Special issue of the TAL journal: Scholarly Document Processing https://tal-65-2.sciencesconf.org/
** Deadline for submission: March, 15th 2024 ** ** Guest Editors ** Florian Boudin, JFLI/LS2N, Nantes University Akiko Aizawa, National Institute of Informatics ** Context ** The body of scholarly literature is steadily and rapidly expanding. In arXiv alone, the number of scientific articles submitted in 2022 exceeded 185,000, averaging nearly 500 submissions per day. In the face of this exponential growth, researchers and institutions are continually challenged to keep pace with the sheer volume of new knowledge being created. Automated methods for analyzing and interpreting scientific papers are therefore urgently needed to assist researchers in navigating through the expanding volume of scientific information, enabling more efficient and targeted acquisition of new knowledge across various fields. More precisely, the development of methods capable of extracting reliable, valuable and verifiable information from scientific papers is crucial for many downstream tasks including retrieval, recommendation, summarization, question-answering and document understanding. The uniqueness of scientific papers, marked by intricate technical language, discipline-specific terminology, a distinct structural organization and the inclusion of complex elements such as equations, tables, and figures, poses a significant challenge for existing natural language processing and information retrieval methods. Furthermore, these methods should also account for additional features provided at the collection level (e.g., citation networks) or embedded in rich paper metadata (e.g., authors, keywords, publication venues), each introducing its own set of challenges. This special issue of the TAL journal is dedicated to papers describing work that address these challenges, and more broadly to papers describing research on *natural language processing and information retrieval of scholarly and scientific documents*. Relevant topics for this issue include, but are not limited to, the following areas (in alphabetical order): - Bibliometrics, scientometrics - Citation analysis and recommendation - Claim verification - Datasets, tools and resources - Information extraction, NER - Large Language Models (LLMs) - Plagiarism detection - Question-answering - Retrieval and recommendation - Scientific document analysis - Scientific writing assistance - Text simplification - Summarization and generation ** Important dates ** • Submission deadline: 15 March 2024 • Notification to the authors after first review: May 2024 • Notification to the authors after second review: September 2024 • Publication : December 2024 ** Submission format ** The length of the papers must be between 20 and 25 pages. Style sheets are available on the journal's website ([https://www.atala.org/content/instruction-authors-style-files-0](https://www.atala.org/content/instruction-authors-style-files-0)). Authors are invited to submit their paper on this platform: [https://tal-65-2.sciencesconf.org/](https://tal-65-2.sciencesconf.org/) To do so, authors will need to first create an account by clicking on "Create account" (Créer un compte) next to the “Login" (Connexion) button at the top of this page. To submit a paper, authors can connect to their account and upload their submission in "My Space" > "My submissions”. The articles can be written in English or in French. The TAL journal has a double-blind review process. It is necessary to anonymize the article, the name of the file, and to avoid self-references. Each article is evaluated by three reviewers, two external reviewers and a member of the editorial board of the journal TAL. ** TAL Journal ** TAL (Traitement Automatique des Langues / Natural Language Processing) is an international journal published by ATALA (French Association for Natural Language Processing, [http://www.atala.org](http://www.atala.org)) since 1959 with the support of CNRS (National Centre for Scientific Research). It has moved to an electronic mode of publication, with printing on demand. The TAL journal is open-access. Paper submission, publication and access are free of charge. Papers published in the TAL journal will be made available on the ATALA website and on ACL Anthology. _______________________________________________ Corpora mailing list -- [email protected] https://list.elra.info/mailman3/postorius/lists/corpora.list.elra.info/ To unsubscribe send an email to [email protected]
