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https://github.com/dalinvip/Awesome-Law-NLP-Research-Work

Awesome Law NLP Research Work, Paper, Competition, Onlline System
https://github.com/dalinvip/Awesome-Law-NLP-Research-Work

List: Awesome-Law-NLP-Research-Work

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Awesome Law NLP Research Work, Paper, Competition, Onlline System

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# Awesome-Law-NLP-Research-Work

Summary of NLP related research work in the field of law in recent years, contains paper, competition and some excellent projects, online system.



**`It will be updated gradually.`**



----------

## Outline ##

- Outline

	- [Paper](https://github.com/bamtercelboo/Awesome-Law-NLP-Research-Work#paper)

	- [Competition](https://github.com/bamtercelboo/Awesome-Law-NLP-Research-Work#competition)

	- [Online System](https://github.com/bamtercelboo/Awesome-Law-NLP-Research-Work#online-system)

	- [Question](https://github.com/bamtercelboo/Awesome-Law-NLP-Research-Work#question)  



----------



## Paper ##

####    2017 ####



1. *Luo B, Feng Y, Xu J, et al*. **Learning to Predict Charges for Criminal Cases with Legal Basis**[C]//Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing. 2017: 2727-2736. [[PDF](https://www.aclweb.org/anthology/D17-1289.pdf)]  

2. *Xiao G, Mo J, Chow E, et al*. **Multi-Task CNN for classification of Chinese legal questions**[C]//2017 IEEE 14th International Conference on e-Business Engineering (ICEBE). IEEE, 2017: 84-90. [[PDF](https://ieeexplore.ieee.org/abstract/document/8119134)]  

3. *Zhang N, Pu Y F, Yang S Q, et al*. **An ontological Chinese legal consultation system**[J]. IEEE Access, 2017, 5: 18250-18261. [[PDF](https://ieeexplore.ieee.org/abstract/document/8016577)]  

4. *Xiao G, Chow E, Chen H, et al*. **Chinese Questions Classification in the Law Domain**[C]//2017 IEEE 14th International Conference on e-Business Engineering (ICEBE). IEEE, 2017: 214-219. [[PDF](https://ieeexplore.ieee.org/abstract/document/8119153)]  

5. *Nazarenko A, Wyner A.* **Legal NLP Introduction**[J]. TAL, 2017, 58: 7-19. [[PDF](http://www.atala.org/sites/default/files/1-%20TAL-58-2-legal%20NLP-introduction.pdf)]  

6. *Sulea O M, Zampieri M, Malmasi S, et al*. **Exploring the use of text classification in the legal domain**[J]. arXiv preprint arXiv:1710.09306, 2017. [[PDF](https://arxiv.org/pdf/1710.09306.pdf)]  

7. *Sulea O M, Zampieri M, Vela M, et al*. **Predicting the law area and decisions of french supreme court cases**[J]. arXiv preprint arXiv:1708.01681, 2017. [[PDF](https://arxiv.org/pdf/1708.01681.pdf)]

8. *Kanapala A, Pal S, Pamula R*. **Text summarization from legal documents: a survey**[J]. Artificial Intelligence Review, 2019, 51(3): 371-402. [[PDF](https://link.springer.com/article/10.1007/s10462-017-9566-2)]  

9. *Hang N T A*. **Applying deep neural network to retrieve relevant civil law articles**[C]//Proceedings of the Student Research Workshop associated with RANLP. 2017: 46-48. [[PDF](https://acl-bg.org/proceedings/2017/RANLPStud%202017/pdf/RANLPStud007.pdf)]

10. *Do P K, Nguyen H T, Tran C X, et al*. **Legal question answering using ranking SVM and deep convolutional neural network**[J]. arXiv preprint arXiv:1703.05320, 2017. [[PDF](https://arxiv.org/abs/1703.05320)]  



####    2018 ####



1. *Zhong H, Xiao C, Guo Z, et al*. **Overview of cail2018: Legal judgment prediction competition**[J]. arXiv preprint arXiv:1810.05851, 2018. [[PDF](https://arxiv.org/pdf/1810.05851.pdf)]  

2. *Xiao C, Zhong H, Guo Z, et al*. **Cail2018: A large-scale legal dataset for judgment prediction**[J]. arXiv preprint arXiv:1807.02478, 2018. [[PDF](https://arxiv.org/pdf/1807.02478.pdf)]  

3. *Hu Z, Li X, Tu C, et al.* **Few-shot charge prediction with discriminative legal attributes**[C]//Proceedings of the 27th International Conference on Computational Linguistics. 2018: 487-498. [[PDF](http://aclweb.org/anthology/C18-1041)]

4. *Jiang X, Ye H, Luo Z, et al.* **Interpretable rationale augmented charge prediction system**[C]//Proceedings of the 27th International Conference on Computational Linguistics: System Demonstrations. 2018: 146-151. [[PDF](http://aclweb.org/anthology/C18-2032)]  

5. *Ye H, Jiang X, Luo Z, et al.* **Interpretable Charge Predictions for Criminal Cases: Learning to Generate Court Views from Fact Descriptions**[C]//Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers). 2018: 1854-1864. [[PDF](https://arxiv.org/pdf/1802.08504.pdf)] 

6. *Zhong H, Guo Z, Tu C, et al*. **Legal judgment prediction via topological learning**[C]//Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing. 2018: 3540-3549. [[PDF](http://www.aclweb.org/anthology/D18-1390)]

8. *Li J, Zhang G, Yan H, et al*. **A Markov Logic Networks Based Method to Predict Judicial Decisions of Divorce Cases**[C]//2018 IEEE International Conference on Smart Cloud (SmartCloud). IEEE, 2018: 129-132. [[PDF](https://ieeexplore.ieee.org/abstract/document/8513727)]  

9. *Li J, Zhang G, Yu L, et al*. **Research and Design on Cognitive Computing Framework for Predicting Judicial Decisions**[J]. Journal of Signal Processing Systems, 2019, 91(10): 1159-1167. [[PDF](https://link.springer.com/article/10.1007/s11265-018-1429-9)]  

10. *Long S, Tu C, Liu Z, et al.* **Automatic judgment prediction via legal reading comprehension**[C]//China National Conference on Chinese Computational Linguistics. Springer, Cham, 2019: 558-572. [[PDF](https://arxiv.org/pdf/1809.06537.pdf)]  

11. *Li P, Zhao F, Li Y, et al.* **Law text classification using semi-supervised convolutional neural networks**[C]//2018 Chinese Control and Decision Conference (CCDC). IEEE, 2018: 309-313. [[PDF](https://ieeexplore.ieee.org/abstract/document/8407150)]  

12. *Shen Y, Sun J, Li X, et al.* **Legal article-aware end-to-end memory network for charge prediction**[C]//Proceedings of the 2nd International Conference on Computer Science and Application Engineering. 2018: 1-5. [[PDF](https://dl.acm.org/doi/abs/10.1145/3207677.3278068)]  

13. *Merchant K, Pande Y.* **Nlp based latent semantic analysis for legal text summarization**[C]//2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI). IEEE, 2018: 1803-1807.[[PDF](https://ieeexplore.ieee.org/abstract/document/8554831)]  

14. *Fawei B, Pan J Z, Kollingbaum M, et al.* **A methodology for a criminal law and procedure ontology for legal question answering**[C]//Joint International Semantic Technology Conference. Springer, Cham, 2018: 198-214. [[PDF](https://link.springer.com/chapter/10.1007/978-3-030-04284-4_14)]  

15. *Chalkidis I, Kampas D.* **Deep learning in law: early adaptation and legal word embeddings trained on large corpora**[J]. Artificial Intelligence and Law, 2019, 27(2): 171-198. [[PDF](https://link.springer.com/article/10.1007/s10506-018-9238-9)]  

16. *Delfino P, Cuconato B, Paulino-Passos G, et al*. **Using openwordnet-pt for question answering on legal domain**[C]//Proceedings of the 9th Global WordNet Conference (GWC 2018). 2018: 106. [[PDF](http://compling.hss.ntu.edu.sg/events/2018-gwc/pdfs/GWC2018_paper_59.pdf)]  

16. *Shen Y, Sun J, Li X, et al.* **Legal article-aware end-to-end memory network for charge prediction**[C]//Proceedings of the 2nd International Conference on Computer Science and Application Engineering. 2018: 1-5. [[PDF](https://dl.acm.org/doi/abs/10.1145/3207677.3278068)]

17. *Medvedeva M, Vols M, Wieling M.* **Judicial decisions of the European Court of Human Rights: Looking into the crystal ball**[C]//Proceedings of the Conference on Empirical Legal Studies. 2018.

18. *Undavia S, Meyers A, Ortega J E.* **A comparative study of classifying legal documents with neural networks**[C]//2018 Federated Conference on Computer Science and Information Systems (FedCSIS). IEEE, 2018: 515-522.

19. *Elnaggar A, Gebendorfer C, Glaser I, et al*. **Multi-task deep learning for legal document translation, summarization and multi-label classification**[C]//Proceedings of the 2018 Artificial Intelligence and Cloud Computing Conference. 2018: 9-15.

20. *Li S, Zhang H, Ye L, et al.* **Evaluating the rationality of judicial decision with LSTM-based case modeling**[C]//2018 IEEE Third International Conference on Data Science in Cyberspace (DSC). IEEE, 2018: 392-397.



####    2019 ####

1. *Yang W, Jia W, Zhou X I, et al*. **Legal judgment prediction via multi-perspective bi-feedback network**[J]. arXiv preprint arXiv:1905.03969, 2019. [[PDF](https://arxiv.org/pdf/1905.03969.pdf)]  

2. *王业沛, 宋梦姣, 王譞, 等*. **基于深度学习的判决结果倾向性分析**[J]. 计算机应用研究, 2019, 36(2). [[PDF](http://www.arocmag.com/article/01-2019-02-004.html)]  

3. *刘宗林, 张梅山, 甄冉冉, 公佐权, 余南, 付国宏.*  **融入罪名关键词的法律判决预测多任务学习模型**[J]. 清华大学学报（自然科学版）, 2019, 59(7): 497-504. [[PDF](http://jst.tsinghuajournals.com/CN/10.16511/j.cnki.qhdxxb.2019.21.020)]  

4. *王文广, 陈运文, 蔡华, 曾彦能, 杨慧宇.*  **基于混合深度神经网络模型的司法文书智能化处理**[J]. 清华大学学报（自然科学版）, 2019, 59(7): 505-511. [[PDF](http://jst.tsinghuajournals.com/CN/10.16511/j.cnki.qhdxxb.2019.21.015)]  

5. *曾道建, 童国维, 戴愿, 李峰, 韩冰, 谢松县*.  **基于序列到序列模型的法律问题关键词抽取**[J]. 清华大学学报（自然科学版）, 2019, 59(4): 256-261. [[PDF](http://jst.tsinghuajournals.com/CN/10.16511/j.cnki.qhdxxb.2019.21.007)]  

6. *Chalkidis I, Androutsopoulos I, Aletras N.* **Neural Legal Judgment Prediction in English**[J]. arXiv preprint arXiv:1906.02059, 2019. [[PDF](https://arxiv.org/pdf/1906.02059.pdf)]  

7. *Wei D, Lin L.* **An External Knowledge Enhanced Multi-label Charge Prediction Approach with Label Number Learning**[J]. arXiv preprint arXiv:1907.02205, 2019. [[PDF](https://arxiv.org/abs/1907.02205)] 

8. *Bao Q, Zan H, Gong P, et al.* **Charge Prediction with Legal Attention**[C]//CCF International Conference on Natural Language Processing and Chinese Computing. Springer, Cham, 2019: 447-458. [[PDF](https://link.springer.com/chapter/10.1007%2F978-3-030-32233-5_35)] 

9. *Chalkidis I, Fergadiotis M, Malakasiotis P, et al.* **Large-Scale Multi-Label Text Classification on EU Legislation**[J]. arXiv preprint arXiv:1906.02192, 2019. [[PDF](https://arxiv.org/abs/1906.02192)] 

10. *Chalkidis I, Fergadiotis M, Malakasiotis P, et al.* **Extreme multi-label legal text classification: A case study in EU legislation**[J]. arXiv preprint arXiv:1905.10892, 2019. [[PDF](https://www.aclweb.org/anthology/W19-2209/)] 

11. *Li Y, He T, Yan G, et al.* **Using Case Facts to Predict Penalty with Deep Learning**[C]//International Conference of Pioneering Computer Scientists, Engineers and Educators. Springer, Singapore, 2019: 610-617. [[PDF](https://link.springer.com/chapter/10.1007/978-981-15-0121-0_47)] 

12. *Chen H, Cai D, Dai W, et al.* **Charge-Based Prison Term Prediction with Deep Gating Network**[J]. arXiv preprint arXiv:1908.11521, 2019. [[PDF](https://arxiv.org/abs/1908.11521)] 

13. *Xu Z, He T, Lian H, et al.* **Case Facts Analysis Method Based on Deep Learning**[C]//International Conference on Web Information Systems and Applications. Springer, Cham, 2019: 92-97. [[PDF](https://link.springer.com/chapter/10.1007/978-3-030-30952-7_11)] 

14. *Wang P, Fan Y, Niu S, et al.* **Hierarchical matching network for crime classification**[C]//Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval. 2019: 325-334. [[PDF](https://dl.acm.org/citation.cfm?id=3331223)] 

15. *Chen Y S, Chiang S W, Juang T Y.* **A Few-Shot Transfer Learning Approach Using Text-label Embedding with Legal Attributes for Law Article Prediction**[R]. EasyChair, 2019. [[PDF](https://easychair.org/publications/preprint_download/Dbr3)] 

16. *Yang Z, Wang P, Zhang L, et al.* **A Recurrent Attention Network for Judgment Prediction**[C]//International Conference on Artificial Neural Networks. Springer, Cham, 2019: 253-266. [[PDF](https://link.springer.com/chapter/10.1007/978-3-030-30490-4_21)] 

17. *Chen S, Wang P, Fang W, et al.* **Learning to Predict Charges for Judgment with Legal Graph**[C]//International Conference on Artificial Neural Networks. Springer, Cham, 2019: 240-252. [[PDF](https://link.springer.com/chapter/10.1007/978-3-030-30490-4_20)] 

18. *Li J, Zhang G, Yu L, et al.* **Research and Design on Cognitive Computing Framework for Predicting Judicial Decisions**[J]. Journal of Signal Processing Systems, 2019, 91(10): 1159-1167. [[PDF](https://link.springer.com/article/10.1007/s11265-018-1429-9)] 

19. *Yan G, Li Y, Zhang S, et al*. **Data Augmentation for Deep Learning of Judgment Documents**[C]//International Conference on Intelligent Science and Big Data Engineering. Springer, Cham, 2019: 232-242. [[PDF](https://link.springer.com/chapter/10.1007/978-3-030-36204-1_19)]

20. *Liu Z, Tu C, Sun M.* **Legal Cause Prediction with Inner Descriptions and Outer Hierarchies**[C]//China National Conference on Chinese Computational Linguistics. Springer, Cham, 2019: 573-586. [[PDF](https://link.springer.com/chapter/10.1007/978-3-030-32381-3_46)]

21. *Yan G, Li Y, Shen S, et al*. **Law Article Prediction Based on Deep Learning**[C]//2019 IEEE 19th International Conference on Software Quality, Reliability and Security Companion (QRS-C). IEEE, 2019: 281-284.

22. *Li S, Zhang H, Ye L, et al*. **MANN: A Multichannel Attentive Neural Network for Legal Judgment Prediction**[J]. IEEE Access, 2019, 7: 151144-151155.

23. *Xiao C, Zhong H, Guo Z, et al*. **CAIL2019-SCM: A Dataset of Similar Case Matching in Legal Domain**[J]. arXiv preprint arXiv:1911.08962, 2019.

24. *Duan X, Wang B, Wang Z, et al*. **CJRC: A Reliable Human-Annotated Benchmark DataSet for Chinese Judicial Reading Comprehension**[C]//China National Conference on Chinese Computational Linguistics. Springer, Cham, 2019: 439-451.

25. *Bi S, Cheng X, Chen J, et al.* **Dispute Generation in Law Documents via Joint Context and Topic Attention**[C]//Joint International Semantic Technology Conference. Springer, Cham, 2019: 116-129.

26. *Pan S, Lu T, Gu N, et al.* **Charge Prediction for Multi-defendant Cases with Multi-scale Attention**[C]//CCF Conference on Computer Supported Cooperative Work and Social Computing. Springer, Singapore, 2019: 766-777.

27. *Zhang H, Wang X, Tan H, et al*. **Applying Data Discretization to DPCNN for Law Article Prediction**[C]//CCF International Conference on Natural Language Processing and Chinese Computing. Springer, Cham, 2019: 459-470.

28. *Kang L, Liu J, Liu L, et al.* **Creating Auxiliary Representations from Charge Definitions for Criminal Charge Prediction**[J]. arXiv preprint arXiv:1911.05202, 2019.

29. *Zhong H, Xiao C, Tu C, et al.* **JEC-QA: A Legal-Domain Question Answering Dataset**[J]. arXiv preprint arXiv:1911.12011, 2019.

30. *Yuan L, Wang J, Fan S, et al.* **Automatic Legal Judgment Prediction via Large Amounts of Criminal Cases**[C]//2019 IEEE 5th International Conference on Computer and Communications (ICCC). IEEE, 2019: 2087-2091.

31. *Li S, Liu B, Ye L, et al.* **Element-Aware Legal Judgment Prediction for Criminal Cases with Confusing Charges**[C]//2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI). IEEE, 2019: 660-667.

32. *Visentin A, Nardotto A, O’Sullivan B*. **Predicting Judicial Decisions: A Statistically Rigorous Approach and a New Ensemble Classifier**[C]//2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI). IEEE, 2019: 1820-1824.

33. *Branting K, Weiss B, Brown B, et al*. **Semi-Supervised Methods for Explainable Legal Prediction**[C]//Proceedings of the Seventeenth International Conference on Artificial Intelligence and Law. 2019: 22-31.

34. *Kaur A, Bozic B.* **Convolutional Neural Network-based Automatic Prediction Of Judgments Of The European Court of Human Rights**[J]. 2019.

35. *Ferro L, Aberdeen J, Branting K, et al.* **Scalable Methods for Annotating Legal-Decision Corpora**[C]//Proceedings of the Natural Legal Language Processing Workshop 2019. 2019: 12-20.

36. *Li S, Guo B, Cai Y, et al.* **Legal Case Inspection: An Analogy-Based Approach to Judgment Evaluation**[C]//International Conference on Artificial Intelligence and Security. Springer, Cham, 2019: 148-158.

37. *Chitta R, Hudek A K.* **A Reliable and Accurate Multiple Choice Question Answering System for Due Diligence**[C]//Proceedings of the Seventeenth International Conference on Artificial Intelligence and Law. 2019: 184-188.

38. *Wang H, He T, Zou Z, et al.* **Using Case Facts to Predict Accusation Based on Deep Learning**[C]//2019 IEEE 19th International Conference on Software Quality, Reliability and Security Companion (QRS-C). IEEE, 2019: 133-137.

39. *Vacek T, Teo R, Song D, et al.* **Litigation Analytics: Case outcomes extracted from US federal court dockets**[C]//Proceedings of the Natural Legal Language Processing Workshop 2019. 2019: 45-54.

40. *Wang Z, Wang B, Duan X, et al.* **IFlyLegal: A Chinese Legal System for Consultation, Law Searching, and Document Analysis**[C]//Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): System Demonstrations. 2019: 97-102.

41. *Yang X, Shi G, Lou J, et al.* **Interpretable Charge Prediction with Multi-Perspective Jointly Learning Model**[C]//2019 IEEE 5th International Conference on Computer and Communications (ICCC). IEEE, 2019: 1850-1855.

42. *Duan X, Zhang Y, Yuan L, et al.* **Legal Summarization for Multi-role Debate Dialogue via Controversy Focus Mining and Multi-task Learning**[C]//Proceedings of the 28th ACM International Conference on Information and Knowledge Management. 2019: 1361-1370.

43. *Wang Y, Xu M, Wang L, et al.* **JEDoDF: Judicial Event Discrimination Based on Deep Forest**[C]//2019 15th International Conference on Semantics, Knowledge and Grids (SKG). IEEE, 2019: 36-43.

44. *He C, Peng L, Le Y, et al.* **SECaps: A Sequence Enhanced Capsule Model for Charge Prediction**[C]//International Conference on Artificial Neural Networks. Springer, Cham, 2019: 227-239.

45. *Bansal N, Sharma A, Singh R K.* **A Review on the Application of Deep Learning in Legal Domain**[C]//IFIP International Conference on Artificial Intelligence Applications and Innovations. Springer, Cham, 2019: 374-381.

46. *Bhattacharya P, Ghosh K, Ghosh S, et al.* **Overview of the FIRE 2019 AILA track: Artificial Intelligence for Legal Assistance**[J]. Proc. of FIRE, 2019: 12-15.

47. *Bhattacharya P, Paul S, Ghosh K, et al.* **Identification of Rhetorical Roles of Sentences in Indian Legal Judgments**[J]. arXiv preprint arXiv:1911.05405, 2019.



####    2020



1. *Zhong H, Wang Y, Tu C, et al*. **Iteratively Questioning and Answering for Interpretable Legal Judgment Prediction**[J]. Association for the Advancement of Artificial Intelligence, 2020. [[PDF](https://www.aaai.org/Papers/AAAI/2020GB/AAAI-ZhongH.7101.pdf)]

2. *Li S, Zhang H, Ye L, et al.* **Prison Term Prediction on Criminal Case Description with Deep Learning**[J]. CMC-COMPUTERS MATERIALS & CONTINUA, 2020, 62(3): 1217-1231. [[PDF](https://www.researchgate.net/publication/339488726_Prison_Term_Prediction_on_Criminal_Case_Description_with_Deep_Learning)]

3. *Shaikh R A, Sahu T P, Anand V.* **Predicting Outcomes of Legal Cases based on Legal Factors using Classifiers**[J]. Procedia Computer Science, 2020, 167: 2393-2402.

4. *Xu N, Wang P, Chen L, et al*. **Distinguish Confusing Law Articles for Legal Judgment Prediction**[J]. arXiv preprint arXiv:2004.02557, 2020.

5. *Garofalakis J, Plessas K, Plessas A, et al.* **Application of an Ecosystem Methodology Based on Legal Language Processing for the Transformation of Court Decisions and Legal Opinions into Open Data**[J]. Information, 2020, 11(1): 10.

6. *Polo F M, Ciochetti I, Bertolo E.* **Predicting Legal Proceedings Status: an Approach Based on Sequential Text Data**[J]. arXiv preprint arXiv:2003.11561, 2020.

7. *Polpinij J, Bheganan P, Luaphol B, et al*. **Identifying of Decision Components in Thai Civil Case Decision by Text Classification Technique**[C]//International Conference on Computing and Information Technology. Springer, Cham, 2020: 11-20.

8. *Peng, D., Wu, Q.* **LegalCap: a model for complex case discrimination based on capsule neural network.** *Soft Comput* (2020). 

9. *Huang Y, Yu Z, Guo J, et al.* **Legal public opinion news abstractive summarization by incorporating topic information**[J]. International Journal of Machine Learning and Cybernetics, 2020: 1-12.

10. *Zhong H, Xiao C, Tu C, et al.* **How Does NLP Benefit Legal System: A Summary of Legal Artificial Intelligence**[J]. arXiv preprint arXiv:2004.12158, 2020.



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## Competition ##



- **让AI当法官(BDCI2017)**, 2017年， 举办单位（明略数据 & 中国计算机学会）[[Detail](https://www.datafountain.cn/competitions/277/details)]  

- **"中国法研杯" ---- 司法人工智能挑战赛(CAIL2018)**，2018年，举办单位（中国司法大数据研究院、中国中文信息学会、中电科系统团委联合清华大学、清华大学、北京大学、中国科学院软件研究所）[[Detail](http://cail.cipsc.org.cn/)] [[Blog-1](https://bamtercelboo.github.io/2018/10/17/AI_Law/)] [[Blog-2](http://www.52nlp.cn/%e5%a6%82%e4%bd%95%e7%94%a8%e6%b7%b1%e5%ba%a6%e5%ad%a6%e4%b9%a0%e5%81%9a%e5%a5%bd%e9%95%bf%e6%96%87%e6%9c%ac%e5%88%86%e7%b1%bb%e4%b8%8e%e6%b3%95%e5%be%8b%e6%96%87%e4%b9%a6%e6%99%ba%e8%83%bd%e5%8c%96)]  

- **"中国法研杯" ---- 司法人工智能挑战赛(CAIL2019)**，2019年

- **"中国法研杯" ---- 司法人工智能挑战赛(CAIL2020)**，2020年



----------



## Online System ##

- **法信(智答版)**, 人民法院出版集团、中国司法大数据研究院和北京国双科技有限公司， ---> [[法信(智答版)](http://www.lawiask.com/#/)] 



- **觅律搜索**, 北京幂律智能科技有限责任公司， ---> [[觅律so.legal](https://solegal.cn/)]  



- **度小法---法律智库**, 百度， ---> [[度小法](https://duxiaofa.baidu.com/)]  



- **北大法宝**, 北京北大英华科技有限公司、北京大学法制信息中心， ---> [[北大法宝](http://www.pkulaw.cn/)]  



- **法律智能判决系统**, 黑龙江大学自然语言处理实验室， ---> [[法律智能判决系统](http://47.95.219.130/)] 



- **法小飞**, 哈工大讯飞联合实验室， ---> [法小飞-微信公众号] 



-  **秘塔翻译及智能检索**, 秘塔科技， ---> [[秘塔翻译及智能检索](https://metaso.cn)] 



-  **包小黑法律咨询**, 杭州实在智能科技有限公司， ---> [[包小黑法律咨询](https://110.ai-indeed.com/)]