data and associating these violations with potentially affected individuals. Th…

Classification named-entity-recognition Named Entity Recognition Natural Language Inference+1

GJG@TamilNLP-ACL2022: Emotion Analysis and Classification in Tamil using Transformers

2022-05-01 · DravidianLangTech (ACL) 2022 5 · Janvi Prasad, Gaurang Prasad, Gunavathi C

This paper describes the systems built by our team for the “Emotion Analysis in Tamil” shared task at the Second Workshop on Speech and Language Technologies for Dravidian Languages at ACL 2022. There were two multi-clas…

Emotion Recognition Multi-class Classification

GJG@TamilNLP-ACL2022: Using Transformers for Abusive Comment Classification in Tamil

2022-05-01 · DravidianLangTech (ACL) 2022 5 · Gaurang Prasad, Janvi Prasad, Gunavathi C

This paper presents transformer-based models for the “Abusive Comment Detection” shared task at the Second Workshop on Speech and Language Technologies for Dravidian Languages at ACL 2022. Our team participated in both t…

Classification Multi-class Classification

Augmenting Legal Decision Support Systems with LLM-based NLI for Analyzing Social Media Evidence

2024-10-21 · Ram Mohan Rao Kadiyala, Siddartha Pullakhandam, Kanwal Mehreen, Subhasya Tippareddy 외

This paper presents our system description and error analysis of our entry for NLLP 2024 shared task on Legal Natural Language Inference (L-NLI) \citep{hagag2024legallenssharedtask2024}. The task required classifying the…

Natural Language Inference