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Artificial Intelligence and Law

14-03-2023 | Original Research

Semantic matching based legal information retrieval system for COVID-19 pandemic

Authors: Junlin Zhu, Jiaye Wu, Xudong Luo, Jie Liu

Published in: Artificial Intelligence and Law

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Abstract

Recently, the pandemic caused by COVID-19 is severe in the entire world. The prevention and control of crimes associated with COVID-19 are critical for controlling the pandemic. Therefore, to provide efficient and convenient intelligent legal knowledge services during the pandemic, we develop an intelligent system for legal information retrieval on the WeChat platform in this paper. The data source we used for training our system is “The typical cases of national procuratorial authorities handling crimes against the prevention and control of the new coronary pneumonia pandemic following the law”, which is published online by the Supreme People’s Procuratorate of the People’s Republic of China. We base our system on convolutional neural network and use the semantic matching mechanism to capture inter-sentence relationship information and make a prediction. Moreover, we introduce an auxiliary learning process to help the network better distinguish the relation between two sentences. Finally, the system uses the trained model to identify the information entered by a user and responds to the user with a reference case similar to the query case and gives the reference legal gist applicable to the query case.

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Abolghasemi A, Verberne S, Azzopardi L (2022) Improving BERT-based query-by-document retrieval with multi-task optimization. European Conference on Information Retrieval, Lecture Notes in Computer Science 13186:3–12

Alzubi JA, Jain R, Singh A, Parwekar P, Gupta M (2021) COBERT: COVID-19 question answering system using BERT. Arab J Sci Eng 46:1–11

Aonillah MZ, Hasmawati H, Romadhony A (2022) Question entailment on developing Indonesian COVID-19 question answering system. J Comput Syst Inform 3(4):269–276

Askari A, Verberne S, Alonso O, Marchesin S, Najork M, Silvello G (2021) Combining lexical and neural retrieval with longformer-based summarization for effective case law retrieva. In: Proceedings of the 2nd International Conference on Design of Experimental Search & Information Retrieval Systems, pp 162–170

Assareh A (2022) Information retrieval from alternative data using zero-shot self-supervised learning. In: 2022 IEEE Symposium on Computational Intelligence for Financial Engineering and Economics, pp 1–5

Cao Y, Li T, Jia Z, Yin C (2019) BiGRU: new method of Chinese text sentiment analysis. Comput Sci Explor 13(6):973–981

Chen Q, Zhu X, Ling ZH, Wei S, Jiang H, Inkpen D (2017) Enhanced LSTM for natural language inference. In: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, vol 1, pp 1657–1668

Devlin J, Chang MW, Lee K, Toutanova K (2019) BERT: Pre-training of deep bidirectional transformers for language understanding. In: Proceedings of the 17th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, vol 1, pp 4171–4186

Ding M, Zhou C, Yang H, Tang J (2020) CogLTX: applying BERT to long texts. Adv Neural Inf Process Syst 33:12792–12804

Duan X, Wang B, Wang Z, Ma W, Cui Y, Wu D, Wang S, Liu T, Huo T, Hu Z, Wang H, Liu Z (2019) CJRC: A reliable human-annotated benchmark dataset for Chinese judicial reading comprehension. In: Chinese Computational Linguistics. Lecture Notes in Computer Science, vol 11856, pp 439–451

Esteva A, Kale A, Paulus R, Hashimoto K, Yin W, Radev D, Socher R (2021) COVID-19 information retrieval with deep-learning based semantic search, question answering, and abstractive summarization. NPJ Digit Med 4(1):1–9CrossRef

Feng Y, Li C, Ng V (2022) Legal judgment prediction via event extraction with constraints. In: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, vol 1, pp 648–664

Gardner MW, Dorling S (1998) Artificial neural networks (the multilayer perceptron): a review of applications in the atmospheric sciences. Atmos Environ 32(14–15):2627–2636CrossRef

Graves A, Schmidhuber J (2005) Framewise phoneme classification with bidirectional LSTM and other neural network architectures. Neural Netw 18(5–6):602–610CrossRef

Guo Y, Ma Z, Mao J, Qian H, Zhang X, Jiang H, Cao Z, Dou Z (2022) Webformer: Pre-training with web pages for information retrieval. In: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp 1502–1512

Hadsell R, Chopra S, LeCun Y (2006) Dimensionality reduction by learning an invariant mapping. In: Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol 2, pp 1735–1742

Hu Z, Li X, Tu C, Liu Z, Sun M (2018) Few-shot charge prediction with discriminative legal attributes. In: Proceedings of the 27th International Conference on Computational Linguistics, pp 487–498

Huang Q, Luo X (2018) State-of-the-art and development trend of artificial intelligence combined with law. Comput Sci 45(12):1–11

Kano Y, Kim MY, Yoshioka M, Lu Y, Rabelo J, Kiyota N, Goebel R, Satoh K (2018) COLIEE-2018: Evaluation of the competition on legal information extraction and entailment. JSAI International Symposium on Artificial Intelligence, Lecture Notes in Computer Science 11717:177–192

Khattab O, Zaharia M (2020) ColBERT: Efficient and effective passage search via contextualized late interaction over BERT. In: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, pp 39–48

Klaus S, Van Hecke R, Djafari Naini K, Altingovde IS, Bernabé-Moreno J, Herrera-Viedma E (2022) Summarizing legal regulatory documents using transformers. In: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp 2426–2430

Krizhevsky A, Sutskever I, Hinton GE (2017) Imagenet classification with deep convolutional neural networks. Commun ACM 60:84–90CrossRef

Lang K (1995) Newsweeder: Learning to filter netnews. In: Proceedings of the 12th International Conference on International Conference on Machine Learning, pp 331–339

Li M, Gaussier E (2021) KeyBLD: Selecting key blocks with local pre-ranking for long document information retrieval. In: Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp 2207–2211

Li S, Zhao Z, Hu R, Li W, Liu T, Du X (2018) Analogical reasoning on Chinese morphological and semantic relations. In: Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, vol 2, pp 138–143

Liu CL, Hsieh CD (2006) Exploring phrase-based classification of judicial documents for criminal charges in Chinese. In: Foundations of Intelligent Systems. Lecture Notes in Computer Science, vol 4203, pp 681–690

Liu P, Wang S, Wang X, Ye W, Zhang S (2021) QuadrupletBERT: An efficient model for embedding-based large-scale retrieval. In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp 3734–3739

Liu Y, Luo X, Yang X (2019) Semantics and structure based recommendation of similar legal cases. In: Proceedings of the 2019 IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering, pp 388–395

Locke D, Zuccon G (2018) A test collection for evaluating legal case law search. In: Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, pp 1261–1264

Ma J, Korotkov I, Yang Y, Hall K, McDonald R (2021a) Zero-shot neural passage retrieval via domain-targeted synthetic question generation. In: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics, pp 1075–1088

Ma L, Zhang Y, Wang T, Liu X, Ye W, Sun C, Zhang S (2021b) Legal judgment prediction with multi-stage case representation learning in the real court setting. In: Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp 993–1002

Ma Y, Shao Y, Wu Y, Liu Y, Zhang R, Zhang M, Ma S (2021c) LeCaRD: A legal case retrieval dataset for Chinese law system. In: Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp 2342–2348

MacAvaney S, Soldaini L, Goharian N (2020) Teaching a new dog old tricks: Resurrecting multilingual retrieval using zero-shot learning. European Conference on Information Retrieval, Lecture Notes in Computer Science 12036:246–254

Maillard J, Karpukhin V, Petroni F, Yih Wt, Oguz B, Stoyanov V, Ghosh G (2021) Multi-task retrieval for knowledge-intensive tasks. In: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, vol 1, pp 1098–1111

Mao W, Chu WW (2002) Free-text medical document retrieval via phrase-based vector space model. In: Proceedings of the AMIA Symposium, pp 489–493

Mokrii I, Boytsov L, Braslavski P (2021) A systematic evaluation of transfer learning and pseudo-labeling with BERT-based ranking models. In: Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp 2081–2085

Mou L, Men R, Li G, Xu Y, Zhang L, Yan R, Jin Z (2016) Natural language inference by tree-based convolution and heuristic matching. In: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, vol 2, pp 130–136

Nair S, Yang E, Lawrie D, Duh K, McNamee P, Murray K, Mayfield J, Oard DW (2022) Transfer learning approaches for building cross-language dense retrieval models. European Conference on Information Retrieval, Lecture Notes in Computer Science 13185:382–396

Nair V, Hinton GE (2010) Rectified linear units improve restricted Boltzmann machines. In: Proceedings of the 27th International Conference on International Conference on Machine Learning, pp 807–814

Nejadgholi I, Bougueng R, Witherspoon S (2017) A semi-supervised training method for semantic search of legal facts in canadian immigration cases. In: Proceedings of the 30th International Conference on Legal Knowledge and Information Systems, pp 125–134

Nguyen DH, Nguyen BS, Nghiem NVD, Le DT, Khatun MA, Nguyen MT, Le H (2021) Robust deep reinforcement learning for extractive legal summarization. In: Proceedings of the 28th International Conference on Neural Information Processing, Communications in Computer and Information Science, vol 1517, pp 597–604

Novotná T (2020) Document similarity of Czech supreme court decisions. Masaryk Univ J Law Technol 14(1):105–122CrossRef

Pang L, Lan Y, Guo J, Xu J, Wan S, Cheng X (2016) Text matching as image recognition. In: Proceedings of the 30th AAAI Conference on Artificial Intelligence, pp 2793–2799

Rabelo J, Goebel R, Kim MY, Kano Y, Yoshioka M, Satoh K (2022) Overview and discussion of the competition on legal information extraction/entailment (COLIEE) 2021. Rev Socionetw Strateg 16(1):111–133CrossRef

Reimers N, Gurevych I (2019) Sentence-BERT: Sentence embeddings using siamese BERT-networks. In: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, pp 3973–3983

Rossi J, Kanoulas E (2019) Legal search in case law and statute law. In: Proceedings of the 32th International Conference on Legal Knowledge and Information Systems, vol 322, pp 83–92

Sampath K, Durairaj T (2022) PReLCaP: precedence retrieval from legal documents using catch phrases. Neural Process Lett 54:1–19CrossRef

Šavelka J, Ashley KD (2022) Legal information retrieval for understanding statutory terms. Artif Intell Law 30(2):245–289CrossRef

Savelka J, Xu H, Ashley KD (2019) Improving sentence retrieval from case law for statutory interpretation. In: Proceedings of the 17th International Conference on Artificial Intelligence and Law, pp 113–122

Severyn A, Moschitti A (2015) Learning to rank short text pairs with convolutional deep neural networks. In: Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp 373–382

Shao Y, Mao J, Liu Y, Ma W, Satoh K, Zhang M, Ma S (2020) BERT-PLI: Modeling paragraph-level interactions for legal case retrieval. In: Proceedings of the 29th International Joint Conferences on Artificial Intelligence, pp 3501–3507

Sugathadasa K, Ayesha B, Silva Nd, Perera AS, Jayawardana V, Lakmal D, Perera M (2018) Legal document retrieval using document vector embeddings and deep learning. Science and Information Conference, Advances in Intelligent Systems and Computing 857:160–175

Tran V, Nguyen ML, Satoh K (2019) Building legal case retrieval systems with lexical matching and summarization using a pre-trained phrase scoring model. In: Proceedings of the 17th International Conference on Artificial Intelligence and Law, pp 275–282

Tran V, Tran VH, Nguyen P, Nguyen C, Satoh K, Matsumoto Y, Nguyen M (2021) CovRelex: A COVID-19 retrieval system with relation extraction. In: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pp 24–31

Trischler A, Wang T, Yuan X, Harris J, Sordoni A, Bachman P, Suleman K (2017) NewsQA: A machine comprehension dataset. In: Proceedings of the 2nd Workshop on Representation Learning for NLP, pp 191–200

Wan Z, Ye N (2021) Similarity calculation method of siamese-CNN judgment document based on TinyBERT. In: 2021 International Conference on Intelligent Computing, Automation and Applications, pp 27–32

Wang R, Zhang Z, Zhuang F, Gao D, Wei Y, He Q (2021) Adversarial domain adaptation for cross-lingual information retrieval with multilingual BERT. In: Proceedings of the 30th ACM International Conference on Information & Knowledge Management, pp 3498–3502

Wang W, Yan M, Wu C (2018) Multi-granularity hierarchical attention fusion networks for reading comprehension and question answering. In: Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, pp 1705–1714

Weber R, Martins A, Barcia R (1998) On legal texts and cases. Federal University of Santa Catarina, Tech. rep

Wehnert S, Sudhi V, Dureja S, Kutty L, Shahania S, De Luca EW (2021) Legal norm retrieval with variations of the BERT model combined with TF-IDF vectorization. In: Proceedings of the 18th International Conference on Artificial Intelligence and Law, pp 285–294

Westermann H, Šavelka J, Walker VR, Ashley KD, Benyekhlef K (2019) Computer-assisted creation of boolean search rules for text classification in the legal domain. In: Proceedings of the 32th International Conference on Legal Knowledge and Information Systems, pp 123–132

Wharton CM, Holyoak KJ, Downing PE, Lange TE, Wickens TD, Melz ER (1994) Below the surface: analogical similarity and retrieval competition in reminding. Cogn Psychol 26(1):64–101CrossRef

Wise C, Calvo MR, Bhatia P, Ioannidis V, Karypus G, Price G, Song X, Brand R, Kulkani N (2020) COVID-19 knowledge graph: Accelerating information retrieval and discovery for scientific literature. In: Proceedings of Knowledgeable NLP: the First Workshop on Integrating Structured Knowledge and Neural Networks for NLP, pp 1–10

Xiao C, Hu X, Liu Z, Tu C, Sun M (2021) Lawformer: a pre-trained language model for Chinese legal long documents. AI Open 2:79–84CrossRef

Ye H, Jiang X, Luo Z, Chao W (2018) Interpretable charge predictions for criminal cases: Learning to generate court views from fact descriptions. In: Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018, vol 1, pp 1854–1864

Yu S, Liu Z, Xiong C, Feng T, Liu Z (2021) Few-shot conversational dense retrieval. In: Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp 829–838

Zhong H, Wang Y, Tu C, Zhang T, Liu Z, Sun M (2020) Iteratively questioning and answering for interpretable legal judgment prediction. In: Proceedings of the AAAI Conference on Artificial Intelligence 34:1250–1257

Zhong H, Xiao C, Tu C, Zhang T, Liu Z, Sun M (2020b) JEC-QA: A legal-domain question answering dataset. In: Proceedings of the 34th AAAI Conference on Artificial Intelligence, pp 9701–9708

Zhong Q, Fan X, Luo X, Toni F (2019) An explainable multi-attribute decision model based on argumentation. Expert Syst Appl 117:42–61CrossRef

Zhu J, Luo X, Wu J (2022) A BERT-based two-stage ranking method for legal case retrieval. Knowledge Science, Engineering and Management, Lecture Notes in Computer Science 13369:534–546

Title: Semantic matching based legal information retrieval system for COVID-19 pandemic
Authors: Junlin Zhu
Jiaye Wu
Xudong Luo
Jie Liu
Publication date: 14-03-2023
Publisher: Springer Netherlands
Published in: Artificial Intelligence and Law
Print ISSN: 0924-8463
Electronic ISSN: 1572-8382
DOI: https://doi.org/10.1007/s10506-023-09354-x

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