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CFP - SIGIR 2024 Workshop on eCommerce
by Surya Kallumadi 01 Mar '24

01 Mar '24

Call For Papers - SIGIR eCom'24 - https://sigir-ecom.github.io/ The SIGIR Workshop on eCommerce will serve as a platform for publication and discussion of Information Retrieval, NLP and Vision research relative to their applications in the domain of eCommerce. This workshop will bring together practitioners and researchers from academia and industry to discuss the challenges and approaches to product search and recommendation in eCommerce. The deadline for paper submission is April 25, 2024 (11:59 P.M. AoE) The special theme of this year's workshop is eCommerce Search in the Age of Generative AI and LLMs. The workshop will also include a data challenge. This year we will collaborate with TREC on a product search data challenge ( https://trec-product-search.github.io/index.html). The overarching goal is to study how end-to-end retrieval systems can be built and evaluated given a large set of products. The data challenge provides a corpus of products and a set of user intents (queries): the goal is to find the product that suits the user’s needs. SIGIR eCom is a full day workshop taking place on Thursday, July 18, 2024 in conjunction with SIGIR 2024. SIGIR eCom'24 will be an in-person workshop. ________________ Important Dates: Paper submission deadline - April 25, 2024 (11:59 P.M. AoE) Notification of acceptance - May 23, 2024 Camera Ready Version of Papers Due - June 24, 2024 SIGIR eCom Full day Workshop - July 18, 2024 We invite quality research contributions, position and opinion papers addressing relevant challenges in the domain of eCommerce. We invite submission of both papers and posters. All submitted papers and posters will be single-blind and will be peer reviewed by an international program committee of researchers of high repute. Accepted submissions will be presented at the workshop. Topics: Topics of interest include, but are not limited to: - eCommerce search in the age of Generative AI and LLMs (2024 special theme) - Ranking and Whole Page Relevance - Optimization for IR and business metrics - Diversity in product search and recommendations - Relevance models for multi-faceted entities - Relevance vs. revenue - Deterministic sorts (e.g. price low to high) - Temporal dynamics and seasonality - Query and Document Understanding - Query intent, query suggestions, and auto-completion - Strategies for resolving low or zero recall queries - Converting across modalities (e.g., text, structured data, images) - Categorization and facets - Reviews and sentiment analysis - Recommendation and Personalization - Personalization & contextualization, including the use of personal facets such as age, gender, location - Privacy, bias and ethics in eCommerce IR - Blending recommendations and search results - Representations and Data - Semantic representation of products, queries, and customers - Construction and use of knowledge graphs for eCommerce - IR Fundamentals for eCommerce - Unified and universal search and recommendations - Cross-lingual search and machine translation - Indexing and search in rapidly changing environments (e.g., auction sites) - Experimentation techniques including AB testing and multi-armed bandits - Visual Search in ecommerce - Large-scale Visual Search Challenges and Solutions - Multimodal Search and combining visual and textual information - Combining Vision and language models - Explainable AI for Visual Search - Other challenges - Trust, transparency, and fairness in eCommerce - UX for eCommerce - The role of search in trust and security for marketplaces - Question answering and chatbots for eCommerce Data/Resource Track: In order to promote academic research in the eCommerce domain, we plan to accept a small number of high quality dataset contributions. These submissions should be accompanied by a clear and detailed description of the dataset, some potential questions and applications that arise from it. Preliminary empirical investigations conveying any insight about the data will increase the quality of the submission. Submission Instructions: All papers will be peer reviewed (single-blind) by the program committee and judged by their relevance to the workshop, especially to the main themes identified above, and their potential to generate discussion. Submissions must describe work that is not previously published, not accepted for publication elsewhere, and not currently under review elsewhere. All submissions must be in English. The workshop follows a single-blind reviewing process, i.e. author names must be on the papers. We do not accept anonymized submissions. At least one of the authors of each accepted paper must register for the workshop and present the paper. All submissions must be in PDF formatted according to the latest CEUR single column format; the short (8-page) and long (15-page) limits are extended to account for this. For instructions and LaTeX/Overleaf/docx templates, see: https://ceur-ws.org/HOWTOSUBMIT.html#CEURART Read up to and including the “License footnote in paper PDFs” section. Please Use Emphasizing Capitalized Style for Paper Titles. Submit your paper PDF through the SIGIR eCom’24 Easychair: https://easychair.org/conferences/?conf=sigirecom24 Long paper limit: 15 pages. References are not counted in the page limit. Short paper limit: 8 pages. References are not counted in the page limit. The deadline for paper submission is April 25, 2024 (11:59 P.M. AoE) https://sigir-ecom.github.io/

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CFP: DHOW: Diffusion of Harmful Content on Online Web Workshop
by Gautam Kishore Shahi 01 Mar '24

01 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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Call for Papers: 2024 IEEE ICEBE: The IEEE International Conference on e-Business Engineering
by fiona.li.lucky＠gmail.com 29 Feb '24

29 Feb '24

Call for Papers: 2024 IEEE ICEBE: The IEEE International Conference on e-Business Engineering Dates: 11 - 13 October 2024 Venue: Shanghai, China Conference URL: https://conferences.computer.org/icebe/2024/index.html The IEEE International Conference on e-Business Engineering (ICEBE) is a prestigious conference, and a flagship event co-sponsored by IEEE Technical Committee on Business Informatics and Systems (TCBIS, formerly known as TC on Electronic Commerce), and the National Engineering Laboratory for E-Commerce Technologies (NELECT). Since 2003, ICEBE has been provided as a high-quality international forum for researchers, engineers and business specialists to exchange the cutting-edge ideas, findings and experiences of e-business. New IT breakthrough always brings the evolution of e-business in wide spectrum, e.g. innovative business model, new marketing and sales channel, rapid sense-and-response, etc. How to adapt the changing computing paradigm and adopt new IT technologies for keeping competitive is a great challenge for modern enterprises. Based on the essential complexities in e-business, ICEBE 2024 invites an extensive coverage of system, software, service, business, combinations of the aforementioned, etc. to address related issues and promote research opportunities. All of the accepted and presented papers in the conference will be included in the conference proceedings published by IEEE Computer Society. The proceedings will be submitted for inclusion in the IEEE Xplore Digital Library and will also be submitted to EI and INSPEC for indexing. The best quality papers presented in the conference will be selected and invited for journal special issues by creating an extended version. We invite submissions of high-quality papers describing fully developed results or on-going foundational and applied work on the various tracks. Important Date: Abstract Due: 12 June 2024 Full Paper Due: 15 June 2024 Notification Due: 31 July 2024 Camera-Ready Due: 07 August 2024 Registration Due: 09 August 2024 Conference start: 11 October 2024 Technical Tracks Agent Big Data/Machine Learning Internet of Things(IoTs) Mobile and Autonomous Computing Security, Privacy and Blockchain Service-Oriented and Cloud Software Engineering ECommerce Trading Technologies Diversity, Accessibility and Inclusivity Steering Committee Jen-Yao Chung, Inventec Corportation (USA) Kwei-Jay Lin, Universaity of California, Irvine (USA) Yinsheng Li, Fudan University (China) Liangzhao Zeng, Apple Inc. (USA) Kuo-Ming Chao, University of Roehampton (UK) Zhiyuan Fang, Sun Yat-sen University (China) Shang-Pin Ma, National Taiwan Ocean University (Taiwan) Omar Hussain, University of New South Wales (Australia) Qingyao Wu, South China University of Technology (China) Jingzhi Guo, University of Macua (China) Feng Tian, Xi'An Jiaotong University (China) Lihong Jiang, Shanghai Jiao Tong University (China) Nan Jiang, Bournemouth University (UK)

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Call for Papers: 2024 IEEE ICEBE: The IEEE International Conference on e-Business Engineering
by wei li 29 Feb '24

29 Feb '24

*Call for Papers: 2024 IEEE ICEBE: The IEEE International Conference on e-Business Engineering* *Dates*: 11 - 13 October 2024 *Venue*: Shanghai, China *Conference URL*: https://conferences.computer.org/icebe/2024/index.html The IEEE International Conference on e-Business Engineering (ICEBE) is a prestigious conference, and a flagship event co-sponsored by IEEE Technical Committee on Business Informatics and Systems <https://tc.computer.org/tcbis/> (TCBIS, formerly known as TC on Electronic Commerce), and the National Engineering Laboratory for E-Commerce Technologies (NELECT) <http://www.nelect.cn/>. Since 2003, ICEBE has been provided as a high-quality international forum for researchers, engineers and business specialists to exchange the cutting-edge ideas, findings and experiences of e-business. New IT breakthrough always brings the evolution of e-business in wide spectrum, e.g. innovative business model, new marketing and sales channel, rapid sense-and-response, etc. How to adapt the changing computing paradigm and adopt new IT technologies for keeping competitive is a great challenge for modern enterprises. Based on the essential complexities in e-business, ICEBE 2024 invites an extensive coverage of system, software, service, business, combinations of the aforementioned, etc. to address related issues and promote research opportunities. All of the accepted and presented papers in the conference will be included in the conference proceedings published by IEEE Computer Society <https://www.computer.org/>. The proceedings will be submitted for inclusion in the IEEE Xplore Digital Library and will also be submitted to EI and INSPEC for indexing. The best quality papers presented in the conference will be selected and invited for journal special issues by creating an extended version. We invite submissions of high-quality papers describing fully developed results or on-going foundational and applied work on the various tracks. *Important Date:* Abstract Due: 12 June 2024 Full Paper Due: 15 June 2024 Notification Due: 31 July 2024 Camera-Ready Due: 07 August 2024 Registration Due: 09 August 2024 Conference start: 11 October 2024 *Technical Tracks* Agent Big Data/Machine Learning Internet of Things(IoTs) Mobile and Autonomous Computing Security, Privacy and Blockchain Service-Oriented and Cloud Software Engineering ECommerce Trading Technologies Diversity, Accessibility and Inclusivity *Steering Committee* Jen-Yao Chung, Inventec Corportation (USA) Kwei-Jay Lin, Universaity of California, Irvine (USA) Yinsheng Li, Fudan University (China) Liangzhao Zeng, Apple Inc. (USA) Kuo-Ming Chao, University of Roehampton (UK) Zhiyuan Fang, Sun Yat-sen University (China) Shang-Pin Ma, National Taiwan Ocean University (Taiwan) Omar Hussain, University of New South Wales (Australia) Qingyao Wu, South China University of Technology (China) Jingzhi Guo, University of Macua (China) Feng Tian, Xi'An Jiaotong University (China) Lihong Jiang, Shanghai Jiao Tong University (China) Nan Jiang, Bournemouth University (UK)

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CLEF-2024 CheckThat! Lab -- Call for Participation (training set available for all tasks)
by Firoj Alam 29 Feb '24

29 Feb '24

(apologies for cross-posting) Dear colleague, Once again, we invite you to participate in the 2024 edition of the CheckThat! Lab at CLEF 2024. This year, we feature six tasks ---two follow-up and four new--- that correspond to important components within and around the full fact-checking pipeline in multiple languages: Task 1 Check-worthiness in tweets. to identify claims that could be important to verify on social- and mainstream media. Available in Arabic, English, Dutch and Spanish. Task 2 Subjectivity in news articles. to spot text that should be processed with specific strategies; benefiting the fact-checking pipeline. Available in Arabic, English, German, Italian, and Multilingual. Task 3 Persuasion Techniques. to identify text spans in which a persuasion technique is being issued to influence the reader. This task is offered in four languages: Arabic, Bulgarian, English, Portuguese and Slovene. Task 4 Detecting hero, villain, and victim from memes. Detecting hero, villain, and victim from memes:} to predict the role of each entity: hero, villain, victim, or other in a given meme and a list of entities. Available in Arabic, English and Code-mixed. Task 5 Rumor Verification using Evidence from Authorities. to retrieve evidence from trusted sources (authorities that have “real knowledge'' on the matter) and determine if the rumor is supported, refuted, or unverifiable according to the evidence. Available in Arabic and English. Task 6 Robustness of Credibility Assessment with Adversarial Examples. to discover small changes that could be applied to the misinformation text, causing the provided classifiers to make wrong predictions. Available for news articles, tweets, propaganda techniques and claims (including regarding COVID-19) in English. Further information: https://checkthat.gitlab.io/ Datasets: https://gitlab.com/checkthat_lab/clef2024-checkthat-lab <https://gitlab.com/checkthat_lab/clef2023-checkthat-lab> Register and participate: https://clef2024-labs-registration.dei.unipd.it/registrationForm.php <https://clef2023-labs-registration.dei.unipd.it/registrationForm.php> Important Dates --------------------- - 22 April 2024: Lab registration closes - 2 May 2024: Beginning of the evaluation cycle (test sets release) - 6 May 2024 (23:59 AOE): End of the evaluation cycle (run submission) - 31 May 2024: Deadline for the submission of working notes - 10 June 2024: Submission of Condensed Lab Overviews [LNCS] - 21 June 2024: Camera Ready Copy of Condensed Lab Overviews [LNCS] due - 24 June 2024: Notification of acceptance of working notes - 8 July 2024: Deadline for submission of camera-ready working notes - 22-26 July 2024: Preview of working notes - 9-12 September 2024: CLEF 2024 Conference in Grenoble, France Best regards, The CLEF-2024 CheckThat! Lab Shared Task Organizers

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[3rd CfP]: CALD-pseudo workshop @ EACL 2024
by Elena Volodina 29 Feb '24

29 Feb '24

Third Call for Papers: CALD-pseudo workshop on Computational Approaches to Language Data Pseudonymization @ EACL 2024, March 21 or 22, 2024 Website: https://mormor-karl.github.io/events/CALD-pseudo/ Submission website: https://softconf.com/eacl2024/CALD-pseudo-2024/ Submission Deadline: Monday, 18 December 2023 (anywhere on earth) We invite submissions to the first edition of the CALD-pseudo workshop on Computational Approaches to Language Data Pseudonymization, to be held at EACL 2024 on March 21 or 22, 2024. [Important Dates] * December 18, 2023: paper submission deadline * January 17, 2024: resubmission of already pre-reviewed ARR papers * January 20, 2024: notification of acceptance * January, 30 2024: camera-ready papers due * March 21 or 22, 2024: workshop date (the date to be confirmed by the EACL) [Introduction] Accessibility of research data is critical for advances in many research fields, but textual data often cannot be shared due to the personal and sensitive information which it contains, e.g names, political opinions, sensitive personal information and medical data. General Data Protection Regulation, GDPR (EU Commission, 2016), suggests pseudonymization as a solution to secure open access to research data but we need to learn more about pseudonymization as an approach before adopting it for manipulation of research data (Volodina et al., 2023). The main challenge is how to effectively pseudonymize data so that individuals cannot be identified, while at the same time keeping the data usable for research in, among others, computational linguistics, linguistics and natural language processing, for which it was collected. [Topics of Interest] CALD-pseudo workshop invites a broad community of researchers in all concerned cross-disciplinary fields to jointly discuss challenges within pseudonymization, such as * automatic approaches to detection and labelling of personal information in unstructured language data, including events and other context-dependent cues revealing a person; * developing context-sensitive algorithms for replacement of personal information in unstructured data; * studies into the effects of pseudonymization on unstructured data, e.g. applicability of pseudonymised data for the intended research questions, readability of pseudonymised data or addition of unwelcome biases through pseudonymization; * effectiveness of pseudonymization as a way of protecting writer identity; * reidentification studies; e.g. adversarial learning techniques that attempt to breach the privacy protections of pseudonymized data; * constructing datasets for automatic pseudonymization, including methodological and ethical aspects of those; * approaches to the evaluation of automatic pseudonymization both in concealing the private information and preserving the semantics of the non-personal data; * pseudonymization tools and software: evaluating the available tools and software for pseudonymization in different languages, and their ease of use, scalability, and performance; * and numerous other open questions. [Submission Guidelines] Authors are invited to submit by December 18, 2023 original and unpublished research papers in the following categories: * Full papers (up to 8 pages) for substantial contributions * Short papers (up to 4 pages) for ongoing or preliminary work All submissions must be in PDF format, must follow the EACL 2024 guidelines described in the ARR CfP (https://aclrollingreview.org/cfp), and use the official ACL style templates available here: https://github.com/acl-org/acl-style-files Direct submission deadline: December 18, 2023 at https://softconf.com/eacl2024/CALD-pseudo-2024/ Deadline for registration of ARR reviewed papers: January 17, 2023. (Further instructions will follow.) We also invite authors of papers on the topics of the workshop accepted to Findings to reach out to the organizing committee of CALD-pseudo to present them at the workshop. [Invited speakers] We are happy to announce that the workshop will host two invited speakers: * Anders Søgaard, University of Copenhagen, Denmark * Ildikó Pilán, the Norwegian Computing Center, Norway [Workshop Organizers] * Elena Volodina, University of Gothenburg, Sweden * Therese Lindström Tiedemann, University of Helsinki, Finland * Simon Dobnik, University of Gothenburg, Sweden * Xuan-Son Vu, Umeå university, Sweden [Program Committee] A list of program committee members is available on the workshop website. [Contact] For inquiries, please contact mormor.karl(a)svenska.gu.se ACL link to the call: https://www.aclweb.org/portal/content/computational-approaches-language-dat… ___________________ Elena Volodina, PhD, Docent https://spraakbanken.gu.se/en/about/staff/elena Life is like a mirror. Smile at it and it smiles back at you. Peace Pilgrim

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2nd CfPs 17th Workshop on Graph-based Natural Language Processing (TextGraphs 2024)
by Yanjun Gao 29 Feb '24

29 Feb '24

2nd Call for Papers: 17th Workshop on Graph-based Natural Language Processing (TextGraphs 2024) Venue: ACL 2024 Location: Bangkok, Thailand Date: August 15, 2024 Papers Due: May 7, 2024 Website: https://sites.google.com/view/textgraphs2024 Workshop Description For the past seventeen years, the workshops in the TextGraphs series have published and promoted the synergy between the field of Graph Theory (GT) and Natural Language Processing (NLP). The mix between the two started small, with graph-theoretical frameworks providing efficient and elegant solutions for NLP applications. Graph-based solutions initially focused on single-document part-of-speech tagging, word sense disambiguation, and semantic role labeling. They became progressively larger to include ontology learning and information extraction from large text collections. Nowadays, graph-based solutions also target Web-scale applications such as information propagation in social networks, rumor proliferation, e-reputation, multiple entity detection, language dynamics learning, and future events prediction, to name a few. We plan to encourage the description of novel NLP problems or applications that have emerged in recent years, which can be enhanced with existing and new graph-based methods. We widen the workshop topics beyond the familiar graph domain, encompassing a broader range of less examined structured data domains as well. The seventeenth edition of the TextGraphs workshop aims to extend the focus on exploring rising topics of large language models (LLMs) prompting from the unique perspective of GT. Therefore, our workshop aims to foster stronger, mutually advantageous connections between NLP and structured data, tackling key challenges inherent in each field. This year's TextGraphs workshop will feature a dedicated session to commemorate the memory of Dragomir R. Radev, one of the founders of the TextGraphs workshop series. This session will honor his significant work and contributions to the field. TextGraphs-17 invites submissions on (but not limited to) the following topics: 1. Knowledge Graphs Meet LLMs. A proper utilization of graph-based methods for reasoning over a Knowledge Graph (KG) is a prospective way to overcome critical limitations of the existing LLMs which lack interpretability and factual knowledge and are prone to the hallucination problem. Vice versa, the incorporation of LLM knowledge learnt from large textual collections may help many graph-related tasks, such as KG completion and graph representation learning. Thus, we are highly interested in novel research on the joint use of KG and LLM for an improved processing of either the NLP or graph domain (preferably both). 2. Chain Prompting of LLMs. Recent studies show that prompting strategies like Chain-of-Thought and Graph-of-Thought enhance language understanding and generation tasks compared to the traditional few-shot methods. We welcome submissions developing advanced prompting schemes and software for LLMs and other pre-trained machine learning models. 3. Learning from Structured Data. We greet novel efforts to build a bridge between NLP and various structured data formats including relational and non-relational databases, as well as standardized data formats (such as XML, JSON, RDF, etc.) 4. Interpretability of NLP Systems. The question of interpretability poses a fundamental challenge for the practical application of NLP methods. We invite researchers to adopt structured data and employ graph-based methods to shed light on decision-making and logic behind modern LLMs. Any work on applying a KG or any other structured knowledge to explore and evaluate factual awareness, treating the interpretability problem from the GT perspective, or any other topic that utilizes graphs and other structured data to make LLMs more understandable, is met with appreciation. Important dates - Papers due: May 7, 2024 - Notification of acceptance: June 15, 2024 - Camera-ready papers due: July 1, 2024 - Conference date: August 15, 2024 Submission We invite submissions of up to eight (8) pages maximum, plus bibliography for long papers and four (4) pages, plus bibliography, for short papers. The ACL 2024 templates must be used; these are provided in LaTeX and also Microsoft Word format. Submissions will only be accepted in PDF format. This year, TextGraph submission is managed through OpenReview. Submit papers by the end of the deadline day (timezone is UTC-12; AoE) via the submission link on our site: https://openreview.net/group?id=aclweb.org/ACL/2024/Workshop/TextGraphs-17<https://openreview.net/group?id=aclweb.org/ACL/2024/Workshop/TextGraphs-17#…> Shared Task We invite participation in the task of Knowledge Graph Question Answering (KGQA). We will ask the participants to analyze candidate answers with text and graph features. For each query-answer candidate, a graph characterizing paths in Wikidata from entity from the query to the answer entity will be given. Please find the shared task github in this link: https://github.com/uhh-lt/TextGraphs17-shared-task Contact Please direct all questions and inquiries to our official e-mail address (textgraphsOC(a)gmail.com<mailto:textgraphsOC@gmail.com>) or contact any of the organizers via their individual emails. Also you can join us on Facebook: https://www.facebook.com/groups/900711756665369. Organizers - Dmitry Ustalov, JetBrains - Arti Ramesh, Binghamton University - Alexander Panchenko, Skolkovo Institute of Science and Technology - Yanjun Gao, University of Wisconsin-Madison - Andrey Sakhovskiy, Skolkovo Institute of Science and Technology - Elena Tutubalina, Artificial Intelligence Research Institute - Gerald Penn, University of Toronto - Marco Valentino, Idiap Research Institute

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Webminar by Smaranda Muresan (Columbia University)
by HiTZ zentroa 29 Feb '24

29 Feb '24

**** We apologize for the multiple copies of this email. In case you are already registered to the next webinar, you do not need to register again. **** Dear colleague, We are happy to announce the next webinar in the Language Technology webinar series organized by the HiTZ research center (Basque Center for Language Technology, http://hitz.eus). You can check the videos of previous webinars and the schedule for upcoming webinars here: http://www.hitz.eus/webinars Next webinar: Speaker: Smaranda Muresan (Columbia University) Title: Human-centric NLP: From Argumentation to Creativity Date: March 7, 2024 - 15:00 CET Summary: Abstract: Large language models (LLMs) constitute a paradigm shift in Natural Language Processing (NLP) and its applications across all domains. Models such as ChatGPT seem to possess human-like abilities --- reasoning about problems, passing bar exams, writing stories. But do they? In trying to answer this question, I will discuss three main desiderata for building human-centric NLP systems: knowledge-aware models, human-AI collaboration frameworks, and theoretically-grounded evaluation protocols. In this talk, I will use argumentation and creativity as two case studies. I will cover knowledge-aware models for implicit premise generation, human-AI collaboration framework for high-quality datasets creation (e.g., visual metaphors) and helping human solve tasks (e.g., writing short stories), and last but not least a novel evaluation protocol for assessing the creative capabilities of LLMs in both producing as well as assessing creative text. Bio: Smaranda Muresan is a Research Scientist at the Data Science Institute at Columbia University, a Visiting Associate Professor at Barnard College and an Amazon Scholar. Her research focuses on human-centric Natural Language Processing for social good and responsible computing. She develops theory-guided and knowledge-aware computational models for understanding and generating language in context (e.g., visual, social, multilingual, multicultural) with applications to computational social science, education, and public health. Research topics that she worked on over the years include: argument mining and generation, fact-checking and misinformation detection, figurative language understanding and generation (e.g., sarcasm, metaphor, idioms), and multilingual language processing for low-resource and endangered languages. Recently, her research interests include explainable models and human-AI collaboration frameworks for high-quality datasets creation. She received best papers awards at SIGDIAL 2017 and ACL 2018 (short paper). She served as a board member for the North American Chapter of the Association for Computational Linguistics Upcoming webinars: Ralf Schlüter (May 2, 2024) Marco Baroni (June 6, 2024) Check past and upcoming webinars at the following url: http://www.hitz.eus/webinars If you are interested in participating, please complete this registration form: http://www.hitz.eus/webinar_izenematea If you cannot attend this seminar, but you want to be informed of the following HiTZ webinars, please complete this registration form instead: http://www.hitz.eus/webinar_info Best wishes, HiTZ Zentroa P.S:HiTZ will not grant any type of certificate for attendance at these webinars.

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Reminder of the Call for Bids: LDK 2025
by Dagmar Gromann 29 Feb '24

29 Feb '24

Dear all, this is a quick reminder that the call for bids to locally organize LDK 2025 is still open. Please do not hesitate to contact us should you have any questions. Kind regards, Jorge Gracia Dagmar Gromann ========================== CALL FOR BIDS: LDK 2025 ========================== The Scientific Advisory Board of the Language, Data and Knowledge Conferences (LDK SAC) welcomes bids from organisers for the 5th Language, Data and Knowledge Conference in 2025. Proposals should consider the following criteria: Expected date: Summer 2025 (typically in September); Expected size: About 150 onsite participants; Accessible by international travel; Affordable accommodation for participants; The event is expected to be a 2-day conference with at least one additional day of workshops; Program chairs and proceedings chairs will be selected by the LDK SAC and work in close collaboration with the local organisers; Website hosting is provided by the University of Galway in line with the LDK SAC charter; The conference will most probably take place in hybrid mode. Funding for the conference should be covered by the registration fees. However, complementary support by other grants, projects, institutions or sponsorships by companies and other organisations is also welcome (if this is the case, it should be indicated in the application). The application should include a budget draft covering the following: Room hire covering a large lecture theatre for the main conference and 5-6 smaller rooms for the workshop day(s); Coffee breaks (and optionally lunch); One conference dinner; Poster session hall; Refreshments for a poster session (optional); Travel and accommodation for approx. 3 invited speakers; Marketing and material costs; Other dissemination expenses; Technical and administrative support costs, if any. The application should include a short CV of the local organiser/s, emphasising any previous experience in the organisation of scientific events, and a short description of the venue, highlighting any technical and administrative support that the host institution can provide. Please send your applications to Dagmar Gromann <dagmar.gromann(a)univie.ac.at <mailto:dagmar.gromann@univie.ac.at>> and Jorge Gracia <jogracia(a)unizar.es <mailto:jogracia@unizar.es>> by March 31st, 2024.

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The 47th German Conference on Artificial Intelligence 2024 Würzburg
by janna.omeliyanenko＠gmail.com 29 Feb '24

29 Feb '24

KI 2024 The 47th German Conference on Artificial Intelligence Würzburg, September 25-27, 2024 https://www.informatik.uni-wuerzburg.de/ki24/ ****************************************************** KI 2024 is the 47th edition of the German Conference on Artificial Intelligence (abbreviated KI for "Künstliche Intelligenz") organized in cooperation with the Fachbereich Künstliche Intelligenz of Gesellschaft für Informatik (GI-SIG AI). The German AI Conference basically started approx. 48 years ago with the first GI-SIG AI meeting on Oct. 7, 1975 (see the archive of GI-SIG AI). KI is one of the major European AI conferences and traditionally brings together academic and industrial researchers from all areas of AI, providing an ideal venue for exchanging news and research results on theory and applications. The technical program of KI 2024 comprises paper presentations as well as tutorials and workshops. Please find the detailed scope of the conference and submission information in the Call for Papers. Conference website: https://www.informatik.uni-wuerzburg.de/ki24/ Call for Paper: https://www.informatik.uni-wuerzburg.de/ki24/submissions/call-for-papers/ Organization: https://www.informatik.uni-wuerzburg.de/ki24/organization/ Submission: https://easychair.org/conferences/?conf=ki2024 Further calls (Doctoral Consortium, Workshops/Tutorials) will be added soon and announced separately. Important Dates =============== April 15, 2024: Workshop/Tutorial proposals April 20, 2024: Abstract submission April 27, 2024: Full paper submission September 23,24, 2024: KI workshops, tutorials, jointly with LWDA September 25-27, 2024: Main conference Organization ============ Prof. Dr. Andreas Hotho, University of Würzburg, Germany (PC chair) Prof. Dr. Sebastian Rudolph, TU Dresden, Germany (PC chair)

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