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DIPROMATS 2023 CFP: detection and characterization of political propaganda
by Julio Gonzalo 23 Mar '23

23 Mar '23

*** DIPROMATS 2023 Call for participation *** A challenge on the automatic detection and characterization of propaganda techniques in public messages from diplomats and authorities from USA, China, EU and Russia https://sites.google.com/view/dipromats2023 <https://sites.google.com/view/dipromats2023?authuser=0> We are glad to invite you to participate in DIPROMATS 2023, the shared task on propaganda detection at the Iberian Languages Evaluation Forum (IberLEF 2023) Unlike fake news, the detection of propaganda in news and social media has not attracted so much attention from journalists, fact-checkers, or scholars. In our view, this hinders the endeavors against hostile and manipulative information. The deceiving intent of propaganda may be more subtle and devious than disinformation; its content does not have to be false, and its effects may be only discernible through systematic observation over time. As a means by which certain ideas and actions propagate, propaganda involves rhetorical techniques to improve replication. This task proposes a specific approach to detect those techniques based on the language employed by official authorities on Twitter. The corpus provided for the task encompasses tweets in Spanish and English from diplomats of four different international actors: China, Russia, United States, and the European Union. The authorities collected include government accounts, embassies, ambassadors, and other diplomatic profiles such as consuls and missions. This shared task challenges participants to classify tweets according to the following two tasks: Task 1: propaganda identification: The first subtask is a binary classification problem. The systems must decide whether a given tweet contains propaganda techniques. Task 2 & 3: propaganda characterization: The second subtask aims to categorize the type of propaganda. The proposed categorization considers multiple techniques identified in literature that are clustered according to their rhetorical features. We propose a multiclass, multilabel classification task, where systems have to decide, for each tweet, in which of the available categories it fits. The proposed typology can be found here. Evaluation will consider a coarse grain categorization (Task 2) with four classes of propaganda (plus the negative class), and a fine-grained categorization (task 3) with 15 subclasses (plus the negative class). We encourage participation from both academic institutions and industrial organizations. To participate in the task, please fill the registration form at https://sites.google.com/view/dipromats2023/registration <https://sites.google.com/view/dipromats2023/registration?authuser=0> Important Dates: * Registration opens: January 30th, 2023 * Training data released: March 23th, 2023 * Test set release: April 11th, 2023 * Deadline for submitting runs: April 25th, 2023 * Release of evaluation results: May 9th, 2023 * Paper submission deadline: May 30th, 2023 * Camera-ready submissions for organizers: July 6th, 2023 * IberLEF Workshop: September 27, 2023, together with SEPLN 2023 Organizers: Pablo Moral, Universidad Nacional de Educación a Distancia (UNED) Guillermo Marco, Universidad Nacional de Educación a Distancia (UNED) Julio Gonzalo, Universidad Nacional de Educación a Distancia (UNED) Contact: If you have any questions or need more information, please do not hesitate to contact us at dipromats(a)lsi.uned.es

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EACL 2023 Call for Diversity & Inclusion Subsidies
by Spandana 23 Mar '23

23 Mar '23

*Overview* EACL 2023 is providing D&I funds for registration, travel/accommodation, caregiving, bandwidth and VPN subsidies. The grants are intended for individuals for whom attending the conference would cause a financial burden or create risks to their safety or privacy. Please apply by 27th March 2023 (2 weeks before the early registration deadline) at https://forms.gle/RqAGjjEjwdvnEqBv7. This call is also available online: https://2023.eacl.org/calls/d-i-subsidies Registration subsidies This is for getting a waiver for EACL registration. If you haven’t already registered for an *ACL in 2023, you would also need to pay the ACL membership registration fee, e.g. $100 for regular. You can also request for ACL membership if that’s applicable. Note that if you are applying for a registration fee waiver, it is expected that you DO NOT register for the conference until you hear from us about your D&I subsidy application. That way, you would not have to ask for a reimbursement, since you would not be charged in the first place. We strongly encourage folks to apply for a volunteership program in order to maximize their chances for getting their registration fees waived. Travel subsidies and pre-paid accommodation We have a limited number of pre-paid accommodation available. These are shared double-rooms in the conference hotel. Please list any special requirements in your application form. We also have a limited budget allocated to support international travel. Please make sure to outline how you will benefit from in-person attendance at this stage of your career. Caregiving and accessibility subsidies We can reimburse caregiving purchases that you need for the conferences. You need to provide receipts for your purchases. These can be babysitting, transportation costs, or other support required for yourself or your dependents, which would ease your participation. If you need any personal or technical assistance to access and navigate the conference due to a disability, we can reimburse you for the cost of it. This holds for example if you need assistance in using the platform for online participation due to a visual impairment. We acknowledge that accessibility needs are highly individual to each participant, so please feel free to reach out to us with any issues you might face in this regard. Bandwidth and VPN subsidies We can reimburse bandwidth or VPN purchases that you need for the conferences. You need to provide receipts for your purchases. Bandwidth subsidies would be for high-speed internet access costs for the duration of the conference only. VPN generally does not cost more than 10 USD per month and could be applied towards participation if you need anonymity to participate completely (for example, for queer folks who might need this for extra security depending on where they live). Selection Criteria Applicants for the subsidy program will be evaluated based on the material they submit in their application packages. Preference will be given to applicants who are presenting a paper in the main conference, the Student Research Workshop, or any of the workshops associated with EACL 2023, and who do not have other means of support. Preferences will be given to residents of under-represented regions and members of marginalized communities (as detailed in the application form). Instructions Applicants for the D&I subsidy Program should fill the application form at: https://forms.gle/RqAGjjEjwdvnEqBv7. *Application deadline:* 27th March 2023 (anywhere on earth) – 2 weeks before the early registration deadline. *Notification of acceptance:* 3rd April 2023 – 1 week before the early registration deadline We aim to send all notifications by the deadline above. However, we will start processing the applications as they come and you may be contacted earlier. *Contact Information* The co-chairs of the Diversity and Inclusion committee can be contacted by email at: eacl2023_div_incl(a)hw.ac.uk

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Second CfP: Guarani-Spanish code switching analysis - GUA-SPA at IberLEF 2023
by luischir＠fing.edu.uy 23 Mar '23

23 Mar '23

(apologies for cross posting) *** Second Call for Participation for GUA-SPA at IberLEF 2023 *** GUA-SPA - Guarani-Spanish Code Switching Analysis at IberLEF 2023 News: The training dataset has just been released, and you can send submissions to the development phase! https://codalab.lisn.upsaclay.fr/competitions/11030 Guarani is a South American indigenous language that has been in contact with Spanish and other Indo-European languages for about 500 years, which has resulted in many interesting varieties with different levels of mixture. In Paraguay, according to the most recent census, most of the population of the country speak at least some Guarani, and there is a high prevalence of Guarani-Spanish bilingualism. Bilingual speakers often make use of the two languages at the same time, mixing them in different ways, in a phenomenon called code-switching. We propose a challenge for analyzing code-switched texts in Guarani and Spanish, trying to identify the language used in each span of text, the named entities mentioned in the text, and the way Spanish is used. For this, we will provide a corpus of news and tweets where each token is labeled with an appropriate language or category identifier. Three tasks are presented: * Language identification in code-switched data: identify each token in the text as Guarani, Spanish, mix, named entity, or other categories. * Named entity classification: classify the named entities found in the text as locations, organizations or people. * Spanish code classification: classify the spans in Spanish as code changes or unadapted loans. How to participate: If you want to participate in this task, please join our Codalab competition: https://codalab.lisn.upsaclay.fr/competitions/11030 Important Dates: * March 22nd, 2023: training and development set. Development phase begins. * May 24th, 2023: test set and open for submissions. Evaluation phase begins. * June 7th, 2023: evaluation phase ends. Publication of results. * June 14th, 2023: paper submission. * June 28th, 2023: notification of acceptance. * July 3rd, 2023: camera-ready paper submission. * September 26th, 2023: IberLEF 2023 Workshop.

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Second Call for Task Proposals: PAN 2023 "Profiling Cryptocurrency Influencers with Few-shot Learning"
by mara.chinea＠symanto.com 23 Mar '23

23 Mar '23

Apologies for cross-posting. ---------------------------------------- We kindly invite you to participate at the Pan-2023 Task 2 - “Profiling Cryptocurrency Influencers with Few-Shot Learning”. This task is being held as part of CLEF 2023, and all participating teams will be able to publish their system description paper at the CLEF proceedings. This shared task focuses on the author profiling of cryptocurrency influencers in social media from a low-resource perspective, that is, with little training data. Moreover, we propose to profile types of influencers also using a low-resource setting. Specifically, we focus on English Twitter posts for three different sub-tasks: • Low-resource influencer profiling (subtask-1): profile authors according to their degree of influence (null, nano, micro, macro, mega). • Low-resource influencer interest profiling (subtask-2): profile authors according to their main interests or areas of influence (technical information, price update, trading matters, gaming, other). • Low-resource influencer intent profiling (subtask-3): profile authors according to the intent of their messages (subjective opinion, financial information, advertising, announcement). Important Links • Task Website - https://pan.webis.de/clef23/pan23-web/author-profiling.html • Dataset site - https://zenodo.org/record/7701748#.ZBxxrnbMKiM Important Dates • February 20, 2023: Training data ready • May 10, 2023: Early bird software submission phase (optional) • May 29, 2023: Software submission deadline • June 05, 2023: Participant paper submission • September 18-21, 2023: Conference Task organizers • Francisco Rangel (Symanto) • Mara Chinea-Rios (Symanto) - Contact Email: mara.chinea(a)symanto.com • Marc Franco-Salvador (Symanto) • Paolo Rosso (Universidad Politécnica de Valencia) Please reach out to the organizers at crypto-influencers-pan-organizers(a)googlegroups.com, or join the Slack workspace (https://pan2023profil-0q48349.slack.com) to connect with the other participants and organizers.

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Lecturer in Computational Linguistics, University of Manchester
by Colin Bannard 23 Mar '23

23 Mar '23

The University of Manchester is hiring a Lecturer (UK equivalent to Assistant Professor) in Computational Linguistics, to be based in the Department of Linguistics and English Language. It is a permanent post. Applications are welcome from people working in all areas of Natural Language Processing. More information on the position and how to apply can be found here: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=24945 The closing date for applications is April 24th 2023. Best, Colin

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[meetings] Call for Participation: Communication in Human-AI Interaction" (CHAI) Workshop @Interact 2023
by Marta Romeo 23 Mar '23

23 Mar '23

This full-day "Communication in Human-AI Interaction" (CHAI) workshop welcomes submissions of position papers (8 pages maximum in Springer LNCS format). The workshop will be held as part of the *INTERACT 23 conference* (Aug 28 - Sep 1, York, UK and online, https://interact2023.org/). It will be organized as an interactive work group event, including a design activity and group discussions. Important dates and links * Paper deadline: April 28, 2023 AoE * Notification: May 19, 2023 * Workshop date: between August 28 and September 1, 2023 (TBD) * Workshop website:https://chai-workshop.github.io/ * Submission website:https://easychair.org/conferences/?conf=chai23 *Goal and topics:* Human interactions with AI systems are becoming part of our everyday life. If designed and developed efficiently, these interactions have great potential to enhance human work, abilities, and well-being. Communication, here is the iterative process of establishing shared meaning, is a crucial aspect of successful interaction and has been studied for years, from HCI, AI, and cognitive sciences points of view, among others. The goal of this workshop is to bring together experts from HCI, AI, and Cognitive Sciences to explore and understand the specificities and characteristics of communication in human-AI interactions, as well as the salient principles, methods, and theories one has to consider to build meaningful human-AI communication systems. Topics of interest include but are not limited to: * Blended social contexts, comprising both human and technological communication * Communication in multi-user interaction with intelligent agents * Verbal and non-verbal human-AI communication * Explicit and implicit human-AI communication * Rules of etiquette and social norms in human-AI communication * Communication in human-AI collaboration * Human-AI communication design * Language and communication * Theory of Mind * Common ground * Inclusion and Diversity in Human-AI Communication * Embodied multi-modal communication between humans and physical robots *Format:* The workshop will be a one-day event, envisioned as a collaborative thinking group activity focusing on the challenges surrounding Communication in Human-AI Interaction. The workshop aims at being interactive and will consist of two main parts. First, participants will be invited to collaborate on a design activity. For this activity, participants will be grouped as best as possible by topics and each group will be given the same challenge: analyzing and suggesting a solution to an HAI communication problem. At the end of the activity, each group will report on their solution. Second, we will have group discussions in two phases, for which groups will be shuffled to be cross-disciplinary. Each group will be given a separate topic. The goal of each group will be to identify common interests, open questions, and challenges related to this topic. The groups are shuffled between phases, and participants are encouraged to build on top of the previous groups’ discussion. Each discussion phase will be followed by a quick report of each group. The day will end by a longer plenary discussion during which we will also outline the after-workshop steps. The design activity problem and the discussion topics will be chosen following participants submissions so that they align with the expertise and interest of the workshop participants. By the end of the workshop, we expect to be as close as possible to a common agreement about an outline for the coordinated research agenda, including key points to explore further. Post-workshop, the results will be communicated to a larger audience through various activities, to be synchronized with the participants. *Submission Requirements:* We welcome interested participants to submit position papers stating existing work, conceptual design, or their position with respect to the workshop topics. The submission should also include one or two points of discussion that the participant would like to address during the workshop. Submissions should be made through EasyChair ( https://easychair.org/conferences/?conf=chai23) and be formatted according to the Springer LNCS format, templates available for LaTeX and Word, maximum 8 pages. We strongly encourage authors of position papers to follow the SIGCHI accessibility guidelines. Workshop organizers Jennifer Renoux, Örebro University, Sweden Jasmin Grosinger, Örebro University, Sweden Marta Romeo, Heriot-Watt University, UK Victor Kaptelinin, Umeå University, Sweden Antti Oulasvirta, Aalto University, Finland Contact information Workshop website:https://chai-workshop.github.io/ For inquiries about the workshop, please contact: jennifer.renoux(a)oru.se

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Call-for-Participation: 1st GANs Task @ ImageCLEF 2023 (Synthetic Medical Images)
by Bogdan Ionescu 23 Mar '23

23 Mar '23

[Apologies for multiple postings] ImageCLEFmedicalGANs (1st edition) Registration: https://www.imageclef.org/2023/medical/gans Run submission: May 10, 2023 Working notes submission: June 5, 2023 CLEF 2023 conference: September 18-21, Thessaloniki, Greece *** CALL FOR PARTICIPATION *** The task is focused on examining the existing hypothesis that GANs are generating medical images that contain the "fingerprints" of the real images used for generative network training. If the hypothesis is correct, artificial biomedical images may be subject to the same sharing and usage limitations as real sensitive medical data. On the other hand, if the hypothesis is wrong, GANs may be potentially used to create rich datasets of biomedical images that are free of ethical and privacy regulations. The participants will test the hypothesis by solving one or several tasks related to the detection of relations between real and artificial biomedical image datasets. *** TASK *** Given a set of real-world medical images comprising 2D axial CT image slices of the heart (including the middle sections and adjacent slices) of patients afflicted with lung #tuberculosis, the task challenges participants to develop #machinelearning solutions to automatically determine which real images were used in training the generator of realistic synthetic examples. *** DATA SET *** The image datasets comprise 2D axial CT image slices of the heart, including the middle sections of the heart and adjacent slices. These images are obtained from patients afflicted with Lung Tuberculosis and are stored in the form of 8 bit/pixel PNG images with dimensions of 256x256 pixels. The development dataset comprises three distinct sets of images. One set contains images that were generated using a GAN, while the other two sets are comprised of real images. The first of these real image sets contains images that were used during the algorithm's training process. The second set consists of real images that were not used during the training process. Test dataset is a collection of two image sets. The first set contains 10,000 images that have been generated, while the second set is made up of a combination of 200 real images that were either used or unused during the training process. *** IMPORTANT DATES *** - Run submission: May 10, 2023 - Working notes submission: June 5, 2023 - CLEF 2023 conference: September 18-21, Thessaloniki, Greece (https://clef2023.clef-initiative.eu/) *** OVERALL COORDINATION *** Serge Kozlovski, Belarusian Academy of Sciences, Belarus Vassili Kovalev, Belarusian Academy of Sciences, Belarus Ihar Filipovich, Belarus State University, Belarus Alexandra Andrei, Politehnica University of Bucharest, Romania Ioan Coman, Politehnica University of Bucharest, Romania Bogdan Ionescu, Politehnica University of Bucharest, Romania Henning Müller, University of Applied Sciences Western Switzerland, Switzerland *** ACKNOWLEDGEMENT *** Alexandra Andrei, Ioan Coman, Bogdan Ionescu, and Henning Müller contribution is supported under the H2020 AI4Media "A European Excellence Centre for Media, Society and Democracy" project, contract #951911 https://www.ai4media.eu/. On behalf of the Organizers, Bogdan Ionescu https://www.AIMultimediaLab.ro/

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Workshop on Language Corpora in Australia -- 3 July 2023 (online, via Zoom)
by li.nguyen＠anu.edu.au 23 Mar '23

23 Mar '23

3 July 2023 (online, via Zoom) Organisers: Catherine Travis & Li Nguyen (ANU; Language Data Commons of Australia (LDaCA)) Over decades of work in Australia, significant collections of language data have been amassed, including of varieties of Australian English, Australian migrant languages, Australian Indigenous languages, sign languages and others. These collections represent a trove of knowledge not only of language in Australia, but also of Australia’s social and cultural history. And yet, not all are well known and many lack published descriptions. The purpose of this workshop is to provide an opportunity to share information about existing language corpora in Australia, with a view to producing a special issue of the Australian Journal of Linguistics that introduces a selection of these corpora, explores how they can contribute to our understanding of language, society, and history in Australia, and considers avenues that such corpora open up for future research. This workshop is being run as part of the Language Data Commons of Australia (LDaCA), which is working to build national research infrastructure for the Humanities and Social Sciences, facilitating access to and use of digital language corpora for linguists, scholars across the Humanities and Social Sciences, and non-academics. Abstract submission For a 20 min presentation, please submit a 250-300 word abstract in English (excluding references). The presentation should include the following information: · Speech community/fieldsite: Describe the location of the community and/or their brief history in Australia, the languages spoken and their current status. · Corpus design principles: Specify the sample size, sociolinguistic background of the participants, method of data collection and/or genre (e.g. sociolinguistic interviews, natural conversations, oral histories, elicited data, etc.); data format (written/spoken/audio/video, etc.) and where it is stored. · Corpus findings and implications: Summarise some key findings from the corpus and discuss other insights that might be obtained from the data in current or future work. Important dates 22 May Abstracts due 5 June Notification of acceptance 3 July Workshop How to Submit: Please submit your abstract by 22 May on https://forms.gle/1pwxVVmUV5hCCZ997 Inquiries: Please contact either Catherine Travis or Li Nguyen

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Training set released! IberLEF 2023 Task - FinancES. Financial Targeted Sentiment Analysis in Spanish
by Rafael Valencia Garcia 23 Mar '23

23 Mar '23

CALL FOR PARTICIPATION IBERLEF 2023 Task - FinancES. Financial Targeted Sentiment Analysis in Spanish Training set released! Held as part of iberLEF 2023 <https://sites.google.com/view/iberlef-2023>, a shared evaluation campaign for Natural Language Processing (NLP) systems in Spanish and other Iberian languages September 26th 2023, Jaen Codalab link: https://codalab.lisn.upsaclay.fr/competitions/10052 Dear All, We are inviting researchers and students to participate in the shared-task FinancES. Financial Targeted Sentiment Analysis in Spanish held as part of iberLEF 2023, shared evaluation campaign for Natural Language Processing (NLP) systems in Spanish and other Iberian languages. This shared task aims to explore targeted sentiment analysis in the financial domain. Specifically, the approach adopted here is grounded in the field of microeconomics. In this regard, Bowles (2004) explains the role of economic agents, that is to say, individuals or organizations impacting the economy. The author states that the main microeconomic agents in the capital market are consumers (households/individuals), companies (firms), governments, and central banks. Consequently, in order to develop a sentiment analysis method where different viewpoints are considered, three different perspectives are included: (1) economic target of the news item; (2) individual economic agent: companies; and (3) individual economic agent: consumers –the target is the sector where the economic fact applies, and companies produce the goods and services that households/individuals consume. From these three viewpoints, the news item has an impact on the target and the economic agents which are considered as positive, negative, or neutral. With all, two tasks are proposed. On the one hand, a task combining the challenges of aspect-term extraction for identifying the target entity in text, and aspect-based sentiment classification for determining the sentiment polarity towards the target. On the other hand, a task devoted to assessing the impact of a news headline on both other economic agents, namely, companies and consumers. The participants will be provided development, development_test, training and test datasets in Spanish. The dataset for this task is composed of news headlines written in Spanish collected from digital newspapers specialized in economic, financial and political news. The dataset is labeled with the target entity and the sentiment polarity on three dimensions: target, companies, and consumers. That is, given a headline, it has been manually classified as positive, neutral, or negative for three specific entities: (1) target entity (i.e., the specific company or asset where the economic fact applies), (2) companies (i.e., the entities producing the goods and services that others consume), and (3) consumers (i.e., households/individuals). Each headline was annotated by three members of the organization committee. In case of disagreement, the annotators discussed the special case and, if no agreement was reached, the headline was discarded. During this first step, we compiled about 14k headlines, the headlines with a short length or those that did not specify a target entity were filtered out. The final dataset is composed of 8k-10k news headlines. For the shared tasks, training and test sets will be released (80%-20%). Today, we have released the training dataset that can be found in the "Files" subsection of the "Participate" tab. It is worth mentioning that this dataset includes all the instances that were also released during the Practice stage; so, it is not needed to combine both datasets. Finally, remember that the CodaLab competition is open to submit your results with the development dataset provided. This dataset is also available in the same section as the training dataset. Best regards, The FinancES 2023 organizing committee References - Bowles, S. (2004). Microeconomics: Behavior, institutions, and evolution. Princeton University Press. Important dates - Release of development corpora: Feb 13, 2023 - Release of training corpora: Mar 13, 2023 - Release of test corpora and start of evaluation campaign: Apr 17, 2023 - End of evaluation campaign (deadline for runs submission): May 3, 2023 - Publication of official results: May 5, 2023 - Paper submission: May 28, 2023 - Review notification: Jun 16, 2023 - Camera ready submission: Jul 6, 2023 - IberLEF Workshop (SEPLN 2023): Sep 26, 2023 - Publication of proceedings: Sep ??, 2023 Organizing committee - José Antonio García-Díaz (UMUTeam,, Universidad de Murcia) - Ángela Almela Sánchez-Lafuente (UMUTeam, Universidad de Murcia) - Francisco García-Sánchez (UMUTeam, Universidad de Murcia) - Gema Alcaraz-Mármol (UMUTeam, Universidad de Castilla La Mancha) - María José Marín (UMUTeam, Universidad de Murcia) - Rafael Valencia-García (UMUTeam, Universidad de Murcia)

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PhD Position in Conversational AI / NLP in St. Gallen, Switzerland
by Niklaus, ChristinaMarianne 23 Mar '23

23 Mar '23

The Chair of Data Science and Natural Language Processing (Prof. Siegfried Handschuh) invites applications for a PhD position as part of the recently granted Swiss National Science Foundation (SNF) research project "Conversational AI: Dialogue-based Adaptive Argumentative Writing Support". You will contribute to its successful implementation, as well as the chair's varied activities in teaching and outreach. Our research at the Data Science and NLP Chair at ICS-HSG focuses on the cutting-edge field of Natural Language Processing (NLP) and Natural Language Understanding (NLU). Our group delves into various aspects, including conversational AI, Large Language Models (LLM), intricate language analysis, Knowledge Graphs and more. Utilising sophisticated methods and algorithms, we aim to extract deeper knowledge and understanding from vast amounts of textual and auditory data. Our research not only delves into the core principles of NLP but also explores its practical applications across various industries. Details of the post and how to apply: https://bit.ly/phd_conversational_ai HSG: PhD in Conversational AI (m/f/d)<https://bit.ly/phd_conversational_ai> You have a university-level master degree in Computer Science, Computational Linguistics, Data Science or related disciplines. You have a strong background in Machine Learning and Natural Language Processing; knowledge of Deep Learning architectures (e.g., Transformer, BERT) and frameworks (e.g., PyTorch, Tensorflow) is a plus. You have good programming skills in Python. Desirable qualifications include one or more of the following areas: Chatbots, Argument Mining and Text Generation. You have excellent written and verbal communication skills in English. You have a strong analytical, structured and independent working style, as well as first experience in writing scientific papers. bit.ly -- Prof. Dr. Siegfried Handschuh Full Professor of Data Science and Natural Language Processing Director, Institute of Computer Science University of St.Gallen E-mail: siegfried.handschuh(a)unisg.ch

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