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31st Irish Conference on Artificial Intelligence and Cognitive Science (AICS23)
by muskaan singh 01 Sep '23

01 Sep '23

**** Call for Papers **** *31st Irish Conference on Artificial Intelligence and Cognitive Science (AICS23)* December 7th – 8th 2023 - Atlantic Technological University, Letterkenny, Co. Donegal Conference Website: https://www.aics.ie/ Submission Deadline: 24th September 2023 The 31st Irish Conference on Artificial Intelligence and Cognitive Science (AICS 2023) will be hosted by Atlantic Technological University (ATU) in collaboration with Ulster University. The conference will be held in-person at the Letterkenny campus of ATU Donegal. We are also honoured that IEEE UK and Ireland Computational Intelligence Chapter will provide technical sponsorship of the conference. Accepted papers will be submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplore’s scope and quality requirements. With regular conferences dating back to 1988, the AICS Conference is Ireland’s primary forum bringing together researchers in the fields of Artificial Intelligence and Cognitive Science. The fields of Artificial Intelligence and Cognitive Science, encompassing areas such as Data Analytics, Natural Language Processing, Information Retrieval, and Machine Learning, are now at the forefront of Irish computing research and industry. The AICS 2023 program will include presentations of high-quality theoretical and applied scientific papers and tutorials. Invited talks will describe important topics relevant to the field. *Topics of Interest* We invite submissions in the broad areas of Artificial Intelligence and Cognitive Science to communicate the advances and achievements in these fields. Areas of interest include, but are not restricted to: - Machine Learning - Natural Language Processing - Computer Vision - Automated Reasoning - Robotics - Deep Learning - Ethics of AI - Cognitive Psychology - Explainability / Interpretability - Cyberpsychology - Intelligent Systems - Opinion Mining - Recommender Systems - Machine Translation For a full list of areas associated with this conference please visit the conference website at: https://www.aics.ie/ *Submission* Accepted papers will be submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplore’s scope and quality requirements. We invite two types of submissions: - Full Paper Track: Full paper submissions should consist of original contributions (describing either fundamental research, interesting applications, in-use experiences, or reviews of the field) not published in other forums. Papers should be no more than 6-8 pages (including references) and these will be oral presentations at conferences. Papers over 6 pages will be charged €90 per extra page up to a maximum of two extra pages (8 pages maximum). - Short Paper Track: This track is designed to facilitate students who have recently completed a Master’s program or for PhD students. Short paper submissions should consist of original contributions (describing interesting applications or theoretical research) and the first author must be a student. Papers should be a maximum of 4 pages (including references) and these will be poster presentations at conferences. The paper submission system used is EasyChair and the submission link is: https://easychair.org/conferences/?conf=aics231 All papers will be reviewed by the Program Committee on the basis of technical quality, relevance to AICS23, originality, significance and clarity. For full submission instructions please visit: https://www.aics.ie/submission.html *Organisation* *Conference Chairs* Dr Kevin Meehan (Atlantic Technological University) - General Chair Dr Muskaan Singh (Ulster University) - Co-chair Dr Karla Muñoz Esquivel (Atlantic Technological University) - Co-chair Dr Fatemeh Golpayegani, (University College Dublin) - Co-chair *Organising Committee* Dr Jennifer Hyndman (Atlantic Technological University) Professor Michaela Black (Ulster University) Dr Gerry McWilliams (Atlantic Technological University) Dr Bryan Gardiner (Ulster University) Professor Hujun Yin (University of Manchester) Thank you on behalf of the chairs and organising committee.

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Postdoctoral position in LLM Alignment at Uni Würzburg
by Goran Glavaš 01 Sep '23

01 Sep '23

The Natural Language Processing Chair at JMU Würzburg (WüNLP) <https://www.informatik.uni-wuerzburg.de/nlp/wuenlp/> as a member of the Center for AI and Data Science (CAIDAS) <https://www.uni-wuerzburg.de/caidas/> offers one research position in the area of natural language processing (NLP). The position is bound to the project EQUIFAIR (Equitably Fair and Trustworthy Language Technology), funded by the Alcatel-Lucent Stiftung as part of the “Responsible AI” program. The project targets two major issues related to *alignment of large language models* (LLMs): hallucinations and societal biases, to be addressed in a (massively) multilingual context (i.e., across a wide variety of natural languages) and in an explainable/interpretable manner. The applicants should have a doctoral degree in Computer Science, Mathematics, or a related discipline. Substantial experience in modern NLP (i.e., LLM-based) research is expected, as well as prior publications at top-tier NLP/ML venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICLR, ICML), demonstrating ability to conduct research at the highest level. Prior experience in any of the subareas relevant to the project, namely fair and trustworthy NLP (hallucinations, biases), multilinguality, and/or explainable/interpretable AI, is a plus. The position is available for *two years*; the project will start as soon as the suitable candidate for this position is found. The remuneration will be at the level *E14* of the German federal wage agreement scheme (TV-L). Please send your application with standard documents (letter of motivation, curriculum vitae, academic records, optionally letter(s) or recommendation; please concatenate all documents into a single PDF) at your earliest convenience, but no later than *30.09.2023* to Prof. Dr. Goran Glavaš ( goran.glavas(a)uni-wuerzburg.de). Potential candidates are welcome to also informally contact Prof. Glavaš for additional information. We take diversity seriously and *especially encourage female and diversity* *candidates to apply*. WüNLP is one of the leading German NLP research labs. We are a young and energetic research group, part of CAIDAS, the ambitious AI research center of the University of Würzburg. Würzburg is one of the most livable cities in Germany. More information: https://www.informatik.uni-wuerzburg.de/nlp/news/single/news/open-position-…

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Deadline extension: CRAC 2023: Workshop on Reference, Anaphora and Coreference at EMNLP 2023
by Maciej Ogrodniczuk 01 Sep '23

01 Sep '23

(apologies for cross-posting) Submission deadline for <https://sites.google.com/view/crac2023/> CRAC 2023, the Sixth Workshop on Computational Models of Reference, Anaphora and Coreference, held at EMNLP 2023 <https://2023.emnlp.org/> , was extended to September 15, 2023. The website has all information but here are a few highlights: ● we welcome papers on any aspect of coreference, anaphora or bridging, whether it’s annotation, analysis or resolution, intra- or cross-document ● we have various categories of papers (research papers, survey papers, position papers and more) ● we were running a new edition the shared task on Multilingual Coreference Resolution <https://ufal.mff.cuni.cz/corefud/crac23> using a harmonized CorefUD dataset <https://ufal.mff.cuni.cz/corefud> , extended this year; the task is already over <https://codalab.lisn.upsaclay.fr/competitions/11800#results> but the resource is there, ready to be played with Please spread the news to everyone who might be still interested. Best regards, Maciej Ogrodniczuk (also on behalf of Vincent Ng, Sameer Pradhan, and Massimo Poesio)

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[SUBMISSION DEADLINE EXTENDED] (ArabicNLP 2023): The 1st Arabic Natural Language Processing Conference
by amr.keleg.p＠gmail.com 01 Sep '23

01 Sep '23

*** Apologies for Cross-Posting *** The ArabicNLP 2023’s organization committee is pleased to announce the extension of the paper submission deadline by 1 week, for it to be on Tuesday the 12th of September 2023, 23:59 AOE. The First Arabic Natural Language Processing Conference (ArabicNLP 2023) is co-located with EMNLP 2023 in Singapore. Conference URL: https://arabicnlp2023.sigarab.org/ Submission URL: https://openreview.net/group?id=SIGARAB.org/ArabicNLP/2023/Conference ArabicNLP 2023 invites the submission of original long, short, or demo papers in the area of Arabic Natural Language Processing. ArabicNLP 2023 builds on seven previous workshop editions, which have been extremely successful, drawing in a large active participation in various capacities. This conference is timely given the continued rise in research projects focusing on Arabic NLP. ArabicNLP 2023 will also feature shared tasks, allowing participants to work on specific NLP challenges related to Arabic language processing. The conference is organized by the Special Interest Group on Arabic NLP (SIGARAB), an Association for Computational Linguistics Special Interest Group on Arabic Natural Language Processing. Important Dates: * (Extended) September 12, 2023: conference papers due date * October 12, 2023: notification of acceptance * October 20, 2023: camera-ready papers due * December 7, 2023: conference day All deadlines are 11:59 pm UTC -12h (“Anywhere on Earth”). We accept long (up to 8 pages), short (up to 4 pages), and demo paper (up to 4 pages) submissions. Long and short papers will be presented orally or as posters as determined by the program committee. Submissions are invited on topics that include, but are not limited to, the following: Enabling core technologies: language models and large language models, morphological analysis, disambiguation, tokenization, POS tagging, named entity detection, chunking, parsing, semantic role labeling, sentiment analysis, Arabic dialect modeling, etc. Applications: dialog modeling, machine translation, speech recognition, speech synthesis, optical character recognition, pedagogy, assistive technologies, social media, etc. Resources: dictionaries, annotated data, corpora, etc. Submissions may include work in progress as well as finished work. Submissions must have a clear focus on specific issues pertaining to the Arabic language whether it is standard Arabic, dialectal, classical, or mixed. Papers on other languages sharing problems faced by Arabic NLP researchers, such as Semitic languages or languages using Arabic script, are welcome provided that they propose techniques or approaches that would be of interest to Arabic NLP, and they explain why this is the case. Additionally, papers on efforts using Arabic resources but targeting other languages are also welcome. Descriptions of commercial systems are welcome, but authors should be willing to discuss the details of their work. If you have any questions, please contact us at: arabicnlp-pc-chairs(a)sigarab.org What's in a name? To mark our move from a workshop to a conference, we changed our acronym from WANLP to ArabicNLP. The ArabicNLP 2023 Publicity Chairs, Amr Keleg and Salam Khalifa

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** Deadline extended ** ICNLSP 2023, 6th International Conference on Natural Language and Speech Processing
by Mourad Abbas 31 Aug '23

31 Aug '23

*The NEW submission DEADLINE is: 09 September 2023* 6th International Conference on Natural Language and Speech Processing <http://icnlsp.org/2023welcome> We are delighted to invite you to ICNLSP 2023, which will be held virtually from December 16th to 17th, 2023. ICNLSP 2023 offers the opportunity for attendees (researchers, academics and students, and industrials) to share their ideas and to connect to each other and make them up to date on the ongoing research in the field. ICNLSP 2023 aims to attract contributions related to natural language and speech processing. Authors are invited to present their work relevant to the topics of the conference. The following list includes the topics of ICNLSP 2023 but not limited to: Signal processing, acoustic modeling. Architecture of speech recognition system. Deep learning for speech recognition. Analysis of speech. Paralinguistics in Speech and Language. Pathological speech and language. Speech coding. Speech comprehension. Summarization. Speech Translation. Speech synthesis. Speaker and language identification. Phonetics, phonology and prosody. Cognition and natural language processing. Text categorization. Sentiment analysis and opinion mining. Computational Social Web. Arabic dialects processing. Under-resourced languages: tools and corpora. New language models. Arabic OCR. Lexical semantics and knowledge representation. Requirements engineering and NLP. NLP tools for software requirements and engineering. Knowledge fundamentals. Knowledge management systems. Information extraction. Data mining and information retrieval. Machine translation. NLP for Arabic heritage documents. *IMPORTANT DATES* Submission deadline: *31 August 2023* Notification of acceptance: *31 October 2023* Camera-ready paper due: *20 November 2023* Conference dates: *16, 17 December 2023* *PUBLICATION* 1- All accepted papers will be published in ACL Anthology ( https://aclanthology.org/venues/icnlsp/). 2- Selected papers will be published in Signals and Communication Technology (Springer) (https://www.springer.com/series/4748), indexed by Scopus and zbMATH. *KEYNOTE SPEAKERS* Alex Waibel, Carnegie Mellon University, USA Najim Dehak, Johns Hopkins University, USA For more details, visit the conference website: https://www.icnlsp .org/2023welcome *CONTACT* icnlsp(at)gmail(dot)com Best regards, Mourad Abbas

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The US Copyright Office wants to hear what people think about AI and copyright
by heather froehlich 31 Aug '23

31 Aug '23

All (with apologies for cross-posting) The U.S. Copyright Office is conducting a study regarding the copyright issues raised by generative artificial intelligence (AI). This study will collect factual information and policy views relevant to copyright law and policy. The Office will use this information to analyze the current state of the law, identify unresolved issues, and evaluate potential areas for congressional action. Please go here to submit your comments: https://www.copyright.gov/policy/artificial-intelligence/?fbclid=IwAR33KxMI… There will be 2 rounds of opportunities to comment: Initial written comments are due by 11:59 p.m. Eastern time on October 18, 2023. Reply comments are due by 11:59 p.m. eastern time on November 15, 2023. Here is a quick and accessible write-up by The Verge as to why this is relevant/important: https://www.theverge.com/2023/8/29/23851126/us-copyright-office-ai-public-c… <https://www.theverge.com/2023/8/29/23851126/us-copyright-office-ai-public-c…> Please feel welcome to share this with your networks, as my friend who works for the copyright office says they want as much feedback as they can get. I do not think you have to be a US citizen to participate. Very best wishes Heather Froehlich -- Dr Heather Froehlich w // http://hfroehli.ch t // @heatherfro

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Re: RANLP 2023 Call for Participation
by Sina Ahmadi 31 Aug '23

31 Aug '23

I second Edyta's points too. I have been on this list since 2015 and since then, the mailing list's standout feature has lied in its informative capacity to circulate calls for papers and job opportunities. While occasional "discussions" have also been a breath of fresh air, the current discourse doesn't quite align with this sentiment. It would be more beneficial if the list could enhance its utility by containing intense discussions privately rather than disseminating them widely. Thanks. Best regards, Sina Ahmadi Postdoctoral Researcher & Adjunct Lecturer Geroge Mason University http://sinaahmadi.github.io/ **On the job market! I'm seeking out new opportunities to collaborate and innovate as a researcher and lecturer (in Europe).** ________________________________ De : Daniela Cesiri via Corpora <corpora(a)list.elra.info> Envoyé : mercredi 30 août 2023 11:32 À : Edyta Jurkiewicz-Rohrbacher <edytaj(a)gmail.com> Cc : corpora(a)list.elra.info <corpora(a)list.elra.info> Objet : [Corpora-List] Re: RANLP 2023 Call for Participation Dear All, I agree with Edyta's polite remarks. I find the discussions below purely informative posts quite confusing, and I am "losing track" of the original posts to the point that I fear I might miss calls that could be relevant for my work, or miss discussions that are worth joining. Before Edyta's remarks I was even considering leaving the list because of the current situation in the list. So, I join Edyta's kind request to keep discussions as separate threads and leave call for papers/abstracts or job calls as purely informative posts. Perhaps opening a new, separate discussion thread might be an alternative option that would allow us to filter the different kinds of communications we received from the list. Best wishes to everyone, Daniela Cesiri Il Mer 30 Ago 2023, 17:15 Edyta Jurkiewicz-Rohrbacher via Corpora <corpora(a)list.elra.info<mailto:corpora@list.elra.info>> ha scritto: Dear Ada, dear all, I'm a bit concerned with what has been going with the list recently. The list, as far as I understand, serves several purposes. One of them is purely informative, where one informs the community about potentially interesting jobs, conferences etc. If I open an answer to a job advertisment, I expect it will be a question useful for the potential applicants or correction about, for example, deadlines. Another thing is to ask questions or start some discussions on various topics, either theoretical or purely practical. There I will expect people sharing their experience and opinions. What I do not find ok, is giving the feedback to purely informational posts in the way Ada does. In my opinion the discussions whether words or sentences are up-to-date concepts in any (general)linguistic or computational linguistic framework should be led in separate threads. (Notice also that the problem of text segmentation has been topic for already long time.) Summing up, I wouldn't mind if Adas comments were presented maybe privately to the authors of posts, or discussed in separate list-mails. Otherwise, we are facing chaos here. Summing up, I would be more than happy to participate, if discussions about the relation between linguistics and NLP took place, but not mixed with advertisments. I hope I did not offend anybody with this message. Best, Edyta Jurkiewicz-Rohrbacher śr., 30 sie 2023 o 16:35 Gilles Sérasset via Corpora <corpora(a)list.elra.info<mailto:corpora@list.elra.info>> napisał(a): > > Dear Ada, dear all, > > I am not a linguist but a computational scientist which is quite used to talk with (and tries to understand) linguists. I must say that I usually read your mails as thoroughly as my schedule and patience allows me to, but, to be honest, I also have a rather negative feeling when reading your “discourse”. > > In this discourse, I see facts + interpretation + rhetorics. > > [Here I take the risk of caricaturing for the sake of shortness, I hope you will understand that I have no time nor intention to really go deeply in all the intricacies of your different claims as I am more a witness than an actor of this scientific dispute] > > My understanding of your facts: Neural models do not use the concept of word in any of their tasks, but achieve very interesting results in their modelling of the language. > > My understanding of your interpretation: this is the proof that there is no such thing as a word. > > My understanding of your rhetoric: linguists are still using “words”, so they are wrong or dishonest or miseducated or dumb, we should wipe out entirely any occurence of this concept and start over with another modelling of the language. > > Please, understand that I am just presenting the way I am interpreting your different messages. And even if I am wrong here, this interpretation is to be taken into account as we are all persons with feeling. This feeling is a fact, even if I do not particularly feel targeted by your different criticisms. I hope this will help you ponder the terms involved in your next messages. > > This being said, I was not particularly surprised to see some “passionate” replies to your different messages. And I agree with everyone here, we should not go into such passion and use ad-hominem attacks on a mailing list, AND you should also understand that most of your rhetoric do contains such passion and attacks. > > > > > Concerning the facts : > > You are right, Neural models does not use any notion of word (or word morphology) as it is usually thought in linguistics as it usually first decide what is the granularity with which it will aggregate its input (sequence of characters) into tokens to which it attaches an “interpretation” (modelled as a multi-dimensional vector). > > > > > Concerning the interpretation : > > 1. You want to wipe out the notion of word based on such a fact. I would agree somehow if we were dealing with a universal modelling of language, but this is not the case. Human model language in a certain way and neural models in another way (even if neural networks are claimed to be inspired by biological neurones in our brains). The fact that a concept does not exist in a model does not entail that it does not exist in another model. > > > 2. Also, you do make the very same mistake concerning the way you look at the facts: i.e. there is no such thing as a character…, which means that the input of NN is already flown with a bias with which we look at language. Indeed characters are a very recent invention that builds on different concerns: > - usual graphical elements that are traditionally used in language writing and that has been interpreted as atomic, > - their interpretation by the encoding authorities (see the differences and debates about code points vs characters) > - arbitrary decision made (e.g. why model A and a as 2 different characters?) > Moreover, all corpora are usually badly encoded by using one character for another (quote instead of apostrophe, unbreakable character instead of a space, …) and this only accounts for languages with a writing system or transcription, i.e. not the majority of them. > > The conclusion is that even Neural Network uses artificial bias in the way they model language, which means that the conclusion we draw from them are as flawed as the one we draw from the classical way linguists look at languages. > > > 3. Most serious linguists never defined “words” lightly and most of them know that this concept is an "approximation” of something that is very difficult to apprehend and seems to be more grounded into linguistics from human introspection than linguistics from corpora. It somehow represents the way our human brain aggregates the atoms of the language (characters/phonemes) into something to which we associate an interpretation. In this sense, it is somehow the “tokens” of our biological neural network (and certainly far more). > > As an utterance production is not a bijection between whatever we have in our head and the sequential signal we use to communicate, I agree with you on the fact that “words" are certainly not present in a corpus (but I do think that our inner “tokens” may be observed somehow there). > > > Concerning the rhetoric: > > I do not think any linguist or computational linguist is naive enough to think that any of the modelling we deal with are a “truth” and I doubt any of them is miseducated enough to think that “words” are clearly defined and undoubtedly present in corpora. I do think though that they are usually right to observe occurrences (or hints) of non atomic constructs we associate with some interpretation. I also think that this way of looking to a corpus has some advantages that are not really present in NN (for instance, it can observe some regularity that will help human produce new utterances without being shown a large amount of examples). > > I also do think that even if you were totally right in your facts and interpretations, asking for a denial of current/past ways of looking to the texts will be a mistake. Even in physics, since the general theory of relativity, we know the classical mechanics is wrong, however it is still in use and it is not a problem as long as everybody know under which hypothesis it is a good enough approximation and under which hypothesis it does not work anymore. > > > > I know this message will certainly not make you think differently, but if it allows you to communicate differently with persons that still use the terms “words" or “sentences" as a simple shortcut to position their work into a shared/common understanding of the state of the art, in contexts where there is no room for better explanation (e.g. in summaries of their keynote speech), then I will have achieved something. > > Hoping this scientifical debate will continue in an appeased manner, > > Regards, > > Gilles Sérasset, > > _______________________________________________ > Corpora mailing list -- corpora(a)list.elra.info<mailto:corpora@list.elra.info> > https://list.elra.info/mailman3/postorius/lists/corpora.list.elra.info/ > To unsubscribe send an email to corpora-leave(a)list.elra.info<mailto:corpora-leave@list.elra.info> _______________________________________________ Corpora mailing list -- corpora(a)list.elra.info<mailto:corpora@list.elra.info> https://list.elra.info/mailman3/postorius/lists/corpora.list.elra.info/ To unsubscribe send an email to corpora-leave(a)list.elra.info<mailto:corpora-leave@list.elra.info> Nota automatica aggiunta dal sistema di posta Sostieni il futuro Dona il tuo 5x1000 al Collegio Internazionale Ca' Foscari FINANZIAMENTO DELLA RICERCA SCIENTIFICA E DELLA UNIVERSITÀ | CODICE FISCALE: 80007720271

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University of Leeds - 4 jobs teaching Computer Science
by Eric Atwell 31 Aug '23

31 Aug '23

School of Computing at University of Leeds is expanding our BSc, MEng, MSc and PhD research-led teaching. Our research strengths include Artifical Intelligence for language research. We offer 4 full-time ongoing (i.e. permanent) posts; if interested, you can apply separately for each post. Eric Atwell, Professor of Artificial Intelligence for Language Turing Fellow; LITE Fellow, "AI for Decolonising Reading Lists" Lecturer COMP2121 COMP5840 XJCO2121 OCOM5204 LISS1031 Online MSc AI programme leader School of Computing, Uni of LEEDS, LS2 9JT, UK http://www.comp.leeds.ac.uk/eric https://www.edubots.eu<https://www.edubots.eu/> ________________________________ We’ve advertised new opportunities on our careers site at https://jobs.leeds.ac.uk<https://jobs.leeds.ac.uk/> We hope you’ll be interested in these roles as they match your job alert subscriptions. You can view the job details, and apply, by clicking the following links: Teaching Assistant in Computer Science - EPSCP1135 Closing date: 20 Sep 2023 Grade: Grade 6 https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fjobs.leed…<https://jobs.leeds.ac.uk/EPSCP1135> Teaching Assistant in Computer Science - EPSCP1136 Closing date: 20 Sep 2023 Grade: Grade 6 https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fjobs.leed…<https://jobs.leeds.ac.uk/EPSCP1136> Teaching Fellow in Computer Science - EPSCP1137 Closing date: 20 Sep 2023 Grade: Grade 7 https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fjobs.leed…<https://jobs.leeds.ac.uk/EPSCP1137> Teaching Fellow in Computer Science (Online Education) - EPSCP1138 Closing date: 20 Sep 2023 Grade: Grade 7 https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fjobs.leed…<https://jobs.leeds.ac.uk/EPSCP1138> If you have any questions or need any further assistance, please contact our HR team who will be more than happy to help. Human Resources University of Leeds

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RANLP 2023 Call for Participation
by amalhaddad＠ugr.es 30 Aug '23

30 Aug '23

RANLP 2023 Call for Participation We are pleased to share the programme of the international conference 'Recent Advances in Natural Language Processing' (RANLP'2023). To view the programme, please click here https://ranlp.org/ranlp2023/index.php/main-conference-programme/ To register, please visit https://ranlp.org/ranlp2023/index.php/fees-registration/ We very much hope to welcoming you at RANLP'2023 in Varna!

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Last CfP: 7th Workshop on Natural Language for Artificial Intelligence (NL4AI)
by Dominique Brunato 30 Aug '23

30 Aug '23

[Apologies for possible cross-posting] ***************************************************************************************************** *CALL FOR PAPERS* 7th Workshop on Natural Language for Artificial Intelligence (NL4AI) at the 22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2023) November 6th - 9th, 2023, Rome, Italy Website: http://sag.art.uniroma2.it/NL4AI/ http://www.aixia2023.cnr.it/ ***************************************************************************************************** *IMPORTANT DATES* PAPER SUBMISSION DEADLINE: SEPTEMBER 11TH, 2023 Notification of paper acceptance: September 29th, 2023 Camera-ready version deadline: October 9th, 2023 Workshop (at AIxIA 2023): November 6th - 9th, 2023 ***************************************************************************************************** *INTRODUCTION* The goal of the NL4AI workshop is to explore the role of Computational Linguistics and Natural Language Processing in Artificial Intelligence applications. We believe that new technological challenges and opportunities rise at the boundary between NLP and AI. On the one hand, AI applications benefit from a deeper understanding of problems related to Natural Language, and thus the integration of advanced NLP techniques. On the other hand, NLP benefits greatly from being used in wider areas of AI where problems and methodologies related to NL can be evaluated in new contexts. *TOPICS OF INTEREST* We invite papers that pertain to the workshop theme including, but not limited, to: * NLP and AI Applications (health, legal domain, social media and journalism, etc.) * Natural Language Interfaces for Human Robot Interaction * Resources and Evaluation * Discourse and Pragmatics * Natural Language Generation * Information extraction in AI applications * Machine Learning for NLP * Sentiment analysis and Opinion mining * Natural Language Inference * NLP and Industrial Challenges * Semantics * Conversational Agents in Human-Computer Interaction * Cognitive modeling and psycholinguistics * Language and other Multimodality * Speech and Spoken language processing * Ethics and NLP * Interpretability, Explainability and Analysis of Models for NLP * Abusive Language Detection and Analysis * Machine Translation and Multilinguality * Question Answering * Summarization * NLP for Fact Checking, Fake News Detection and Analysis * LLMs and Applications * Multimodal (text-image) data sources Accepted papers will be published in the workshop proceedings via CEUR Workshop Proceedings. Depending on the number and quality of papers received, we will consider proposing a special issue in relevant journals. The Program Committee will select the Best Workshop Paper from the accepted papers. *HOW TO SUBMIT* We encourage submissions that describe new theoretical models, applied techniques, and research in progress. Substantial extensions to works already published or presented in other locations are also welcomed. We will invite two kinds of submissions, which address novel interface issues in recommender systems by following the new 2022 CEUR-ART – 1 Column papers style (http://ceur-ws.org/Vol-XXX/CEURART.zip). Short/Demo papers: The maximum length is 6 pages (plus up to 2 pages of references). Long papers: The maximum length is 12 pages (plus up to 2 pages of references). Please note that papers with less than 25000 characters will be considered short papers in the CEUR proceedings. Submissions will be peer-reviewed (single-blind) by the program committee members. Evaluation criteria will include novelty, significance for theory/practice, technical soundness, and quality of presentation. All the submissions should be submitted via EasyChair at: https://easychair.org/conferences/?conf=nl4ai2023 *WORKSHOP ORGANIZERS* Elisa Bassignana, IT University of Copenhagen, Denmark Dominique Brunato, Institute for Computational Linguistics “A. Zampolli” (CNR-ILC), Italy Marco Polignano, University of Bari Aldo Moro, Italy Alan Ramponi, Fondazione Bruno Kessler, Italy

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2024

2023

2022