35th International Conference of the SEPLN

Introduction

The 35th Edition of the International Conference of the Spanish Society for Natural Language Processing (SEPLN) will take place in Bilbao on 24-27 September 2019.

The huge amount of information available in digital format and in different languages calls for systems to enable us to access this vast library in an increasingly more structured way. In this same area, there is a renewed interest in improving the information accessibility and information exploitation in multilingual environments. Most of the formal foundations for dealing appropriately with these necessities have been, and are still being, established in the area of Natural Language Processing and its many branches: Information extraction and retrieval, Questions answering systems, Machine translation, Automatic analysis of textual content, Text summarization, Text generation, and Speech recognition and synthesis.

The aim of the conference is to provide a forum for discussion and communication where the latest research work and developments in the field of Natural Language Processing (NLP) can be presented by scientific and business communities. The conference also aims at exposing new possibilities of real applications and R&D projects in this field.

Moreover, as in previous editions, there is the intention of identifying future guidelines or paths for basic research and foreseen software applications, in order to compare them against the market needs. Finally, the conference intends to be an appropriate forum in helping new professionals to become active members in this field.

This year we will organize a Doctoral Symposium. It will provide doctoral students investigating topics in natural language processing with a unique opportunity to have interaction with other researchers and receive feedback regarding their proposed research.

Topics

Researchers and companies are encouraged to send communications, project abstracts or demonstrations related to any language technology topic including but not limited to the following:

• Linguistic, mathematic and psycholinguistic models of language.
• Machine learning in NLP.
• Computational lexicography and terminology.
• Corpus linguistics.
• Development of linguistic resources and tools.
• Grammars and formalisms for morphological and syntactic analysis.
• Semantics, pragmatics and discourse.
• Lexical ambiguity resolution.
• Monolingual and multilingual text generation.
• Machine translation.
• Speech synthesis and recognition.
• Dialogue systems.
• Audio indexing.
• Monolingual and multilingual information extraction and retrieval.
• Question answering systems.
• Evaluation of NLP systems.
• Automatic textual content analysis.
• Sentiment analysis and opinion mining.
• Plagiarism detection.
• Negation and speculation processing.
• Text mining in blogosphere and social networks.
• Text summarization.
• Image retrieval.
• NLP in biomedical domain.
• NLP-based generation of teaching resources.
• NLP for languages with limited resources.
• NLP industrial applications.