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SIMBIG-ANLP 2023 : SIMBIG 2023 - Track on Applied Natural Language Processing (ANLP) | |||||||||||||||
Link: https://simbig.org/SIMBig2023/en/anlp.html | |||||||||||||||
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Call For Papers | |||||||||||||||
CFP: Special Track on Applied Natural Language Processing (ANLP) - SIMBig 2023
Special Track on Applied Natural Language Processing (ANLP) 10th International Conference on Information Management and Big Data (SIMBig 2023) Monterrey, MEXICO DF, 30 AUG - 01 SEP 2023 https://simbig.org/SIMBig2023/en/anlp.html )))) Deadline for paper submissions: June 24, 2023 ((( SIMBig (10th International Conference on Information Management and Big Data) has become an important meeting point of computer scientists, computer engineers, software engineers, and application developers from around the world. The Applied Natural Language Processing (ANLP) track of SIMBig will provide a forum that brings both researchers and practitioners to discuss: research trends and techniques related to Natural Language Processing. IMPORTANT DATES June 24, 2023 - Papers submission deadline July 28, 2023 - Notification of acceptance August 11, 2023 - Camera-ready versions August 30 - September 01, 2023 - Conference held in Mexico DC - Mexico SUBMISSION DETAILS Long Papers are limited to 13-16 pages including all content and references; Short Papers are limited to 7-12 pages including all content and references; All submissions must be in English; Submissions are double-blind. Therefore, authors need to ensure that their manuscripts are prepared in a way that does not reveal their identity. Follow this instruction to avoid an automatic rejection of the submission. All submitted papers will be reviewed by at least two experts in the field. All accepted papers of SIMBig 2023 will be published with Springer CCIS Series. Best papers will be selected to submit an extension to be published in the Springer SN ComputerScience Journal. Paper submission system and templates: https://simbig.org/SIMBig2023/en/anlp.html TOPICS OF INTEREST The topics suitable for ANLP include, but not limited to: Machine Translation Sentiment Analysis/Opinion Mining Automatic Summarization Plagiarism Detection Language Detection Natural Language Generation Natural Language Interfaces Natural Language Processing in Informal Texts Question-Answering Systems Content Analysis Natural Language Processing for Low-Resource Languages Bio-NLP Dialogue Systems Information Retrieval and Extraction Event Detection Text Classification and Clustering NLP techniques for Internet of Things Multilingual NLP Ontology-based NLP ORGANIZERS Lilian Berton (Federal University of São Paulo) Pedro Shiguihara (Universidad San Ignacio de Loyola) Ricardo Marcacini (University of São Paulo) |
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