December 2023 - Corpora

First CfP: First International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security (NLPAICS’2024)
by t.ranasinghe＠aston.ac.uk 08 Dec '23

08 Dec '23

First International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security (NLPAICS’2024) Lancaster University, Lancaster, United Kingdom 29-30 July 2024 https://www.nlpaics.com First Call for Papers Recent advances in Natural Language Processing (NLP), Deep Learning and Large Language Models (LLMs) have resulted in improved performance of applications. . In particular, there has been a growing interest in employing AI methods in different Cyber Security applications. In today's digital world, Cyber Security has emerged as a heightened priority for both individual users and organisations. As the volume of online information grows exponentially, traditional security approaches often struggle to identify and prevent evolving security threats. The inadequacy of conventional security frameworks highlights the need for innovative solutions that can effectively navigate the complex digital landscape for ensuring robust security. NLP and AI in Cyber Security have vast potential to significantly enhance threat detection and mitigation by fostering the development of advanced security systems for autonomous identification, assessment, and response to security threats in real-time. Recognising this challenge and the capabilities of NLP and AI approaches to fortify Cyber Security systems, the First International Conference on Natural Language Processing (NLP) and Artificial Intelligence (AI) for Cyber Security (NLPAICS’2024) serves as a gathering place for researchers in NLP and AI methods for Cyber Security. We invite contributions that present the latest NLP and AI solutions for mitigating risks in processing digital information. Conference topics The conference invites submissions on a broad range of topics related to the employment of NLP and AI (and in general, language studies and models) for Cyber Security including but not limited to: Societal and Human Security and Safety • Content Legitimacy and Quality o Detection and mitigation of hate speech and offensive language o Fake news, deepfakes, misinformation and disinformation o Detection of machine generated language in multimodal context (text, speech and gesture) o Trust and credibility of online information • User Security and Safety o Cyberbullying and identification of internet offenders o Monitoring extremist fora o Suicide prevention o Clickbait and scam detection o Fake profile detection in online social networks • Technical Measures and Solutions o Social engineering identification, phishing detection o NLP for risk assessment o Controlled languages for safe messages o Prevention of malicious use of ai models o Forensic linguistics • Human Factors in Cyber Security Speech Technology and Multimodal Investigations for Cyber Security • Voice-based security: Analysis of voice recordings or transcripts for security threats • Detection of machine generated language in multimodal context (text, speech and gesture) • NLP and biometrics in multimodal context Data and Software Security • Cryptography • Digital forensics • Malware detection, obfuscation • Models for documentation • NLP for data privacy and leakage prevention (DLP) • Addressing dataset “poisoning” attacks Human-Centric Security and Support • Natural language understanding for chatbots: NLP-powered chatbots for user support and security incident reporting • User behaviour analysis: analysing user-generated text data (e.g., chat logs and emails) to detect insider threats or unusual behaviour • Human supervision of technology for Cyber Security Anomaly Detection and Threat Intelligence • Text-Based Anomaly Detection o Identification of unusual or suspicious patterns in logs, incident reports or other textual data o Detecting deviations from normal behaviour in system logs or network traffic • Threat Intelligence Analysis o Processing and analysing threat intelligence reports, news, articles and blogs on latest Cyber Security threats o Extracting key information and indicators of compromise (IoCs) from unstructured text Systems and Infrastructure Security • Systems Security o Anti-reverse engineering for protecting privacy and anonymity o Identification and mitigation of side-channel attacks o Authentication and access control o Enterprise-level mitigation o NLP for software vulnerability detection • Malware Detection through Code Analysis o Analysing code and scripts for malware o Detection using NLP to identify patterns indicative of malicious code Financial Cyber Security • Financial fraud detection • Financial risk detection • Algorithmic trading security • Secure online banking • Risk management in finance • Financial text analytics Ethics, Bias, and Legislation in Cyber Security • Ethical and Legal Issues o Digital privacy and identity management o The ethics of NLP and speech technology o Explainability of NLP and speech technology tools o Legislation against malicious use of AI o Regulatory issues • Bias and Security o Bias in Large Language Models (LLMs) o Bias in security related datasets and annotations Datasets and resources for Cyber Security Applications Specialised Security Applications and Open Topics • Intelligence applications • Emerging and innovative applications in Cyber Security Submissions and Publication NLPAICS welcomes high-quality submissions in English, which can take two forms: • Regular long papers: These can be up to eight (8) pages long, presenting substantial, original, completed, and unpublished work. • Short papers: These can be up to four (4) pages long and are suitable for describing small, focused contributions, negative results, system demonstrations, etc. Note that the page limits mentioned above exclude additional pages for references, ethical considerations, conflict-of-interest statements, as well as data and code availability statements. Papers must be anonymised to support double-blind reviewing. Please submit your work as pdf using the following link: https://softconf.com/n/nlpaics2024/ Submission templates can be accessed here: LaTeX Overleaf, LaTeX , MS Office Accepted papers, including both long and short papers, will be published as part of the same e-proceedings to be uploaded on ACL Anthology. Important dates • Submissions due: 5 April 2024 • Reviewing process: 25 April-31 May 2024 • Notification of acceptance: 5 June 2024 • Camera-ready due: 20 June 2024 • Conference: 29-30 July 2024 Venue The First International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security (NLPAICS’2024) will take place at Lancaster University and is organised by the Lancaster University UCREL NLP research group. Organisation • Conference Chair o Ruslan Mitkov (Lancaster University) • Conference Programme Chairs o Cengiz Acartürk (Jagiellonian University) o Matthew Bradbury (Lancaster University) o Mo El-Haj (Lancaster University) o Paul Rayson (Lancaster University) • Sponsorship Chair o Saad Ezzini (Lancaster University) • Publicity Chair o Tharindu Ranasinghe (Aston University) • Publication Chair o Ignatius Ezeani (Lancaster University) Contact For further information please refer to the conference website (nlpaics.com) for regular updates. General queries can be emailed to info(a)nlpaics.com

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First CfP: Joint Workshop on Multiword Expressions and Universal Dependencies (MWE-UD 2024)
by Kilian Evang 08 Dec '23

08 Dec '23

First CfP: Joint Workshop on Multiword Expressions and Universal Dependencies (MWE-UD 2024) Co-located with LREC-COLING 2024 Torino, Italy and online May 25, 2024 Workshop Webpage: https://multiword.org/mweud2024/ We are pleased to announce that the multiword expressions (MWE) and Universal Dependencies (UD) research communities are joining forces in 2024 to organize a joint workshop. This is a timely collaboration because the two communities clearly have overlapping interests. For instance, while UD has several dependency relations that can be used to annotate MWEs, both annotation guidelines (i.e. is syntactic irregularity and inflexibility or semantic non-compositionality the leading criterion?) and annotation practice (both across treebanks for a single language and across languages) for these relations can be improved (Schneider and Zeldes, 2021). The PARSEME MWE-annotated corpora for 26 languages build on UD annotated corpora (Savary et al., 2023). Both communities share an interest in developing guidelines, data-sets, and tools that can be applied to a wide range of typologically diverse languages, raising fundamental questions about tokenization, lemmatization, and morphological decomposition of tokens. Proposals for harmonizing annotation practices between what has been achieved in PARSEME and UD and expanding PARSEME MWE annotation to non-verbal MWEs are also central to the recently started UniDive COST action (CA21167) <https://unidive.lisn.upsaclay.fr/doku.php?id=start>. The workshop invites submissions of original research on MWE, UD, and the interplay of both. In particular, the following topics are especially relevant: - Sensitivity of LLMs to MWE and syntactic dependencies. Studies along the lines of Manning et al. (2020) (UD), Nedumpozhimana and Kelleher (2021), Garcia et al. (2021), Fakharian and Cook (2021), Moreau et al. (2018) (MWE), and others on the question to what extent LLMs make use of syntactic dependencies or are capable of detecting MWEs and capturing their semantics. - Applicability of UD and MWE annotation and discovery for low-resource and typologically diverse languages and language varieties. Both UD and PARSEME aim at universal applicability across a wide range of languages. Much theoretical, computational, and empirical work concentrates on high-resource languages however. Applying these frameworks to typologically diverse languages may lead one to reconsider the notion of token, word, and morphological segmentation, and to reassess the notion of MWE for languages that feature compounding or incorporation (Baldwin et al., 2021; Haspelmath, 2023). - Case studies. Studies on the consistency, coverage or universal applicability of MWE annotation in the UD or PARSEME frameworks, as well as studies on automatic detection and interpretation of MWEs in corpora. - MWE and UD processing to enhance end-user applications. MWEs have gained particular attention in end-user applications, including MT (Zaninello and Birch, 2020; Han et al., 2021), simplification (Kochmar et al., 2020), language learning and assessment (Paquot et al., 2019; Christiansen and Arnon, 2017), social media mining (Maisto et al., 2017), and abusive language detection (Zampieri et al., 2020; Caselli et al., 2020). We believe that it is crucial to extend and deepen these first attempts to integrate and evaluate MWE technology in these and further end-user applications. - Testing developed systems on the latest dataset versions. Authors are also encouraged to submit papers that test the developed systems using the recent UD 2.13 and/or PARSEME 1.3 releases. Organizational Details - The workshop is sponsored by ACL-SIGLEX <https://siglex.org/> and UniDive <https://unidive.lisn.upsaclay.fr/doku.php?id=start>. - UniDive members with accepted papers may be eligible for travel reimbursement. - If you are based in an underrepresented country or work on low-resource languages and have an accepted paper, you may be eligible for an ACL-SIGLEX travel grant of up to 500 USD. - The workshop follows LREC-COLING’s hybrid online/onsite format. - Workshop proceedings will be published in the ACL Anthology. - The workshop follows the ACL anti-harassment policy <https://www.aclweb.org/adminwiki/index.php/Anti-Harassment_Policy>. Submission Instructions The workshop invites two types of submissions: - archival submissions that present substantially original research in both long paper format (8 pages + references) and short paper format (4 pages + references) - non-archival submissions of abstracts describing relevant research presented/published elsewhere which will not be included in the MWE-UD proceedings. Papers should be submitted via the workshop’s START submission page (link will be provided once available). Please choose the appropriate submission format (archival/non-archival). Submissions must follow the LREC-COLING 2024 stylesheet <https://lrec-coling-2024.org/authors-kit/>. When submitting a paper from the START page, authors will be asked to provide essential information about resources (in a broad sense, i.e. also technologies, standards, evaluation kits, etc.) that have been used for the work described in the paper or are a new result of your research. Moreover, ELRA encourages all LREC-COLING authors to share the described LRs (data, tools, services, etc.) to enable their reuse and replicability of experiments (including evaluation ones) Archival papers with existing reviews from ACL Rolling Review will also be considered. A paper may not be simultaneously under review through ARR and MWE-UD. A paper that has or will receive reviews through ARR may not be submitted for review to MWE-UD. Important Dates (Tentative) Paper submission: Feb 25, 2024 ARR paper commitment: Mar 25, 2024 Notification of acceptance: Apr 1, 2024 Camera ready papers due: Apr 8, 2024 Workshop: May 25, 2024 All deadlines are at 23:59 UTC-12 (Anywhere on Earth). Organizing Committee Archna Bhatia, Gosse Bouma, Kilian Evang, Marcos Garcia, Voula Giouli, Lifeng Han, Joakim Nivre. For any inquiries contact the Organizing Committee at mweud2024-organizers(a)uni-duesseldorf.de.

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Paris Graduate School of Linguistics: masters programme
by Jonathan Ginzburg 08 Dec '23

08 Dec '23

Paris Graduate school of Linguistics offers 12 Masters specialties. Application for September 2024 is open https://mobility.smarts-up.fr/ Choose one or our master specialties and apply for a 10 000 euros /year grant https://paris-gsl.org/applying <https://paris-gsl.org/> Deadline: January 19th 2024 (5 pm Paris time) Please circulate this information Anne Abeillé Professor Head of Paris Graduate School of Linguistics https://paris-gsl.org/ Université Paris Cité

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Emerging Researcher: Data Analyst (British Council)
by Felice, Mariano (Exams) 08 Dec '23

08 Dec '23

An opportunity to join the Assessment Research Group at the British Council as Emerging Researcher: Data Analyst. Full details and link to application here: https://careers.britishcouncil.org/job/London-Emerging-Researcher-Data-Anal… For any enquiries, please contact Dr Karen Dunn at Karen.Dunn(a)britishcouncil.org<mailto:Karen.Dunn@britishcouncil.org>. Deadline for applications is 8th January. The British Council is the United Kingdom's international organisation for cultural relations and educational opportunities. A registered charity: 209131 (England and Wales) SC037733 (Scotland). This message is for the use of the intended recipient(s) only and may contain confidential information. If you have received this message in error, please notify the sender and delete it. The British Council accepts no liability for loss or damage caused by viruses and other malware and you are advised to carry out a virus and malware check on any attachments contained in this message.

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Job posting: Research Fellow in NLP for Clinical Linguistics
by Gloria Gagliardi 08 Dec '23

08 Dec '23

**With apologies for cross-posting** The Clinical Linguistics@LLiS Group at the University of Bologna, Italy, invites applications for a research position in NLP for Clinical Linguistics. The research activities will be carried out within the ReMind project - an ecological, cost-effective AI platform for early detection of prodromal stages of cognitive impairment, founded by MUR with the PRIN 2022 grant (CUP J53D23008380006), under the supervision of Prof. Gloria Gagliardi. We are looking for a proactive team member with a master’s degree or a PhD in Computer Science/Computational Linguistics. The candidate should have a strong background in corpus linguistics, machine learning and Natural Language Processing and good programming skills (i.e., Python). What we offer: - Duration: 18 months - Salary: 22.293,68 EUR/year (gross), around 1650 EUR/month (net) - Flexible working hours and home office arrangements For further information please contact Gloria Gagliardi (gloria.gagliardi(a)unibo.it). Interested? Apply here: https://bandi.unibo.it/ricerca/assegni-ricerca?id_bando=66888

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Postdoctoral position in natural language processing, Univ. Lorraine, Nancy, France
by Mathieu Constant 07 Dec '23

07 Dec '23

The Research unit ATILF (Computer Processing and Analysis of the French Language) offers a postdoctoral position in natural language processing (NLP). Topic: Discovery of multiword expressions, their meaning and their linguistic properties in texts using large language models Location: ATILF, Nancy, France Starting date: from February 2024 Duration: 12 months (possibility to extend the duration for one more year) Supervisors: Mathieu Constant (Univ. Lorraine, France) and Agata Savary (Univ. Paris-Saclay, France) Salary: depends on experience after PhD and salary grids, from 3070 (<2-year experience) to 4465 euros (>7-year-experience) before tax Application deadline: 14th December 2023 (extended deadline) Subject. The term « multiword expression » refers to a combination of multiple lexical items that displays irregular composition possibly on different linguistic levels (morphology, syntax, semantics, …). They include a large variety of phenomena such as idioms (run around in circles), support verb constructions (take a walk), nominal compounds (dry run), complex function units (in spite of). They have been the subject of extensive research work in the NLP community over the last 50 years. The goal of this post-doc position is to investigate new methods for discovering multiword expressions, their meaning and their linguistic properties in texts, in order to enrich an induced semantic lexicon with new multiword entries, definitions, argumental structure, and other properties. The emergence of Large Language Models (LLM) opens new promising perspectives for multiword expressions, not only regarding their semantic compositionality but also their linguistic characterization. The methods will be primarily experimented on French, but other languages are also possible. Context. The position is part of the SELEXINI project (https://selexini.lis-lab.fr <https://selexini.lis-lab.fr/>, 2022-2026) funded by the French National Research Agency (ANR). The goal of the SELEXINI project is to develop next-generation lexicon induction methods for natural language processing. The induced lexicons will not only cluster word usages according to their senses, but also contain multiword expressions, argumental structure, generated definitions, etc, combining the power of large pre-trained language models and existing lexical resources to address the lack of interpretability and diversity in current language technology. The hired researcher will be fully integrated in the project team. Requirements. Applicants should hold a PhD thesis in computer science, in applied mathematics, in natural language processing, or in computational linguistics. Applications from PhD students planning their defense by December 31st, 2023 are also welcome. The hired post-doc researcher should have the following skills: expertise in deep learning for NLP and notably large language models excellent programming skills good linguistic skills good knowledge of French would be a plus team spirit Application. The applicants should submit a cover letter, a CV including their publications, a list of references for recommendation, a transcript of Master grades, on the following official web site: https://emploi.cnrs.fr/Offres/CDD/UMR7118-SABMAR-017/Default.aspx?Lang=EN <https://emploi.cnrs.fr/Offres/CDD/UMR7118-SABMAR-017/Default.aspx?Lang=EN>. The applications should be submitted not later than December 14.

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ELRA Catalogue of Language Resources - Update
by info＠elda.org 07 Dec '23

07 Dec '23

[Apologies for multiple postings] We are happy to announce that 3 new monolingual lexicons are now available in our catalogue. DiaLEX – Egyptian (DiaLEX-EA) <https://catalog.elra.info/en-us/repository/browse/ELRA-L0206/> ISLRN: 697-328-151-668-9 <http://www.islrn.org/resources/697-328-151-668-9> A comprehensive full-form lexicon of Egyptian Arabic general vocabulary (DiaLEX-EA) including 78 million entries for 31,000 lemmas with all inflected forms, enclitics, proclitics, case endings, declensions, and conjugated forms. Each entry is accompanied by a full and accurate diacriticization (vocalization) as well as an extensive coverage of variants. The lexicon is ideally suited to support natural language processing applications for Egyptian Arabic, especially morphological analysis and speech technology. Quantity and size: 75,204,644 lines / 11,217 MB (11.0 GB) DiaLEX – Emirati (DiaLEX-UA) <https://catalog.elra.info/en-us/repository/browse/ELRA-L0207/> ISLRN: 836-793-503-213-8 <http://www.islrn.org/resources/836-793-503-213-8> A comprehensive full-form lexicon of Emirati Arabic general vocabulary (DiaLEX-UA) including 28 million entries for 29,000 lemmas with all inflected forms, enclitics, proclitics, case endings, declensions, and conjugated forms. Each entry is accompanied by a full and accurate diacriticization (vocalization) as well as an extensive coverage of variants. The lexicon is ideally suited to support natural language processing applications for Emirati Arabic, especially morphological analysis and speech technology. Quantity and size: 24,976,871 lines / 3,841 MB (3.8 GB) DiaLEX – Saudi Arabian Hijazi (DiaLEX-HA) <https://catalog.elra.info/en-us/repository/browse/ELRA-L0208/> ISLRN: 849-157-479-216-3 <http://www.islrn.org/resources/849-157-479-216-3> A comprehensive full-form lexicon of Hijazi Arabic general vocabulary (DiaLEX-HA) including 21 million entries for 30,000 lemmas with all inflected forms, enclitics, proclitics, case endings, declensions, and conjugated forms. Each entry is accompanied by a full and accurate diacriticization (vocalization) as well as an extensive coverage of variants. The lexicon is ideally suited to support natural language processing applications for Hijazi Arabic, especially morphological analysis and speech technology. Quantity and size: 20,247,655 lines / 2,835 MB (2.8 GB) For more information on the catalogue or if you would like to enquire about having your resources distributed by ELRA, please contact us <mailto:contact@elda.org>. _________________________________________ Visit the ELRA Catalogue of Language Resources <http://catalog.elra.info> Visit the Universal Catalogue <http://universal.elra.info> Archives <http://www.elra.info/en/catalogues/language-resources-announcements> of ELRA Language Resources Catalogue Updates

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Announcement: Release of BabelNet 5.3
by Roberto Navigli 07 Dec '23

07 Dec '23

Release of BabelNet 5.3 https://babelnet.org We are proud to announce the release of a new version of BabelNet <https://babelnet.org/> and its programmatic *Java and Python API*, developed jointly by the Sapienza NLP Group <http://nlp.uniroma1.it> of *Sapienza University of Rome* under the supervision of prof. Roberto Navigli <https://www.diag.uniroma1.it/navigli/> and Babelscape <http://babelscape.com/>, *a deep-tech multilingual NLP company* providing innovative solutions for natural language understanding. BabelNet -- winner of the *prominent paper award 2017* from the Artificial Intelligence Journal and the META prize 2015, and covered in media such as The Guardian <https://www.theguardian.com/news/2018/feb/23/oxford-english-dictionary-can-…> and Time Magazine <http://wwwusers.di.uniroma1.it/~navigli/img/Redefining_the_modern_dictionar…> -- is today's *most far-reaching multilingual lexical-semantic knowledge graph* which, according to need, can be used as an *encyclopedic dictionary*, or a *semantic network* or a huge *knowledge base/ontology* e.g. to be integrated into *deep learning solutions*. It has been used by more than *1000 universities and research institutions*, enabling multilinguality in several fields of AI and NLP, such as multilingual semantic search, Word Sense Disambiguation and Entity Linking, Semantic Role Labeling, image tagging and semantically-enhanced multimodality. BabelNet was created by means of the seamless integration and interlinking of the largest multilingual Web encyclopedia - i.e., Wikipedia - with the most popular computational lexicon of English - i.e., WordNet, and other lexical-semantic resources such as Wikidata, Wiktionary, OmegaWiki, dozens of wordnets (including Open English WordNet), GeoNames, and ImageNet. The BabelNet model is centered around *multilingual synsets*, i.e., concepts and named entities lexicalized in many languages, and connected with large amounts of semantic relations. *Version 5.3* ships with the following features: - *80 new languages* for a grand total of *600 languages*; - *23 million synsets* covered; - *Lemma casing updated in 24 languages*; - *Wikipedia and Wikidata updated* thanks to BabelNet live (November 2023 dump); - *Open English WordNet* has been updated to version 2023; - *Images* associated with synsets have been updated; - *Wiktionary* has been *updated* and *20k new concepts* have been integrated (November 2023 dump); - *Significantly improved cross-lingual resource mapping*, ensuring more accurate and contextually relevant lexicalizations and translations; - *General data cleanup* (glosses, senses, Named Entity vs. Concept labels); - *Wikipedia multilingual labels updated.* More statistics are available at: babelnet.org/statistics. Kind regards, The BabelNet group -- ============================================== Roberto Navigli* - Professor* Department of Computer, Control and Management Engineering Sapienza University of Rome Via Ariosto, 25 00185 Roma Italy Phone: +39 06 77274109 Home Page: https://www.diag.uniroma1.it/navigli/ Sapienza NLP Group: http://nlp.uniroma1.it Co-founder of Babelscape <https://babelscape.com> ==============================================

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Third CFP-Fourth Workshop on Language Technology for Equality, Diversity, Inclusion (LT-EDI-2024) at EACL 2024-reg
by Bharathi Raja Asoka Chakravarthi 06 Dec '23

06 Dec '23

Apologies for cross posting *Fourth Workshop on Language Technology for Equality, Diversity, Inclusion (LT-EDI-2024) at EACL 2024* *Website link: https://sites.google.com/view/lt-edi-2024/ <https://sites.google.com/view/lt-edi-2024/>* Equality, Diversity and Inclusion (EDI) is an important agenda across every field throughout the world. Language as a major part of communication should be inclusive and treat everyone with equality. Today’s large internet community uses language technology (LT) and has a direct impact on people across the globe. EDI is crucial to ensure everyone is valued and included, so it is necessary to build LT that serves this purpose. Recent results have shown that big data and deep learning are entrenching existing biases and that some algorithms are even naturally biased due to problems such as ‘regression to the mode’. Our focus is on creating LT that will be more inclusive of gender, racial, sexual orientation, persons with disability. The workshop will focus on creating speech and language technology to address EDI not only in English, but also in less resourced languages. The broader objective of LT-EDI-2024 will be - To investigate challenges related to speech and language resource creation for EDI. - To promote research in inclusive LT. - To adopt and adapt appropriate LT models to suit EDI. - To provide opportunities for researchers from the LT community around the world to collaborate with other researchers to identify and propose possible solutions for the challenges of EDI. Our workshop theme focuses on being more inclusive and providing a platform for researchers to create LT of a more inclusive nature. We hope that through these engagements we can develop LT tools to be more inclusive of everyone, including marginalized people. *Call for Papers:* Our main theme in this workshop is equality, diversity, and inclusivity in LT. We invite researchers and practitioners to submit papers reporting on these issues and datasets to avoid these issues. We also encourage qualitative studies related to these issues and how to avoid them. LT-EDI- 2024 welcomes theoretical and practical paper submissions on any languages that contribute to research in Equality, Diversity and Inclusion. We will particularly encourage studies that address either practical application or improving resources. *Topics of interest include, but are not limited to:* - Data set development to include EDI - Gender inclusivity in LT - LGBTQ+ inclusivity in LT - Racial inclusivity in LT - Persons with disability inclusivity in LT - Speech and language recognition for minority groups - Unconscious bias and how to avoid them in natural language processing, machine learning and other LT technologies. - Tackling rumours and fake news about gender, racial, and LGBTQ+ minorities. - Tackling discrimination against gender, racial, and LGBTQ+ minorities. Submissions: At LTEDI we accept the following submission types: - Long paper submissions must describe substantial, original, completed and unpublished work. Wherever appropriate, concrete evaluation and analysis should be included. Long papers may consist of up to 8 pages of content, plus unlimited pages for references and appendices. Upon acceptance, long papers will be given one additional page of content (i.e. up to 9 pages) in the proceedings so that reviewers’ comments can be taken into account. - Short paper submissions must describe original and unpublished work. Please note that a short paper is not a shortened long paper. Instead, short papers should have a point that can be made in a few pages. Short papers may consist of up to 4 pages of content, plus unlimited references and appendices. Upon acceptance, short papers will be given one additional page of content (i.e. up to 5 pages) in the proceedings so that reviewers’ comments can be taken into account. - Poster and demo submissions should be no longer than 4 pages (plus unlimited number of pages for references and ethics/broader impact statement). More information on submission can be found at https://sites.google.com/view/lt-edi-2024/submission For electronic submission of all papers, please use: https://openreview.net/group?id=eacl.org/EACL/2024/Workshop/LTEDI *Important Dates* - Workshop paper due: December 12, 2023 - Direct Submission deadline (pre-reviewed ARR & main conference) January 17, 2024 - Notification of acceptance: January 15, 2024 - Camera-ready papers due: January 25 2024 - Workshop dates: March 21-22, 2024 with regards, Dr. Bharathi Raja Chakravarthi, Assistant Professor / Lecturer-above-the-bar School of Computer Science, University of Galway, Ireland Insight SFI Research Centre for Data Analytics, Data Science Institute, University of Galway, Ireland E-mail: bharathiraja.akr(a)gmail.com , bharathi.raja(a)universityofgalway.ie <bharathiraja.asokachakravarthi(a)universityofgalway.ie> Google Scholar: https://scholar.google.com/citations?user=irCl028AAAAJ&hl=en Website: https://www.universityofgalway.ie/our-research/people/computer-science/bhar… <https://www.universityofgalway.ie/our-research/people/computer-science/bhar…>

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ILLC-NLP 2024 - First Workshop on NLP for Indigenous Languages of Lusophone Countries
by Aline Paes 06 Dec '23

06 Dec '23

With great enthusiasm, we announce the first edition of the *Natural Language Processing (NLP) Workshop for Indigenous Languages of Lusophone Countries*. The workshop aims to explore, discuss, and enhance the development of resources, methods, and applications of NLP for indigenous languages, especially those spoken or that have influenced languages spoken in countries where Portuguese is currently the official language. We hope to contribute to the preservation and promotion of these languages. The workshop will be held in conjunction with PROPOR 2024. *Workshop Date: 13 or 14 March 2024, in Santiago de Compostela.* *Paper Submission: 5 January 2024 AoE.* *More information: *https://sites.google.com/view/illc-nlp-2024/home This event aims to expand knowledge and research in NLP for underrepresented languages. We encourage the participation of everyone who shares an interest in preserving and enriching the linguistic and cultural heritage of indigenous languages in a broad sense. This way, we welcome the submission of works including languages from all Portuguese-speaking nations, like those of African origin in Angola, Mozambique, and the Atlantic islands, as well as minority languages in Portugal. Please help us spread the word about this event by sharing this call with your contacts and institutions. Your participation and support are crucial for the success of this workshop. We are excited to see your contributions and active participation. Sincerely, Aline Paes, Aline Villavicencio, Claudio Pinhanez, Edward Gow-Smith, Paulo Rodrigo Cavalin (Workshop organisers) ------------------------------------------------------------------------------------------------- *Profa. Dra. Aline Paes (she/her)* *Associate professor - Computer Science (Artificial Intelligence)* Institute of Computing / Universidade Federal Fluminense (IC/UFF) Member of CE-PLN <https://sites.google.com/view/ce-pln/inicio> and BPLN <https://brasileiraspln.com/> CNPq PQ-2 and FAPERJ JCNE __________________________________________________________ url: www.ic.uff.br/~alinepaes Av Gal Milton Tavares de Souza, S/N, Computing Building, Office 504 São Domingos, Niterói, RJ, Brazil. ZIP 24210-346 ------------------------------------------------------------------------------------------------- ****Please do not feel any pressure to respond out of your own regular working hours. Remember that this is supposed to be an asynchronous tool***

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