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Publication date: 1 de June, 2021TEMA07 Workshop on Text Mining and Applications, EPIA07
Pure symbolic methods for Language Processing alone are unable to address human languages complexity. Text Mining and Machine Learning techniques applied to text, raw or annotated, brought up new insights and completely shifted the approaches to Human Language Technologies. Both approaches, when duly integrated, bridge the gap between language theories and effective use of languages, and enable important applications. Our aim, with this workshop, is to bring together innovative contributions to fill in this gap. Authors are invited to submit their papers on any of the issues identified below. Papers will be blindly reviewed by three members of the Programme Committee. Best papers will be published at Springer, in LNAI series. If there are additional papers whose quality is sufficiently high for deserving to be presented at TEMA07, those other accepted papers will be published in the workshop proceedings. Topics of Interest: Text Mining from raw and/or annotated text: – Pattern extraction methodologies. – Document Clustering/Classification. – Document Summarization. – Topic segmentation of documents. – Word and Multi-word Sense Disambiguation. – Semantic Restrictions extraction. – Word and multi-word translation extraction. – Algorithms and Data Structures for Text Mining. Applications: – Natural Language Processing. – Example-Based/Statistical Machine Translation. – Intelligent Information Retrieval. – Multilingual access to multilingual information. – Question-Answering Systems. – E-training and E-learning. Published in: José Neves, Manuel Filipe Santos and José Manuel Machado (eds.) Progress in Artificial Intelligence, 13th Portuguese Conference on Artificial Intelligence, EPIA 2007, Workshops: GAIW, AIASTS, ALEA, AMITA, BAOSW, BI, CMBSB, IROBOT, MASTA, STCS, and TEMA, Guimarães, Portugal, December 2007, Proceedings. pp.647-702, LNAI Series,Vol. 4874, Springer Verlag and in José Neves, Manuel Filipe Santos and José Manuel Machado (eds.). New Trends in Artificial Intelligence. APPIA – Associação Portuguesa para a Inteligência Artificial. ISBN-13 978-989-95618-0-9. 2007. pp. 666-882.
Startdate | 04/12/2007 |
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Enddate | 05/12/2007 |
URL | http://epia2007.appia.pt/ |