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Publication date: 1 de June, 2021TEMA – 5th Text Mining and Applications
Human languages are complex by nature and efforts in pure symbolic approaches alone have been unable to provide fully satisfying results. Text Mining and Machine Learning techniques applied to texts, raw or annotated, brought up new insights and completely shifted the approaches to Human Language Technologies. Both approaches, symbolic and statistically based, when duly integrated, have shown capabilities to bridge the gap between language theories and effective use of languages, and can enable important applications in real-world heterogeneous environment such as the Web.
The 4th Track of Text Mining and Applications (TeMA13) is a forum for researchers working in Human Language Technologies i.e. Natural Language Processing (NLP), Computational Linguistics (CL), Natural Language Engineering (NLE), Text Mining (TM) and related areas.
Startdate | 09/09/2013 |
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Enddate | 12/09/2013 |
URL | http://www.epia2013.uac.pt/?page_id=629 |