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[Call for Papers] 1st Workshop on Reliable Evaluation of LLMs for Factual Information (REAL-Info)
by Bjorn Ross 13 Mar '24

13 Mar '24

Call for Papers 1st Workshop on Reliable Evaluation of LLMs for Factual Information (REAL-Info) Co-located with ICWSM 2024, June 3, 2024, Buffalo, NY https://sites.google.com/view/real-info-2024 LLMs have achieved state-of-the-art performance in several textual inference tasks and are gaining popularity. There is a significant focus on their integration with web and online applications, including web search, thus allowing them to reach millions of users. LLMs can influence various information tasks in our everyday lives, ranging from personal content creation to education, financial advice, and mental health support (Augenstein, 2023). However, with their vast linguistic capabilities and opaque nature, LLMs can inadvertently generate or amplify false information. There is growing concern about the factuality of LLM-generated content and its potential adverse impact on our information ecosystem (Chen, 2023; Peskoff, 2023). Thus the need for reliable methods to assess the factuality of information is more critical than ever. This is where the synergy of AI, Natural Language Processing (NLP), and Human-Computer Interaction (HCI) becomes essential. AI and NLP techniques can be employed to analyze and identify the factuality of information through various tasks (Augenstein, 2023), such as fact-checking, stance detection, claim verification, and misinformation detection. These techniques can sift through the vast amounts of data to spot inconsistencies, biases, or inaccuracies that could indicate misinformation. Still, these approaches often use language models themselves, and epistemological questions arise when one LLM is fact-checked using another (or itself). Meanwhile, HCI plays a vital role in designing interactions and tools that enable humans to effectively oversee, interpret, and correct the outputs of LLMs. This human-in-the-loop approach ensures a critical evaluation and context-sensitive understanding of the factuality of information, which pure algorithmic methods might overlook. The combination of NLP's analytical capabilities and HCI's focus on human-centric design is instrumental in creating a digital ecosystem where LLMs can be utilized safely and responsibly, minimizing the risks of false information while maximizing their potential for user-centric applications. The goals of the 1st ICWSM workshop Reliable Evaluation of LLMs for Factual Information (REAL-Info) are to facilitate discussion around such new LLM evaluation approaches, metrics, and benchmarks for factuality assessment tasks within the community, to inform the scope, biases, and blindspots of LLMs. It will spark interdisciplinary conversations from academic and industry researchers in computational social sciences (CSS), natural language processing (NLP), human-computer interaction (HCI), data science, and social computing. The workshop will solicit, research, and position papers with novel ideas, including but not limited to: - New evaluation methods and metrics for evaluating LLM’s factuality considering diverse social context, e.g., source and domain of data, language, temporal generalization of information, or hallucination in generated/summarized content. - Human-centered design approaches to aid LLMs in detecting and mitigating false information, e.g., human experts in the loop, and variation in prompting. - New LLM-powered tools, methods, and applications for improving factuality assessment in social computing and computational social science. - Biases and blindspots of LLMs in factuality assessment, including approaches for error analysis and model diagnostics. - Limitations of existing benchmarks for tasks relevant to factuality assessment, e.g., claim verification, fact-checking, stance detection, and misinformation detection. - Improve datasets and evaluation quality, e.g., avoidance of selection bias, addressing subjective judgments and biases in crowd-sourced annotation. - Comparative evaluation and implications of open source and commercial LLMs for tasks relevant to factuality assessment. - How does the reliability and factuality of LLM impact users (e.g. journalists, software engineers, artists..) and communities? Submission instructions can be found on the workshop website. The workshop will take place as a half-day meeting in June. Authors of accepted papers will have the opportunity to publish their papers through workshop proceedings by the AAAI Press. Timeline - Workshop Papers Submission deadline: March 24, 2024 - Notifications: April 14, 2024 - Final Camera-Ready Paper Due: May 5, 2024 - ICWSM-2024 Workshops Day: June 3, 2024 The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. Is e buidheann carthannais a th’ ann an Oilthigh Dhùn Èideann, clàraichte an Alba, àireamh clàraidh SC005336.

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Invitation to the debate "Artificial Intelligence and the future of the Portuguese Language" on March 15 at PROPOR 2024
by Antonio Branco 13 Mar '24

13 Mar '24

_*INVITATION*_ We kindly invite you to the debate on *Artificial Intelligence and the Future of the Portuguese Language* which will take place on March 15, 2024, from 10h30 to 12h00 (Lisbon time) as part of PROPOR 2024 - 16th International Conference on the Computational Processing of the Portuguese Language. As a plenary session of this conference, it will count on the contributions from the researchers who are experts in this field gathering here. It will also include contributions from guests who are experts in the field of public policies for language promotion and who will help launch the debate: *Ana Paula Laborinho* Former President of the Camões Institute for Cooperation and Language, current Director in Portugal of the OEI Organization of Ibero-American States, and professor at the University of Lisbon, Faculty of Letters *Claudio Pinhanez* Deputy Director of the C4AI Artificial Intelligence Center in São Paulo, and principal investigator at IBM Research, Brazil *Ismael Gómez García* Director of the OEI's Global Digital Strategy *Valentín García* Secretary General for Language Policy, Galicia Regional Government *António Branco**(moderator)* Honorary President of the ELRA Language Resources Association, Director General of PORTULAN CLARIN Research Infrastructure for the Science and and Technology of Language, and Professor at the University of Lisbon, Faculty of Sciences Information about this debate can be found here https://propor2024.citius.gal/index.php/discussion-panel/ where in due course, it will be made available the way to participate. ++++++++++++++++++++++++++++++++++++++++ _*BACKGROUND*_ For about a year now, it's been a rare day when we don't come across news, comments, opinions, interviews, debates, podcasts, prognoses, plans, panics, condemnations, glorifications, warnings, regulations, fears and hopes about Artificial Intelligence. We are living the privilege, rare in human history, to find ourselves facing the unprecedented promises and challenges of a civilizational transformation induced by a technological shock of a scope never before experienced. This scientific and social tsunami has its origins in what for decades has been considered the subarea of AI with the most difficult and challenging interdisciplinarity. Also known as natural language processing, computational linguistics, computational language processing, etc., language technology deals the most distinctively human cognitive capacity. No area of human activity will be immune to this technological shock. Even less so will the very object of its scientific inquiry, natural languages. It is opportune to hold a debate on AI and the Portuguese language by the scientists themselves, and inverting the perspective of passive analysis to that of building an active contribution: What is the impact on the future of the the Portuguese language and on citizenship and sovereignty in the age of artificial intelligence? What is the impact on public policies promoting language and how should they be rethought and reconfigured? What is the impact on public policies promoting science and technology and how should their priorities be rethought and reconfigured? What is the role of international cooperation, given that the Portuguese is a multicentric language with global projection? What should we learn from the responses are being advanced in other geographies and for other languages? etc The scientific community dedicated to research into the Portuguese language technology has been meeting every other year for 30 years, alternately in Portugal and Brazil, at the PROPOR international conference, which will be held again soon, between March 13 and 15, 2024, the first time it will be held in another geopgraphy: https://propor2024.citius.gal With the help of guest speakers who are experts in the fields of language promotion and international cooperation, scientific researchers in this field will try to open up this reflection and contribute to finding answers to these questions in a debate that will take place on March 15, 2024 between 10h30 and 12h00 (Lisbon time). Information on this debate can be found here https://propor2024.citius.gal/index.php/discussion-panel/ where in due course, it will be made available the way to participate remotely, as technical conditions allow. The debate will take place in Portuguese.

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job opening: professorship (W2) in ML (possibly NLP) at HHU Düsseldorf, Germany
by Laura Kallmeyer 13 Mar '24

13 Mar '24

The Faculty of Mathematics and Natural Sciences at Heinrich Heine University Düsseldorf is inviting applications for the position of a full professorship (W2) for Machine Learning at the Department of Computer Science to be filled as soon as possible. Ideally, candidates should have an outstanding expertise in the field of Machine Learning, particularly in modern machine learning techniques (e.g., large language models and deep learning architectures such as transformers and related sequence models) and are willing to contribute to collaborative projects, especially in the field of Natural Language Processing (NLP). Application deadline 17 April 2024. For more information see https://berufungsportal.hhu.de/VAADIN/dynamic/resource/2/96c63060-a332-4561… -- Prof. Dr. Laura Kallmeyer Institut für Linguistik Heinrich-Heine Universität Duesseldorf Universitaetsstr. 1 D-40225 Duesseldorf, Germany https://user.phil.hhu.de/kallmeyer/ Phone +49 (0)211 8113899

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Call for PC Members for ECAI-2024
by Ulle Endriss 13 Mar '24

13 Mar '24

We are reaching out to the research community to ask for volunteers to join the programme committee of ECAI-2024, the 27th European Conference on Artificial Intelligence. We are looking for volunteers who have completed their PhD, who have published at good AI conferences in the past, and who have prior experience with reviewing. If you're interested, please sign up here: https://forms.gle/24AxSkGdKv57cYqSA Thanks a lot for your support! Ulle Endriss and Francisco Melo ECAI-2024 PC Chairs

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CfP: Humor and Artificial Intelligence at ISHS/HRC 2024
by Tristan Miller 12 Mar '24

12 Mar '24

Humor and Artificial Intelligence Track ======================================= 34th International Society for Humor Studies Conference (ISHS 2024) and 14th Humor Research Conference (HRC) Hosted online by Texas A&M University-Commerce, April 19 to 21, 2024 https://tamuc.edu/humor ABSTRACT SUBMISSION DEADLINE: MARCH 25, 2024 Call for papers --------------- As in previous years, the Humor and AI Special Interest Group <https://humorstudies.org/Forum/forumdisplay.php?fid=9> of the International Society for Humor Studies will hold a panel at the 34th International Society for Humor Studies Conference (ISHS 2024). This year's conference is being held concurrently with the 14th Humor Research Conference (HRC), hosted online by Texas A&M University-Commerce from April 19 to 21, 2024. We invite 20-minute presentations on AI-based technology for generating, processing, or analyzing humor, for our dedicated panel that kicks off ISHS's 2024 webinar series: <https://humorstudies.org/WebinarCenter2024.htm> Application areas include, but are not limited to: * human–computer interaction * computer-mediated communication * intelligent writing assistants * conversational agents * machine and computer-assisted translation * digital humanities * natural language processing * computer vision Abstracts of 250 words, excluding references, should be submitted by e-mail to the conveners by March 25, 2024. Conveners --------- Kiki Hempelmann, Texas A&M University-Commerce <kiki(a)tamuc.edu> Tristan Miller, University of Manitoba <Tristan.Miller(a)umanitoba.ca> Julia M. Rayz, Purdue University <jtaylor1(a)purdue.edu> -- Dr. Tristan Miller, Assistant Professor Department of Computer Science, University of Manitoba https://logological.org/ | Tel. +1 204 474 6792

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[CfP] EXTENDED Deadline! TermTrends @ MDTT24: Models and Best Practices for Terminology Representation in the Semantic Web
by Patricia Martín Chozas 12 Mar '24

12 Mar '24

*Apologies for crossposting* TermTrends24: Models and Best Practices for Terminology Representation in the Semantic Web Workshop colocated with MDTT 2024 <https://mdtt2024.dei.unipd.it/en/> Date: 26th June, 2024 Venue: Granada, Spain More info: https://termtrends.linkeddata.es/ *15 March 2024 7th April (Extended): Deadline for paper submission* *About TermTrends*TermTrends 2024, co-located with MDTT 2024 aims to provide a discussion forum on the theoretical and methodological approaches for the representation of terminological data, both at a conceptual and a linguistic level. In particular, we would like to focus on their connection to the Linguistic Linked (Open) Data (LLOD) paradigm through the representation of these data according to Semantic Web formats. By adopting models or vocabularies proposed for the representation of linguistic data, we would contribute to the creation of interoperable and reusable terminological resources. With this objective, the workshop intends to explore the advantages and challenges underlying various Terminology-related standardisation approaches, ranging from the initially proposed standards to represent terminology within the International Standardisation Organisation (ISO), such as the TermBase eXchange (TBX) format, to models that represent linguistic descriptions associated with ontologies in the Semantic Web, such as SKOS and Ontolex-lemon. Being multidisciplinary in scope, it focuses on identifying terminological representation needs, as well as limitations of current models in addressing such needs, with the aim of also exploring the development of an extension of the Ontolex-lemon vocabulary and how that may contribute to overcoming such challenges. *Call for Papers*The topics of interest for this workshop include, but are not limited to, the following topics: - Terminology Representation Standards - Terminology as Linguistic Linked (Open) Data - Interoperability of Terminological Resources - Reusability of Terminological Resources - Challenges in Terminology Representation - Analysis of the structure of Terminological Resources *Submissions* Papers proposals should follow the CEUR template. Short and long papers will be accepted. Following CEUR guidelines, short papers should be 5-6 pages long and long papers 8-10 pages long. Authors must submit their papers through the EasyChair platform following this link. *Important Dates*15 March 2024* 7th April (Extended) *- Deadline for paper submission *20 April 2024* - Deadline for notification for paper submission *15 May 2024* - Deadline for camera-ready paper submission *26 June 2024 *- TermTrends Workshop *Workshop Organisers* Rute Costa, NOVA FCSH / NOVA CLUNL (Portugal) Elena Montiel-Ponsoda, Universidad Politécnica de Madrid (Spain) Sara Carvalho, Univ. de Aveiro / NOVA CLUNL (Portugal) Patricia Martín-Chozas, Universidad Politécnica de Madrid (Spain) Federica Vezzani, University of Padova (Italy) *Patricia Martín Chozas - Postdoctoral Researcher* * Ontology Engineering Group* Artificial Intelligence Department ETSI Informáticos - Universidad Politécnica de Madrid Phone: (+34) 910673091

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A postdoc position in NLP at the University of Tartu, Estonia
by Kairit Sirts 12 Mar '24

12 Mar '24

Dear all, Applications are invited for a postdoctoral fellowship with the TartuNLP lab in the Institute of Computer Science at the University of Tartu. The funding for the position is provided by the recently established Estonian Centre of Excellence in AI (EXAI), which gathers various research teams from several Estonian research institutions. The successful candidate will work with Kairit Sirts on AI-related projects at the interface between natural language processing (mainly using large language model technology) and psychology with the goal of developing chatbots for supporting mental health. The candidate will also participate with their NLP expertise in collaborative projects with other teams that are part of the EXAI. The suitable candidate has a PhD in natural language processing, artificial intelligence, computer science, or other relevant discipline. They should have a good research and publication track record in NLP. Interest in psychology or mental health related topics is a bonus. Employer: Institute of Computer Science, University of Tartu Title: Researcher in natural language processing Speciality: Natural language processing Location: Tartu, Estonia Deadline: 1 April, 2024 More info about the job offer, application process and the requirements: https://ut.ee/en/job-offer/research-fellow-natural-language-processing-0 All questions related to the position should be sent to me (kairit.sirts(a)ut.ee). Best regards Kairit Sirts

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[CIIAM] Postdoc on Contextual Information Inference for Argument Mining
by Anaïs Ollagnier 12 Mar '24

12 Mar '24

*Bonjour,*** ** * (english announcement follows) Dans le cadre du projet CIIAM (Contextual Information Inference for Argument Mining) financé par l’Académie d’Excellence Réseaux, Information et Société Numérique, visant à renforcer la robustesse des techniques de fouille d'arguments par la synthétisation d’informations contextuelles relevant des aspects multimodaux de la communication. Nous invitons les doctorant(e)s en fin de thèse et les jeunes docteur(e)s à candidater à un postdoctorat sur "l'Amélioration de la fouille d’argument par la synthétisation d’information contextuelle" (12 mois). -------- Contexte -------- Parvenir à appréhender les structures argumentatives dans les entrées en langage naturel constitue une étape clé pour de nombreuses tâches relevant du domaine du Traitement Automatique des Langues (TAL), telles que le résumé automatique ou l'analyse de débats politiques. Bien que des progrès significatifs aient été réalisés grâce à l'avènement des modèles de langue pré-entraînés, ils ne saisissent pas toujours l'ensemble des connaissances linguistiques nécessaires pour une compréhension contextuelle fine et l'établissement d'inférences pertinentes. Face à ces limitations, notre projet vise à explorer l'inclusion de la dimension d'analyse linguistique liée à la pragmatique. Cette approche se veut particulièrement novatrice, car la pragmatique, en raison de sa complexité à être formalisée, est très peu étudiée d'un point de vue computationnel. C’est à travers l'utilisation des dernières techniques de pointe en matière de "prompting" que nous souhaitons pallier les écueils des méthodes existantes, tels que la variabilité culturelle et l’implicite. --------------- Pour candidater --------------- Sujet détaillé : https://aollagnier.github.io/publications/CIIAM%20PostDoc%20DETAILS.pdf Début du contrat : Octobre 2024, au plus tard Durée du contrat : 12 mois Les candidatures comprenant un CV scientifique, une lettre de motivation et des lettres de recommandation doivent être envoyées à Anaïs Ollagnier (ollagnier(a)i3s.unice.fr) Date limite : 14 Juin 2024 Laboratoire d'accueil : I3S, Sophia-Antipolis, France Au plaisir de vous lire. ------------------------------------------------------------------------------------------------ In the context of the CIIAM project (Contextual Information Inference for Argument Mining), funded through the France 2030 investment plan managed by the National Research Agency (ANR), as part of the Initiative of Excellence Université Côte d’Azur, aiming to enhance the robustness of argument mining techniques through the synthesis of contextual information relevant to multimodal aspects of communication. We invite doctoral candidates nearing completion of their thesis and young PhD graduates to apply for a postdoctoral position on "Improving Argument Mining through the Synthesis of Contextual Information" (12 months). -------- Context -------- Understanding argumentative structures in natural language inputs is a key step for many tasks in the field of Natural Language Processing (NLP), such as automatic summarization or analysis of political debates. Although significant progress has been made with the advent of pre-trained language models, they do not always grasp all the linguistic knowledge necessary for fine contextual understanding and the establishment of relevant inferences. Faced with these limitations, our project aims to explore the inclusion of linguistic analysis dimension related to pragmatics. This approach is particularly innovative because pragmatics, due to its complexity in formalization, has been scarcely studied from a computational perspective. It is through the use of the latest cutting-edge prompting techniques that we aim to overcome the pitfalls of existing methods, such as cultural variability and implicit knowledge. --------------- To Apply --------------- Detailed subject: https://aollagnier.github.io/publications/CIIAM%20PostDoc%20DETAILS.pdf Contract start: October 2024, at the latest Contract duration: 12 months Applications including a scientific CV, a motivation letter, and recommendation letters should be sent to Anaïs Ollagnier (ollagnier(a)i3s.unice.fr) Deadline: June 14, 2024 Hosting laboratory: I3S, Sophia-Antipolis, France * -- Anaïs OLLAGNIER Junior Fellow in AI 3IA Université Côte d'Azur (Polytech Nice) | I3S | INRIA wimmics team -------------------------------------------- Templiers 1, Bureau 414, 930 Route des Colles, BP 145 06903 Sophia Antipolis Cedex, France anais.ollagnier(a)inria.fr |https://aollagnier.github.io/

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Language Technologies and Digital Humanities Conference - JTDH 2024 (Ljubljana, Slovenia)
by Špela Arhar Holdt 12 Mar '24

12 Mar '24

The Language Technologies and Digital Humanities Conference - JTDH 2024 ( https://www.sdjt.si/wp/jtdh-2024-en/) is organized by the Slovenian Language Technologies Society, CLARIN.SI, DARIAH-SI and Centre for Language Resources and Technologies at the University of Ljubljana. This year, the conference's organizational committee is led by ZRC SAZU. The event is organized in collaboration with the Faculty of Electrical Engineering of the University of Ljubljana, which will host the event on September 19 and 20, 2024. The conference is thematically broad and aims to bring together researchers from various backgrounds and methodological frameworks. The main topics include but are not limited to: speech and other mono- and multilingual language technologies; digital linguistics: translation studies, corpus linguistics, lexicology and lexicography, standardisation; digital humanities and historical studies, ethnology, musicology, cultural heritage, archaeology, and fine arts; digital humanities in education and digital publishing. We are accepting submissions in the form of extended abstracts and full papers. We are also accepting full papers for the Student Session. Student papers can be submitted by students of all levels of university programmes and will be eligible for the best student paper award. All co-authors of student papers must be students. Submissions co-authored by students and their supervisors are welcome in the regular session. The full instructions for authors are given on the conference web page: https://www.sdjt.si/wp/jtdh-2024-en/. Two pre-conference events will be held on the 18th of September, 2024: The final stop of CLASSLA Express – a series of workshops on investigating South Slavic corpora using CLARIN.SI concordancers. A joint business meeting of the CLASSLA knowledge centre for South Slavic languages and the ReLDI Centre Belgrade. Important dates: March 1, 2024: First call for papers May 17, 2024: Deadline for abstract/paper submission July 5, 2024: Notification of acceptance August 23, 2024: Final abstract/paper submission August 23, 2024: Registration deadline September 18, 2024: Pre-conference events and workshops September 19 & 20, 2024: JTDH 2024 Conference in Ljubljana, Slovenia

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CALL FOR PAPERS: Special Issue Natural Language for Artificial Intelligence in the Era of LLMs
by Dominique Brunato 12 Mar '24

12 Mar '24

[Apologize for cross-posting] SPECIAL ISSUE: NATURAL LANGUAGE FOR ARTIFICIAL INTELLIGENCE IN THE ERA OF LLMS IJCoL - Italian Journal of Computational Linguistics, OpenEdition Journal, ISSN 2499-4553, https://www.ai-lc.it/en/journal/ [1] Manuscript Submission Deadline: 1ST JULY 2024 Latest Acceptance Deadline for all papers: 1ST OCTOBER 2024 ======================================================================== ########### GUEST EDITORS: ########### • Elisa Bassignana, IT University of Copenhagen (Denmark), https://elisabassignana.github.io/ [2] • Dominique Brunato, Institute for Computational Linguistics “A. Zampolli” (CNR-ILC) (Italy), http://www.italianlp.it/people/dominique-brunato/ [3] • Marco Polignano, University of Bari Aldo Moro (Italy), https://marcopoli.github.io/ [4] • Alan Ramponi, Fondazione Bruno Kessler (Italy), https://alanramponi.github.io/ [5] ########### SPECIAL ISSUE INFORMATION: ########### The advancement of Large Language Models (LLMs) has revolutionized the field of Natural Language Processing (NLP) and Artificial Intelligence (AI) in recent years. Transformer-based models such as GPT-3 and BERT have demonstrated remarkable capabilities in modeling and generating human-like text. These models have significantly impacted various applications, including machine translation, sentiment analysis, question answering, and more. The era of LLMs has opened up new opportunities and challenges in harnessing natural language for AI systems. The motivation behind this special issue is to provide a platform for researchers and practitioners to explore and discuss the latest advancements, methodologies, and applications of Natural Language for Artificial Intelligence in the Era of LLMs. The aim is to foster collaboration and knowledge sharing among the NLP and AI communities, enabling them to leverage LLMs effectively and ethically for solving real-world problems, as well as for tackling open research questions that contribute to a deeper understanding of the similarities and differences between human and machine learning. This special issue invites original research papers, reviews, and case studies that focus on utilizing LLMs in various natural language processing tasks and applications within the context of Artificial Intelligence. This is a natural extension of the topics covered in the NL4AI 2023 workshop at AIxIA 2023, where the primary focus of discussion among the many papers received was related to the use of LLMs to tackle many typical tasks in natural language understanding and generation. We invite researchers from both academia and industry to submit their cutting-edge research findings, unearthing novel insights and pushing the boundaries of knowledge. We hope to receive submissions not only from people attending NL4AI but also from researchers outside this ring to enrich the discourse with a broader spectrum of perspectives. ########### TOPICS: ########### Relevant topics for the proposed special issue include, but are not limited to: • Robustness and generalization of LLMs • Diversity and inclusion of LLMs • The role of linguistics in the era of LLMs • Benchmarking and evaluation of LLMs • Explainability and interpretability of LLMs through Computational Linguistics and related disciplines • Domain-specific applications of LLMs (e.g., healthcare, education, cultural heritage) • Knowledge representation and reasoning with LLMs • Machine translation and cross-lingual applications with LLMs • Applications to the Italian language and under-studied languages • Dialogue systems and conversational agents using LLms • Ethical and social implications of LLMs • Exploration of multimodality and data augmentation approaches in the era of LLMs ########### SUBMISSION INFORMATION: ########### Contributions will be processed as they are submitted no later than 1ST JULY, 2024. The latest acceptance deadline for all papers is 1ST OCTOBER, 2024. Submissions must be prepared according to the submission guidelines: • https://www.ai-lc.it/en/journal/instructions-for-authors/ [6] and must be submitted via the dedicated web page: • https://www.ai-lc.it/ijcolreview/index.php/ijcol/about/submissions • On the platform, select the menu option: “Special Issue: Natural Language for Artificial Intelligence in the Era of LLMs” The special issue will also consider extended versions (at least 30% new content) of papers published at conferences or on preprint platforms (i.e., arXiv.org). The Editors of the Journal will pre-screen all submitted articles. Articles that do not reach the scientific standards of the journal will be desk-rejected. Articles that meet the requirements will be sent to expert reviewers and will then be reviewed for publication. The peer-review procedure will involve two experts (or three, in the rare case of disagreement). IJCoL Editors avoid engaging reviewers who are close to – or have any sort of conflict of interest with – a given author. Referees may request a major or minor revision of the article. The final decision on acceptability is the Editors’ responsibility. For questions and further information, please contact the Guest Editors: Elisa Bassignana (elba(a)itu.dk), Dominique Brunato (dominique.brunato(a)ilc.cnr.it), Marco Polignano (marco.polignano(a)uniba.it), Alan Ramponi (alramponi(a)fbk.eu) More details will be provided at: https://www.ai-lc.it/en/journal/ [1] Link: ----- [1] https://www.ai-lc.it/en/journal/ [2] https://elisabassignana.github.io/ [3] http://www.italianlp.it/people/dominique-brunato/ [4] https://marcopoli.github.io/ [5] https://alanramponi.github.io/ [6] https://www.ai-lc.it/en/journal/instructions-for-authors/

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2024

2023

2022