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CfP 12th International Conference on CMC and Social Media Corpora for the Humanities (CMC-Corpora)
by Fábián-Trost, Annamária 18 Dec '24

18 Dec '24

Dear List, the 12th International Conference on CMC and Social Media Corpora for the Humanities (CMC-Corpora) will be held at the University of Bayreuth, Germany, on the 4th and 5th of September 2025 (CfP below and attached). Keynotes Gavin Brookes (Lancaster University) Stephanie Evert (Friedrich-Alexander University Erlangen-Nuremberg) Deadline paper/abstract submission: 15th May 2025, 23:59 CEST The conference brings together language-centered research on CMC and social media in linguistics, philologies, communication sciences, media, and social sciences with research questions from the fields of corpus and computational linguistics, language technology, text technology, and machine learning. We adhere to a wide definition of CMC and social media, covering various media of digital communication, including email, newsgroups, forums, chat and messenger applications (e.g. WhatsApp), social networks (e.g. Facebook, Instagram, X, TikTok), gaming platforms, as well as interactions in the communication areas of video portals (YouTube), learning platforms, gaming apps, online games and virtual worlds. We invite submissions to the 12th conference on following topics: * Development of CMC corpora / social media corpora * Building CMC corpora: from data collection to publication * Open access data for CMC research: ethical and GDPR issues * Annotating CMC data: genres, linguistic aspects, metadata * Multimodal corpora * Big data corpora * Analysis of CMC corpora / social media corpora * Sociolinguistic studies of CMC * Discourse analysis of CMC * Linguistic characteristics of CMC * Multimodal (incl. visual) aspects of CMC * Multilingualism and code-switching in CMC * CMC in language education * Natural language processing (NLP) of CMC data / social media data * Normalization * PoS tagging * Lemmatization * Syntactic parsing * CMC for the benefit of digital societies * Interdisciplinary research design and research methods in CMC for the benefit of digital societies * Exploration of Diversity and Inclusion in CMC * Intersection of CMC and Social Sciences * Intersection of CMC and Human-Centered Data Science * Intersection of CMC and Computational Social Science * Contrastive CM studies across different languages The conference language is English. Submissions will consist of: * Short papers (2-4 pages – maximal 6 pages including the list of references –, following the existing template) for oral presentations * Abstracts (max. 300 words) for poster presentations Submission and review Authors of accepted papers are invited to present their work at the conference (30-minute timeslots: 20-minute talks, followed by 10 minutes of discussion). Authors of accepted abstracts can present their work in progress or early-stage research during the poster session. At the start of the conference, all accepted papers will be made available in online proceedings. After the conference, speakers with the best contributions will be invited to submit extended papers for one or more special issue journal or a volume publication. Instructions for authors All contributions will be collected through an online platform (ConfTool). Templates Submission templates for MS Word and LaTeX are provided on the conference’s homepage: https://www.cmc2025.uni-bayreuth.de/en/. Important Dates * Platform opening for short paper and abstract submission: 17th February 2025 * Deadline paper/abstract submission: 15th May 2025, 23:59 CEST More information on the CMC2025 conference: https://www.cmc2025.uni-bayreuth.de/en/ For all enquiries, please contact the organizers at cmc2025(a)uni-bayreuth.de. More information on the “International Conference Series on CMC and Social Media Corpora (cmc-corpora)”: https://cmc-corpora.org/series/# Local organizing committee: * Dr. Annamária Fábián (University of Bayreuth/Bavarian Research Institute for Digital Transformation at the Bavarian Academy of Science) * Prof. Dr. Igor Trost (Alpen-Adria University Klagenfurt/University of Passau) Scientific chairs: * Dr. Steven Coats (University Oulu) * Dr. Annamária Fábián (University of Bayreuth) * Prof. Dr. Julien Longhi (CY Cergy Paris University) * Prof. Igor Trost (Alpen-Adria University Klagenfurt/U. of Passau) * Prof. Reinhild Vandekerckhove (University of Antwerp) * Dr. Lieke Verheijen (Radboud University) Scientific committee (so far confirmed): * Paul Baker (Lancaster University) * Gavin Brookes (Lancaster University) * Noah Bubenhofer (University of Zürich) * Mario Cal Varela (Universidade de Santiago de Compostela) * Louis Cotgrove (Leibniz-Institut für Deutsche Sprache Mannheim) * Steven Coats (University of Oulu) * Orphée DeClercq (Ghent University) * Stephanie Evert (Friedrich-Alexander University Erlangen-Nüremberg) * Francisco Javier Fernández Polo (University of Santiago de Compostela) * Annamária Fábián (University of Bayreuth/Bavarian Research Institute for Digital Transformation – Bavarian Academy of Science) * Jenny Frey (European Academy of Bozen) * Aivars Glaznieks (Eurac Research Bolzano) * Claire Hardaker (Lancaster University) * Stefan Hartmann (Heinrich-Heine-University Düsseldorf) * Iris Hendrickx (Radboud University Nijmegen) * Axel Herold (Berlin-Brandenburgische Akademie der Wissenschaften) * Besim Kabashi (Friedrich-Alexander University Erlangen-Nüremberg) * Erik-Tjong Kim-Sang (Netherlands eScience Center) * Alexander Koenig (CLARIN ERIC) * Marc Kupietz (Leibniz-Institut für deutsche Sprache Mannheim) * Mikko Laitinen (University of Eastern Finland) * Els Lefever (Ghent University) * Julien Longhi (Cergy-Pontoise Université) * Harald Lüngen (Leibniz-Institut für deutsche Sprache Mannheim) * Konstanze Marx-Wischnowski (University of Greifswald) * Maja Miličević-Petrović (University of Bologna) * Nelleke Oostdijk (Radboud University) * Jan Oliver Rüdiger (Leibniz-Institut für deutsche Sprache Mannheim) * Tatjana Scheffler (Ruhr-Universität Bochum) * Steven Schoonjans (Alpen-Adria University Klagenfurt) * Mirco Schönfeld (University of Bayreuth) * Stefania Spina (Università per Stranieri di Perugia) * Egon Stemle (Eurac Research) * Caroline Tagg (The Open University) * Stefanie Ullmann (University of Cambridge) * Igor Trost (Alpen-Adria University Klagenfurt/Universität Passau) * Reinhild Vandekerckhove (University of Antwerp) * Lieke Verheijen (Radboud University) * Stefanie Walter (Technical University Munich) * Katrin Weller (GESIS Cologne) All the best, Annamaria Fabian (Bayreuth) and Igor Trost (Klagenfurt/Passau) Dr. Annamaria Fabian Principal Investigator (Post-Doc) of the project "Disability diversity and the communicative realization of inclusion on Social Media" Department German Linguistics University of Bayreuth https://www.gl.uni-bayreuth.de/de/team/A-Fabian/index.php Member of the Bavarian Research Institute for Digital Transformation (Bavarian Academy of Science) Head of the Research Group "Diversity and Inclusion in Digital Societies" Newly published: Annamaria Fabian, Igor Trost, Kevin Altmann & Mara Schwind (2024): The analysis of ‘inclusion’ and ‘accessibility’ in Computer-Mediated-Communication for an inclusive transformation in digital societies. pp. 16-20 (double-side print). In: Céline Poudat, Mathilde Guernut. Proceedings of the 11th Conference on CMC and Social Media Corpora for the Humanities. 11th Conference on CMC and Social Media Corpora for the Humanities (CMC 2024), CORLI; Université Côte d’Azur, 2024. halshs-04673776v1 available here: https://cmc-corpora-nice.sciencesconf.org/data/pages/CMC2024_2_.pdf

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1st CFP: The 19th Linguistic Annotation Workshop (LAW-XIX)
by Ines Rehbein 18 Dec '24

18 Dec '24

Call for Papers: The 19th Linguistic Annotation Workshop (LAW-XIX) We invite submissions for LAW-XIX, co-located with ACL 2025 in Vienna, Austria, in July/Aug 2025. The LAW-XIX will provide a forum for presentation and discussion of innovative research on all aspects of linguistic annotation, including creation/evaluation of annotation schemes, methods for automatic and manual annotation, use and evaluation of annotation software and frameworks, representation of linguistic data and annotations, semi-supervised “human in the loop” methods of annotation, crowd-sourcing approaches, and more. Special Theme The special theme of LAW-XIX is "*Subjectivity and variation in linguistic annotations*". In addition to LAW's general topics, we specifically invite submissions on: * Subjectivity and human label variation in linguistic annotations * Learning from annotation disagreements * Detecting annotation noise in human label variation * Accounting for subjectivity in label aggregation * Ways to aggregate multiple annotators' labels beyond majority vote * Any other topics related to the special theme. Regarding subjectivity, we are particularly interested in work addressing the*annotation of multidimensional constructs from the political and social sciences* and encourage submissions on the following topics: * Theory-driven operationalization of complex political or socio-psychological constructs, * such as populism, moral values, or stereotypes Creation of linguistically annotated datasets that capture such constructs * Relation between theories and textual annotations * Challenges for the measurement of multidimensional constructs from text * Challenges for validating (a) theories, (b) annotations * Implications and risks for manual annotation and automatic prediction of socio-psychological constructs from text. Important Dates All submission deadlines are 11:59 p.m. UTC-12:00 “anywhere on Earth.” Workshop papers due (ARR Commitment) Mar 25, 2025 Workshop papers due (Direct Submission) April 04, 2025 Notification of acceptance May 16, 2025 Camera-ready papers due May 30, 2025 Workshop date July/Aug, 2025 Submissions For more information on the workshop and submission formats, please refer to the workshop homepage: https://sigann.github.io/LAW-XIX-2025 If you have any questions, please feel free to contact the program co-chairs at law2025workshop(a)gmail.com. Workshop Organizers Siyao (Logan) Peng (Program Co-Chair) Ines Rehbein (Program Co-Chair) Amir Zeldes (ACL SIGANN President) -- Ines Rehbein Data and Web Science Group University of Mannheim, Germany

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Fully funded PhD positions in Language Technology, University of Gothenburg, Sweden
by Dimitrios Kokkinakis 18 Dec '24

18 Dec '24

Dear colleagues, Apologies for cross-postings. We are inviting applications for one (or more) fully funded PhD positions in Language Technology. Location: Department of Swedish, Multilingualism, Language Technology, University of Gothenburg, Sweden. Type of employment: Fixed-term employment, 4 years Basis: 100% Deadline for applications: March 3rd, 2025 (24:00, CET). First day of employment: September 1st, 2025, or as soon as possible after this date, by agreement. For candidate requirements, application instructions, and further details, please visit this link: https://web103.reachmee.com/ext/I005/1035/job?site=7&lang=UK&validator=9b89… Please forward this announcement to candidates who might be interested. Best regards, Dimitrios Kokkinakis

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Podcast Corpus - French and English
by michelecardo1＠gmail.com 17 Dec '24

17 Dec '24

Hello all, I am a PhD student at Université Paris Cité working on a project about question sequences in monologic discourse. I am trying to find a corpus of podcasts in French and English where there is one speaker. Does anyone have access to such a corpus or might be able to lead me in the right direction? I would be ever so grateful for any help or ideas of the best way to proceed. Sincerely, Michele Cardo

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December 2024 Newsletter - LDC
by Penn LDC 16 Dec '24

16 Dec '24

In this newsletter: LDC 2025 membership discounts now available Approaching deadline for Spring 2025 data scholarship applications LDC closed for Winter Break December 25-January 1 New publications: MATERIAL Farsi-English Language Pack<https://catalog.ldc.upenn.edu/LDC2024S13> Abstract Meaning Representation 3.0 - Machine Translations<https://catalog.ldc.upenn.edu/LDC2024T11> ________________________________ LDC 2025 membership discounts now available Now through March 3, 2025, current 2024 members receive a 10% discount for renewing their membership, and new or returning organizations receive a 5% discount. Membership remains the most economical way to access current and past LDC releases. Consult Join LDC<https://www.ldc.upenn.edu/members/join-ldc> for details on membership options and benefits. Approaching deadline for Spring 2025 data scholarship applications Attention students: don't miss out on the chance to receive no-cost access to LDC data for your research. Applications for Spring 2025 data scholarships are due January 15, 2025. For more information on requirements and program rules, see LDC Data Scholarships<https://www.ldc.upenn.edu/language-resources/data/data-scholarships>. LDC closed for Winter Break December 25-January 1 LDC will be closed from Wednesday December 25, 2024, through Wednesday, January 1, 2025, in accordance with the University of Pennsylvania Winter Break Policy. Our offices will reopen on Thursday, January 2, 2025. Requests received by the Membership Office during Winter Break will be processed when the office reopens. ________________________________ New publications: MATERIAL Farsi-English Language Pack<https://catalog.ldc.upenn.edu/LDC2024S13> was developed by Appen<http://www.appen.com/> for the IARPA MATERIAL<https://www.iarpa.gov/index.php/research-programs/material> program and contains 61 hours of Farsi conversational telephone speech, transcripts, English translations, annotations, and queries. Calls were made using different telephones (e.g., mobile, landline) from a variety of environments. Transcripts cover approximately 30% of the speech files, and approximately 3% of the speech files were translated into English. This release also includes English queries and their relevance annotations. The MATERIAL program focused on underserved languages with the ultimate goal to build cross language information retrieval systems to find speech and text content using English search queries. 2024 members can access this corpus through their LDC accounts provided they have submitted a completed copy of the special license agreement. Non-members may license this data for a fee. * Abstract Meaning Representation 3.0 - Machine Translations<https://catalog.ldc.upenn.edu/LDC2024T11> was developed by the Center for Computational Linguistics at KU Leuven<https://www.arts.kuleuven.be/ling/ccl> in the HORIZON2020<https://research-and-innovation.ec.europa.eu/funding/funding-opportunities/…> project SignON<https://cordis.europa.eu/project/id/101017255>. It is an automatic translation of a subset of sentences from Abstract Meaning Representation (AMR) Annotation Release 3.0 (LDC2020T02)<https://catalog.ldc.upenn.edu/LDC2020T02> into Spanish, Irish Gaelic, and Dutch. AMR 3.0 training, development, and test splits were translated using Google Translate<https://translate.google.com>. "Unsplit" directories were not translated and are not included in this release. Translations were not manually verified, but formal issues (such as unexpected new lines) were corrected, and special tokens and encoding issues were fixed with the Python tool ftfy.fix_text<https://ftfy.readthedocs.io/en/latest/>. AMR 3.0 is a semantic treebank of over 59,000 English natural language sentences drawn from material collected by LDC, specifically, discussion forum text from the DARPA BOLT and DARPA DEFT programs, transcripts and English translations of Mandarin Chinese broadcast news programming, Wall Street Journal text, translated Xinhua news texts, various newswire texts from NIST OpenMT evaluations, and weblog data from the DARPA GALE program. 2024 members can access this corpus through their LDC accounts. Non-members may license this data for a fee. To unsubscribe from this newsletter, log in to your LDC account<https://catalog.ldc.upenn.edu/login> and uncheck the box next to "Receive Newsletter" under Account Options or contact LDC for assistance. Membership Coordinator Linguistic Data Consortium<ldc.upenn.edu> University of Pennsylvania T: +1-215-573-1275 E: ldc(a)ldc.upenn.edu<mailto:ldc@ldc.upenn.edu> M: 3600 Market St. Suite 810 Philadelphia, PA 19104

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SMASH: Fourth Call for Postdoc Fellowships
by Matthew Purver 16 Dec '24

16 Dec '24

The SMASH programme has just opened its fourth and final call for applications, for 2-year postdoc fellowships on a range of topics that includes "Linguistic knowledge injection into deep learning" and "Cross-lingual transfer for less-resourced languages". Please see below for more info: ---------- Forwarded message --------- From: Smash <smash(a)ung.si> The fourth call for applications for SMASH postdoctoral Fellowships, co-funded by Marie Sklodowska Curie Actions, is now open! It offers excellent research opportunities that revolve around machine learning and its applications to the fields of climate research, linguistics, precision medicine and fundamental physics. In this call, SMASH aims to hire about 6 fellows who will be hosted in five Slovenian institutions. They can also spend up to 1/3 of their 2-years appointments at one of our international academic partners (including top EU centres like Gravitation and Astroparticle Physics at the University of Amsterdam, and world-leading institutions like CERN and UC Berkeley) or at some of the most successful Slovenian companies. Each 2-year fellowship offers excellent working conditions, access to top infrastructure (including the HPC Vega), substantial research and travel funds and a salary that is significantly higher than local costs of living. The SMASH program values an inclusive culture and believes diversity is the key to success, so SMASH warmly welcomes applicants from underrepresented groups. Note also that SMASH offers a dedicated allowance to support applicants with special needs. In order to apply, fellows need to contact their desired supervisor who will assist them in preparing short research proposals and provide them with the necessary letters of support from the host institutions. *For more information see:https://smash.ung.si/open-call-4/ <https://smash.ung.si/open-call-4/> .* *The application deadline is April 1st 2025.* -- -- Matthew Purver - http://www.eecs.qmul.ac.uk/~mpurver/ Computational Linguistics Lab - http://compling.eecs.qmul.ac.uk/ Cognitive Science Research Group - http://cogsci.eecs.qmul.ac.uk/ School of Electronic Engineering and Computer Science Queen Mary University of London, London E1 4NS, UK *My working days for QMUL are **Tuesday-Thursday**; responses to mail on other days may be delayed.*

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Deadline 15th January: 5-6 months M2 internship, A computational socio-linguistic exploration of the Ethics of AI landscape, at Télécom Paris
by Maria Boritchev 16 Dec '24

16 Dec '24

Hi everyone, Tiphaine Viard and Maria Boritchev are offering a master 2 internship at Télécom Paris. Feel free to contact us if you have any questions about the offer or the project, the details on the offer are below: Title: A computational socio-linguistic exploration of the Ethics of AI landscape Duration: 5-6 months, starting from April 1st (flexible) Location: Télécom Paris, 19 Pl. Marguerite Perey, 91120 Palaiseau, France Advisors: [ https://mboritchev.github.io/page-perso-TP/ | Maria Boritchev ] , [ https://tiphainev.github.io/ | Tiphaine Viard ] Gratification: Approximately 600 euros per month (more or less 20 euros per month, the precise amount will depend on changes in the French labor code in 2025). Context: The recent years have seen a surge of initiatives with the goal of defining what “ethical” artificial intelligence would or should entail, resulting in the publication of various charters and manifestos discussing AI ethics; these documents originate from academia, AI industry companies, non-profits, regulatory institutions, and the civil society. The contents of such documents vary wildly, from short, vague position statements to verbatims of democratic debates or impact assessment studies. As such, they are a marker of the social world of artificial intelligence, outlining the tenets of different actors, the consensus and dissensus on important goals, and so on [1]. We have assembled a corpus of charters and manifestos of Ethics of AI, in English, written by different actors of the current AI landscape. This corpus is called MapAIE: [ https://mapaie.telecom-paris.fr/ | https://mapaie.telecom-paris.fr/ ] . We are conducting research on data from MapAIE both from a sociological and linguistic perspectives: * Sociologically, who are the groups of people who write about Ethics of AI? * Linguistically, what type of vocabulary or semantic constructions do people use to write about Ethics of AI? * Socio-linguistically, is there a difference in linguistic usage between different groups of people who write about Ethics of AI? To conduct these investigations, we would like to go further than traditional tools: we intend to develop graph-based natural language processing and computational sociology approaches making better use of modern NLP methods to explore our data. In particular, we could to exploit word sense induction approaches to automatically extract different linguistic usages. Objectives: The goal of this internship is to investigate MapAIE by using and developing graph-based natural language processing and computational sociology approaches. The internship will proceed in three steps: (1) Conduct a state of the art exploration on existing graph-based natural language processing and computational sociology techniques, starting from Abstract Meaning Representations (AMR, [ https://github.com/amrisi/amr-guidelines/blob/master/amr.md | https://github.com/amrisi/amr-guidelines/blob/master/amr.md ] ) and Cortext ( [ https://www.cortext.net/ | https://www.cortext.net/ ] ). (2) Re-implement existing techniques identified in (1), in particular [2], and analyse the obtained results sociologically and linguistically in view of the research questions of the project. (3) Propose new research questions and new graph-based data exploration approaches relevant to MapAIE. Bibliography: [1] Mapping AI ethics: a meso-scale analysis of its charters and manifestos, Mélanie Gornet, Simon Delarue, Maria Boritchev, and Tiphaine Viard, ACM Conference on Fairness, Accountability and Transparency 2024. [2] Matan Eyal, Shoval Sadde, Hillel Taub-Tabib, and Yoav Goldberg. 2022. Large Scale Substitution-based Word Sense Induction. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics. [3] Roth, C., & Hellsten, I. (2023). Socio-semantic configuration of an online conversation space: The case of Twitter users discussing the# IPCC reports. Social Networks, 75, 186-196. [4] Becker, H. S. (1976). Art worlds and social types. American behavioral scientist, 19(6), 703-718. [5] Cefaï, D. (2016). Publics, problèmes publics, arènes publiques…. Que nous apprend le pragmatisme?. Questions de communication, (30), 25-64. Application: * deadline: January 15th, 2025 * To apply for this position, please send an email with your CV and a few words explaining your interest in this project to Maria Boritchev and Tiphaine Viard ( [ mailto:firstname.lastname@univ-nantes.fr | firstname.lastname(a)telecom-paris.fr ] ). We are looking for applications from students preparing a Master’s degree or equivalent with solid skills (and ideally experience) in Natural Language Processing, Machine Learning and Deep Learning, Computational Social Sciences. Knowledge of English is necessary.

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[Corpora-List][CFP] IJCNN Special Session on Explainable Deep Neural Networks for Responsible AI: Post-Hoc and Self-Explaining Approaches (DeepXplain 2025)
by Francielle Vargas 16 Dec '24

16 Dec '24

Dear Colleagues, We are delighted to invite you to participate in "Explainable Deep Neural Networks for Responsible AI: Post-Hoc and Self-Explaining Approaches (DeepXplain 2025)," a special session at IJCNN 2025 dedicated to innovative methodologies for improving the interpretability of Deep Neural Networks (DNNs) while maintaining high predictive accuracy. Website: https://deepxplain.github.io/ Contributions This special session aims to foster interdisciplinary collaboration, promote the ethical design of AI systems, and encourage the development of benchmarks and datasets for explainability research. Our goal is to advance both post-hoc and intrinsic interpretability approaches, bridging the gap between the high performance of deep neural networks and their transparency. By doing so, we seek to enhance human trust in these models and mitigate the risks of negative social impacts. Topics of interest include, but are not limited to: - Theoretical advancements in post-hoc explanation methods (e.g., LIME, SHAP, Grad-CAM) for DNNs. - Development of inherently interpretable architectures using self-explaining mechanisms, such as attention-based or saliency-based models, prototype networks, and SENNs (Self-Explaining Neural Networks). - Post-hoc and self-explaining methods for Large Language Models (LLMs). - Application-driven explainability insights, particularly in Natural Language Processing and Computer Vision. - Ethical evaluations of DNN-based AI models with a focus on reducing bias and social impact. - Methods, metrics, and methodologies for improving interpretability and fairness in DNNs. - Ethical discussions about the social impact of non-transparent AI models. - Datasets and benchmarking tools for explainability. - Explainable AI in critical applications: healthcare, governance, misinformation, hate speech, etc. Submission Information We welcome submissions of academic papers (both long and short) across the spectrum of theoretical and practical work, including research ideas, methods, tools, simulations, applications or demonstrations, practical evaluations, position papers, and surveys. Submissions must be written in English, adhere to the IJCNN-2025 formatting guidelines, and be submitted as a single PDF file. Important Dates: - Submission link: https://cmt3.research.microsoft.com/IJCNN2025/ - Submission deadline: January 15, 2025 - Notification date: March 15, 2025 - Camera-ready submission: May 1, 2025 Organizers - Francielle Vargas <https://franciellevargas.github.io/>, University of São Paulo, Brazil - Roseli Romero <https://sites.icmc.usp.br/rafrance/>, University of São Paulo, Brazil - Jackson Trager <https://www.jacksonptrager.com/>, University of Southern California, USA - Edson Prestes <https://www.inf.ufrgs.br/~prestes/site/Welcome.html>, Federal University of Rio Grande do Sul, Brazil [], *Francielle Vargas* PhD in Computer Science University of São Paulo https://franciellevargas.github.io

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Elements in Semantics: new series
by Jonathan Ginzburg 16 Dec '24

16 Dec '24

We are happy to announce the first two titles in the series *Elements in Semantics,* published by Cambridge University Press, both by Kristina Liefke. Given how fundamental ontology is to semantics, it is particularly apposite that the first titles in the series address this topic. CUP makes these works freely available for download until January 4 and January 8, respectively: Kristina Liefke *Natural Language Ontology and Semantic Theory* https://tinyurl.com/3kv5wcdj Kristina Liefke *Reduction and Unification in Natural Language Ontology* https://tinyurl.com/bdk5ufat Forthcoming titles in the series to appear shortly include: Lasha Abzianidze, Lisa Bylinina, and Denis Paperno *Deep Learning and Semantics, * Stergios Chatzikyriakidis, Robin Cooper, Eleni Gregoromichelaki, and Peter Sutton *Types and the structure of meaning: Issues in compositional and lexical semantics, * Katherine Davidson *s* *About Elements in Semantics* Interest in semantics has exploded in a number of fields in recent years. Yet there are still many unresolved issues about basic issues in the field, as well as new questions that have arisen as a result of interdisciplinary engagement. What are word meanings, and where do they come from? How can we explain the learnability of language and its structured nature? What are the computational properties of language, and how does the brain implement these? How does individual cognition relate to the social aspect of meaning? These, and many more, have been raised or sharpened as a result of engagement with game theory, robotics, and deep learning, to name a few. Given the importance of meaning in human cognition and society at large, results in semantics bear on issues as diverse as legal decision-making and the use of spoken dialogue systems to operate a robot on Mars. The innovative edge of Elements in Semantics consists in three aspects in particular. First, we provide a platform that emphasizes the interdisciplinary nature of current work in semantics. Second, Elements will offer an integrated account of classical topics in semantics (e.g., negation, anaphora, conditionals) from a broader range of disciplines than traditional surveys. Third, Elements offers authors the ability to convey their research to audiences in innovative ways, using in-line audio and video as well as in-line simulations and data analysis via runnable code snippets in a variety of programming languages. Website: https://www.cambridge.org/core/publications/elements/elements-in-semantics Dan Lassiter, Jonathan Ginzburg (series editors)

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Deadline 18th: Postdoc in computational linguistics / data science in Change is Key!
by Nina Tahmasebi 16 Dec '24

16 Dec '24

Want to work as a postdoc in a vibrant research group on cutting-edge methodology for computational modeling of meaning and meaning change? We are hiring one or more postdocs in the Change is Key! research program. The program is multi-national and multi-disciplinary covering both core NLP research as well as its application for humanities and social sciences. You will be working with LLMs for modeling meaning and semantic change and using this to detect cultural and societal changes. We publish regularly in top tier venues with generous research funds. The position is located in the heart of Gothenburg in Sweden, and we will provide help with finding researcher apartments if needed. We are a diverse research group that values our differences and thus we welcome any and all applicants with relevant research backgrounds interested in our topics. Find more about our work here: https://www.changeiskey.org/ Deadline for the call: December 18, 2024. Apply here: https://web103.reachmee.com/ext/I005/1035/job?site=7&lang=UK&validator=9b89… Or email me back if you have any questions. Sincerely, -Nina. Nina N. Tahmasebi, Associate Professor Change is Key! • University of Gothenburg nina.tahmasebi(a)gu.se https://changeiskey.org/ https://languagechange.org/ http://tahmasebi.se/ https://gu-se.zoom.us/my/ninatahmasebi “Intelligence + Effort = Achievement" S. Mendaglio

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