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Track on Applied Natural Language Processing

Call for Papers

The availability and size of textual information have grown dramatically in different areas such as academic, work or individual. Emails, working papers, scientific articles or social media publications are some examples of large sources of data that are presented in natural language. This raises a challenge, since the language presents a type of unstructured data that contains ambiguity, among other properties that increase the difficulty in the processing task. In this context, there is a growing interest in improving the accessibility to information and its exploitation in different environments by companies and organizations. For all this, the applications of Natural Language Processing have become very important today. SIMBig 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.

Scope and Topics

We plan to include all the important topics related to applied natural language processing within ANLP. 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 Education.
  • 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.
Long Papers
Long Papers are limited to a total of 14 (fourteen) pages, including all content and references, and must be in PDF formatted with the Springer publication format.
Short Papers
Short Papers are limited to a total of 7 (seven) pages, including all content and references, and must be in PDF formatted with the Springer publication format.
Demonstration Papers are limited to a total of 7 (seven) pages, including all content and references, and must be in PDF formatted with the Springer publication format.
Paper Submission Guidelines
  • All research submissions must be in English.
  • Submissions must be in PDF, formatted with the Springer Publications format. For details on the Springer style, see here.
CMT Submissions Website

Paper registration is required, allowing the inclusion of the paper in the conference proceedings. At least one author of each accepted paper MUST present the paper. Paper registration and submissions to ANLP will be handled using the CMT system. The address to paper registration is here.


Marco Antonio
Sobrevilla Cabezudo

PhD Student in Computer Science

Dept. of Computer Science, ICMC

University of São Paulo,


Félix Arturo
Oncevay Marcos

Master in Informatics

Department of Informatics

Pontifical Catholic University of Perú


Fermín Pérez

Electronic Engineer

Universidad Nacional Mayor de San Marcos


Program Committee
  • Thiago Alexandre Salgueiro Pardo, University of São Paulo, Brazil
  • Nathan Siegle Hartmman, University of São Paulo, Brazil
  • Leandro Borges dos Santos, University of São Paulo, Brazil
  • Fernando Emilio Alva Manchego, University of Sheffield, UK
  • Paula Christina Figueira Cardoso, Federal University of Lavras, Brazil
  • Márcio de Souza Dias , Federal University of Goiás, Brazil
  • Fernando Antônio Asevedo Nóbrega, University of São Paulo, Brazil
  • Roque Enrique López Condori, Institute for Research in Computer Science and Automation, France
  • Francis M. Tyers, UiT Norgga árktalaš universitehta, Norway
  • Shay Cohen, University of Edinburgh, UK
  • Shashi Narayan, University of Edinburgh, UK