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[PoliticES@IberLEF2023] Call for participation IberLEF 2023 Task - PoliticEs: Political ideology detection in Spanish texts
by Salud María Jiménez Zafra 14 Feb '23

14 Feb '23

CALL FOR PARTICIPATION IberLEF 2023 Task - PoliticEs: Political ideology detection in Spanish texts Held as part of the evaluation forum IberLEF 2023 <https://sites.google.com/view/iberlef-2023> in the XXXIX edition of the International Conference of the Spanish Society for Natural Language Processing (SEPLN 2023 <http://sepln2023.sepln.org/en/home/>) September 26, 2023. Jaén, Andalusia, Spain Codalab link: https://codalab.lisn.upsaclay.fr/competitions/10173 Dear All, We are inviting researchers and students to participate in the shared-task PoliticEs 2023: Political ideology detection in Spanish texts, held as part of IberLEF 2023, the shared evaluation campaign for Natural Language Processing systems in Spanish and other Iberian languages, collocated with SEPLN 2023 Conference. The goal of this task is to extract political ideology information from Spanish texts. For this, an automatic document classification task on clusters of texts is proposed. It consists of extracting the self-assigned gender and profession as demographic traits, and the political ideology as a psychographic trait from a set of texts written in Spanish from several authors that share those traits. Political ideology is considered as a binary and as a multiclass problem. The PoliticES 2023 shared task is based on a previous task named PoliticES 2022 presented at IberLEF2022 (García-Díaz et. al. 2022b) where the dataset was an extension of the PoliCorpus 2020 dataset (García-Díaz et al., 2022a). The novelty of this year is that participants will work with clusters of texts written by different users, but with the same traits, instead of profiling users to prevent legal and ethical issues. The participants will be provided development, development_test, training and test datasets in Spanish from an extension of the PoliCorpus 2020 (García-Díaz et al., 2022) and the corpus used for the PoliticES 2022 shared task (García-Díaz et. al. 2022b). The dataset was collected between 2020 and 2022 from the Twitter accounts of politicians, political journalists and celebrities in Spain using the UMUCorpusClassifier (García-Díaz et al., 2020). We automatically created clusters of texts mixing some of these extracted tweets in order to prevent ethical and privacy issues about author profiling in Twitter. Each cluster is composed of 80 tweets written by different users that share all the traits under evaluation. We labeled each cluster with the self-assigned gender (male, female), profession (politician, celebrity, journalist) and political spectrum on two axes: binary (left, right) and multiclass (left, moderate_left, moderate_right, right). Moreover, the Twitter mentions of the politicians were anonymised by replacing them with the token @user. In addition, other Twitter accounts mentions were also encoded as @user. Other entities, such as political party references, are also replaced with the @political_party token. Consequently, the text traits cannot be guessed trivially by reading the user's name and searching information on them on the Internet. The dataset is composed of approximately 2800 different clusters. Finally, in order to facilitate participation in the competition, a notebook with two baselines will be provided. The first one will be based on BoW and the second one will be based on Transformers. To download the data, the notebook and participate, go to https://codalab.lisn.upsaclay.fr/competitions/10173. Best regards, The PoliticES 2023 organizing committee References - García-Díaz, J. A., Almela, Á., Alcaraz-Mármol, G., & Valencia-García, R. (2020). UMUCorpusClassifier: Compilation and evaluation of linguistic corpus for Natural Language Processing tasks. Procesamiento del Lenguaje Natural, 65, 139-142. - García-Díaz, J. A., Colomo-Palacios, R., & Valencia-García, R. (2022a). Psychographic traits identification based on political ideology: An author analysis study on Spanish politicians’ tweets posted in 2020. Future Generation Computer Systems, 130(1), 59-74. - García-Díaz, J. A., Jiménez Zafra, S. M., Martín Valdivia, M. T., García-Sánchez, F., Ureña López, L. A., & Valencia García, R. (2022b). Overview of PoliticEs 2022: Spanish Author Profiling for Political Ideology. Procesamiento del Lenguaje Natural, 69, 265-272. Important dates - Release of development corpora: Feb 13, 2023 - Release of training corpora: Mar 13, 2023 - Release of test corpora and start of evaluation campaign: Apr 17, 2023 - End of evaluation campaign (deadline for runs submission): May 3, 2023 - Publication of official results: May 5, 2023 - Paper submission: May 29, 2023 - Review notification: Jun 17, 2023 - Camera ready submission: Jun 27, 2023 - IberLEF Workshop (SEPLN 2023): Sep 26, 2023 (Jaén, Andalusia, Spain) - Publication of proceedings: Sep ??, 2023 Organizing committee - José Antonio García-Díaz (UMUTeam, Universidad de Murcia) - Salud María Jiménez-Zafra (SINAI, Universidad de Jaén) - María-Teresa Martín Valdivia (SINAI, Universidad de Jaén) - Francisco García-Sánchez (UMUTeam, Universidad de Murcia) - L. Alfonso Ureña-López (SINAI, Universidad de Jaén) - Rafael Valencia-García (UMUTeam, Universidad de Murcia) [image: Universidad de Jaén] <http://www.uja.es/> *Salud María Jiménez Zafra* sjzafra(a)ujaen.es Universidad de Jaén Grupo de Investigación SINAI <http://sinai.ujaen.es/> | Departamento de Informática EPS Jaén, Edificio A3, Despacho 219 Campus Las Lagunillas s/n 23071 - Jaén | +34 953212992 [image: Universidad de Jaén] <http://www.uja.es/>

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Call for Papers: 7th Workshop on Online Abuse and Harms (WOAH), July 13, 2023
by ychung＠turing.ac.uk 14 Feb '23

14 Feb '23

*** First Call for Papers *** *** The 7th Workshop on Online Abuse and Harms (WOAH) *** Website: https://www.workshopononlineabuse.com/ Important Dates -------- - Submission due: May 2, 2023 - ARR reviewed submission due: May 22, 2023 - Notification of acceptance: May 26, 2023 - Camera-ready papers due: June 2, 2023 - Workshop: July 13, 2023 All deadlines are 11:59 PM AoE time. Overview -------- The Workshop on Online Abuse and Harms (WOAH) invites paper submissions from a wide range of fields, including natural language processing, machine learning, computational social sciences, law, politics, psychology, sociology and cultural studies. We explicitly encourage interdisciplinary submissions, technical as well as non-technical submissions, and submissions that focus on under-resourced languages. We also invite non-archival submissions and civil society reports. The topics covered by WOAH include, but are not limited to: New models or methods for detecting abusive and harmful online content; Biases and limitations of existing detection models or datasets for abusive and harmful online content, particularly those in commercial use; New datasets and taxonomies for online abuse and harms; Dynamics of online abuse and harms, as well as their impact on different communities Social, legal, and ethical implications of detecting, monitoring and moderating online abuse In addition, we invite submissions related to the theme for this seventh edition of WOAH, which will be *subjectivity and disagreement in abusive language data*. Hate speech and other forms of abuse are highly subjective. By choosing this theme, we want to encourage submissions that analyse, address or make use of this subjectivity. To match the theme and complement thematic submissions, we have invited a strong lineup of relevant speakers. Submission Guidelines -------- Submission is electronic, using the Softconf START conference management system. Submission link: https://softconf.com/acl2023/WOAH/ The workshop will accept three types of papers. 1) Academic Papers (long and short): Long papers of up to 8 pages, excluding references, and short papers of up to 4 pages, excluding references. Unlimited pages for references and appendices. Accepted papers will be given an additional page of content to address reviewer comments. Previously published papers cannot be accepted. 2) Non-Archival Submissions: Up to 2 pages, excluding references, to summarise and showcase in-progress work and work published elsewhere. 3) Civil Society Reports: Non-archival submissions, with a minimum of 2 pages and no upper limit. Can include work published elsewhere. All submissions must use the official ACL 2023 style files. Submissions that do not conform to the required styles, including paper size, margin width, and font size restrictions, will be rejected without review. All submissions should adhere to the workshop policies https://www.workshopononlineabuse.com/policies.html. All submissions, except for civil society reports, must be fully anonymised. Self-references that reveal the author's identity, e.g., "We previously showed (Smith, 1991) ...", should be avoided. Instead, use citations such as "Smith previously showed (Smith, 1991) ...". Following the ACL 2023 guidelines, we believe that it is also important to discuss the limitations of your work, in addition to its strengths. The “Limitations” section will appear at the end of the paper, after the discussion/conclusions section and before the references, and will not count towards the page limit. Multiple Submissions Policy -------- The workshop allows for multiple submissions. Papers that have been or will be presented at other venues may only be presented as non-archival. Papers that are presented at the main conference (ACL 2023) can be presented at the workshop as non-archival. Organizers -------- Yi-Ling Chung, The Alan Turing Institute Aida Mostafazadeh Davani, Google Debora Nozza, Bocconi University Paul Röttger, University of Oxford Zeerak Talat, Digital Democracies Institute, Simon Fraser University Please send any questions about the workshop to organizers(a)workshopononlineabuse.com

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[2nd call] PhD & postdoc positions on Explainable NLP at the University of Copenhagen
by Isabelle Augenstein 14 Feb '23

14 Feb '23

The Natural Language Processing Section at the Department of Computer Science, Faculty of Science at University of Copenhagen is offering a PhD scholarship in Explainable Natural Language Understanding, as well as a postdoc position in Human-Centered Explainable Fact Checking with a start date of 1 September 2023. The application deadline is 1 March 2023. Applications for the positions can be submitted here: https://jobportal.ku.dk/phd/?show=158207 (PhD position); https://jobportal.ku.dk/videnskabelige-stillinger/?show=158206 (postdoc position). The Natural Language Processing Section provides a strong, international and diverse environment for research within core as well as emerging topics in natural language processing, natural language understanding, computational linguistics and multi-modal language processing. It is housed within the main Science Campus, which is centrally located in Copenhagen. The section came into effect on 1 January 2021 as a spin-off from the Machine Learning section, to which it still maintains close ties. Further information about research at the Department is available here: https://di.ku.dk/english/research/. The successful candidate will join Isabelle Augenstein’s Natural Language Understanding research group (www.copenlu.com/<http://www.copenlu.com/>). The Natural Language Processing research environment at the University of Copenhagen is internationally leading, as e.g. evidenced by it being ranked 2nd in Europe according to CSRankings. The postions are offered in the context of an ERC Starting Grant held by Isabelle Augenstein on ‘Explainable and Robust Automatic Fact Checking (ExplainYourself)’. ERC Starting Grant is a highly competitive funding program by the European Research Council to support the most talented early-career scientists in Europe with funding for a period of 5 years for blue-skies research to build up or expand their research groups. More information about the project can also be found at: http://www.copenlu.com/talk/2022_11_erc/ Informal enquiries about the positions can be made to Professor Isabelle Augenstein, Department of Computer Science, University of Copenhagen, e-mail: augenstein(a)di.ku.dk<mailto:augenstein@di.ku.dk>. ——— Isabelle Augenstein, PhD, Dr. Scient. Full Professor Head of the NLP Section Department of Computer Science University of Copenhagen Universitetsparken 1, 2100 Copenhagen, Denmark http://isabelleaugenstein.github.io/

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[2nd call] PhD position on Fair and Accountable Natural Language Processing at the University of Copenhagen
by Isabelle Augenstein 14 Feb '23

14 Feb '23

The Natural Language Processing Section at the Department of Computer Science, Faculty of Science at University of Copenhagen is offering a PhD scholarship in Fair and Accountable Natural Language Processing, with a start date of 1 September 2023. The application deadline is 28 February 2023. Applications for the positions can be submitted here: https://candidate.hr-manager.net/ApplicationInit.aspx?cid=1307&ProjectId=15… The PhD fellowship is offered in the context of a project supported by the Carlsberg Foundation on employer images in job ads led by Pia Ingold and co-led by Isabelle Augenstein (https://www.carlsbergfondet.dk/da/Forskningsaktiviteter/Bevillingsstatistik…). The project team will further include one postdoctoral researcher (to be hired at the Department of Psychology) as well as external partners. The project will comprise studies using methods from experimental psychology, as well as analyses of two existing big datasets on job ads (one in Danish, one in German) using Natural Language Processing. The role of the PhD student to be recruited in this call will be to research fair and accountable Natural Language Processing methods, which can be used to understand what influences the employer images that organisations project in job ads. Informal enquiries about the position can be made to Professor Isabelle Augenstein, Department of Computer Science, University of Copenhagen, e-mail: augenstein(a)di.ku.dk<mailto:augenstein@di.ku.dk>. ——— Isabelle Augenstein, PhD, Dr. Scient. Full Professor Head of the NLP Section Department of Computer Science University of Copenhagen Universitetsparken 1, 2100 Copenhagen, Denmark http://isabelleaugenstein.github.io/

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Call for Papers: 1st International Workshop on Disinformation and Toxic Content Analysis (DiTox 2023), September 13th, 2023
by Siegel, Melanie, Prof. Dr. 14 Feb '23

14 Feb '23

Call for Papers: 1st International Workshop on Disinformation and Toxic Content Analysis (DiTox 2023), September 13th, 2023 https://ditox.ait.ac.at/ In conjunction with the 4th biennial conference on Language, Data and Knowledge (LDK 2023) to be held in Vienna, Austria. The spread of misinformation and disinformation not only affects people's perceptions and beliefs, but can also have a direct impact on democratic institutions, critical infrastructure, and lives and families. Most critically, it raises the more fundamental issue of what sources of information can be trusted at all, potentially calling into question our relationship of trust with traditional media. Because of these profoundly harmful effects, disinformation is seen as one of the most pressing problems of our time. The weak definition of the research task of disinformation analysis and detection, as well as the enormous range in terms of the heterogeneity and multimodality of the data involved, make this an exceptionally challenging field of research. The complexity ranges from media tampering detection to text content analysis to large-scale information fusion to analyze disinformation trends. Maintaining a comprehensive overview is equally difficult. Respectively, the overall goal of this workshop is therefore to provide insights on how approaches from different domains can be used to address disinformation at a technical level including AI/ML-based methods, visual analytics, and visualization approaches as well as interdisciplinary approaches inspired by the social sciences (i.e., computational social science). To this end, we invite task-specific contributions, as well as large-scale integration approaches, demo and project presentations, to provide a comprehensive overview of the current state of the art in countering disinformation. Topics: Full Paper Submissions: - Machine and Deep learning methods for disinformation (e.g., analysis, detection) - Visual analytics and visualization approaches for disinformation - Social network analysis (e.g., key actors, distribution patterns) including visualization approaches - Graph algorithms for disinformation identification - Natural language processing methods (e.g., content evaluation, toxicity, radicalization) - AI-supported fact checking and detection of disinformation campaigns - Identification of fabricated and manipulated content (e.g., deep fakes, generated text) - Community detection and characterization in social networks (e.g., conspiracy theories, echo chambers) - Bots characterization and detection - Multimodal fake content detection - Recommendation systems and disinformation - AI uses, practices and tools in fact-checking journalism - Qualitative and quantitative studies on disinformation - Ethics and law in disinformation Demo and Project Presentation (Short Paper Track, Poster Presentation): - Demo presentations (e.g., fact checking tools, disinformation detection tools) - Project platform presentations - Project presentations Important Dates: - Paper submission: May 21st, 2023 - Notification: June 20th, 2023 - Camera-ready submission deadline: July 9th, 2023 - DiTox workshop: September 13th, 2023 Submission: Submissions can be in the form of Long papers (9-12 pages) and Short papers (4-6 pages). All submission lengths are given including references. Accepted submissions will be published by ACL in an open-access conference proceedings volume, free of charge for authors. The reviewing process is single-blind, submissions should not be anonymised. The workshop will be hybrid (face-to-face and remote). At least one author of each accepted paper must register to present the paper at the workshop (either remotely or on-site). There will be no registration fee administered for participating in LDK 2023. Papers should be submitted via OpenReview at the following address: https://openreview.net/group?id=LDK/2023/Conference

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2nd Call - shared task on Multilingual Grammatical Error Detection (Czech, English, German, Italian, Swedish)
by Elena Volodina 13 Feb '23

13 Feb '23

Second Call for participation - shared task on Multilingual Grammatical Error Detection (MultiGED-2023) on Czech, English, German, Italian and Swedish Official website for the shared task: https://github.com/spraakbanken/multiged-2023 UPDATE: Additional data for English (REALEC) is now available on the github page<https://github.com/spraakbanken/multiged-2023/tree/main/english> and on Codalab<https://codalab.lisn.upsaclay.fr/competitions/9784>. The Computational SLA<https://spraakbanken.gu.se/en/compsla> working group invites you to participate in the first shared task on Multilingual Grammatical Error Detection, MultiGED-2023, which includes five languages: Czech, English, German, Italian and Swedish. The aim of this shared task is to detect tokens in need of correction across five different languages, labeling them as either correct ("c") or incorrect ("i"), i.e. performing binary classification at the token level. You can work on one of the provided languages or any combination of languages. More details about the task: https://github.com/spraakbanken/multiged-2023 The shared task is part of the NLP4CALL workshop<https://spraakbanken.gu.se/en/research/themes/icall/nlp4call-workshop-serie…>, which will take place on 22 May 2023, co-located with the NoDaLiDa conference<https://www.nodalida2023.fo/> to be held in the Faroe Islands. Accepted papers with systems descriptions will be published in the workshop proceedings and double-published through the ACL anthology. Timeline: * 23 January, 2023 - first call for participation. Training and validation data released, CodaLab opens for team registrations. * 14 February, 2023 - second call/reminder * 27 February, 2023 - test data released * 03 March, 2023 - system submission deadline (system output) * 10 March, 2023 - results announced * 03 April, 2023 - paper submission deadline with system descriptions. We encourage you to share models, code, fact sheets, extra data, etc. with the community through github or other repositories on paper publication. * 21 April, 2023 - paper reviews sent to the authors * 01 May, 2023 - camera-ready deadline * 22 May, 2023 - presentations of the systems at NLP4CALL workshop To register for/express interest in the shared task, please fill in this form<https://forms.gle/DgwTNmTCQhsmrbxq6>. To ask questions and to get important information and updates about the shared task, please join the MultiGED-2023 Google Group<https://groups.google.com/g/multiged-2023>. Official system evaluation will be carried out on CodaLab<https://codalab.lisn.upsaclay.fr/competitions/9784>. Organizers: * Elena Volodina<https://spraakbanken.gu.se/en/about/staff/elena>, University of Gothenburg, Sweden * Chris Bryant<https://www.cst.cam.ac.uk/people/cjb255>, University of Cambridge, UK * Andrew Caines<https://www.cl.cam.ac.uk/~apc38/>, University of Cambridge, UK * Orphee De Clercq<https://research.flw.ugent.be/nl/orphee.declercq>, Ghent University, Belgium * Jennifer-Carmen Frey<https://www.eurac.edu/en/people/jennifer-carmen-frey>, EURAC Research, Italy * Elizaveta Ershova, JetBrains, Cyprus * Alexandr Rosen<http://utkl.ff.cuni.cz/~rosen/>, Charles University, Czech Republic * Olga Vinogradova, Independent researcher, Israel Please, feel free to forward this call to those who might be interested. ___________________ Elena Volodina, PhD, Docent https://spraakbanken.gu.se/en/about/staff/elena Life is like a mirror. Smile at it and it smiles back at you. Peace Pilgrim

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Call for participation IberLEF 2023 Task - FinancES. Financial Targeted Sentiment Analysis in Spanish
by Rafael Valencia Garcia 13 Feb '23

13 Feb '23

CALL FOR PARTICIPATION IBERLEF 2023 Task - FinancES. Financial Targeted Sentiment Analysis in Spanish Held as part of iberLEF 2023 <https://sites.google.com/view/iberlef-2023>, a shared evaluation campaign for Natural Language Processing (NLP) systems in Spanish and other Iberian languages September 26th 2023, Jaen Codalab link: https://codalab.lisn.upsaclay.fr/competitions/10052 Dear All, We are inviting researchers and students to participate in the shared-task FinancES. Financial Targeted Sentiment Analysis in Spanish held as part of iberLEF 2023, shared evaluation campaign for Natural Language Processing (NLP) systems in Spanish and other Iberian languages. This shared task aims to explore targeted sentiment analysis in the financial domain. Specifically, the approach adopted here is grounded in the field of microeconomics. In this regard, Bowles (2004) explains the role of economic agents, that is to say, individuals or organizations impacting the economy. The author states that the main microeconomic agents in the capital market are consumers (households/individuals), companies (firms), governments, and central banks. Consequently, in order to develop a sentiment analysis method where different viewpoints are considered, three different perspectives are included: (1) economic target of the news item; (2) individual economic agent: companies; and (3) individual economic agent: consumers –the target is the sector where the economic fact applies, and companies produce the goods and services that households/individuals consume. From these three viewpoints, the news item has an impact on the target and the economic agents which are considered as positive, negative, or neutral. With all, two tasks are proposed. On the one hand, a task combining the challenges of aspect-term extraction for identifying the target entity in text, and aspect-based sentiment classification for determining the sentiment polarity towards the target. On the other hand, a task devoted to assessing the impact of a news headline on both other economic agents, namely, companies and consumers. The participants will be provided development, development_test, training and test datasets in Spanish. The dataset for this task is composed of news headlines written in Spanish collected from digital newspapers specialized in economic, financial and political news. The dataset is labeled with the target entity and the sentiment polarity on three dimensions: target, companies, and consumers. That is, given a headline, it has been manually classified as positive, neutral, or negative for three specific entities: (1) target entity (i.e., the specific company or asset where the economic fact applies), (2) companies (i.e., the entities producing the goods and services that others consume), and (3) consumers (i.e., households/individuals). Each headline was annotated by three members of the organization committee. In case of disagreement, the annotators discussed the special case and, if no agreement was reached, the headline was discarded. During this first step, we compiled about 14k headlines, the headlines with a short length or those that did not specify a target entity were filtered out. The final dataset is composed of 8k-10k news headlines. For the shared tasks, training and test sets will be released (80%-20%). In order to facilitate participation in the competition, a Google Colab notebook has also been provided. In this notebook, it is shown how to load the development dataset and how to train a baseline for both tasks based on SpaCy for the identification of the main economic target and a Bag-of-Words (BoW) with linear regression of the polarity of each dimension. In addition, it is shown how to calculate the final F1-score of each task and how to generate the final submission file. To download the data, the notebook and participate, go to https://codalab.lisn.upsaclay.fr/competitions/10052#participate. Best regards, The FinancES 2023 organizing committee References - Bowles, S. (2004). Microeconomics: Behavior, institutions, and evolution. Princeton University Press. Important dates - Release of development corpora: Feb 13, 2023 - Release of training corpora: Mar 13, 2023 - Release of test corpora and start of evaluation campaign: Apr 17, 2023 - End of evaluation campaign (deadline for runs submission): May 3, 2023 - Publication of official results: May 5, 2023 - Paper submission: May 28, 2023 - Review notification: Jun 16, 2023 - Camera ready submission: Jul 6, 2023 - IberLEF Workshop (SEPLN 2023): Sep 26, 2023 - Publication of proceedings: Sep ??, 2023 Organizing committee - José Antonio García-Díaz (UMUTeam,, Universidad de Murcia) - Ángela Almela Sánchez-Lafuente (UMUTeam, Universidad de Murcia) - Francisco García-Sánchez (UMUTeam, Universidad de Murcia) - Gema Alcaraz-Mármol (UMUTeam, Universidad de Castilla La Mancha) - María José Marín (UMUTeam, Universidad de Murcia) - Rafael Valencia-García (UMUTeam, Universidad de Murcia)

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Call for Papers: Corpus Approaches to Lexicogrammar (LxGr2022)
by Costas Gabrielatos 13 Feb '23

13 Feb '23

Symposium: Corpus Approaches to Lexicogrammar (LxGr2022) Call for Papers Deadline for abstract submission: Friday 31 March 2023 The symposium will take place online on Friday 7 and Saturday 8 July 2023. Invited Speaker: Gaëtanelle Gilquin<https://perso.uclouvain.be/gaetanelle.gilquin> (Université catholique de Louvain): Construction grammar and lexico-grammar, and why they matter to each other 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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Special Session at Interspeech 2023 on Simultaneous Speech Translation
by marco turchi 13 Feb '23

13 Feb '23

Dear All, We are happy to introduce you to a new special session at Interspeech 2023 on: "*New paradigms for simultaneous speech translation leveraging paralinguistic and linguistic knowledge*" More information about the special session is available here: https://iwslt.org/2023/interspeech_special_session Paper Deadline: *March 1st* Please share broadly for a great & multi-disciplinary meeting! Best regards, Marco Turchi on Behalf of the ISCA SIG Spoken Language Translation board

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1-year Postdoc position in computational social science at Bocconi. DEADLINE FRIDAY
by Dirk Hovy 13 Feb '23

13 Feb '23

We are looking for postdocs to work with us on MENTALISM! Over the last decade, discontent in democracy, mistrust in institutions, and the rise of populist parties have strained European societies. Underlying these tensions are often increasing inequalities in Western countries, which fuel the discontent of individuals. The Covid pandemic further exacerbated these problems, as anti-Covid measures taken by governments differently impacted societal groups. The MENTALISM project combines modern social media analysis with traditional survey data to track inequality across Italy through the lens of the pandemic. Our ground-breaking mixed-methods approach uses machine learning and text analysis to trace online grievances in a vast corpus of social media data. We combine these methods with survey protocols and econometric analysis to validate the findings and provide actionable policy advice. MENTALISM combines the advantages of social media data (high-frequency, individual-level information) with the strength of socio-economic surveys (representativeness). Our novel interdisciplinary approach will critically evaluate the value of social media monitoring for policy feedback. Moreover, it will establish protocols for policymakers to better respond to growing grievances brought on by inequality at various steps in the process. Successful candidates will work closely with Profs. Carlo Schwarz (economics), Dirk Hovy (NLP), and the MilaNLP lab. Your profile: a Ph.D. in Computer Science, Computational Linguistics/NLP, Machine Learning, Data Science, or related fields. Strong interest in computational social science Excellent programming skills in Python. Additional languages (C++, R, etc) a plus. Fluency in spoken and written English. Knowledge of Italian is NOT a requirement. Knowledge of current neural network models and implementation tools for neural networks (e.g. PyTorch, Tensorflow, Keras, etc.). Experience with publications in top-tier venues in the field of NLP/Computational Linguistics. Position Details: Starting date: March 1 2023, or any time thereafter Duration: 1 year Deadline: 18th February 2023 Salary: 42k EUR p.a. (median salary Milan: 37k EUR). Applicants from outside Italy may qualify for a researcher taxation scheme Date posted: 18th January 2023 How to apply: Go to the Bocconi postdoc job market page <https://jobmarket.unibocconi.eu/?type=a&urlBack=/wps/wcm/connect/bocconi/si…> and search for “BAFFI CAREFIN”. There are two positions, in13/A1 ECONOMICS and 01/B1 INFORMATICS. You will then have to click on “Apply online” for proceeding with the application. Official job description at this link <https://jobmarket.unibocconi.eu/include/dwload.php?a=MzQxXjE1YzQzZDE3NTVmOT…>. Candidates should attach publications and a cover letter to their application. Online interviews will presumably take place during March 2023. Please contact dirk.hovy(a)unibocconi.it <mailto:dirk.hovy@unibocconi.it> if you have any questions.

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