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Deadline Extended: AmericasNLP 2023 @ ACL
by Katharina Kann 14 Apr '23

14 Apr '23

AmericasNLP 2023 has extended its paper submission deadline. The new deadline is: *April 22, 2023*. (The original deadline was April 15.) More information below! The Third Workshop on NLP for Indigenous Languages of the Americas ( AmericasNLP 2023) The Third Workshop on NLP for Indigenous Languages of the Americas ( AmericasNLP) will be co-located with the 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023 <https://2023.aclweb.org/>), which is scheduled to be held in Toronto, Canada, between July 9-14, 2023. The goal of the workshop is to encourage and increase the visibility of work on the Indigenous languages of the Americas. It aims to encourage research on NLP, computational linguistics, corpus linguistics and speech for Indigenous languages, to connect researchers and professionals from underrepresented communities and native speakers of endangered languages with the ACL community, and, more generally, to promote machine learning approaches suitable for low-resource languages. We invite the submission of - Long papers (8 pages) and short papers (4 pages) on substantial, original, and unpublished research - Non-archival extended abstracts (2 pages), technical reports (8 pages), and work which has been presented at other venues (in the format of the original publication) Submissions do not need to describe work on native languages directly, as long as it is clear why those can benefit from the described approaches. Areas of interest include but are not limited to: - Creation of datasets for NLP applications - Incorporation of external knowledge into neural systems - Linguistic typology and the use of typological features for NLP - Transfer learning, meta-learning, and active learning - Weakly supervised, semi-supervised, and unsupervised learning - Machine translation of low-resource languages - Morphology and phonology of low-resource languages - NLP applications for Indigenous languages of the Americas Important dates: - Start of the anonymity period: March 15, 2023 - Submission deadline: April 15, 2023 *April 22, 2023* - Notification of acceptance: May 15, 2023 - Camera ready papers due: May 26, 2023 - Workshop: July 14, 2023 All deadlines are 11.59 pm UTC -12h (anywhere on earth). Link to submission portal: https://softconf.com/acl2023/AmericasNLP2023/ The workshop also includes: - A machine translation shared task on truly low-resource languages - A mentoring program to support students and newcomers from underrepresented communities (application form: https://forms.gle/afBWauDfDQijXHTy9) We also have a diverse set of invited speakers, focused on bridging the gap between linguists, NLP, and machine learning research! - Steven Bird (linguistics; ethics) - Angela Fan (NLP; machine translation) - Kristine Stenzel (field linguistics; American Indigenous languages) Organizing Committee - Manuel Mager, AWS AI Labs - Arturo Oncevay, University of Edinburgh - Enora Rice, University of Colorado Boulder - Abteen Ebrahimi, University of Colorado Boulder - Shruti Rijhwani, Google Research - Alexis Palmer, University of Colorado Boulder - Katharina Kann, University of Colorado Boulder More information and contact information can be found at http://turing.iimas.unam.mx/americasnlp/. -- Dr. Katharina Kann Assistant Professor of Computer Science University of Colorado Boulder Personal page: https://kelina.github.io Group page: https://nala-cub.github.io

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Extended Deadline - Call for Task Proposals: SemEval-2024
by Harish Tayyar Madabushi 14 Apr '23

14 Apr '23

Apologies for cross-posting. The task proposals deadline had been extended to the 24th April 2023 anywhere on earth. We look forward to your proposals. Important Dates: - Task proposals due April 17, 2023 April 24, 2023 (Anywhere on Earth) - Task selection notification May 22, 2023 Contact: semevalorganizers(a)gmail.com We invite proposals for tasks to be run as part of SemEval-2024. SemEval (the International Workshop on Semantic Evaluation)is an ongoing series of evaluations of computational semantics systems, organized under the umbrella of SIGLEX, the Special Interest Group on the Lexicon of the Association for Computational Linguistics. SemEval tasks explore the nature of meaning in natural languages: how to characterize meaning and how to compute it. This is achieved in practical terms, using shared datasets and standardized evaluation metrics to quantify the strengths and weaknesses and possible solutions. SemEval tasks encompass a broad range of semantic topics from the lexical level to the discourse level, including word sense identification, semantic parsing, coreference resolution, and sentiment analysis, among others. For SemEval-2024, we welcome any task that can test an automatic system for the semantic analysis of text, which could be an intrinsic semantic evaluation or an application-oriented evaluation. We especially encourage tasks for languages other than English, cross-lingual tasks, and tasks that develop novel applications of computational semantics. See the websites of previous editions of SemEval to get an idea about the range of tasks explored, SemEval-2022 and SemEval-2023. We strongly encourage proposals based on pilot studies that have already generated initial data, as this can provide concrete examples and can help to foresee the challenges of preparing the full task. In the event of receiving many proposals, preference will be given to proposals that have already run a pilot study. In case you are not sure whether a task is suitable for SemEval, please feel free to get in touch with the SemEval organizers at semevalorganizers(a)gmail.com to discuss your idea. *=== Task Selection ===* Task proposals will be reviewed by experts, and reviews will serve as the basis for acceptance decisions. Everything else being equal, more innovative new tasks will be given preference over task reruns. Task proposals will be evaluated on: Novelty: Is the task on a compelling new problem that has not been explored much in the community? Is the task a rerun, but covering substantially new ground (new subtasks, new types of data, new languages, etc.)? Interest: Is the proposed task likely to attract a sufficient number of participants? Data: Are the plans for collecting data convincing? Will the resulting data be of high quality? Will annotations have meaningfully high inter-annotator agreements? Have all appropriate licenses for use and re-use of the data after the evaluation been secured? Have all international privacy concerns been addressed? Will the data annotation be ready on time? Evaluation: Is the methodology for evaluation sound? Is the necessary infrastructure available or can it be built in time for the shared task? Will research inspired by this task be able to evaluate in the same manner and on the same data after the initial task? Impact: What is the expected impact of the data in this task on future research beyond the SemEval Workshop? *=== New Tasks vs. Task Reruns ===* We welcome both new tasks and task reruns. For a new task, the proposal should address whether the task would be able to attract participants. Preference will be given to novel tasks that have not received much attention yet. For reruns of previous shared tasks (whether or not the previous task was part of SemEval), the proposal should address the need for another iteration of the task. Valid reasons include: a new form of evaluation (e.g. a new evaluation metric, a new application-oriented scenario), new genres or domains (e.g. social media, domain-specific corpora), or a significant expansion in scale. We further discourage carrying over a previous task and just adding new subtasks, as this can lead to the accumulation of too many subtasks. Evaluating on a different dataset with the same task formulation, or evaluating on the same dataset with a different evaluation metric, typically should not be considered a separate subtask. *=== Task Organization ===* We welcome people who have never organized a SemEval task before, as well as those who have. Apart from providing a dataset, task organizers are expected to: - Verify the data annotations have sufficient inter-annotator agreement - Verify licenses for the data to allow its use in the competition and afterwards. In particular, text that is publicly available online is not necessarily in the public domain; unless a license has been provided, the author retains all rights associated with their work, including copying, sharing and publishing. For more information, see: https://creativecommons.org/faq/#what-is-copyright-and-why-does-it-matter - Resolve any potential security, privacy, or ethical concerns about the data - Make the data available in a long-term repository under an appropriate license, preferably using Zenodo: https://zenodo.org/communities/semeval/ - Provide task participants with format checkers and standard scorers. - Provide task participants with baseline systems to use as a starting point (in order to lower the obstacles to participation). A baseline system typically contains code that reads the data, creates a baseline response (e.g. random guessing, majority class prediction), and outputs the evaluation results. Whenever possible, baseline systems should be written in widely used programming languages and/or should be implemented as a component for standard NLP pipelines. - Create a mailing list and website for the task and post all relevant information there. - Create a CodaLab or other similar competition for the task and upload the evaluation script. - Manage submissions on CodaLab or a similar competition site. - Write a task description paper to be included in SemEval proceedings, and present it at the workshop. - Manage participants’ submissions of system description papers, manage participants’ peer review of each others’ papers, and possibly shepherd papers that need additional help in improving the writing. - Review other task description papers. *=== Important dates ===* - Task proposals due April 17, 2023 (Anywhere on Earth) - Task selection notification May 22, 2023 *=== Preliminary timetable ===* - Sample data ready July 15, 2023 - Training data ready September 1, 2023 - Evaluation data ready December 1, 2023 (internal deadline; not for public release) - Evaluation starts January 10, 2024 - Evaluation end by January 31, 2024 (latest date; task organizers may choose an earlier date) - Paper submission due February 2024 - Notification to authors on March 2024 - Camera-ready due April 2024 - SemEval workshop Summer 2024 (co-located with a major NLP conference) Tasks that fail to keep up with crucial deadlines (such as the dates for having the task and CodaLab website up and dates for uploading samples, training, and evaluation data) may be cancelled at the discretion of SemEval organizers. While consideration will be given to extenuating circumstances, our goal is to provide sufficient time for the participants to develop strong and well-thought-out systems. Cancelled tasks will be encouraged to submit proposals for the subsequent year’s SemEval. To reduce the risk of tasks failing to meet the deadlines, we are unlikely to accept multiple tasks with overlap in the task organizers. *=== Submission Details ===* The task proposal should be a self-contained document of no longer than 3 pages (plus additional pages for references). All submissions must be in PDF format, following the ACL template. Each proposal should contain the following: - Overview - Summary of the task - Why this task is needed and which communities would be interested in participating - Expected impact of the task - Data & Resources - How the training/testing data will be produced. Please discuss whether existing corpora will be re-used. - Details of copyright, so that the data can be used by the research community both during the SemEval evaluation and afterwards - How much data will be produced - How data quality will be ensured and evaluated - An example of what the data would look like - Resources required to produce the data and prepare the task for participants (annotation cost, annotation time, computation time, etc.) - Assessment of any concerns with respect to ethics, privacy, or security (e.g. personally identifiable information of private individuals; potential for systems to cause harm) - Pilot Task (strongly recommended) - Details of the pilot task - What lessons were learned and how these will impact the task design - Evaluation - The evaluation methodology to be used, including clear evaluation criteria - For Task Reruns - Justification for why a new iteration of the task is needed (see criteria above) - What will differ from the previous iteration - Expected impact of the rerun compared with the previous iteration - Task organizers - Names, affiliations, email addresses - (optional) brief description of relevant experience or expertise - (if applicable) years and task numbers, of any SemEval tasks you have run in the past Proposals will be reviewed by an independent group of area experts who may not have familiarity with recent SemEval tasks, and therefore all proposals should be written in a self-explanatory manner and contain sufficient examples. The submission webpage is: https://openreview.net/group?id=aclweb.org/ACL/2023/Workshop/SemEval *=== Chairs ===* Atul Kr. Ojha, SFI Insight Centre for Data Analytics, DSI, University of Galway A. Seza Doğruöz, Ghent University Giovanni Da San Martino, University of Padua Harish Tayyar Madabushi, The University of Bath Ritesh Kumar, Dr. Bhimrao Ambedkar University Contact: semevalorganizers(a)gmail.com

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Subject: PhD position in discourse modelling and argumentative structure analysis of legal texts (LS2N, Nantes University, France)
by Nicolas HERNANDEZ 14 Apr '23

14 Apr '23

Dear colleagues, In the context of the Lexhnology ANR project (joint linguistic and NLP discourse structure modelling of legal texts for language pedagogy), started early 2023, we currently have one open position for doctoral candidates with a background in Natural Language Processing or related fields. # Thesis topics Interest in the legal field has recently exploded in the NLP community. International evaluation campaigns are proposed on several semantic tasks such as legal information extraction, entailment, rhetorical role recognition, judgement prediction (LegalEval@SemEval2023, COLIEE-2023)... In addition, several conferences and workshops gathering researchers have been recently organised (ASAIL@ICAIL2023, JURISIN@IsAI-2023), showing the growing interest of the NLP community in this specific domain. Numerous datasets are now built and collected (PileOfLaw20, LexGLUE22), allowing the community to create specialised Large Language Models (LLMs) in the legal field (e.g. LegalBERT). This craze is due to the fact that legal texts have several specific characteristics that make their automatic processing difficult and require specific development: they are both language and domain specific and often longer than the length LLMs can handle. The role of the PhD student to be recruited will be to: - propose a framework for probing Pretrained Language Models in terms of the captured discourse information - research effective methods to inject discourse knowledge in Transformer-based language models (discourse inspired self-learning tasks or multi-tasks learning or Transformer architecture revision...) - develop an argumentative structure recognition system which will be used in an online platform by legal English users for supporting their reading and understanding tasks # Project context The PhD fellowship is offered in the context of the Lexhnology (joint linguistic and NLP discourse structure modelling of legal texts for language pedagogy) project funded by the French National Research Agency (https://lexhnology.hypotheses.org/). Partenaires include CRINI (Nantes Université), LS2N (Nantes Université), ATILF (CNRS & Université de Lorraine), and LAIRDIL (Université de Toulouse). The successful candidate will join the NLP research group at LS2N lab in Nantes (https://taln-ls2n.github.io/). Nantes is located in the western part of France, crossed by the Loire River, and situated just 50 kilometres away from the Atlantic coast (https://www.levoyageanantes.fr/en/to-see/). # Requirements * Master degree (completed or nearly completed) in Computer Sciences, Computational Linguistics, Natural Language Processing, Machine Learning, Data Sciences or a closely related field * Excellent academic records * Practical experience in Machine Learning (esp Deep Learning) methods * Good knowledge of experimental design methodology and statistics * Some level of familiarity with discourse analysis would be a plus * Excellent programming skills (esp. Python) * English (at least B2) and French proficiency both spoken and written * Initiative and ability to work independently and as part of a team # General information * Supervisors: Prof. Richard Dufour, Dr Nicolas Hernandez, Dr Laura Monceaux. * Type of Contract : PhD Student contract / Thesis offer * Contract Period : 36 months * Start date of the thesis : 1 September 2023 * Proportion of work : Full time on site * Remuneration : about 2175 € gross monthly (before taxes), partial reimbursement of public transport costs # Additional information and application Application deadline : 8 May 2023 For further information and application, contact Nicolas Hernandez (nicolas.hernandez(a)univ-nantes.fr) AND Laura Monceaux (laura.monceaux(a)univ-nantes.fr) AND Richard Dufour (richard.dufour(a)univ-nantes.fr). Applications should contain all the documents indicated below: a. Free style cover letter outlining the interest for the PhD/ANR project b. Curriculum vitae c. Transcripts of grades from first and second year of master's program (or, if applicable, a document attesting to anticipated success) d. Names and addresses of two references. Shortlisted applicants will be interviewed online. -- Dr. Nicolas Hernandez Associate Professor (Maître de Conférences) Nantes Université - LS2N UMR6004 https://nicolashernandez.github.io/ +33 (0)2 51 12 53 94 +33 (0)2 40 30 60 67 https://sciences-techniques.univ-nantes.fr/programme-du-m1-atal

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Multi Feature Tagger of English: An opensource tool for Multidimensional Analysis related tagging
by Muhammad Shakir 14 Apr '23

14 Apr '23

Dear Memebers We are very excited to share a new tool with the community. Multi-Feature Tagger of English (MFTE) is the Python version of the MFTE Perl (Le Foll 2021). This improved and extended Python version includes semantic tags from Biber (2006) and Biber et al. (1999), as well as additional tags, e.g., separate tags for third person singular male and female pronouns. This tagger first uses the Python NLP library stanza for grammatical part-of-speech tagging before applying rule-based regular expressions to tag for a range of more complex lexico-grammatical and semantic features typically used in multidimensional analysis (MDA; cf. Biber 1984; 1988). The software is available as a free and opensource Python command line and simple GUI. Current version is a pre-alpha release with bugs and errors expected (& incomplete documentation). If you are interested in doing MDA studies, you may want to give it a try. Please feel free to report any errors or other glitches using the Issues tab on the Github repo. The software is available on the link below along with instructions how to install and use it. https://github.com/mshakirDr/MFTE Regards

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AT4SLL at EAMT 2023: Deadline extension to April, 24th 2023
by Fred Blain 14 Apr '23

14 Apr '23

Workshop on Automatic Translation for Signed and Spoken Languages ***** The submission deadline for AT4SLL has been extended to April, 24th 2023 ***** SCOPE According to the World Federation of the Deaf (WFD) over 70 million people are deaf and communicate primarily via Sign Language (SL). Currently, human interpreters are the main medium for sign-to-spoken, spoken-to-sign and sign-to-sign language translation. The availability and cost of these professionals is often a limiting factor in communication between signers and non-signers. Machine Translation (MT) is a core technique for reducing language barriers for spoken languages. Although MT has come a long way since its inception in the 1950s, it still has a long way to go to successfully cater to all communication needs and users. When it comes to the deaf and hard of hearing communities, MT is in its infancy. The complexity of the task to automatically translate between SLs or sign and spoken languages, requires a multidisciplinary approach. The rapid technological and methodological advances in deep learning, and in AI in general, that we see in the last decade, have not only improved MT, recognition of image, video and audio signals, the understanding of language, the synthesis of life-like 3D avatars, etc., but have also led to the fusion of interdisciplinary research innovations that lays the foundation of automated translation services between sign and spoken languages. This one-day workshop aims to be a venue for presenting and discussing (complete, ongoing or future) research on automatic translation between sign and spoken languages and bring together researchers, practitioners, interpreters and innovators working in related fields. We are delighted to confirm that two interpreters for English<>International Sign (IS) will be present during the event, to make it as inclusive as possible to anyone who wishes to participate. Theme of the workshop: Data is one of the key factors for the success of today’s AI, including language and translation models for sign and spoken languages. However, when it comes to SL, MT and Natural Language Processing, we face problems related to small volumes of (parallel) data, low veracity in terms of origin of annotations (deaf or hearing interpreters), non-standardized annotations (e.g. glosses differ across corpora), video quality or recording setting, and others. The theme of this edition of the workshop is Sign language parallel data – challenges, solutions and resolutions. The AT4SSL workshop aims to open a (guided) discussion between participants about current challenges, innovations and future developments related to the automatic translation between sign and spoken languages. To this extent, AT4SSL will host a moderated round table around the following three topics: (i) quality of recognition and synthesis models and user-expectations; (ii) co-creation -- deaf, hearing and hard-of-hearing people joining forces towards a common goal and (iii) sign-to-spoken and spoken-to-sign translation technology in media. TOPICS This workshop aims to focus on the following topics. However, submissions related to the general topic of automatic translation between signed and spoken languages that deviate from these topics are also welcome: * Data: resources, collection and curation, challenges, processing, data life cycle * Use-cases, applications * Ethics, privacy and policies * Sign language linguistics * Machine translation (with a focus on signed-to-signed, signed-to-spoken or spoken-to-signed language translation) * Natural language processing * Interpreting of sign and spoken languages * Image and video recognition (for the purpose of sign language recognition) * 3D avatar and virtual signers synthesis * Usability and challenges of current methods and methodologies * Sign language in the media SUBMISSION FORMAT Two types of submissions are going to be accepted for the AT4SSL workshop: * Research, review, position and application papers Unpublished papers that present original, completed work. The length of each paper should be at least four (4) and maximum eight (8) pages, with unlimited pages for references. * Extended abstracts Extended abstracts should present original, ongoing work or innovative ideas. The length of each extended abstract is four (4) pages, with unlimited pages for references. Both papers should be formatted according to the official EAMT 2023 style templates (LaTex<https://events.tuni.fi/uploads/2022/12/ee35fd56-latex_template.zip>. Overleaf<https://www.overleaf.com/read/mkjbkppndvxw>, MS Word<https://events.tuni.fi/uploads/2022/12/edd598d2-eamt23.docx>, Libre/Open Office<https://events.tuni.fi/uploads/2022/12/ece98f81-eamt23.odt>, PDF<https://events.tuni.fi/uploads/2022/12/6e89772e-eamt23.pdf>). Accepted papers and extended abstracts will be published in the EAMT 2023 proceedings and will be presented at the conference. SUBMISSION POLICY * Submissions must be anonymized. * Papers and extended abstracts should be submitted using EASY Chair<https://easychair.org/my/conference?conf=at4ssl2023>. * Work that has been or is planned to be submitted to other venues must be declared as such. Upon acceptance at AT4SSL, it must be withdrawn from the other venues. * The review will be double-blind. IMPORTANT DATES: * First call for papers: 13-March-2023 * Second call for papers: 31-March-2023 * Submission deadline: 14-April-2023 24-April-2023 (Extended!) * Review process: between 25-April-2023 and 05-May-2023 * Acceptance notification: 12-May-2023 * Camera ready submission: 01-June-2023 * Submission of material for interpreters: 06-June-2023 * Programme will be finalised by: 01-June-2023 * Workshop date: 15-June-2023 ORGANISATION COMMITTEE: Dimitar Shterionov (TiU) Mirella De Sisto (TiU) Mathias Muller (UZH) Davy Van Landuyt (EUD) Rehana Omardeen (EUD) Shaun O’Boyle (DCU) Annelies Braffort (Paris-Saclay University) Floris Roelofsen (UvA) Frédéric Blain (TiU) Bram Vanroy (KU Leuven; UGent) Eleftherios Avramidis (DFKI) INTERPRETING: We will provide English to International Sign (IS) interpreting during the workshop. FOR CONTACTS: Dimitar Shterionov, workshop chair: d.shterionov(a)tilburguniversity.edu Registration will be handled by the EAMT2023 conference. (To be announced)

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Last Call for Papers: Corpus Approaches to Lexicogrammar (LxGr2023)
by Costas Gabrielatos 14 Apr '23

14 Apr '23

Corpus Approaches to Lexicogrammar (LxGr2023) LAST CALL FOR PAPERS Abstract submission closes tomorrow, 15 April 2023 The symposium will take place online on 7-8 July 2023. Invited Speakers: Gaëtanelle Gilquin<https://perso.uclouvain.be/gaetanelle.gilquin> (Université catholique de Louvain) Thomas Herbst<https://www.angam.phil.fau.de/fields/engling/herbst/> (Friedrich-Alexander-Universität) If you would like to present, send an abstract of 500 words (excluding references) to lxgr(a)edgehill.ac.uk<mailto:lxgr@edgehill.ac.uk>. Make sure that the abstract clearly specifies the research focus (research questions or hypotheses), the corpus, the methodology (techniques and metrics), the theoretical orientation, and the main findings. Abstracts will be double-blind reviewed, and decisions will be communicated within four weeks. Full papers will be allocated 35 minutes (including 10 minutes for discussion). Work-in-progress reports will be allocated 20 minutes (including 5 minutes for discussion). There will be no parallel sessions. Participation is free. The focus of LxGr is the interaction of lexis and grammar. The focus is influenced by Halliday's view of lexis and grammar as "complementary perspectives" (1991: 32), and his conception of the two as notional ends of a continuum (lexicogrammar), in that "if you interrogate the system grammatically you will get grammar-like answers and if you interrogate it lexically you get lexis-like answers" (1992: 64). For more information and details of past symposia, see here: https://ehu.ac.uk/lxgr. If you have any questions, contact lxgr(a)edgehill.ac.uk<mailto:lxgr@edgehill.ac.uk>. ________________________________ Edge Hill University<http://ehu.ac.uk/home/emailfooter> Modern University of the Year, The Times and Sunday Times Good University Guide 2022<http://ehu.ac.uk/tef/emailfooter> University of the Year, Educate North 2021/21 ________________________________ This message is private and confidential. If you have received this message in error, please notify the sender and remove it from your system. Any views or opinions presented are solely those of the author and do not necessarily represent those of Edge Hill or associated companies. Edge Hill University may monitor email traffic data and also the content of email for the purposes of security and business communications during staff absence.<http://ehu.ac.uk/itspolicies/emailfooter>

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deadline extension GITT-2023 at EAMT 2023
by bsavoldi＠fbk.eu 14 Apr '23

14 Apr '23

***** The submission deadline for GITT has been extended to April 24th for full papers and May 3th for extended abstracts and research communications ***** First International Workshop on Gender-Inclusive Translation Technologies (GITT) at EAMT 2023 15 June 2023, Tampere, Finland https://sites.google.com/tilburguniversity.edu/gitt2023 @GITT2023 *New timeline* (Time zone: Anywhere on Earth) - Submission deadline: - Papers: 24 April, 2023 - Research communications and extended abstracts: 3 May, 2023 - Notification of Acceptance: 12 May, 2023 - Camera Ready Copy due: 19 May, 2023 - Workshop: 15 June, 2023 *Aim and scope* The Gender-Inclusive Translation Technologies Workshop (GITT) is set out to be the first workshop that focuses on gender-inclusive language in translation and cross-lingual scenarios. The workshop aims to bring together researchers from diverse areas, including industry partners, MT practitioners, and language professionals. GITT aims to encourage multidisciplinary research that develops and interrogates both solutions and challenges for addressing bias and promoting gender inclusivity in MT and translation tools. *Topics* GITT invites technical as well as non-technical submissions, which consist of experimental, theoretical or methodological contributions. We explicitly welcome interdisciplinary submissions and submissions that focus on innovative, non-binary linguistic strategies and/or with sociolinguistically-informed perspectives. The topics of interest include, but are not limited to: - Models or methods for assessing and mitigating gender bias - New resources for inclusive language and gender translation (e.g., datasets, translation memories, dictionaries) - Social, cross-lingual, and ethical implications of gender bias - Qualitative and quantitative analyses on the potential limits of current approaches to gender bias in translation and MT, error taxonomies as well as best practices and guidelines - User-centric case studies on the impact of biased language and/or mitigating approaches which can include translators, post-editors, or monolingual MT users GITT is also open to other non-listed topics aligned with the scope of the workshop and works focusing on non-textual modalities (e.g., audiovisual translation) *Submission* We welcome three types of submissions: - Research papers: of at least 4 up to 10 pages (including references) - Extended Abstracts: up to 2 pages (including references) Accepted papers and extended abstracts consisting of novel work will be published online as proceedings in the ACL Anthology. - Research Communications: up to 2 pages (including reference) We include a parallel submission policy for papers accepted in other venues in 2022. Research communications will not be included in the proceedings, but will serve to promote the dissemination of research aligned with the scope of the workshop. Submissions should adhere to the EAMT 2023 guidelines and style templates (PDF, LaTeX, Word) and be uploaded on EasyChair: https://easychair.org/my/conference?conf=gitt2023 *Activities* During the workshop, there will be a guided discussion starting from examples of gender bias in MT output collected via the DeBiasByUs website. Attendees are invited to contribute their own examples beforehand via DeBiasByUs (https://debiasbyus.ugent.be/share/) More information about the project and the activity can be found on the WS website. *Workshop organizers* Eva Vanmassenhove, University of Tilburg Beatrice Savoldi, Fondazione Bruno Kessler Luisa Bentivogli, Fondazione Bruno Kessler Joke Daems, University of Ghent Janiça Hackenbuchner, Cologne University of Applied Sciences

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2nd CFP: CLEF 2023 - Conference and Labs of the Evaluation Forum
by Anastasia Giachanou 14 Apr '23

14 Apr '23

Second Call for papers for CLEF 2023: Conference and Labs of the Evaluation Forum 18-21 September 2023, Thessaloniki, Greece https://clef2023.clef-initiative.eu Important Dates (Time zone: Anywhere on Earth) - Submission of Long, Short, Best of 2023 Labs Papers: 12 May, 2023 - Notification of Acceptance: 9 June, 2023 - Camera Ready Copy due: 30 June, 2023 - Conference: 18-21 September, 2023 Aim and Scope The CLEF Conference addresses all aspects of Information Access in any modality and language. The CLEF conference includes presentation of research papers and a series of workshops presenting the results of lab-based comparative evaluation benchmarks. CLEF 2023 is the 14th CLEF conference continuing the popular CLEF campaigns which have run since 2000 contributing to the systematic evaluation of information access systems, primarily through experimentation on shared tasks. The CLEFconference has a clear focus on experimental IR as carried out within evaluation forums (e.g., CLEF Labs, TREC, NTCIR, FIRE, MediaEval, RomIP, SemEval, and TAC) with special attention to the challenges of multimodality, multilinguality, and interactive search also considering specific classes of users as children, students, impaired users in different tasks (e.g., academic, professional, or everyday-life). We invite paper submissions on significant new insights demonstrated on IR test collections, on analysis of IR test collections and evaluation measures, as well as on concrete proposals to push the boundaries of the Cranfield style evaluation paradigm. All submissions to the CLEF main conference will be reviewed on the basis of relevance, originality, importance, and clarity. CLEF welcomes papers that describe rigorous hypothesis testing regardless of whether the results are positive or negative. CLEF also welcomes past runs/results/data analysis and new data collections. Methods are expected to be written so that they are reproducible by others, and the logic of the research design is clearly described in the paper. The conference proceedings will be published in the Springer Lecture Notes in Computer Science (LNCS). Topics Relevant topics for the CLEF 2023 Conference include but are not limited to: - Information access in any language or modality: information retrieval, image retrieval, question answering, information extraction and summarisation, search interfaces and design, infrastructures, etc. - Analytics for information retrieval: theoretical and practical results in the analytics field that are specifically targeted for information access data analysis, data enrichment, etc. - User studies either based on lab studies or crowdsourcing. - Past results/run deep analysis both statistically and fine grain based. - Evaluation initiatives: conclusions, lessons learned, impact and projection of any evaluation initiative after completing their cycle. - Evaluation: methodologies, metrics, statistical and analytical tools, component based, user groups and use cases, ground-truth creation, impact of multilingual/multicultural/multimodal differences, etc. - Technology transfer: economic impact/sustainability of information access approaches, deployment and exploitation of systems, use cases, etc. - Interactive information retrieval evaluation: interactive evaluation of information retrieval systems using user-centered methods, evaluation of novel search interfaces, novel interactive evaluation methods, simulation of interaction, etc. - Specific application domains: information access and its evaluation in application domains such as cultural heritage, digital libraries, social media, health information, legal documents, patents, news, books, and in the form of text, audio and/or image data. - New data collection: presentation of new data collection with potential high impact on future research, specific collections from companies or labs, multilingual collections. - Work on data from rare languages, collaborative, social data. Format Authors are invited to electronically submit original papers, which have not been published and are not under consideration elsewhere, using the LNCS proceedings format: http://www.springer.com/it/computer-science/lncs/conference-proceedings-gui… Two types of papers are solicited: - Long papers: 12 pages max (excluding references). Aimed to report complete research works. - Short papers: 6 pages max (excluding references). Position papers, new evaluation proposals, developments and applications, etc. Review Process Authors of long and short papers are asked to submit the following TWO versions of their manuscript: Methodology version: This version does NOT report anything related to the results of the study. At this stage, the manuscripts will be evaluated based on the importance of the problem addressed and the soundness of the methodology. Manuscripts can include an introduction, description of the proposed methodology and datasets used. However, there should be no result and discussion sections. The authors should also remove mentions of results in the included sections (e.g., abstract, introduction) Experimental version: This is the full version of the manuscript that contains all the sections of the paper including the experiments and results. Papers will be peer-reviewed by 3 members of the program committee in two stages. At the first stage, the members will review the methodology version of the manuscripts based on originality and methodology. At the second stage, the full version of the manuscripts that passed from the first sage will be reviewed. Selection will be based on originality, clarity, and technical quality. The deadline for the submission of both versions is 12th of May. Paper submission Papers should be submitted in PDF format to the following address: https://easychair.org/my/conference?conf=clef2023 - Submit the methodology version at the Methodology Track - Submit the experimental version at the Experimental Track Organisation General Chairs Evangelos Kanoulas, University of Amsterdam, the Netherlands Theodora Tsikrika, Information Technologies Institute, CERTH, GR Stefanos Vrochidis, Information Technologies Institute, CERTH, GR Avi Arampatzis, Democritus University of Thrace, Greece Program Chairs Anastasia Giachanou, Utrecht University, the Netherlands Dan Li, Elsevier Evaluation Lab Chairs Mohammad Aliannejadi, University of Amsterdam, the Netherlands Michalis Vlachos, University of Lausanne, Switzerland Lab Mentorship Chair Jian-Yun Nie, University of Montreal, Canada

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[Call for participation] Cardiff NLP Workshop, 26-27 June 2023 (dates fixed!)
by Jose Camacho Collados 14 Apr '23

14 Apr '23

(Apologies for double posting, the previous version contained errors in the dates, and these are fixed here) ============================================================== Call for Participation 2nd Cardiff NLP Workshop, 26-27 June 2023 ============================================================== We are organising the 2nd Cardiff NLP Summer Workshop, an in-person workshop on Natural Language Processing. It will take place from June 26 to June 27 2023 in the Abacws building in Cardiff (Wales, UK). The workshop is especially designed for PhD students and early career researchers, and the registration is free for everyone. Please fill the following expression of interest form by April 24th if interested in joining the workshop: <https://forms.gle/zzvHetEvWBTJeVW8A> https://docs.google.com/forms/d/e/1FAIpQLSeuxrsPy3qD6YdNSJiZ09rqQlnAGWzXQqL… Workshop Activities: * Invited speakers from academia and industry * Tutorials * Poster session and networking * Panel on large language models and NLP research Important Dates: * Application Period: 2 March-24 April * Notification of Acceptance: 28 April * Workshop: 26-27 June 2023 in Cardiff For more details, please check the workshop website: https://www.cardiffnlpworkshop.org/ Cardiff NLP Organisation team -- Jose Camacho Collados http://www.josecamachocollados.com<http://www.josecamachocollados.com/>

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[Call for participation] Cardiff NLP Workshop, 26-27 June 2023
by Jose Camacho Collados 14 Apr '23

14 Apr '23

============================================================== Call for Participation 2nd Cardiff NLP Workshop, 30 June and 1 July 2022 ============================================================== We are organising the 2nd Cardiff NLP Summer Workshop, a free in-person workshop on Natural Language Processing. It will take place from June 26 to June 27 2023 in the Abacws building in Cardiff (Wales, UK). The workshop is especially designed for PhD students and early career researchers, but everyone is welcome! Please fill the following expression of interest form by April 24th if interested in joining the workshop: <https://forms.gle/zzvHetEvWBTJeVW8A> https://docs.google.com/forms/d/e/1FAIpQLSeuxrsPy3qD6YdNSJiZ09rqQlnAGWzXQqL… Workshop Activities: * Invited speakers from academia and industry * Tutorials * Poster session and networking * Panel on large language models and NLP research Important Dates: * Application Period: 2 March-24 April * Notification of Acceptance: 28 April * Registration deadline: 13 June * Workshop: 30 June and 1 July 2022 For more details, please check the workshop website: https://www.cardiffnlpworkshop.org/ Cardiff NLP Organisation team -- Jose Camacho Collados http://www.josecamachocollados.com<http://www.josecamachocollados.com/>

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2025

2024

2023

2022