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  6. Eraldo Luis Rezende Fernandes
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Eraldo Luis Rezende Fernandes

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Eraldo Luis Rezende Fernandes

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Dr. Eraldo Luis Rezende Fernandes

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    1. 2014

    2. Latent trees for coreference resolution

      Fernandes, E. R., dos Santos, C. N. & Milidiú, R. L., 19.12.2014, In: Computational Linguistics. 40, 4, p. 801-835 35 p.

      Research output: Journal contributions › Journal articles › Research › peer-review

    3. 2016
    4. Published

      Using Wikipedia for Cross-Language Named Entity Recognition

      Fernandes, E. R., Brefeld, U., Blanco, R. & Atserias, J., 2016, Big Data Analytics in the Social and Ubiquitous Context: 5th International Workshop on Modeling Social Media, MSM 2014, 5th International Workshop on Mining Ubiquitous and Social Environments, MUSE 2014, and First International Workshop on Machine Learning for Urban Sensor Data, SenseML 2014, Revised Selected Papers. Atzmüller, M., Chin, A., Janssen, F., Schweizer, I. & Trattner, C. (eds.). Springer International Publishing AG, p. 1-25 25 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9546).

      Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

    5. 2017

    6. How difficult is the adaptation of POS taggers?

      Rodrigues, I. M. & Fernandes, E. R., 28.06.2017, BRACIS 2017: 2017 Brazilian Conference on Intelligent Systems : Uberlândia, MG, Brazil, 2-5 October 2017 : proceedings. Piscataway: Institute of Electrical and Electronics Engineers Inc., p. 360-365 6 p.

      Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

    7. Domain adaptation of POS taggers without handcrafted features

      Rodrigues, I. M., Fernandes, E. R. & dos Santos, C. N., 30.06.2017, IJCNN 2017: the International Joint Conference on Neural Networks. Piscataway: Institute of Electrical and Electronics Engineers Inc., p. 3331-3338 8 p. 7966274. (Proceedings of the International Joint Conference on Neural Networks; vol. 2017).

      Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

    8. 2019

    9. FaQuAD: Reading comprehension dataset in the domain of brazilian higher education

      Sayama, H. F., Araujo, A. V. & Fernandes, E. R., 10.2019, 2019 Brazilian Conference on Intelligent Systems: BRACIS 2019 : 15-18 October 2019, Salvador, Bahia, Brazil : proceedings. Piscataway: Institute of Electrical and Electronics Engineers Inc., p. 443-448 6 p. 8923668. (Proceedings - Brazilian Conference on Intelligent Systems; no. 8).

      Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

    10. BERT for stock market sentiment analysis

      Sousa, M. G., Sakiyama, K., Rodrigues, L. D. S., Moraes, P. H., Fernandes, E. & Matsubara, E. T., 11.2019, IEEE 31st International Conference on Tools with Artificial Intelligence: ICTAI 2019 : proceedings : 4-6 November 2019, Portland, Oregon. Piscataway: IEEE - Institute of Electrical and Electronics Engineers Inc., p. 1589-1593 5 p. ( International Conference on Tools with Artificial Intelligence, ICTAI).

      Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

    11. 2020

    12. A Study on the Impact of Intradomain Finetuning of Deep Language Models for Legal Named Entity Recognition in Portuguese

      Bonifacio, L. H., Vilela, P. A., Lobato, G. R. & Fernandes, E. R., 2020, Intelligent Systems: 9th Brazilian Conference, BRACIS 2020, Rio Grande, Brazil, October 20–23, 2020, Proceedings, Part I. Cerri, R. & Prati, R. C. (eds.). Cham: Springer Nature Switzerland AG, p. 648-662 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12319 LNAI).

      Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

    13. TextCSN: A semi-supervised approach for text clustering using pairwise constraints and convolutional siamese network

      Vilhagra, L. A., Fernandes, E. R. & Nogueira, B. M., 30.03.2020, The 35th Annual ACM Symposium on Applied Computing: Brno, Czech Republic, March 30 - April 3, 2020. New York: Association for Computing Machinery, Inc, p. 1135-1142 8 p.

      Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

    14. A Soft Alignment Model for Bug Deduplication

      Rodrigues, I. M., Aloise, D., Fernandes, E. R. & Dagenais, M., 29.06.2020, 2020 IEEE/ACM 17th International Conference on Mining Software Repositories: MSR 2020, Proceedings; Seoul, Republic of Korea 29-30 June 2020. New York: Association for Computing Machinery, Inc, p. 43-53 11 p.

      Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

    15. 2021

    16. Rhetorical Role Identification for Portuguese Legal Documents

      Aragy, R., Fernandes, E. R. & Caceres, E. N., 2021, Intelligent Systems: 10th Brazilian Conference, BRACIS 2021, Virtual Event, November 29 – December 3, 2021, Proceedings, Part II. Britto, A. & Valdivia Delgado, K. (eds.). Cham: Springer Schweiz, p. 557-571 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13074 LNAI).

      Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

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