mlsanityData to 7 Oct 2026

CAPTAIN at COLIEE 2023: Efficient Methods for Legal Information Retrieval and Entailment Tasks

arXiv 2401.03551 ↗First posted 7 Jan 2024cs.CL cs.IRcited by 4

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Abstract (arXiv)

The Competition on Legal Information Extraction/Entailment (COLIEE) is held annually to encourage advancements in the automatic processing of legal texts. Processing legal documents is challenging due to the intricate structure and meaning of legal language. In this paper, we outline our strategies for tackling Task 2, Task 3, and Task 4 in the COLIEE 2023 competition. Our approach involved utilizing appropriate state-of-the-art deep learning methods, designing methods based on domain characteristics observation, and applying meticulous engineering practices and methodologies to the competition. As a result, our performance in these tasks has been outstanding, with first places in Task 2 and Task 3, and promising results in Task 4. Our source code is available at https://github.com/Nguyen2015/CAPTAIN-COLIEE2023/tree/coliee2023.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 9 of its 34 references that are in the map. First posted on arXiv 7 Jan 2024.

Builds on

9 of 34 references.

References · 9

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,491
  3. 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,049
  4. 2016MS MARCO: A Human Generated MAchine Reading COmprehension Datasetcited by 1,591
  5. 2020JNLP Team: Deep Learning for Legal Processing in COLIEE 2020cited by 14
  6. 2019Repurposing Entailment for Multi-Hop Question Answering Taskscited by 10
  7. 2021JNLP Team: Deep Learning Approaches for Legal Processing Tasks in COLIEE 2021cited by 8
  8. 2020THUIR@COLIEE-2020: Leveraging Semantic Understanding and Exact Matching for Legal Case Retrieval and Entailmentcited by 5
  9. 2021ParaLaw Nets -- Cross-lingual Sentence-level Pretraining for Legal Text Processingcited by 5

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 3; 2025: 0; 2026: 1.

4 papers.

  1. 2024Is It Really Long Context if All You Need Is Retrieval? Towards Genuinely Difficult Long Context NLPcited by 27
  2. 2024Enhancing Legal Document Retrieval: A Multi-Phase Approach with Large Language Modelscited by 3
  3. 2024Exploiting LLMs' Reasoning Capability to Infer Implicit Concepts in Legal Information Retrievalcited by 1
  4. 2026LentEx: Generalizable Latent Entity Extraction via Synthetic Data and Instruction-Tuned LLMscited by 1