Research output per year
Research output per year
Personal profile
Research interests
Joaquim Silva holds a PhD in Computer Science from the Universidade Nova de Lisboa (2004). His research interests are focused on Information Extraction, Text Mining and Machine Learning. He publishes regularly at scientific events on those areas and has been involved in several projects, such as ISTRION, VIP-ACCESS, PATRAS and WE-LEARN. Since 2005, he has been co-chair of TeMA, a track of the conference EPIA conference. He has been member of some conference Program Committees, such as EPIA, ICCS and MWE ACL workshop. He is an integrated member of the NOVALINCS research laboratory.
Education/Academic qualification
Computer Science, Doctorate, Extraction of Textual Units, Clustering, Characterization e Classification of Documents, Universidade NOVA de Lisboa
Award Date: 4 Feb 2004
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Collaborations and top research areas from the last five years
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How Large Corpora Sizes Influence the Distribution of Low Frequency Text n-grams
Silva, J. F. & Cunha, J. C., 25 Apr 2024, Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Proceedings. Yang, D-N., Xie, X., Tseng, V. S., Pei, J., Huang, J-W. & Lin, J. C-W. (eds.). Springer Science and Business Media Deutschland GmbH, p. 210-222 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14647 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Improving LocalMaxs Multiword Expression Statistical Extractor
Silva, J. F. & Cunha, J. C., 2023, Computational Science – ICCS 2023: 23rd International Conference, Prague, Czech Republic, July 3–5, 2023, Proceedings, Part II. Mikyška, J., de Mulatier, C., Paszynski, M., Krzhizhanovskaya, V. V., Dongarra, J. J. & Sloot, P. M. A. (eds.). Cham: Springer, p. 154-162 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14074 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Vocalization Features to Recognize Small Dolphin Species for Limited Datasets
Rosário, L., Cavaco, S., Silva, J., Freitas, L. & Verborgh, P., 2023, Progress in Artificial Intelligence: 22nd EPIA Conference on Artificial Intelligence, EPIA 2023, Faial Island, Azores, September 5–8, 2023, Proceedings, Part I. Moniz, N., Vale, Z., Cascalho, J., Silva, C. & Sebastião, R. (eds.). Cham: Springer, p. 171-183 13 p. (Lecture Notes in Computer Science; vol. 14115 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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A Model for Predicting n-gram Frequency Distribution in Large Corpora
Silva, J. F. & Cunha, J. C., 2021, Computational Science – ICCS 2021: 21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part I. Paszynski, M., Kranzlmüller, D., Krzhizhanovskaya, V. V., Dongarra, J. J. & Sloot, P. M. A. (eds.). 1st ed. Cham: Springer, Vol. 1. p. 699-706 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12742 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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An Empirical Model for n-gram Frequency Distribution in Large Corpora
Silva, J. F. & Cunha, J. C., 2020, Advances in Knowledge Discovery and Data Mining - 24th Pacific-Asia Conference, PAKDD 2020, Proceedings. Lauw, H. W., Lim, E-P., Wong, R. C-W., Ntoulas, A., Ng, S-K. & Pan, S. J. (eds.). Cham: Springer, p. 840-851 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12085 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
2 Citations (Scopus)