34.3345, Calls: Computational Linguistics / SEPLN (Sociedad Española de Procesamiento del Lenguaje Natural) (Jrnl)

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LINGUIST List: Vol-34-3345. Wed Nov 08 2023. ISSN: 1069 - 4875.

Subject: 34.3345, Calls: Computational Linguistics / SEPLN (Sociedad Española de Procesamiento del Lenguaje Natural) (Jrnl)

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Date: 07-Nov-2023
From: Aitziber  Atutxa [aitziber.atucha at ehu.eus]
Subject: Computational Linguistics / SEPLN (Sociedad Española de Procesamiento del Lenguaje Natural) (Jrnl)


Call for Papers:

Please consider contributing and/or forwarding to appropriate
colleagues and groups.

*******We apologize for the multiple copies of this e-mail******

Call for papers for the issue 72 of the journal Procesamiento del
Lenguaje Natural

http://www.sepln.org/en/journal
http://www.sepln.org/en/journal/author-guidelines

Introduction

The aim of the journal Procesamiento del Lenguaje Natural is to
provide a forum for the publication of scientific-technical articles
in the field of Natural Language Processing (NLP), for both the
national and international scientific community. The articles must be
unpublished and cannot be simultaneously submitted for publication in
other journals or conference proceedings. The journal also aims to
promote the development of areas related to NLP, disseminate research
carried out, identify future guidelines for basic research, and
present software applications in this field. Every year the Sociedad
Española de Procesamiento del Lenguaje Natural (SEPLN) (Spanish
Society for the Natural Language Processing) publishes two issues of
the journal, including original articles, presentations of R&D
projects, book reviews and summaries of PhD theses.

For information about the quality of the journal see
http://www.sepln.org/en/journal/quality.

Topics

    Linguistic, mathematical 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

    Word sense disambiguation

    Monolingual and multilingual text generation

    Machine translation

    Knowledge and common sense

    Multimodality

    Speech synthesis and recognition

    Dialogue systems and interactive systems/ Conversational
assistants

    Audio indexing and retrieval

    Monolingual and multilingual information extraction and retrieval

    Question answering systems

    Evaluation of NLP systems

    Automatic textual content analysis

    Sentiment analysis, opinion mining and argument mining

    Plagiarism detection

    Negation and speculation processing

    Text mining in blogosphere and social networks

    Text summarization

    Text simplification

    Image retrieval

    NLP in biomedical domain

    NLP-based generation of teaching resources

    NLP for languages with limited resources

    NLP industrial applications

    Low-resource NLP tasks, data augmentation



Submission Information



The proposal must be submitted by December 1st, 2023 and must meet
certain format and style requirements.


All submissions must be in PDF format and submitted electronically
using the Myreview system available at:
http://myreview.sepln.org/myreview-sepln72



Submitted papers will be subjected to a blind review by at least three
members of the program committee.



Categories of papers

    Regular papers with original contributions.

    Summary of PhD thesis.



Information for Authors


The proposals can be written in Spanish or English and should be at
most 10 A4-size pages of content, plus unlimited pages for references,
and 4 pages maximum for summaries of PhD theses.

Author guidelines can be found at
http://www.sepln.org/index.php/en/journal/author-guidelines

 Important dates

    Submission deadline:         1 December 2023

    Notification of acceptance: 5 February 2024

    Camera ready:                   12 February 2024

    Publication:                        March 2024



Contact person: aitziber.atucha at ehu.eus



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