Special Track

Track on Applied Natural Language Processing (ANLP)

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 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 13-16 pages, including all content and references, and must be in PDF formatted with the Springer publication format.
Short Papers
Short Papers are limited to 7-12 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. Optionally, an overleaf template is available here.
  • Please, note that ANLP submission is 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.
  • Papers accepted for publication: the camera-ready version of your paper must be submitted only using Latex format. This is to ensure proper insertion of the manuscript in proceedings. Failure to follow this instruction will result in disregard of submission.

Submissions Website

Submissions for ANLP must be performed strictly via the EasyChair: https://easychair.org/my/conference?conf=anlp2023.

Program Committee

  • Evelin Amorim, Institute for Systems and Computer Engineering, Technology and Science, Portugal;
  • Nils Murrugarra-Llerena, University of Weber, United States of America;
  • Efstathios Stamatatos, University of the Aegean, Greece;
  • Dennis Núñez-Fernández, Université Paris Cité, France;
  • Thiago Paulo, University of Brasilia (UnB), Brazil;
  • Marcio Basgalupp, Federal University of São Paulo (UNIFESP), Brazil;
  • Juan Gutierrez, Universidad de Lima, Peru;
  • Luis Pereira, Federal University of São Paulo (UNIFESP), Brazil;
  • Honorio Apaza, Universidad Nacional de Moquegua, Peru;
  • Diego Amancio, University of São Paulo (USP), Brazil;
  • Hugo Calderón-Vilca, Universidad Nacional Mayor de San Marcos, Peru;


Lilian Berton

Lilian Berton

PhD in Computer Science

Federal University of São Paulo

São José dos Campos, SP, Brazil

Pedro Shiguihara

Pedro Shiguihara

MSc in Computer Science

Universidad San Ignacio de Loyola

Lima, Peru.

Ricardo Marcacini

Ricardo Marcacini

PhD in Computer Science

University of São Paulo

São Paulo, Brazil