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[CFP] NLDB 2024 - The 29th International Conference on Natural Language & Information Systems - Submissions Open - Fourth Call [CFP]
by Federico Torrielli 06 Mar '24

06 Mar '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 Modelsand 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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Survey on, Sound Change
by Mattis List 06 Mar '24

06 Mar '24

Dear Colleagues, You are invited to participate in a short ~5 minute survey on sound change. We are an interdisciplinary team of researchers interested in understanding the current views of prominent scholars on the process of sound change. To better understand views that may be commonly held but rarely written down, we have created a short ~5 minute survey aimed at targeting several long-standing debates in our field. Should you choose to provide additional explanation in optional text boxes, the survey may take a few minutes longer. Your responses will help develop an understanding of how common different positions are regarding these major debates, how much disagreement exists, and what factors predict respondents’ positions on specific issues. To reach a wide range of scholars, thus covering the diverse opinions across our field, we are forwarding an invitation to participate in our research through this server list so that anyone who wishes to can decide to participate. The survey contains both fixed responses and open responses that allow you to express your views in more detail if you wish. Should you decide to participate, as a thank you for your time, you can go in the draw to win one of 10 $50 Amazon gift vouchers. You are welcome to request a summary of our findings by emailing q.atkinson(a)auckland.ac.nz. To participate, follow this link to the survey: https://auckland.au1.qualtrics.com/jfe/form/SV_e2jzEXLrG6zk3qu Please feel free to forward this email on to colleagues who may also be interested in participating. Thanks! If you have any questions or issues with the survey, please contact our staff at q.atkinson(a)auckland.ac.nz. Best wishes to all, Quentin Atkinson Remco Bouckaert Jordan Douglas Russell Gray Mattis List Mary Walworth Approved by the University of Auckland Human Participants Ethics Committee on 10/10/2023 for three years. Reference Number: UAHPEC26714.

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[CfP] 2nd Call for Papers on TermTrends @ MDTT24: Models and Best Practices for Terminology Representation in the Semantic Web
by Patricia Martín Chozas 06 Mar '24

06 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/ *Submission: 15th March* *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 Dates15 March 2024* - 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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Postdoc / Research Engineer position in Computational Social Sciences (18 months, Paris region)
by Thierry Poibeau 06 Mar '24

06 Mar '24

Dear Colleagues, The Lattice Lab in Montrouge (Ecole normale supérieure-PSL & CNRS) is recruiting a Postdoc / Research Engineer in Computational Social Sciences, for 18 months beginning in April 2024 or soon thereafter. See here for details: https://euraxess.ec.europa.eu/jobs/200537 We are looking for a strong candidate with relevant first publications in the domain, and with a good knowledge of natural language techniques / LLMs (and/or willing to develop new NLP techniques, of course). The post is related to the ANR Medialex project (https://anr.fr/Projet-ANR-21-CE38-0016), on the mutual influence between the medias (including social medias) and the political sphere (esp. debates at the Parliament). Some command of French is necessary, but it does not need to be your main language. To apply, please send me an email with a few words about your interest for the job, a detailed CV, one relevant publication and the name of two referees. All the best, Thierry

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PhD position in Low-Resource NLP & Modeling of Language Learning, University of Groningen
by Bisazza, A. 05 Mar '24

05 Mar '24

Applications are invited for a 4-year salaried PhD position within the research project “Polyglot Machines: Human-like Learning of Morphologically Rich Languages”, financed by a NWO-VIDI Talent Grant and coordinated by Principal Investigator (PI) dr. Arianna Bisazza. This is an interdisciplinary project at the intersection of Computational Linguistics/Natural Language Processing (NLP), Computational Psycholinguistics and Language Acquisition. Despite the impressive advances made possible by neural networks, current NLP systems are still far from displaying the learning abilities of humans in many languages. This project aims to improve language modeling for low-resource morphologically rich languages, taking inspiration from child language acquisition insights. Among other methodologies, an artificial language learning paradigm will be used to simulate the learning of typologically diverse languages and evaluate the effect of known properties of child-directed language on the acquisition of morphology and other language aspects. Other possible research directions include: the design of better input segmentation methods; language acquisition inspired curriculum learning; and leveraging existing language resources (like dictionaries or morphological analyzers) to boost the learning process in very low-resource settings. This PhD position offers a unique opportunity to acquire valuable research experience in an international environment: You will be part of the Computational Linguistics group <https://www.rug.nl/research/clcg/research/cl/?lang=en> (@ GroNLP <https://twitter.com/GroNlp>), which is part of the Centre for Language and Cognition of the University of Groningen (CLCG). Main requirement: A Master’s degree in computational linguistics, artificial intelligence, computer science, information science, or related area. Find more details and apply here by 11 March 2024: https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-0… Starting date: September 2024 For questions about the position: A. Bisazza a.bisazza(a)rug.nl (do not use email for applications) -- Arianna Bisazza Associate Professor University of Groningen http://www.cs.rug.nl/~bisazza

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2nd Workshop on Eye Movements and the Assessment of Reading Comprehension
by Yevgeni Berzak 05 Mar '24

05 Mar '24

We are pleased to invite abstract submissions to the *2nd Workshop on Eye Movements and the Assessment of Reading Comprehension* scheduled to take place on June 20–22 in Zürich, Switzerland. 1. Workshop theme: Effective and widely available reading assessments are fundamental for education, and instrumental for early diagnosis of reading difficulties, enabling timely and targeted intervention. In this workshop, we explore how eye-tracking and machine learning technologies can enhance reading assessments. Our goal is to bring together researchers from various relevant fields, including educational science, cognitive psychology and psycholinguistics, eye-tracking-based reading research, and machine learning. The workshop will provide a platform for exchanging ideas for the next generation of reading assessments aided by eye-tracking and machine learning technologies, as well as inspiring cross-disciplinary research collaborations. 2. Workshop format: The formal part of the workshop will span two days, featuring a structured program with talks, posters, and discussions. An optional third day is dedicated to more casual exchanges, with the opportunity to engage in open conversations during a leisurely hike or a picnic. 3. Relevant topics for submission: - Methodology and design of reading assessments, including large scale reading assessments (LSAs) - Reading assessments for different populations (e.g. children, adults, elderly, populations with cognitive impairments) - Reading development - Cognitive processes underlying reading comprehension - Eye movements as indicators of reading comprehension - Machine learning approaches to reading assessment 4. Submissions: - We invite submissions of short abstracts of up to 350 words. - To submit your abstract, please fill in this abstract submission form: https://forms.gle/RKRLhJsYKgc3pNQy8 - Submission format is plain text (optionally markdown). - Submissions will be reviewed by the workshop organizers, primarily with an eye to relevance for the workshop's theme. - We expect to accept 25–35 submissions. 5. Important Dates: - Paper submission deadline: April 1st, 2024 - Acceptance notification: April 19th, 2024 - Workshop date: June 20–22, 2024 6. Keynote speakers 1. Jean-François Rouet (Université de Poitiers) 2. t.b.d. 7. Funding: The workshop is sponsored by the MultiplEYE COST Action ( https://multipleye.eu), which will provide financial support for covering travel expenses to a limited number of participants. Authors will be invited to apply for travel funding upon abstract acceptance. Funding may be partial and priority will be given to junior researchers. We look forward to your submissions and active participation. Best regards, The workshop organizers: Lena Jäger (University of Zurich) Yevgeni Berzak (Technion - Israel Institute of Technology) Titus von der Malsburg (University of Stuttgart) Workshop homepage: https://multipleye.eu/workshop-on-eye-movements-and-assessment-of-reading-c…

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Albertina 1.5B + Gervásio 7B: collection of LLMs for Portuguese expanded
by Antonio Branco 05 Mar '24

05 Mar '24

Good day, This is to announce the expansion of the collection of open Large Language Models (LLMs) for the Portuguese language with the following models: - the family of *encoders* is enlarged with the new *_Albertina 1.5B_ *https://huggingface.co/PORTULAN/albertina-1b5-portuguese-ptpt-encoder - the family of *decoders* has now _*Gervásio 7B*_ https://huggingface.co/PORTULAN/gervasio-7b-portuguese-ptpt-decoder This ecosystem encompasses now over ten LLMs that were specifically developed for the Portuguese language, covering both its European variant, spoken in Portugal (PTPT), and its American variant, spoken in Brazil (PTBR), and that can be run on consumer-grade hardware. The Albertina family includes encoders with *100M*, *900M* and *1.5B* parameters. The Gervásio family, in turn, integrates a decoder with *7B* parameters. All these models are *fully open*, being open source and openly distributed, for free and with no registration required, under an open license, including for research and commercial purposes. They are also *fully documented*, thus including reports also on their evaluation scores, which indicate they are top performing solutions for fully open models of their class for Portuguese. These models, their companion datasets and their documentation, for both PTPT and PTBR, can all be found at https://huggingface.co/PORTULAN Regards, António Branco University of Lisbon NLX Natural Language and Speech Group Faculdade de Ciências, Departamento de Informática

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CFP: DHOW: Diffusion of Harmful Content on Online Web Workshop
by Gautam Kishore Shahi 05 Mar '24

05 Mar '24

The 1st Workshop on DHOW: Diffusion of Harmful Content on Online Web Workshop The workshop will be conducted in a *hybrid* format to ensure maximum participation, accommodating attendees both *online* and in person. Submission deadline: extended to *March 22 2024 AOE* *Workshop site*: https://dhow-workshop.github.io/ *Co-located with WebSci 2024* https://websci24.org/ <https://lrec-coling-2024.org/> Stuttgart, Germany, 21-24 May 2024 *Important Dates* Submission deadline: extended to *March 22, 2024* Notification of acceptance: April 12, 2024 Camera-ready papers due: April 22, 2024 Workshop date: May 21, 2024 *Workshop Description* With the advancement of digital technologies and gadgets, online content is easily accessible. At the same time, harmful content also gets spread. There are different harmful content available on different platforms in multiple languages. The topic of harmful content is broad and covers multiple research directions. But from the user’s aspect, they are affected by them all. Often, it is studied individually, like misinformation and hate speech. Research has been done on one platform, monolingual, on a particular issue. It leads to harmful content spreaders switching platforms and languages to reach the user base. Harmful is not limited to social media but also news media. Spreader shares harmful content in posts, news articles, comments, and hyperlinks. So, there is a need to study the harmful content by combining cross-platform, language, multimodal data and topics. We will bring the research on harmful content under one umbrella so that research on different topics (hate speech, misinformation, disinformation, self-harm, offensive content, etc.) can bring some novel methods and recommendations for users, leveraging text analysis with image, audio, and video recognition to detect harmful content in diverse formats. The workshop will cover the ongoing issue of war or elections in 2024. We believe this workshop will provide a unique opportunity for researchers and practitioners to exchange ideas, share latest developments, and collaborate on addressing the challenges associated with harmful contents spread across the Web. We expect that the workshop will generate insights and discussions that will help advance the field of societal artificial intelligence (AI) for the development of safer internet. In addition to attracting high quality research contributions to the workshop, one of the aims of the workshop is to mobilise the researchers working on the related areas to form a community. *Submissions Topics* - Analysis of different types of harmful content(fake news, misinformation, hate speech) - Computational fact-checking - Role of Generative AI in Mitigating Harmful Content - Identifying harassment/bullying/hate speech, and misinformation/disinformation - Role of Explainable AI in Studying Harmful Content - Multi-modal harmful content (fake news, misinformation, hate speech) - Deepfake and its influence - Multi-lingual harmful content like Hate speech, Fake News, Bot, spam, troll detection *Submissions* - Submission Instructions: https://dhow-workshop.github.io/#call - Submission Link: https://easychair.org/conferences/?conf=dhow2024 * Workshop organizers* - Thomas Mandl (University of Hildesheim, Germany) - Haiming Liu (University of Southampton, United Kingdom) - Gautam Kishore Shahi (University of Duisburg-Essen, Germany) - Amit Kumar Jaiswal (University of Surrey, United Kingdom ) - Luis-Daniel Ibáñez (University of Southampton, United Kingdom) - Durgesh Nandini (University of Bayreuth, Germany) Organisers, DHOW 2024 Web: DHOW <https://websci24.org/workshops-and-tutorials/>

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Invitation to Shared Task 4 #SMM4H: Extraction of the clinical and social impacts of nonmedical substance use from Reddit
by Sudeshna Das 05 Mar '24

05 Mar '24

============================= *Invitation to Shared Task 4 #SMM4H: Extraction of the clinical and social impacts of nonmedical substance use from Reddit* ============================= Substance use, both prescription and illicit, has become a significant public health concern, leading to addiction, overdose, and associated health issues. Understanding the clinical impacts and social impacts of nonmedical substance use is essential for improving the treatment of substance use disorder. In this Named Entity Recognition (NER) task, we focus on two entity types: clinical impacts and social impacts. Instances in the clinical impacts category describe the clinical effects, consequences, or impacts of substance use on individuals' health. Instances the social impacts describe the societal, interpersonal, or community-level effects, consequences, or impacts of nonmedical substance use. Systems designed for this task need to detect these impacts and automatically distinguish between clinical impacts and social impacts in text data derived from Reddit. We anticipate that the strategies will involve leveraging Large Language Models (LLMs). Participating teams have the opportunity to submit a short system description paper for the SMM4H proceedings. The 9th Social Media Mining for Health Research and Applications Workshop (SMM4H) is co-located with ACL 2024, to be held in Bangkok, Thailand. Website: https://healthlanguageprocessing.org/smm4h-2024/ You can find more details on SMM4H Shared Task 4 on Codalab: https://codalab.lisn.upsaclay.fr/competitions/16648 Registration Form: https://docs.google.com/forms/d/e/1FAIpQLSet9w5zqlaZMZVuPqvW2GnBYTs5_NUjU4r… ------ *Important Dates* ------ Training data available: Jan 10, 2024 CodaLab Available: Jan 17, 2024 Test data available: Apr 17, 2024 Evaluation end: Apr 24, 2024 System description paper due: May 17, 2024 Paper acceptance notification: June 17, 2024 Camera-ready papers due: July 1, 2024 Workshop in Bangkok, Thailand (co-located with ACL 2024): August 15, 2024 (hybrid event, online presentation will be available) *All deadlines are 11:59 PM UTC (3:59 PM PST). No extension will be provided.* ------ *Organizers of Shared Task 4* ------ Abeed Sarker, Emory University, USA Yao Ge, Emory University, USA Swati Rajwal, Emory University, USA Sudeshna Das, Emory University, USA *Questions on Shared Task 4 may be addressed to Yao Ge, Emory University, USA (yao.ge(a)emory.edu <yao.ge(a)emory.edu>)*

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Deadline extended: ALL 4 Health workshop on LLMs in LMICs for Healthcare
by David Tresner-Kirsch 05 Mar '24

05 Mar '24

Dear Colleagues, (please forward) We invite you to submit your research and perspectives to ALL 4 Health 2024 – The First Workshop on Applying LLMs in LMICs for Healthcare Solutions. Submission Deadline: March 21st, 2024 (extended from March 1st) Website: https://www.nivi.io/all4health Contact: all-4-health(a)googlegroups.com ALL 4 Health will be held at the University of Florida on June 3rd in conjunction with the IEEE International Conference on Healthcare Informatics <https://ieeeichi2024.github.io/> (ICHI 2024 <https://ieeeichi2024.github.io/>). There has been substantial and growing interest and funding from the development sector in applying Large Language Model (LLM) technologies in Low- and Middle-Income Countries (LMICs) to address healthcare and other social good challenges.[1] Simultaneously, there have been acknowledgements from the software industry and from NLP researchers that state of the art LLMs are heavily influenced by Western / developed world data and have significant capability gaps between high- and low-resource languages.[2,3,4] Additional research and collaboration is required to bridge this gap. The goal of this workshop is to bring together researchers and practitioners from diverse disciplinary backgrounds to discuss challenges and opportunities for applying LLMs for health applications in low-resource settings, and to share findings on gaps, pitfalls, best practices, and opportunities for impact. We invite novel approaches, works in progress, comparative analyses of tools, and advancing state-of-the-art work relevant to applying LLMs for health applications in low-resource languages and settings. Specific topics of interest include, but are not limited to: * Evaluations of LLMs in contexts with substantial code-switching * Comparisons of LLM accuracy/suitability between high- and low-resource languages * Approaches to localizing the health information processing of LLMs in the context of the laws, culture, service availability, and public health realities in specific LMICs * Data sources for training or tuning LLMs for use on low-resource languages or in LMIC contexts * Studies demonstrating the health or health knowledge impact of LLM applications in low-resource language and/or LMIC contexts * Equity- and Diversity-based evaluations of LLM performance on health domain tasks * Evidence-based position papers on best practices We will accept full papers (4-6 pages, including references) and abstracts (2 pages, including references). Full papers will be eligible for a Best Paper Award with a $300 (USD) prize sponsored by MSD for Mothers <https://www.msdformothers.com/>. Please see https://www.nivi.io/all4health for further information including submission instructions. Best wishes, The ALL 4 Health organizing committee all-4-health(a)googlegroups.com https://www.nivi.io/all4health References: 1. R. Shrivastava. “Gates Foundation Funds Nearly 50 Generative AI Projects In Low And Middle Income Countries.” Forbes, 10 August 2023, https://www.forbes.com/sites/rashishrivastava/2023/08/10/gates-foundation-f… 2. Viet Dac Lai, et al. "Chatgpt beyond english: Towards a comprehensive evaluation of large language models in multilingual learning. <https://arxiv.org/abs/2304.05613>" arXiv preprint arXiv:2304.05613 (2023). 3. J. Dodge, et al. "Documenting large webtext corpora: A case study on the colossal clean crawled corpus. <https://arxiv.org/abs/2104.08758>" arXiv preprint arXiv:2104.08758 (2021). 4. N.R. Robertson, et al. "ChatGPT MT: Competitive for High- (but not Low-) Resource Languages. <https://arxiv.org/abs/2309.07423>" arXiv preprint arxiv:2309.07423 (2023).

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