mlsanityData to 7 Oct 2026

A Summary of the ALQAC 2021 Competition

arXiv 2204.10717 ↗First posted 22 Apr 2022cs.CLcited by 9

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Abstract (arXiv)

We summarize the evaluation of the first Automated Legal Question Answering Competition (ALQAC 2021). The competition this year contains three tasks, which aims at processing the statute law document, which are Legal Text Information Retrieval (Task 1), Legal Text Entailment Prediction (Task 2), and Legal Text Question Answering (Task 3). The final goal of these tasks is to build a system that can automatically determine whether a particular statement is lawful. There is no limit to the approaches of the participating teams. This year, there are 5 teams participating in Task 1, 6 teams participating in Task 2, and 5 teams participating in Task 3. There are in total 36 runs submitted to the organizer. In this paper, we summarize each team's approaches, official results, and some discussion about the competition. Only results of the teams who successfully submit their approach description paper are reported in this paper.

Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). Builds on 4 of its 12 references that are in the map. First posted on arXiv 22 Apr 2022.

Builds on

4 of 12 references.

References · 4

  1. 2017Attention Is All You Needcited by 59,932
  2. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  3. 2020PhoBERT: Pre-trained language models for Vietnamesecited by 148
  4. 2021ParaLaw Nets -- Cross-lingual Sentence-level Pretraining for Legal Text Processingcited by 5

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 3; 2023: 4; 2024: 1; 2025: 0; 2026: 1.

9 papers.