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PhD position on AI/NLP/IR at the University of Amsterdam
by Jaap Kamps 10 Apr '24

10 Apr '24

The University of Amsterdam has a fully funded PhD position on AI/NLP/IR for information access. We seek an ambitious PhD student with a background in artificial intelligence, natural language processing and information retrieval. Your focus will be on large language models (LLMs) for information access. How can we search specific collections, including full text, metadata, and multimodal content? How can we support complex search tasks and practices, such as scholarly research on cultural data, and the research and workflow of investigative journalism? The PhD position is part of four PhD vacancies as part of digital Humanities, Artificial Intelligence, Cultural Heritage (HAICu) project, a large national science agenda project funded by the Netherlands Organization for Scientific Research. We are one of the best European and global places to study AI, and you will work together with other AI and Digital Humanities researchers, and a range of external partners on scientific breakthroughs. HAICu deploys artificial intelligence (AI) to make digital heritage collections more accessible, and the extraordinary challenges of cultural heritage provide a unique opportunity to push the boundaries of AI. The PhD position is fully funded and you will be employed by the University of Amsterdam for four years (full-time, with all employment benefits) and are expected to complete a PhD thesis within this period. Are you interested? Strong candidates with an AI/NLP/IR background are encouraged to apply by May 15. Details are in: https://vacatures.uva.nl/UvA/job/4PhDs/792167402/ (Project #1). Feel free to reach out with questions or comments! Jaap Kamps

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Second CfP: The First Workshop on Data Contamination (CONDA) @ ACL 2024
by Eneko Agirre 10 Apr '24

10 Apr '24

We invite you to participate and submit your work to the First Workshop on Data Contamination (CONDA) co-located with ACL 2024 in Bangkok, Thailand. Data contamination, where evaluation data is inadvertently included in pre-training corpora of large scale models, and language models (LMs) in particular, has become a concern in recent times. The growing scale of both models and data, coupled with massive web crawling, has led to the inclusion of segments from evaluation benchmarks in the pre-training data of LMs. The scale of internet data makes it difficult to prevent this contamination from happening, or even detect when it has happened. Crucially, when evaluation data becomes part of pre-training data, it introduces biases and can artificially inflate the performance of LMs on specific tasks or benchmarks. This poses a challenge for fair and unbiased evaluation of models, as their performance may not accurately reflect their generalization capabilities. Although a growing number of papers and state-of-the-art models mention issues of data contamination, there is no agreed-upon definition or standard methodology to ensure that a model does not report results on contaminated benchmarks. Addressing data contamination is a shared responsibility among researchers, developers, and the broader community. By adopting best practices, increasing transparency, documenting vulnerabilities, and conducting thorough evaluations, we can work towards minimizing the impact of data contamination and ensuring fair and reliable evaluations. We welcome paper submissions on all topics related to data contamination, including but not limited to: * Definitions, taxonomies, and gradings of contamination * Contamination detection (both manual and automatic) * Community efforts to discover, report, and organize contamination events * Documentation frameworks for datasets or models * Methods to avoid data contamination * Methods to forget contaminated data * Scaling laws and contamination * Memorization and contamination * Policies to avoid impact of contamination in publication venues and open source communities * Reproducing and attributing results from previous work to data contamination * Survey work on data contamination research * Data contamination in other modalities *Submission Instructions* We welcome two types of papers: regular workshop papers and non-archival submissions. Regular workshop papers will be included in the workshop proceedings. All submissions must be in PDF format and made through OpenReview. * Regular workshop papers: Authors can submit papers up to 8 pages, with unlimited pages for references. Authors may submit up to 100 MB of supplementary materials separately and their code for reproducibility. All submissions undergo a double-blind single-track review. Best Paper Award(s) will be given based on nomination by the reviewers. Accepted papers will be presented as posters with the possibility of oral presentations. * Non-archival submissions: Cross-submissions are welcome. Accepted papers will be presented at the workshop but not included in the workshop proceedings. Papers must be in PDF format and will be reviewed in a double-blind fashion by workshop reviewers. We also welcome extended abstracts (up to 2 pages) of papers that are work in progress, under review or to be submitted to other venues. Papers in this category need to follow the ACL format. In addition to papers submitted directly to the workshop, which will be reviewed by our Programme Committee. We also accept papers reviewed through ACL Rolling Review and committed to the workshop. Please, check the relevant dates for each type of submission. *Important dates* * Relevant deadlines to consider when submitting your paper are: * Paper submission deadline: May 17 (Friday), 2024 * ARR pre-reviewed commitment deadline: TBD, 2024 * Notification of acceptance: June 17 (Monday), 2024 * Camera-ready paper due: July 1 (Monday), 2024 * Workshop date: August 16, 2024 *Sponsors* * AWS AI and Amazon Bedrock * HuggingFace * Google *Contact* * Website: https://conda-workshop.github.io/ * Email: conda-workshop(a)googlegroups.com *Organizers* Oscar Sainz, University of the Basque Country (UPV/EHU) Iker García Ferrero, University of the Basque Country (UPV/EHU) Eneko Agirre, University of the Basque Country (UPV/EHU) Jon Ander Campos, Cohere Alon Jacovi, Bar Ilan University Yanai Elazar, Allen Institute for Artificial Intelligence and University of Washington Yoav Goldberg, Bar Ilan University and Allen Institute for Artificial Intelligence -- Eneko Agirre HiTZ Hizkuntza Teknologiako Zentroa - Ixa Taldea Centro Vasco de Tecnología de la Lengua - Grupo Ixa Basque Center for Language Technology - Ixa NLP Group University of the Basque Country (UPV/EHU) hitz.ehu.eus/eneko <https://hitz.ehu.eus/eneko>

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Postdoc opening at the University of Vienna
by Benjamin Roth 10 Apr '24

10 Apr '24

The research group Data Mining and Machine Learning at the University of Vienna is looking for a Postdoctoral Researcher in Natural Language Processing. Possible research topics are: - Analysis, explainability and interpretability of large language models - Linguistic capabilities of large language models - Extraction of structured information from text, linking knowledge graphs and language - Weak supervision of natural language processing models - Multimodal and multilingual deep learning For more details see: https://jobs.univie.ac.at/job/Postdoctoral-Researcher-in-Natural-Language-P… -- Univ.-Prof. Dr. Benjamin Roth Digitale Textwissenschaften Universität Wien Kolingasse 14 Raum 5.17 1090 Wien email: benjamin.roth(a)univie.ac.at tel: +43 14277 79513 virtual coffee (Tuesday 2pm CEST): https://www.benjaminroth.net/virtual_coffee video call: https://univienna.zoom.us/j/93796507934?pwd=VFg5dW9JbStPUml6WFVtOWJXV3phQT09 web: https://dm.cs.univie.ac.at/team/person/112089/

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CALL FOR PAPERS: Conference on metaphor and political discourse, November 2024 in Liege Belgium
by Raymond Echitchi 10 Apr '24

10 Apr '24

Dear all Please, find below more information about a conference we are organising. The conference, which will take place on 21-22 November 2024 at the University of Liège (Belgium), is meant for researchers interested in metaphor and national identity discourse from different perspectives (linguistics, cognitive science, etc.). Regards, _____________ CALL FOR PAPERS METAPOL3: DISCOURSE, IDEOLOGIES AND SUB-STATE NATIONALISM 21-22 November 2024, University of Liège, Belgium Despite attempts to discourage sub-state nationalism and keep the political map of the world in its present form, the struggle for separate identities still remains a serious issue in modern-day countries. Sub-state nationalism has led to violent conflicts in postcolonial Africa, the former Yugoslavia and Soviet Union, and has been one of the main causes of political upheaval in Belgium, Britain, Spain, China, etc. As Anderson (1983) indicates, nations are imagined communities whose formation involves the spread of discourses aimed at establishing a clear difference between in-groups and out-groups. While national identity has attracted a fair amount of scholarly interest in the field of political science, it is only in the early 90s that studies emphasizing the discursive manifestations of nationalism started being conducted (Wodak & Matouschek, 1993; Wodak & Reisigl, 1999; Wodak et al. 1999). These last two decades, the study of political discourse has been consolidated by metaphor analysis (Musolff, 2006; 2016; Saric & Stanojevic, 2019), and even though great strides have indeed been made in political discourse analysis, research on sub-state nationalism remains scant. It is thus in an attempt to fill this gap that we are organizing this conference which will hopefully bring together researchers from different fields (linguistics, sociology, political science, cognitive science), interested in discourse, metaphor and nationalist ideologies. Topics of interest include, but are not limited to, - The discursive construction of (sub-state) national identity - Characteristics of separatist discourse - Conceptualisations of the body politic - Metaphor scenarios in national identity discourse - Visual metaphor in (sub-state) nationalist discourse - Gender and metaphor in (sub-state) nationalist discourse - ... KEYNOTE SPEAKER Professor Martin Reisigl, University of Vienna SUBMISSION OF PROPOSALS The conference will be held in person at the University of Liège, Belgium. Each presentation will last 20 minutes, followed by 10 minutes of Q&A. Conference proposals should include: - A title (max. 15 words) - Key words (max. 5 words) - An abstract (300 words, excluding references) Guide for submitting a proposal To submit a proposal, you must create a user account on sciencesconf.org and log in as a registered user. It is possible to create an account either directly on the SciencesConf portal or by clicking on the Login button on top right of the conference website (https://metapol3.sciencesconf.org/). Once connected, access "My submissions" and then go to New submission > Submit an abstract. Individual and co-authored papers in English or French are welcome. All abstracts will go through double-blind peer review. IMPORTANT DATES Submission deadline: 15/05/24 Notification of acceptance: 15/07/24 CONTACT AND MORE INFORMATION For more information, please visit our website (https://metapol3.sciencesconf.org/), and if necessary, do not hesitate to email us at metapol3(a)sciencesconf.org.

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Vacancy: Research Fellow in Clinical Natural Language Processing
by Bea Alex 10 Apr '24

10 Apr '24

The following Research Fellow position is available as part of the Edinburgh Clinical NLP Group and the Advanced Care Research Centre at the University of Edinburgh. The deadline is 19th of April 2024. https://www.jobs.ac.uk/job/DGS698/research-fellow-in-clinical-natural-langu… ---------------------------------------------------------------- Dr. Beatrice Alex Senior Lecturer and Chancellor’s Fellow University of Edinburgh Head of the Edinburgh Language Technology Group Co-lead of the Edinburgh Clinical NLP Group The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. Is e buidheann carthannais a th’ ann an Oilthigh Dhùn Èideann, clàraichte an Alba, àireamh clàraidh SC005336.

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NER Shared Task (Deadline 10 April)
by Mustafa Jarrar 10 Apr '24

10 Apr '24

Registration Deadline 10 April The 2nd Arabic Named Entity Recognition Shared Task, at ArabicNLP’24 https://dlnlp.ai/st/wojood/ Dataset: Wojood-Fine <https://aclanthology.org/2023.arabicnlp-1.25/> New version: Arabic Fine-Grained Entity Recognition (Wojood + Subtypes of entity types). Subtask-1 (Closed-Track Flat Fine-Grain NER): We provide the Wojood-Fine Flat train (70%) and development (10%) datasets. The final evaluation will be on the test set (20%). External data is not allowed .... (read more <https://dlnlp.ai/st/wojood/>). Subtask-2 (Closed-Track Nested Fine-Grain NER): This subtask is similar to the subtask-1, we provide the Wojood-Fine Nested train (70%) and development (10%) datasets. The final evaluation will be on the test set (20%) .... (read more <https://dlnlp.ai/st/wojood/>). Subtask-3 (Open-Track NER - Gaza War): to allow participants to reflect on the utility of NER in the context of real-world events, allow them to use external resources, and encourage them to use generative models in different ways (fine-tuned, zero-shot learning, in-context learning, etc.). The goal of focusing on generative models in this particular subtask is to help the Arabic NLP research community better understand the capabilities and performance gaps of LLMs in information extraction, an area currently understudied. We provide development and test data related to the current War on Gaza. This is motivated by the assumption that discourse about recent global events will involve mentions from different data distribution. For this subtask, we include data from five different news domains related to the War on Gaza - but we keep the names of the domains hidden. Participants will be given a development dataset (10K tokens, 2K from each of the five domains), and a testing dataset (50K tokens, 10K from each domain). Both development and testing sets are manually annotated with fine-grain named entities using the same annotation guidelines used in Subtask1 and Subtask2 (also described in Liqreina et al., 2023). .... (read more <https://dlnlp.ai/st/wojood/>). BASELINES Two baseline models trained on WojoodFine (flat and nested) are provided (See Liqreina et al., 2023 <https://aclanthology.org/2023.arabicnlp-1.25/>). The code used to produce these baselines is available on GitHub <https://github.com/SinaLab/ArabicNER>. Subtask Precision Recall Average Micro-F1 Flat Fine-Grain NER (Subtask 1) 0.8870 0.8966 0.8917 Nested Fine-Grain NER (Subtask 2) 0.9179 0.9279 0.9229 GOOGLE COLAB NOTEBOOKS To allow you to experiment with the baseline, we authored four Google Colab notebooks that demonstrate how to train and evaluate our baseline models. [1] Train Flat Fine-Grain NER <https://gist.github.com/mohammedkhalilia/72c3261734d7715094089bdf4de74b4a>: This notebook can be used to train our ArabicNER model on the flat Fine-grain NER task using the sample Wojood_Fine data. [2] Evaluate Flat Fine-Grain NER <https://gist.github.com/mohammedkhalilia/c807eb1ccb15416b187c32a362001665>: This notebook will use the trained model saved from the notebook above to perform evaluation on unseen dataset. [3] Train Nested Fine-Grain NER <https://gist.github.com/mohammedkhalilia/a4d83d4e43682d1efcdf299d41beb3da>: This notebook can be used to train our ArabicNER model on the nested Fine-grain task using the sample Wojood data. [4] Evaluate Nested Fine-Grain NER <https://gist.github.com/mohammedkhalilia/9134510aa2684464f57de7934c97138b>: This notebook will use the trained model saved from the notebook above to perform evaluation on unseen dataset. REGISTRATION Participants need to register via this form (NERSharedTask 2024) <https://docs.google.com/forms/d/1ISMILgQYfUug3XuDpxFmuPASXkWaduYOUc3xOZuGwq…>. Participating teams will be provided with common training development datasets. No external manually labelled datasets are allowed. Blind test data set will be used to evaluate the output of the participating teams. Each team is allowed a maximum of 3 submissions. All teams are required to report on the development and test sets (after results are announced) in their write-ups. FAQ For any questions related to this task, please check our Frequently Asked Questions <https://docs.google.com/document/d/1W_13FRpP3NbDx_ALYJWA3-ESXPRVomOjNovUuYf…> IMPORTANT DATES - February 25, 2024: Shared task announcement. - March 1, 2024: Release of training data, development sets, scoring script, and Codalab links. - April 10, 2024: Registration deadline. - April 26, 2024: Test set made available. - May 3, 2024: Codalab Test system submission deadline. - May 10, 2024: Shared task system paper submissions due. - June 17, 2024: Notification of acceptance. - July 1, 2024: Camera-ready version. - August 16, 2024: ArabicNLP 2024 conference in Thailand. CONTACT For any questions related to this task, please contact the organizers directly using the following email address: NERSharedtask(a)gmail.com <mailto:NERSharedtask@gmail.com> .

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NLP postdoc position at Boston University (first deadline 4/15)
by Najoung Kim 09 Apr '24

09 Apr '24

(Re-sending due to the initial attempt bouncing, apologies in advance if you receive multiple copies!) Professor and co-principal investigator Najoung Kim <https://najoung.kim/>of the Boston University Department of Linguistics <https://ling.bu.edu/> (with active affiliations in Computer Science <https://www.bu.edu/cs/>and Data Science <https://www.bu.edu/cds-faculty/>) is seeking a Postdoctoral Associate to join the Professor's TIN Lab in Fall 2024. The successful applicant will have a background in one of the following disciplines: Artificial Intelligence, Natural Language Processing, Computational Linguistics, Cognitive Science, or other relevant areas. The postdoctoral associate will work closely with the PIs (Najoung Kim, Boston University & Sebastian Schuster, UCL) and will be responsible for co-leading a collaborative research project minimally involving two PhD-level graduate students. *Responsibilities* The postdoctoral associate’s primary responsibility is to lead a research project, the aim of which is to develop detailed evaluation protocols for AI technology applied to a consequential task of real-world complexity—specifically, AI in the domain of academic AI research—and to apply this evaluation to estimate the capacities of the current best models. We expect there to be a substantial system development component (for building the baselines) as well as a substantial human study design component (for a rigorous evaluation of the system outputs), where different expertise can be contributed by different members of the research team (minimally, two PIs, the postdoctoral associate, and two PhD-level graduate students). The postdoctoral associate is also invited to engage with the broader academic community at BU, spanning Linguistics, Computer Science, and the Center for Computing & Data Sciences, and academic communities in Boston and New England. There will also be regular opportunities to connect with the community at UCL. *Qualifications* The postdoctoral associate needs to hold a PhD degree at the start of their appointment. Hands-on experience in either: (1) building systems that use language models as a core component to solve complex tasks, or (2) leading human annotation efforts or human behavioral experiments is required. Publications or prior research experience in one of the following topic areas are desired, but not required: - Compositional generalization - Data-efficient training methods (e.g., BabyLM-scale) - Language model evaluation - General-purpose prompting techniques *Location* The postdoctoral associate will be based in Boston University. They will be physically located in one of the office spaces in 621 Commonwealth Avenue or 665 Commonwealth Avenue, subject to space availabilities. *Duration* This is a one-year position with the base expectation that it will renew for a second year, conditioned on satisfactory progress. *Compensation* The 12-month compensation for this position will be $90K-100K USD, commensurate with experience. *Application* Candidates must submit a CV, two pieces of their most significant research contribution, and contacts of two references at the time of application. We will only contact the reference writers for letters of recommendation when we decide to interview the candidate. Application materials should be uploaded as individual PDF files through Academic Jobs Online at https://academicjobsonline.org/ajo/jobs/27426. We will give full consideration to applications received by April 15, 2024: two weeks from the job posting date. Afterwards, applications will be considered on a rolling basis until the position is filled. Inquiries should be directed to najoung(a)bu.edu and s.schuster(a)ucl.ac.uk. -- Najoung Kim Assistant Professor Department of Linguistics & Computer Science, Boston University https://najoung.kim 🍪

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Second CfP: Fifth Workshop on "Gender Bias in Natural Language Processing", August 16, Thailand, ACL
by Agnieszka Falenska 09 Apr '24

09 Apr '24

*Apologies for cross-posting* Fifth Workshop on Gender Bias in Natural Language Processing Bangkok, Thailand, on August 16, 2024 https://genderbiasnlp.talp.cat/ <https://kemt2024.wixsite.com/home> Second Call for Papers Gender bias, among other demographic biases (e.g. race, nationality, religion), in machine-learned models is of increasing interest to the scientific community and industry. Models of natural language are highly affected by such biases, which are present in widely used products and can lead to poor user experiences. There is a growing body of research into improved representations of gender in NLP models. Key example approaches are to build and use balanced training and evaluation datasets (e.g. Webster et al., 2018), and to change the learning algorithms themselves (e.g. Bolukbasi et al., 2016). While these approaches show promising results, there is more to do to solve identified and future bias issues. In order to make progress as a field, we need to create widespread awareness of bias and a consensus on how to work against it, for instance by developing standard tasks and metrics. Our workshop provides a forum to achieve this goal. Topics of interest We invite submissions of technical work exploring the detection, measurement, and mediation of gender bias in NLP models and applications. Other important topics are the creation of datasets, identifying and assessing relevant biases or focusing on fairness in NLP systems. Finally, the workshop is also open to non-technical work addressing sociological perspectives, and we strongly encourage critical reflections on the sources and implications of bias throughout all types of work. In addition this year we are organising a Shared Task on Gender Bias Machine Translation evaluation. Paper Submission Information Submissions will be accepted as short papers (4-6 pages) and as long papers (8-10 pages), plus additional pages for references, following the ACL 2024 guidelines. Supplementary material can be added, but should not be central to the argument of the paper. Blind submission is required. Each paper should include a statement which explicitly defines (a) what system behaviors are considered as bias in the work and (b) why those behaviors are harmful, in what ways, and to whom (cf. Blodgett et al. (2020)). More information on this requirement, which was successfully introduced at GeBNLP 2020, can be found on the workshop website. We also encourage authors to engage with definitions of bias and other relevant concepts such as prejudice, harm, discrimination from outside NLP, especially from social sciences and normative ethics, in this statement and in their work in general. Non-archival option The authors have the option of submitting research as non-archival, meaning that the paper will not be published in the conference proceedings. We expect these submissions to describe the same quality of work and format as archival submissions. Important dates. May 10, 2024: Workshop Paper Due Date June 5, 2024: Notification of Acceptance June 25, 2024: Camera-ready papers due August 16, 2024: Workshop Dates Keynote Speakers. Isabelle Augenstein, University of Copenhagen Hal Daumé III, University of Maryland and Microsoft Research NYC Organizers. Christine Basta, Alexandria University Marta R. Costa-jussà, FAIR, Meta, Agnieszka Falénska, University of Stuttgart Seraphina Goldfarb-Tarrant, Cohere Debora Nozza, Bocconi University

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Call for Participation: Announcing New DFIR 6, 7 & 8 Streams
by Andrew Zayine 08 Apr '24

08 Apr '24

Dear All, The Association of Cyber Forensics and Threat Investigators invites you to join our next webinars: "DFIR Stream 0x6" on Tuesday, April 16 · 4:00 – 5:00 pm (GMT+00:00) UK Time Title: Operationalizing Machine Learning for Networks, by Shinan Liu, University of Chicago. Register@ https://www.acfti.org/news-events/dfir-stream-0x6 "DFIR Stream 0x7" on Tuesday, May 7. 1:30 – 2:30 pm (GMT+00:00) UK Time Title: Malware Detection in Memory Forensics: Open Challenges and Issues, by Dr. Ricardo J. Rodríguez, University of Zaragoza. Register@ https://www.acfti.org/news-events/dfir-stream-0x7 "DFIR Stream 0x8" on Monday, May 13 · 4:00 – 5:00 pm (GMT+00:00) UK Time Title: Low-Level Hardware Information Assisted Approach Towards System Security, by Dr. Chen Liu, Clarkson University. Register@ https://www.acfti.org/news-events/dfir-stream-0x8 ======Housekeeping Notes====== - Note that this event is online only. Hence, You must register to receive a link to connect. Due to limited availability, we kindly ask you to register as soon as possible to ensure your participation in the webinar of your choice. - For Students, A certificate of successful participation in the event will be delivered upon request for free (after verifying attendance), indicating the number of hours of the seminar (please make sure that you add the correct name in the registration form). This should be sufficient for those participants who plan to request ECTS recognition from their home university. Join Us & stay tuned! #CyberSecurity #MemoryForensics #MachineLearning #AnomalyDetection Finally, I would like to remind you that the call for speakers is currently open on the dedicated DFIR stream website, https://dfir.stream/call-for-guest-speakers To get more news about our events, please join our low-traffic announcement group @ https://groups.google.com/g/acfti This event is brought to you by CFTIRC (Cyber Forensics & Threat Investigations Research Community). Best regards, Andrew Zayin Ph.D., CISSP, CISM, CRISC, CDPSE, PMP ACFTI Secretariat

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CLiC-it 2024 - Tenth Italian Conference on Computational Linguistics - First CFP
by Simonetta Montemagni 08 Apr '24

08 Apr '24

[Apologies for multiple postings] ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ *CLiC-it 2024 - Tenth Italian Conference on Computational Linguistics* ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 4 - 6 December 2024, Pisa, Italy Conference Announcement and First Call for Papers https://clic2024.ilc.cnr.it/ <https://clic2024.ilc.cnr.it/> This year marks the 10th anniversary of the Italian Conference on Computational Linguistics, CLiC-it! To commemorate this milestone, CLiC-it will be hosted in Pisa, just as it was in 2014. Over the years, CLiC-it has evolved into an important forum for the Italian community of researchers in Computational Linguistics (CL) and Natural Language Processing (NLP). CLiC-it aims to promote and disseminate high-quality, original research covering different aspects of automatic language processing, involving both written and spoken language. Furthermore, it seeks to showcase cutting-edge theoretical findings, experimental methodologies, technologies, and application perspectives. The spirit of the conference is inclusive. Recognizing the multifaceted nature of language phenomena and the need for interdisciplinary expertise, CLiC-it aims to bring together researchers from different fields including Computational Linguistics and Natural Language Processing, Linguistics, Cognitive Science, Machine Learning, Computer Science, Knowledge Representation, Information Retrieval, and Digital Humanities. CLiC-it welcomes contributions focusing on all languages, with a particular emphasis on Italian. CLiC-it 2024 will be held in Pisa, from the 4th to the 6th of December. CLiC-it is organised by the Italian Association of Computational Linguistics (AILC -- http://www.ai-lc.it/ <http://www.ai-lc.it/>). Conference topics ----------------------------- CLiC-it 2024 aims to have a broad technical program. Relevant topics for the conference include, but are not limited to (in alphabetical order): - Computational Historical Linguistics - Computational Social Science and Cultural Analytics - Dialogue and Interactive Systems - Discourse and Pragmatics - Ethics and NLP - Generation - Handwritten Text Recognition - Information Extraction - Information Retrieval and Text Mining - Interpretability and Analysis of Models for NLP - Language Grounding to Vision, Robotics and Beyond - Large Language Models - Linguistic Diversity - Linguistic Theories, Cognitive Modeling, and Psycholinguistics - Machine Learning for NLP - Machine Translation - Multilingualism and Cross-Lingual NLP - NLP Applications - NLP for the Humanities - Phonology, Morphology, and Word Segmentation - Pragmatics and Creativity - Question Answering - Resources and Evaluation - Semantics: Lexical, Sentence-level Semantics, Textual Inference, and Other Areas - Sentiment Analysis, Stylistic Analysis, and Argument Mining - Speech and Multimodality - Summarization - Syntax: Tagging, Chunking and Parsing Paper Submission ----------------------- Submitted papers must describe substantial, original, completed, and unpublished work. Wherever appropriate, concrete evaluation and analysis should be included. CLiC-it 2024 allows for a multiple submission policy. In case of acceptance of the paper in other venues, the authors must communicate this information to the CLiC-it 2024 Chairs as soon as possible. Papers may consist of up to five (5) pages of content, plus unlimited pages of acknowledgments, references and appendices. Upon acceptance, final versions of papers will be given one additional page of content, so that reviewers’ comments can be taken into account. Papers will be evaluated according to the following criteria: - soundness of approach - relevance to computational linguistics - novelty and clarity of relation with related work - quality of presentation - quality of evaluation (if applicable) - verifiability and ability to replicate (if applicable) Papers can be either in English or Italian, with the abstract in English. Accepted papers will be published on-line and will be presented at the conference either orally or as a poster. Reviewing will NOT be blind, so there is no need to remove author information from manuscripts. Information about the paper format and the conference management system to be used for submission will be notified in the second Call for Papers. Research Communications ---------------------------------- CLiC-it 2024 adopts a parallel submission policy for outstanding papers accepted in 2023 by major publication venues, namely the major international CL conferences (workshops excluded) or international journals. These contributions can be submitted to CLiC-it 2024 as short research communications. Research communications will not be published in the conference proceedings, they serve primarily to promote the dissemination of high-quality research within the Italian CL community. Submitted research communications must be in the scope of the CLiC-it 2024 conference. The authors of papers that meet the above criteria are invited to submit a written (maximum) one-page abstract of the original paper, including the paper’s title and authors as well as a pointer to the original conference or journal where the paper was published. If needed, research communications will undergo a selection process overseen by the conference chairs. Since these papers have already been reviewed, the selection criteria will primarily consider their original publication venue. Priority will be granted to papers that align most closely with the conference program, ensuring a balanced representation across various conference topics. Awards --------- To acknowledge the contribution of young researchers to the field, the title of "best paper" will be awarded to outstanding papers, provided that a Master's or PhD student is among the authors and presents the work at the conference. Recipients of this award will be invited to submit an extended version of their papers to the Italian Journal of Computational Linguistics (IJCoL). To recognise excellence in student research as well as promote awareness of our field, AILC is also conferring the “Emanuele Pianta” prize for the best Master Thesis (Laurea Magistrale) in Computational Linguistics submitted at an Italian University. The prize consists of 500 Euros plus free membership to AILC for one year and free registration to the upcoming CLiC-it. The complete call is available on the conference website at: “Calls > AILC Master Thesis Award”. Important Dates --------------- - 15/07/2024: Paper submission deadline: regular papers and research communications - 23/09/2024: Notification to authors of reviewing/selection outcome - 21/10/2024: Camera ready version of accepted papers - 4-6/12/2024: CLiC-it 2024 Conference, Pisa Conference Chairs ------ - Felice Dell’Orletta (CNR-ILC) - Alessandro Lenci (Università di Pisa) - Simonetta Montemagni (CNR-ILC) - Rachele Sprugnoli (Università di Parma) Further information ------------------- Conference website: https://clic2024.ilc.cnr.it/ <https://clic2024.ilc.cnr.it/> Mail: clicit2024(a)gmail.com <mailto:clicit2024@gmail.com> -- Simonetta Montemagni Istituto di Linguistica Computazionale "Antonio Zampolli" (ILC) - CNR Area della Ricerca di Pisa Via Moruzzi 1, 56124 Pisa, ITALY e-mailsimonetta.montemagni(a)ilc.cnr.it direct tel. no +39 050 3152850 fax no. +39 050 3152839 cell. +39 349 7656651

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