VLH team at ALQAC 2022: Retrieving legal document and extracting answer with BERT-based model-Reference-Cited by-同舟云学术

VLH team at ALQAC 2022: Retrieving legal document and extracting answer with BERT-based model

Published:2022-10-19 Issue: Volume: Page:
ISSN:
Container-title:2022 14th International Conference on Knowledge and Systems Engineering (KSE)
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Author:

Nguyen Hai-Long¹,Nguyen Thai-Binh¹,Nguyen Tan-Minh¹,Nguyen Ha-Thanh²,Vuong Hai-Yen Thi¹

Affiliation:

1. VNU University of Engineering and Technology,Hanoi,Vietnam

2. National Institute of Informatics,Tokyo,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9953734/9953612/09953625.pdf?arnumber=9953625

Reference18 articles.

1. A fast and accurate vietnamese word segmenter;nguyen;Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018),2018

2. Jnlp team: Deep learning for legal processing in coliee 2020;nguyen;arXiv preprint arXiv 2011 08026,2020

3. Jnlp team: Deep learning approaches for legal processing tasks in coliee 2021;nguyen;arXiv preprint arXiv 2106 13112,2021

4. A deep learning approach for statute law entailment task in coliee-2019;nguyen;Proceedings of the 6th Competition on Legal Information Extraction/Entailment COLIEE,2019

5. Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

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1. NeCo@ALQAC 2023: Legal Domain Knowledge Acquisition for Low-Resource Languages through Data Enrichment;2023 15th International Conference on Knowledge and Systems Engineering (KSE);2023-10-18

2. ALQAC 2022: A Summary of the Competition;2022 14th International Conference on Knowledge and Systems Engineering (KSE);2022-10-19