- Corpora - ELRA lists

2 Assistant/Associate Professors in Artificial Intelligence at Leiden Institute of Advanced Computer Science (LIACS)
by Wijnholds, G.J. (Gijs) 22 Feb '24

22 Feb '24

Dear all, My institute is looking to recruit two assistant or associate professors in AI, which may be relevant to people on this list. Here’s the beginning of the vacancy: "The Faculty of Science, Leiden Institute of Advanced Computer Science (LIACS), is looking for: 2 Assistant/Associate Professors in Artificial Intelligence (0.8-1.0 FTE) The rapid evolution and expansion of Artificial Intelligence and Computer Science and the increasing integration with other disciplines creates new challenges in developing and understanding modern computation in its foundations, applications, and societal consequences. Our institute is at the center of this transformation, and we aim to strengthen our research and education in artificial intelligence. We are looking for candidates with expertise complementary to the one that is already present at LIACS and related to generative AI, human centered AI, interactive machine learning, and computational creativity." Here’s the full vacancy: https://www.universiteitleiden.nl/vacatures/2024/q1/14490-2-assistant_assoc… Best, dr. Gijs Wijnholds Assistant Professor in Natural Language Processing Text Mining and Retrieval Group<https://tmr.liacs.nl/> Leiden Institute of Advanced Computer Science https://gijswijnholds.github.io

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[CfP] e-Commerce and NLP Workshop @ LREC-COLING 2024
by besnikf＠amazon.com 22 Feb '24

22 Feb '24

The Seventh Workshop on e-Commerce and NLP (ECNLP 7) Co-located with LREC-COLING 2024 in Torino, Italy – May 21, 2024 https://sites.google.com/view/ecnlp/ Submission Deadline: Friday Feb 23, 2024 - 23:59pm (AoE) ECNLP focuses on NLP for e-Commerce and online shopping applications. We welcome papers covering all aspects on online commerce and data, including search, retrieval, and customer-facing applications and tasks. Important Dates Submission Deadline: Friday Feb 23, 2024 - 23:59pm (AoE) Acceptance Notification: Friday March 29, 2024 Camera-ready versions: Friday April 12, 2024 Workshop: Tuesday May 21, 2024 Instructions for Authors Papers must be submitted in PDF format using the official LREC-COLING template. More details available on the website. Additional Information and Contact Details https://sites.google.com/view/ecnlp/home/ Workshop Scope ECNLP invites quality research contributions as short or long papers. All submissions will undergo a double-blind review process, and accepted submissions will be presented at the workshop. NLP and IR have been powering e-Commerce applications since the early days of the fields. Today, NLP and IR already play a significant role in e-commerce tasks, including product search, recommender systems, product question answering, machine translation, sentiment analysis, product description and review summarization, and customer review processing, among many other tasks. With the exploding popularity of chatbots and shopping assistants – both text- and voice-based – NLP, IR, question answering, and dialogue systems research is poised to transform e-commerce once again, but requires a forum where new and unfinished ideas could be discussed. The ECNLP workshop will provide a venue for the dissemination of NLP and IR research results related to e-commerce and online shopping, bringing together researchers from both academia and industry. The workshop welcomes submission of late-breaking and preliminary research results, as well as opinion and position papers. Topics of interest include but are not limited to: - Product classification and cataloguing (including into types and hierarchies) - NER for products, brands, attributes, and part names - Search and product query auto-completion - Recommender systems and product suggestions - Machine Translation applied to e-commerce (e.g. translating product titles/reviews) - Voice & dialogue-based e-commerce applications; ASR for e-commerce - Advertising and ad prediction/forecasting models - Fraud and spam detection in e-commerce (e.g. in customer reviews/comments) - Product description and review summarization - Product similarity and matching of seller-provided listings to catalog products - Technical support request processing (user emails, chat agents, etc.) - E-commerce related social media processing - The intersection of Computer Vision and NLP (e.g. product images and text) - Product Question Answering - Shopping assistants, agents, and chat bots - Sentiment analysis, opinion mining, and stance detection in user-generated content - Relevant resources and datasets Thank you, The ECNLP Organizing Committee

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Discharge Me! shared task
by dina demner 22 Feb '24

22 Feb '24

The Discharge Me! shared task invites participants to streamline the generation of discharge summary sections in the EHR, with the goal of alleviating clinician burden and enhancing patient care quality. Leveraging a dataset derived from MIMIC-IV, participants are tasked with generating the "Brief Hospital Course" and "Discharge Instructions" sections using over 100,000 admissions from the Emergency Department (ED). Submission guidelines and data access agreements are detailed on the task and competition website (https://stanford-aimi.github.io/discharge-me <https://gcc02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fstanford-…>), with system submissions due by May 10th, 2024. Accepted papers will be presented at the 23rd Workshop on Biomedical Natural Language Processing at ACL 2024. Join us in revolutionizing clinical documentation and improving healthcare workflows! For further details and registration, please visit the Codabench competition page linked on the task website.

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special issue of SNAM journal - Datasets, Language Resources and Algorithmic Approaches on Online Wellbeing and Social Order in Asian Languages - Deadline July 2024
by Rajesh Sharma 21 Feb '24

21 Feb '24

Hello All, Special issue of the *Social Network Analysis and Mining (SNAM)* journal: *Datasets, Language Resources and Algorithmic Approaches on Online Wellbeing* *and Social Order in Asian Languages* https://link.springer.com/journal/13278/updates/26741080 *** Deadline for submission: July 2024 *** *** Guest Editors *** Vivek Kumar Singh, Banaras Hindu University, Varanasi, India David Pinto, Benemerita Universidad Autonoma de Puebla, Mexico Dr Sriparna Saha, Indian Institute of Technology, Patna, India Dr. Vedika Gupta, OP Jindal Global University, Haryana, India. Dr. Rajesh Sharma, University of Tartu, Estonia. *** Context *** The phenomenal growth of social media platforms has resulted in their becoming ubiquitous in the sense that now almost everyone on the planet is using or is being affected by content on social media platforms. Social media platforms have become so influential that they are not only affecting individual thoughts and behaviours but also guiding collective behaviours of groups and societies. There are now innumerable instances of hate speech, abusive content, cyberbullying, misogyny, fake news and disinformation etc. on social media platforms. Such content can severely impact our emotions, mental health, and well-being. The spread of hate speech, misinformation, fundamentalist propaganda, religious hate campaigns etc. on social media platforms can be furthermore dangerous as it could disturb the social order and harmony. The hateful and targeted campaigns can affect social structures and institutions, values, and norms. Therefore, it is extremely important that such content is identified and appropriately dealt with. However, due the huge volume and speed of creation of such content, it can only be done by using sophisticated computational methods that can automatically detect and identify harmful content. Taking into account the fact that the social media is accessible in large number of languages across the world, the task becomes more challenging. Availability of enough and suitable data and resources is a fundamental requirement towards this endeavour. Asia, being the largest continent, embraces diverse cultures, ethnicities and languages. There are around 2300 languages spoken in Asia. Though there has been substantial research on the above mentioned aspects in the English language, research in Asian languages is still in its infancy. The limited or availability of no datasets and resources in these languages is a primary reason for this. This special issue aims to bring together contributions that advance the research in the area of computational methods for automatic detection and identification of harmful content on the social media platforms, such as those reporting: · Algorithmic approaches · Computational resources · Datasets · Dictionaries and Lexicons · Software Resources Contributions that report novel methods and techniques, datasets and application of various state of the art methods for different tasks in the social media text analytics, including those in low resource languages are also welcome. Though the main focus area of the special issue is on the analysis of the textual content, studies and resources that report multimodal data (with text being the major part) will also be considered. ***Topics of Interest*** The special issue invites original, unpublished contributions on datasets (elicitation, processing, annotation) and resources (corpora, lexica, database, ontologies, computational approaches, and methodologies) on the following non-exhaustive list of indicative topics: · Aggression and Abusive Content detection · Cognitive Analytics of Social Media Services · Collective Idea Generation and Opinion Dynamics · Depression Intensity Estimation · Detection of Hate Speech, Profanity, Hostility, Cyberbullying · Disinformation, Misinformation, Fake News and Rumours · Emotion analysis, Emotional conversation generation · Fraud detection in online social network · Making online environments safer · Personality trait assessment · Polarization in online discussions · Protecting Children from abusive content · Racial and targeted abuse detection · Religious abuse and bias detection · Sentiment Analysis · Sexism and Misogynistic attitude detection · Social Alignment Contagion in Online Social Networks · Social biases in online texts · Social Perception and Social Influence in social media · Suicide Ideation detection in the Online Environment · Violent Incident detection *** Important dates *** • Submission deadline: July 2024 • Notification to the authors after the first review: December 2024 • Notification to the authors after the second review: March 2025 • Publication: December 2024 *** Submission Guidelines *** Articles reporting original and unpublished research results pertaining to the above topics are solicited. Submitted articles will follow an academic review process. Manuscripts must be prepared according to the instructions for authors available at the journal webpage and submitted through the publisher's online submission system, available here <https://idp-personal-authenticator.springernature.com/gateway?response_type…> . Kind Regards Rajesh Sharma, Associate Professor, Head, Computational Social Science Lab, Institute of Computer Science, University of Tartu, Estonia Group webpage: https://css.cs.ut.ee/ Personal Webpage: https://rajeshsharma.cs.ut.ee/

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Call for applications - Summer School 2024 - Digital Humanities and Digital Communication: Challenges and opportunities of interacting with and through technology
by jessicajane.nocella1＠gmail.com 21 Feb '24

21 Feb '24

Summer School 2024 Digital Humanities and Digital Communication: Challenges and opportunities of interacting with and through technology Host Institution: University of Modena and Reggio Emilia Coordinating Institution: Department of Studies on Language and Culture Website: https://www.summerschooldigitalhumanities.unimore.it/ Dates: 3 June 2024—7 June 2024 Location: Modena, Emilia Romagna, Italy CALL FOR APPLICATIONS We are happy to announce the 6th edition of our Summer School in Digital Humanities and Digital Communication, which will be hosted by the Department of Studies on Language and Culture of the University of Modena and Reggio Emilia, in collaboration with the Fondazione Marco Biagi. As part of the Doctoral Programme in Human Sciences, the Summer School aims to provide PhD students and young researchers with methodological tools for the study of digital communication and data analysis. This year’s focus is on challenges and opportunities of interacting through technology, with topics ranging from digital resources for research in the humanities to the use of new information technologies for data analysis; from tools for analysing communication in new media to ways of processing, accessing, and disseminating knowledge. SUMMER SCHOOL THEMES The digital world in which we live opens up numerous opportunities, but also challenges and risks. In recent years the impact of technology has been profound and far-reaching and the speed at which innovations have been introduced has radically changed the landscape of research and communication. New forms of media have transformed our working and social habits and the dynamics of interpersonal relationships. Digital technology has also facilitated the production, storage and access to information. Research, especially in the humanities, has benefited from increasingly complex digital archives, the flexibility and the multimodality of digital publishing, the wealth of tools for the compilation, annotation and analysis of corpora etc. The object itself of research has changed, often including digital data or focusing on digital communication and user- generated content in particular. Dissemination of knowledge has expanded its potential with the use of augmented reality and gaming. Indeed, generative AI is opening the whole field of the humanities to new methods and new research questions. However, these trends often pull in opposite directions, creating paradoxes and contradictions. For example, whilst an infinite amount of information is guaranteed, the reliability, trustworthiness and source of that information is unknown, with AI in the background and the legal issues associated with it (data leaks, misrepresenting information, unintended uses etc.). Access to global systems of communication bring potentially an infinite number of people into contact, but at the same time, alone with our computers or mobile phones, we can become detached and solitary. Contemporary forms of communication have blurred the distinction between what is real and what is virtual. What kind of demands do the new forms of technology pose on researchers in the humanities? What role does literacy play in fostering ethical understanding and critical thinking in today’s technologically evolving society? Is there a risk of undermining the active role of human agents with AI? May too much trust be placed on the machine? The summer school will try to discuss the challenges and opportunities of interacting with and through technology, considering new fields of study, new tools and resources, new forms of collaboration in research, while at the same time allowing participants to explore some of the recent advances in the field of digital humanities in hands-on workshops. APPLICATIONS AND SUBMISSION GUIDELINES https://www.summerschooldigitalhumanities.unimore.it/application/ IMPORTANT DATES Deadline for applications: March 28, 2024 Notification of acceptance: April 10, 2024 Conference website: https://www.summerschooldigitalhumanities.unimore.it/ For any inquiry, please contact the organisers at: digitalhumanities(a)unimore.it

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Final call: The First Workshop on Language-driven Deliberation Technology (May 20th, LREC-COLING). Deadline: March 2nd
by Gabriella Lapesa 21 Feb '24

21 Feb '24

Call Deadline: 02-Mar-2024 Meeting Description: The DELITE workshop provides a forum for presenting new advances in technology around deliberation by addressing researchers in Natural Language Processing, human-computer interaction, corpus linguistics, political science and philosophy, as well as stakeholders and domain experts involved in integrating such technology into decision-making processes. With numerous projects all over the world interested in aspects of digital democracy, inclusivity and representation in the decision-making process and improving deliberative democracy, DELITE2024 is right at the center of a new interdisciplinary research community, with the language-driven angle representing a fundamental and distinctive contribution. 2nd Call for Papers: Deliberation is ubiquitous: from navigating divergent interests in everyday personal life to reaching consensus in the political decision making process, deliberation describes the communicative process by which a group of people exchange ideas, weigh different arguments, and ultimately reach mutual understanding. In recent years, deliberative processes have gained momentum and shown to improve everyday and political decision-making. For the first time, technological solutions are maturing to the point that they can be deployed to support deliberation. In this context, we want to establish the foundations for collecting and curating data for deliberation domains and for evaluating technology in deliberative settings. The DELITE workshop provides a forum for presenting new advances in technology around deliberation by addressing researchers in Natural Language Processing, human-computer interaction, corpus linguistics, political science and philosophy, as well as stakeholders and domain experts involved in integrating such technology into decision-making processes. Topics for DELITE2024 include, but are not limited to: - Technological advances for public decision making - Deliberation theory in NLP models - In-domain versus across domain resources and corpora - Data-driven theory development - Integration of language systems into deliberation processes and interfaces - Technological solutions for online deliberation at scale - Argument mining for deliberation scenarios - Visual Analytics for human sensemaking - Empirical foundations for evaluation - Integration and reflection on recent advances in LLMs for deliberation scenarios - Explainability - Ethical questions - Addressing bias Application areas include, but are not limited to: - Public policy making - Democratic innovations - Deliberative democracy - Political decision making - Participatory urban planning - Citizen engagement and co-creation - Intelligence services and military - Conflict resolution/mitigation - Case analysis in healthcare - Legal decision making - Scholarly discourse (written and spoken) Submissions *************** Papers must describe original (completed or in progress) and unpublished work. We invite long (8 pages, excluding references) and short papers (4 pages, excluding references). Papers must be anonymized to support double-blind reviewing, i.e., they must not include authors’ names and affiliations and should avoid links to non-anonymized repositories. Papers that do not conform to these requirements will be rejected without review. Upon acceptance, the papers will be given one additional page – for long papers, up to nine (9) pages of content plus unlimited pages for acknowledgments and references and five (5) pages for short papers. We also invite non-archival, non-anonymous papers (2-4 pages, including references) to describe ongoing work, introduce research projects, or summarize already published work. These will be presented in a poster session where ongoing projects are presented in order to serve community building. Submission of all papers is electronic, using the Softconf START conference management system (https://softconf.com/lrec-coling2024/delite2024/). Papers must follow the LREC-COLING 2024 two-column format, using the supplied official style files. The templates can be downloaded from the Style Files and Formatting page provided on the website. Please do not modify these style files, nor should you use templates designed for other conferences. Submissions that do not conform to the required styles, including paper size, margin width, and font size restrictions, will be rejected without review. Important Dates ****************** Paper submission deadline: 2 March 2024 (extended) Notification of acceptance: 13 March 2024 Camera-ready versions due: 20 March 2024 Workshop date: 20 May 2024 (half-day)

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NLPerspectives Final CFP & deadline extension
by Sara Tonelli 21 Feb '24

21 Feb '24

LPerspectives: The 3rd Workshop on Perspectivist Approaches to NLP Collocated with LREC-COLING in Turin, Italy FINAL CALL FOR PAPERS (DEADLINE EXTENSION) https://nlperspectives.di.unito.it/w/3rd-workshop-on-perspectivist-approach… Until recently, the dominant paradigm in natural language processing (and other areas of artificial intelligence) has been to resolve observed label disagreement into a single “ground truth” or “gold standard” via aggregation, adjudication, or statistical means. However, in recent years, the field has increasingly focused on subjective tasks, such as abuse detection or quality estimation, in which multiple points of view may be equally valid, and a unique ‘ground truth’ label may not exist (Plank, 2022). At the same time, as concerns have been raised about bias and fairness in AI, it has become increasingly apparent that an approach which assumes a single “ground truth” can erase minority voices. Strong perspectivism in NLP (Cabitza et al., 2023) pursues the spirit of recent initiatives such as Data Statements (Bender and Friedman, 2018), extending their scope to the full NLP pipeline, including the aspects related to modelling, evaluation and explanation. In line with the first <https://nlperspectives.di.unito.it/w/w2022/> and second <https://nlperspectives.di.unito.it/w/2nd-workshop-on-perspectivist-approach…> editions, the third NLPerspectives (Perspectivist Approaches to Disagreement in NLP) workshop will explore current and ongoing work on: the collection and labelling of non-aggregated datasets; and approaches to modelling and including these perspectives in NLP pipelines, as well as evaluation and applications of multi-perspective Machine Learning models. We also welcome opinion pieces and literature reviews, e.g., fairness and inclusion in a perspectivist framework. Following our previous workshops, a key outcome of the third edition will be to continue the work begun at https://pdai.info/ to create a repository of perspectivist datasets with non-aggregated labels for use by researchers in perspectivist NLP modelling. Authors are, therefore, invited to share their LRs (data, tools, services, etc.) and provide essential information about resources (i.e., also technologies, standards, evaluation kits, etc.) that have been used for the work or are a result of their research. In addition, authors will be required to adhere to ethical research policies on AI and may include an ethics statement in their papers. The NLPerspectives workshop will be co-located with the 14th edition of LREC-COLING 2024 <https://lrec-coling-2024.org/> in Torino, Italy, in May 20-25, 2024 and online. Submissions The papers should be submitted as a PDF document, conforming to the formatting guidelines provided in the call for papers of LREC-COLING conference: authors-kit <https://lrec-coling-2024.org/authors-kit/> We accept three types of submissions: Regular research papers; Non-archival submissions: like research papers, but will not be included in the proceedings; Research communications: 4-page abstracts summarising relevant research published elsewhere. NLPerspectives will also accept submissions that have been rejected from the main LREC-COLING conference or ACL rolling review, provided they are accompanied with their reviews and they fit the topic of the workshop. Research papers (archival or non-archival) may consist of up to 8 pages of content. Research communications may consist of up to 4 pages of content. More details will be up soon. Please make submissions at https://softconf.com/lrec-coling2024/nlperspectives2024/ Topics We invite original research papers from a wide range of topics, including but not limited to: Non-aggregated data collection and annotation frameworks Descriptions of corpora collected under the perspectivist paradigm Multi-perspective Modelling and Machine Learning Evaluation of multi-perspective models/ models of disagreement Multi-perspective disagreement as applied to NLP evaluation Fairness and inclusive modelling Perspectivist approaches for social good Applications of multi-perspective modelling Computing with (dis)agreement Perspectivist Natural Language Generation Foundational aspects of perspectivism Opinion pieces and reviews on perspectivist approaches to NLP Submissions are open to all, and are to be submitted anonymously (and must conform to the instructions for double-blind review). All papers will be refereed through a double-blind peer review process by at least three reviewers, with final acceptance decisions made by the workshop organisers. Scientific papers will be evaluated based on relevance, significance of contribution, impact, technical quality, scholarship, and quality of presentation. Attendance At least one author of each accepted paper is required to participate in the conference and present the work, in-person or online. Important Dates * (EXTENDED) Friday March 1, 2024: Paper submission * Friday March 29, 2024: Notification of acceptance * Friday April 12, 2024: Camera-ready papers due * Tuesday May 21, 2024: Workshop Workshop organisers: Gavin Abercrombie, Heriot-Watt University Valerio Basile, University of Turin Davide Bernardi, Amazon Alexa Shiran Dudy, Northeastern University Simona Frenda, University of Turin Lucy Havens, University of Edinburgh Sara Tonelli, Fondazione Bruno Kessler Contact us at g.abercrombie(a)hw.ac.uk <mailto:g.abercrombie@hw.ac.uk> if you have any questions. Website: https://nlperspectives.di.unito.it/ -- -- Le informazioni contenute nella presente comunicazione sono di natura privata e come tali sono da considerarsi riservate ed indirizzate esclusivamente ai destinatari indicati e per le finalità strettamente legate al relativo contenuto. Se avete ricevuto questo messaggio per errore, vi preghiamo di eliminarlo e di inviare una comunicazione all’indirizzo e-mail del mittente. -- The information transmitted is intended only for the person or entity to which it is addressed and may contain confidential and/or privileged material. If you received this in error, please contact the sender and delete the material.

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36th International Conference on Advanced Information Systems Engineering (CAiSE 2024): Last Call for Tutorial Proposals
by Announce 21 Feb '24

21 Feb '24

*** Last Call for Tutorial Proposals *** 36th International Conference on Advanced Information Systems Engineering (CAiSE'24) June 3-7, 2024, 5* St. Raphael Resort and Marina, Limassol, Cyprus https://cyprusconferences.org/caise2024/ (*** Submission Deadline: 28th February, 2024 AoE ***) CAiSE'24 invites proposals for tutorials on advanced topics in the field of Information Systems Engineering. Tutorials should aim at offering new insights, knowledge, and skills to professionals, educators, researchers, and students seeking to gain a better understanding either about methods of broad interest in the field, or emergent paradigms that are ripe for practical adoption or that require further research to reach maturity. Proposals emphasizing the special theme of the CAISE'24 conference “Information Systems in the Age of Artificial Intelligence” are encouraged, but proposals on other new or long-standing topics in information systems engineering are also welcome. Tutorials should be focused on principles, concepts, and methods. Commercial or sales-oriented presentations are not allowed and will not be accepted. Tutorials are intended to provide a pedagogic introduction to or overview of a topic of relevance. Potential presenters should keep in mind that there may be a heterogeneous audience, including novice graduate students, experienced practitioners, and specialized researchers. Tutorial speakers should be prepared to cope with this diversity in the audience. Tutorials will be 90 minutes long and organized in parallel with the technical sessions of the main conference and participants of the conference will have free access to all of them. Potential proposers are free to contact the tutorial chairs via e-mail to validate their idea prior to the submission. SELECTION CRITERIA The tutorial chairs will review each proposal and select a subset of them based on the following criteria: 1. relevance to the field of IS engineering; 2. anticipated appeal to the conference audience; 3. timeliness and importance for the conference audience; 4. past experience and qualifications of the instructor(s). The tutorial chairs will also consider the complementarity of the proposal w.r.t. the conference program and other tutorial proposals. SUBMISSION GUIDELINES Tutorial proposals should be submitted to Easy Chair using the conference submission site (https://easychair.org/conferences/?conf=caise2024) and then selecting the “CAiSE 2024 Tutorials” track. The proposal (length up to 1500 words) should cover the following points: • Title • Presenters and affiliation • Goal: The overall goal of the tutorial. • Scope: Intended audience, level (basic or advanced), and prerequisites. • Topic relevance and novelty: Specifically indicate the relevance to the scope of CAiSE, the relevance to practice, the novel aspects that would make this tutorial beneficiary and appealing to CAiSE participants. • Structure of contents: Here you should provide a structured overview of your planned tutorial, organized into numbered sections and subsections. For each subsection, you should sketch its contents in a few sentences or bullet points. • References: Provide references to papers, books, etc. that your tutorial builds on. Please specify previous venues at which similar tutorials have been presented by you and indicate the difference between the proposed tutorial and previous ones. CAiSE usually does not accept tutorials that have been presented in other venues. • Sample Slides: Include at least 5 sample slides of the presentation you plan to give if your tutorial is accepted. Select slides that are typical of your presentation style. These slides have to be submitted in a separate PDF file. Services provided to tutorialists • A 2-page tutorial abstract will be published in the CAiSE LNCS proceedings • Tutorials will benefit from the local organizational infrastructure (registration, badges, refreshments, beamers, screens, etc.). • Advertisement of the tutorial on CAISE 2024 homepage and mailings. • The conference fee will be waived for tutorial presenters (one fee per tutorial). IMPORTANT DATES • Submission of Tutorial Proposals: 28th February, 2024 (AoE) • Notification of Acceptance: 15th March, 2024 • Camera-ready Abstracts: 5th April, 2024 • Tutorial Presenters Registration Deadline: 8th April, 2024 TUTORIAL CHAIRS • Adela del Rio Ortega, University of Seville, Spain (adeladelrio(a)us.es) • Tiago Prince Sales, University of Twente, The Netherlands (t.princesales(a)utwente.nl) Other Committee Members https://cyprusconferences.org/caise2024/committees/

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[CFP] NLDB 2024 - The 29th International Conference on Natural Language & Information Systems - Submissions Open [CFP]
by Federico Torrielli 21 Feb '24

21 Feb '24

* We apologize if you receive multiple copies of this CFP * For the online version of this Call, visit: https://nldb2024.di.unito.it/submissions/ =============== *SUBMISSIONS ARE OPEN* AT https://easychair.org/conferences/?conf=nldb2024 =============== NLDB 2024 The 29th International Conference on Natural Language & Information Systems 25-27 June 2024, University of Turin, Italy. Website: https://nldb2024.di.unito.it/ Submission deadline: 22 March, 2024 About NLDB The 29th International Conference on Natural Language & Information Systems will be held at the University of Turin, Italy, and will be a face to face event. Since 1995, the NLDB conference brings together researchers, industry practitioners, and potential users interested in various applications of Natural Language in the Database and Information Systems field. The term "Information Systems" has to be considered in the broader sense of Information and Communication Systems, including Big Data, Linked Data and Social Networks. The field of Natural Language Processing (NLP) has itself recently experienced several exciting developments. In research, these developments have been reflected in the emergence of Large Language Models and the importance of aspects such as transparency, bias and fairness, Large Multimodal Models and the connection of the NLP field with Computer Vision, chatbots and dialogue-based pipelines. Regarding applications, NLP systems have evolved to the point that they now offer real-life, tangible benefits to enterprises. Many of these NLP systems are now considered a de-facto offering in business intelligence suites, such as algorithms for recommender systems and opinion mining/sentiment analysis. Language models developed by the open-source community have become widespread and commonly used. Businesses are now readily adopting these technologies, thanks to the efforts of the open-source community. For example, fine-tuning a language model on a company’s own dataset is now easy and convenient, using modules created by thousands of academic researchers and industry experts. It is against this backdrop of recent innovations in NLP and its applications in information systems that the 29th edition of the NLDB conference takes place. We welcome research and industrial contributions, describing novel, previously unpublished works on NLP and its applications across a plethora of topics as described in the Call for Papers. Call for Papers: NLDB 2024 invites authors to submit papers on unpublished research that addresses theoretical aspects, algorithms, applications, architectures for applied and integrated NLP, resources for applied NLP, and other aspects of NLP, as well as survey and discussion papers. This year's edition of NLDB continues with the Industry Track to foster fruitful interaction between the industry and the research community. Topics of interest include but are not limited to: * Large Language Models: training, applications, transfer learning, interpretability of large language models. * Multimodal Models: Integration of text with other modalities like images, video, and audio; multimodal representation learning; applications of multimodal models. * AI Safety and ethics: Safe and ethical use of Generative AI and NLP; avoiding and mitigating biases in NLP models and systems; explainability and transparency in AI. * Natural Language Interfaces and Interaction: design and implementation of Natural Language Interfaces, user studies with human participants on Conversational User Interfaces, chatbots and LLM-based chatbots and their interaction with users. * Social Media and Web Analytics: Opinion mining/sentiment analysis, irony/sarcasm detection; detection of fake reviews and deceptive language; detection of harmful information: fake news and hate speech; sexism and misogyny; detection of mental health disorders; identification of stereotypes and social biases; robust NLP methods for sparse, ill-formed texts; recommendation systems. * Deep Learning and eXplainable Artificial Intelligence (XAI): Deep learning architectures, word embeddings, transparency, interpretability, fairness, debiasing, ethics. * Argumentation Mining and Applications: Automatic detection of argumentation components and relationships; creation of resource (e.g. annotated corpora, treebanks and parsers); Integration of NLP techniques with formal, abstract argumentation structures; Argumentation Mining from legal texts and scientific articles. * Question Answering (QA): Natural language interfaces to databases, QA using web data, multi-lingual QA, non-factoid QA(how/why/opinion questions, lists), geographical QA, QA corpora and training sets, QA over linked data (QALD). * Corpus Analysis: multi-lingual, multi-cultural and multi-modal corpora; machine translation, text analysis, text classification and clustering; language identification; plagiarism detection; information extraction: named entity, extraction of events, terms and semantic relationships. * Semantic Web, Open Linked Data, and Ontologies: Ontology learning and alignment, ontology population, ontology evaluation, querying ontologies and linked data, semantic tagging and classification, ontology-driven NLP, ontology-driven systems integration. * Natural Language in Conceptual Modelling: Analysis of natural language descriptions, NLP in requirement engineering, terminological ontologies, consistency checking, metadata creation and harvesting. * Natural Language and Ubiquitous Computing: Pervasive computing, embedded, robotic and mobile applications; conversational agents; NLP techniques for Internet of Things (IoT); NLP techniques for ambient intelligence * Big Data and Business Intelligence: Identity detection, semantic data cleaning, summarisation, reporting, and data to text. Important Dates: Full paper submission: 22 March, 2024 Paper notification: 19 April, 2024 Camera-ready deadline: 26 April, 2024 Conference: 25-27 June 2024 Submission Guidelines: Authors should follow the LNCS format (https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…) and submit their manuscripts in pdf via Easychair (https://easychair.org/conferences/?conf=nldb2024) Papers can be submitted to either the main conference or the industry track. Submissions can be full papers (up to 15 pages including references and appendices), short papers (up to 11 pages including references and appendices) or papers for a poster presentation or system demonstration (6 pages including references). The program committee may decide to accept some full papers as short papers or poster papers. All questions about submissions should be emailed to federico.torrielli(a)unito.it (Web & Publicity Chair) General Chairs: Luigi Di Caro, University of Turin Farid Meziane, University of Derby Amon Rapp, University of Turin Vijayan Sugumaran, Oakland University

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CfP: VarDial 2024 and Shared Tasks
by Yves Scherrer 21 Feb '24

21 Feb '24

VarDial 2024, the eleventh workshop on NLP for similar languages, varieties and dialects, will be held in conjunction with NAACL in Mexico City, on June 20/21, 2024. We welcome papers dealing with one or more of the following topics: - Corpora, resources, and tools for similar languages, varieties and dialects; - Adaptation of tools (taggers, parsers) for similar languages, varieties and dialects; - Evaluation of language resources and tools when applied to language varieties; - Reusability of language resources in NLP applications (e.g., for machine translation, POS tagging, syntactic parsing, etc.); - Corpus-driven studies in dialectology and language variation; - Computational approaches to mutual intelligibility between dialects and similar languages; - Automatic identification of lexical variation; - Automatic classification of language varieties; - Text similarity and adaptation between language varieties; - Linguistic issues in the adaptation of language resources and tools (e.g., semantic discrepancies, lexical gaps, false friends); - Machine translation between closely related languages, language varieties and dialects. In addition to the topics listed above, we also welcome papers dealing with diachronic language variation (e.g. phylogenetic methods, historical dialects). Paper submission deadline: March 10, 2024 (AoE) Details: https://sites.google.com/view/vardial-2024/call-for-papers The VarDial workshop has a history of hosting well-attended shared tasks on various dialects and languages. In 2024, we organize the two following tasks: 1. The DIALECT-COPA shared task on dialectal causal commonsense reasoning This shared task invites the community to propose, develop, and test approaches for adapting models for causal commonsense language understanding to three dialects of South-Slavic languages: the Slovenian Cerkno dialect, the Croatian Chakavian dialect, and the Serbian, Macedonian and Bulgarian Torlak dialect. Training and development data based on the COPA (Choice of plausible alternatives, Roemmele et al. 2011) dataset are available for four related standard languages (Slovenian, Croatian, Serbian, Macedonian) and two out of the three testing dialects (Cerkno, Torlak), the Chakavian dialect serving as a surprise dialect. 2. DSL-ML - Multi-label classification of similar languages The DSL-ML task is a multi-label extension of the classic "Discriminating similar languages" task that has been popular with VarDial since the beginnings of the workshop. The motivation behind this new task formulation is that some texts do not present any linguistic markers to unambiguously determine their origin. It therefore makes sense to predict several possible labels for such texts. The 2024 DSL-ML task is based on multi-label conversions of existing datasets from five different macro-languages: English, Spanish, Portuguese, French and BCMS (Bosnian, Croatian, Montenegrin, Serbian). Test results submission deadline: March 11, 2024 (AoE) System description paper submission deadline: March 24, 2024 (AoE) Registration: https://forms.gle/UcLYcPgDFJoiAVip7 Details: https://sites.google.com/view/vardial-2024/shared-tasks

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