A Semantic Search System for the Supremo Tribunal de Justiça

Author:

Melo RuiORCID,Santos Pedro A.ORCID,Dias JoãoORCID

Publisher

Springer Nature Switzerland

Reference23 articles.

1. Boos, R., Prestes, K., Villavicencio, A., Padró, M.: brWaC: A WaCky Corpus for Brazilian Portuguese. In: Baptista, J., Mamede, N., Candeias, S., Paraboni, I., Pardo, T.A.S., Volpe Nunes, M.d.G. (eds.) Computational Processing of the Portuguese Language, pp. 201–206. Springer International Publishing, Cham (2014)

2. Choi, J., Jung, E., Suh, J., Rhee, W.: Improving bi-encoder document ranking models with two rankers and multi-teacher distillation. In: SIGIR ’21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 2192–2196. ACM, Canada (2021)

3. Cordeiro, N.: NLP Applied To Portuguese Consumer Law. Master’s thesis, Instituto Superior Técnico, Universidade de Lisboa (2022)

4. Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: BERT: Pre-training of deep bidirectional transformers for language understanding. In: Proceedings of the 2019 Conference of the North American Chapter of the ACL: Human Language Technologies, vol. 1, pp. 4171–4186. ACL, Minneapolis, Minnesota (2019)

5. Fonseca, E., Santos, L., Criscuolo, M., Aluisio, S.: ASSIN: Avaliacao de similaridade semantica e inferencia textual. In: Computational Processing of the Portuguese Language-12th International Conference, pp. 13–15. Tomar, Portugal (2016)

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