*Aims&Scope

Natural Language Processing Research (NLPR, https://www.atlantis-press.com/journals/nlpr) is an international, peer-reviewed, open access journal covering all disciplines of computational linguistics and natural language processing. The journal provides a platform for original high-quality papers that deepen our understanding of the fundamental questions in these fields.

This special issue aims at addressing the aforementioned questions by inviting scholarlycontributions covering recent advances in NLP and IE. Papers submitted to this special issue shoulddiscuss tasks that directly tackle, or have a clear link to, the extraction of structured information from natural human language texts (either structured or unstructured). We welcome originalresearch articles reporting the development of novel methods and algorithms, as well as literaturesurvey papers summarising a key subject area.

*Main topics
-Named entity recognition and linking
-Relation extraction and classification
-Terminology extraction and classification
-Template filling (e.g., event extraction)
-Knowledge base/graph construction and alignment
-NLP/IE from semi-structured content, e.g., wrapper induction, table mining
-NLP/IE applications to problems in another subject field, e.g., Information Retrieval, Semantic Web,Social Media, information and knowledge integration
-NLP/IE applications to industry/domain specific context
-Interpretability and Analysis of Models for NLP/IE
-Machine Learning for NLP/IE
-Resources and Evaluation
-Semantics: Lexical, Sentence level, Textual Inference and Other areas
-Sentiment Analysis
-...

*Submission portal
https://www.editorialmanager.com/nlpr/default.aspx