- Corpora - ELRA lists

UK Jobs in Computing and Data Science
by Eric Atwell 30 Nov '22

30 Nov '22

Promotion opportunities: Head of the School of Computing<https://jobs.leeds.ac.uk/vacancy.aspx?ref=ASN-84381> University of Leeds Lecturers in Computer Science<https://jobs.leeds.ac.uk/vacancy.aspx?ref=EPSCP1116> University of Leeds Lecturer in Computer Science<https://jobs.leeds.ac.uk/vacancy.aspx?ref=SWJTU1007> University of Leeds Teaching Assistants in Computer Science<https://jobs.leeds.ac.uk/vacancy.aspx?ref=EPSCP1115> University of Leeds Data Engineering Developer<https://jobs.leeds.ac.uk/vacancy.aspx?ref=ITDSV1000> University of Leeds Data Analyst<https://jobs.leeds.ac.uk/vacancy.aspx?ref=ITDSV1002> University of Leeds Professor in Artificial Intelligence<https://www.linkedin.com/jobs/view/3375574406/?eBP=JYMBII_JOBS_HOME_ORGANIC…> Manchester Metropolitan University Professor in Data Science<https://www.linkedin.com/jobs/view/3381166449/?eBP=JYMBII_JOBS_HOME_ORGANIC…> University of the Arts London Deputy Dean, Faculty of Computing,<https://www.linkedin.com/jobs/view/3376789059/?eBP=JYMBII_JOBS_HOME_ORGANIC…> De Montford University Leicester Professor in Creative Computing<https://www.linkedin.com/jobs/view/3381171110/?eBP=JYMBII_JOBS_HOME_ORGANIC…> University of the Arts London Programme Director - Computing<https://www.linkedin.com/jobs/view/3368580632/?eBP=JYMBII_JOBS_HOME_ORGANIC…> Kaplan International, Leeds office Professor/Reader of Statistical Data Science<https://www.linkedin.com/jobs/view/3373317196/?eBP=JYMBII_JOBS_HOME_ORGANIC…> Newcastle University Professor in Fintech<https://www.linkedin.com/jobs/view/3356652057/?eBP=JYMBII_JOBS_HOME_ORGANIC…> University of East London Director of Education<https://www.linkedin.com/jobs/view/3344955080/?eBP=JYMBII_JOBS_HOME_ORGANIC…> HyperionDev Computing Education Senior Lecturer/Associate Professor: Data Science<https://www.linkedin.com/jobs/view/3374847671/?eBP=JYMBII_JOBS_HOME_ORGANIC…> Falmouth University

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NLDB 2023 CFP
by Max Silberztein 30 Nov '22

30 Nov '22

Dear Madam/Sir, Please forward this CFP to corpora-list's members Regards --Max Silberztein NLDB 2023 The 28th International Conference on Natural Language & Information Systems 21-23 June 2023, University of Derby, United Kingdom. https://www.derby.ac.uk/events/latest-events/nldb-2023/ About NLDB The 28th International Conference on Natural Language & Information Systems will be held at the University of Derby, United Kingdom and will be a face to face event. Since 1995, the NLDB conference brings together researchers, industry practitioners, and potential users interested in various application of Natural Language in the Database and Information Systems field. The term "Information Systems" has to be considered in the broader sense of Information and Communication Systems, including Big Data, Linked Data and Social Networks. The field of Natural Language Processing (NLP) has itself recently experienced several exciting developments. In research, these developments have been reflected in the emergence of neural language models (Deep Learning, Word Embeddings, Transformers) and the importance of aspects such as transparency, bias and fairness, a (renewed) interest in various linguistic phenomena, such as in discourse and argumentation mining, and in new problems such as the detection of disinformation and hate speech in social media, as well of mental health disorders that increased during the recent pandemic. Regarding applications, NLP systems have evolved to the point that they now offer real-life, tangible benefits to enterprises. Many of these NLP systems are now considered a de-facto offering in business intelligence suites, such as algorithms for recommender systems and opinion mining/sentiment analysis. It is against this backdrop of recent innovations in NLP and its applications in information systems that the 28th edition of the NLDB conference takes place. We welcome research and industrial contributions, describing novel, previously unpublished works on NLP and its applications across a plethora of topics as described in the Call for Papers. Call for Papers NLDB 2023 invites authors to submit papers for oral or poster presentations on unpublished research that addresses theoretical aspects, algorithms, applications, architectures for applied and integrated NLP, resources for applied NLP, and other aspects of NLP, as well as survey and discussion papers. This year's edition of NLDB also introduces an Industry Track, to foster fruitful interaction between the industry and the research community. Topics of interest include but are not limited to: Social Media and Web Analytics: Opinion mining/sentiment analysis, irony/sarcasm detection; detection of fake reviews and deceptive language; detection of harmful information: fake news and hate speech; sexism and misogyny; detection of mental health disorders; identification of stereotypes and social biases; robust NLP methods for sparse, ill-formed texts; recommendation systems. Deep Learning and eXplainable Artificial Intelligence (XAI): Deep learning architectures, word embeddings, transparency, interpretability, fairness, debiasing, ethics. • Argumentation Mining and Applications: Automatic detection of argumentation components and relationships; creation of resource (e.g. annotated corpora, treebanks and parsers); Integration of NLP techniques with formal, abstract argumentation structures; Argumentation Mining from legal texts and scientific articles. • Question Answering (QA): Natural language interfaces to databases, QA using web data, multi-lingual QA, non-factoid QA(how/why/opinion questions, lists), geographical QA, QA corpora and training sets, QA over linked data (QALD). • Corpus Analysis: multi-lingual, multi-cultural and multi-modal corpora; machine translation, text analysis, text classification and clustering; language identification; plagiarism detection; information extraction: named entity, extraction of events, terms and semantic relationships. • Semantic Web, Open Linked Data, and Ontologies: Ontology learning and alignment, ontology population, ontology evaluation, querying ontologies and linked data, semantic tagging and classification, ontology-driven NLP, ontology-driven systems integration. • Natural Language in Conceptual Modelling: Analysis of natural language descriptions, NLP in requirement engineering, terminological ontologies, consistency checking, metadata creation and harvesting. • Natural Language and Ubiquitous Computing: Pervasive computing, embedded, robotic and mobile applications; conversational agents; NLP techniques for Internet of Things (IoT); NLP techniques for ambient intelligence • Big Data and Business Intelligence: Identity detection, semantic data cleaning, summarisation, reporting, and data to text. Important Dates: Full paper submission: 14 March, 2023 Paper notification: 10 April, 2023 Camera-ready deadline: 24 April, 2023 Conference: 21-23 June 2023 Submission Guidelines Authors should follow the LNCS format (https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu… ) and submit their manuscripts in pdf via Easychair (https://easychair.org/conferences/?conf=nldb2023 ) Submissions can be full papers (12 pages maximum including references), short papers (8 pages including references) or papers for a poster presentation or system demonstration (6 pages including references). The programme committee may decide to accept some full papers as short papers or poster papers. The reviewing process of NLDB 2023 is double-blind, i.e., submissions to the main conference and to the industry track must not contain author names or other identifying information, such as funding sources, acknowledgments and must use the third person to refer to work the authors have previously undertaken. System demonstration papers may not be anonymous. Committee Conference Chairs: Manning Warren, University of Derby, UK Métais Elisabeth, Conservatoire des Arts et Métiers, Paris, France Meziane Farid, University of Derby, UK Program Chairs: Reiff-Marganiec Stephan, University of Derby, UK Sugumaran Vijayan, Oakland University, Rochester, USA Programme Committee: Abdi Asad, University of Derby, UK. Akoka Jacky, CNAM & TEM, France Anselma Luca, University of Turin, Italy Bajaj Ahsaas, University of Massachusetts Amherst, USA Balakrishna Mithun, Limba Corp, USA Banerjee Somnath, University of Milano-Bicocca, Italy Bensalem Imene, MISC Lab, Constantine 2 University, Algeria Bosco Cristina, University of Turin, Italy Braschler Martin, ZHAW School of Engineering, Switzerland Buscaldi Davide, University Sorbonne Paris Nord, France Cabrio Elena, Université Côte d’Azur, Inria, CNRS, I3S, France Caselli Tommaso, Rijksuniversiteit Groningen, The Netherlands Chiruzzo Luis, Universidad de la República, Uruguay Cignarella Alessandra Teresa, University of Turin, Italy Cimiano Philipp, Bielefeld University, Germany Croce Danilo, University of Rome "Tor Vergata", Italy Delgado Agustín, Universidad Nacional de Educación a Distancia, Spain Dinu Liviu, University of Bucharest, Romania Doucet Antoine, La Rochelle University, France Fersini Elisabetta, University of Milano-Bicocca, Italy Florio Komal, University of Turin, Italy Fomichov Vladimir, Moscow Aviation Institute, Russia Fornaciari Tommaso, Bocconi University Milan, Italy Franco Marc, Symanto, Germany/Spain Frasincar Flavius, Erasmus University Rotterdam, The Netherlands Hacohen-Kerner Yaakov, Jerusalem College of Technology, Israel Horacek Helmut, DFKI, Germany Ienco Dino, IRSTEA, France Iglesias Carlos A., Universidad Politécnica de Madrid, Spain Ittoo Ashwin, HEC, Univ. of Liege, Belgium Kapetanios Epaminondas, University of Hertfordshire, UK Kedad Zoubida, UVSQ, France Kop Christian, University of Klagenfurt, Austria Koufakou Anna, Florida Gulf Coast University, USA Laatar Rim, University of Sfax, Tunisia Lai Mirko, University of Turin, Italy Lopez Cédric, Emvista, Montpellier, France Loukachevitch Natalia, Moscow State University, Russia Aaisha Makkar, University of Derby Mandl Thomas, University of Hildesheim, Germany Martínez Paloma, Universidad Carlos III de Madrid, Spain Martínez Patricio, Universidad de Alicante, Spain Martínez Unanue Raquel, Universidad Nacional de Educación a Distancia, Spain Masmoudi Abir, LIUM, University of Le Mans, France Mazzei Alessandro, University of Turin, Italy Métais Elisabeth, Conservatoire des Arts et Métiers, France Meziane Farid, University of Derby, UK Mich Luisa, University of Trento, Italy Mimouni Nada, Conservatoire des Arts et Métiers, France Mitrović Jelena, University of Passau, Germany Montalvo Soto, Universidad Rey Juan Carlos, Spain Montes y Gómez Manuel, INAOE Puebla, Mexico Monti Johanna, L'Orientale University of Naples, Italy Muñoz Rafael, Universidad de Alicante, Spain Okky-Ibrohim Muhammad, University of Turin, Italy Passaro Lucia, University of Pisa, Italy Patti Viviana, University of Turin, Italy Picca Davide, Columbia University, USA Plaza Laura, Universidad Nacional de Educación a Distancia, Spain Rangel Francisco, Symanto, Germany/Spain Reyes Antonio, Autonomous University of Baja California, Mexico Roche Mathieu, Cirad, TETIS, France Rosso Paolo, Universitat Politècnica de València, Spain Saggion Horacio, Universitat Pompeu Fabra, Spain Sakketou Flora, Philipps-Marburg University Sanguinetti Manuela, Università degli Studi di Cagliari, Italy Silberztein Max, Université de Franche-Comté, France Sprugnoli Rachele, Catholic University of the Sacred Heart Milan, Italy Sugumaran Vijayan, Oakland University, Rochester, USA Tagarelli Andrea, University of Calabria, Italy Taulé Mariona, Universitat de Barcelona, Spain Teisseire Maguelonne, Irstea, TETIS, France Tomás David, Universidad de Alicante, Spain Tufis Dan, RACAI, Bucharest, Romania Uban Ana Sabina, University of Bucharest, Romania Ureña-López Alfonso, Universidad de Jaén, Spain Vadera Sunil, University of Salford, UK Valencia-Garcia Rafael, Universidad de Murcia, Spain Villatoro Esaú, Idiap Research Institute, Switzerland Wattiau Isabelle, ESSEC, France Zaghouani Wajdi, Hamad Bin Khalifa University, Qatar Zubiaga Arkaitz, Queen Mary University of London, UK

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Research internship: Quantifying diversity of language phenomena: Case study of multiword expressions (5-6 months, LIFAT, Blois, France)
by Agata Savary 30 Nov '22

30 Nov '22

RESEARCH INTERNSHIP *Quantifying diversity of language phenomena: Case study of multiword expressions* (LIFAT, Blois, France) We propose a master internship position in Blois (France). Please send an email to apply, with a CV, a transcript of bachelor and master grades, and a few lines explaining your motivation to Arnaud Soulet <arnaud.soulet(a)univ-tours.fr> <mailto:arnaud.soulet@univ-tours.fr>, as well as Agata Savary and Thomas Lavergne <first.last(a)universite-paris-saclay.fr> <mailto:first.last@universite-paris-saclay.fr>. Internship proposal description: https://selexini.lis-lab.fr/jobs/2022/11/26/internship Application deadline: *December 8*, 2022 (or until filled) ------ MOTIVATION AND CONTEXT *Diversity* of naturally occurring phenomena is a vital heritage to be preserved in the current progress- and optimization-driven globalization era. Diversity has been quantified in many domains: ecology, economy, information science, etc. but less so in *Natural Language Processing* (NLP). Recently, we have been addressing this aspect with respect to a particular linguistic phenomenon: the one of *multiword expressions * (MWEs). MWEs, such as (FR) /casser sa pipe/ ‘to die’ (literally to break one’s pipe) or (FR) /sortir du lot /'to be better than others' (literally to quit the batch), are groups of words which exhibit unexpected properties (Baldwin & Kim, 2010; Constant et al. 2017). Most prominently, their meaning does not straightforwardly derive from the meanings of their components. Language resources dedicated to MWEs include MWE lexicons and MWE-annotated corpora (Savary et al., 2017), while a major computational task is to *automatically identify MWEs *in running text. The PARSEME network has been addressing the MWE identification task via a series of *shared tasks* on automatic identification of verbal MWEs (Ramisch et al. 2020). Our recent work (Lion-Bouton, 2021; Lion-Bouton et al. 2022) is explicitly dedicated to *quantifying diversity in MWE language resources and MWE identification systems*. We have adapted measures of *variety* (number of types in a system), *balance* (equity of items in various types) and *disparity* (differences between types), stemming notably from ecology and information theory (Morales 2021). ------ OBJECTIVE The objective of this internship is to extend the formalisation of the diversity by benefiting from *Good-Turing frequency estimation*. Successfully used to estimate the biomass, Good-Turing frequency estimation is a statistical technique for estimating the probability of encountering an object of an unseen species, given a set of past observations of objects from different species (Good, 1953). Under this same principle, the idea would be to *estimate the number of unseen MWEs from the MWEs observed *in the corpus. Thus, it will be possible to correct the diversity measures to take the unseen MWEs into account and to evaluate the possible selection bias of the corpus.

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Job announcement: PhD/Postdoc in the NLP group at the University of Mannheim
by Simone Paolo Ponzetto 30 Nov '22

30 Nov '22

The NLP Group at the University of Mannheim [1] invites applications for ONE PHD/POSTDOCTORAL RESEARCHER IN NATURAL LANGUAGE PROCESSING Applicants should have a strong (undergraduate/graduate) profile in computer science, NLP, AI, machine learning or a related discipline. Applicants for the postdoc position are expected to have a proven academic track record (as demonstrated by publications at top-tier conferences) and be good team players. The researcher will be located at the NLP group of the University of Mannheim, which is part of the larger DWS Group [2] – see DBLP [3] for a list of publications and research topics we work on. Mannheim is a very multicultural city in the south-west of Germany, we offer a sustainable life/work balance and non-toxic academic environment. We are strongly committed to diversity and welcome applications from members of underrepresented groups. Duration: 2-3 years depending on the position and qualification. Salary range: according to German public scale TV-L E13 100% (full time, commensurate with experience and qualifications). Applications can be made per e-mail (jobs(a)informatik.uni-mannheim.de<mailto:jobs@informatik.uni-mannheim.de>) and should include a research statement and CV including a list of publications and published software. All documents should be e-mailed as a single PDF. All applications sent before December 20 2022 will receive full consideration. The positions remain open until filled. Potential applicants are welcome to get in touch with Simone Paolo Ponzetto for informal enquiries before applying. Thanks! Simone [1] http://dws.informatik.uni-mannheim.de/nlp [2] http://dws.informatik.uni-mannheim.de [3] https://dblp.org/pid/04/2532 -- Simone Paolo Ponzetto Data and Web Science Group University of Mannheim, Germany http://dws.informatik.uni-mannheim.de/ponzetto Tel: +49 621 181 2647

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Learning With Disagreements - task11 @Semeval2023: presentation of task and Invitation to online meeting with organizers
by Elisa Leonardelli 30 Nov '22

30 Nov '22

Dear All, We are pleased to announce an online meeting with the organizers of the task Learning With Disagreements (LeWiDi) shared task @Semeval2023, to find out more about the task. *WHEN?* FRIDAY, 2TH DEC 2022, 1 p.m. CET *WHERE?* ON ZOOM *WHO?* The online meeting is open to everyone who is interested in the task, also who's not subscribed yet *WHAT?* The meeting will be structured as follow: - introduction to datasets and task from the organisers - Q&A time *HOW?* find the details of the meeting: - on the pages of our codalab competition https://codalab.lisn.upsaclay.fr/competitions/6146 - by adding the event on your calendar at the following link *https://calendar.google.com/calendar/event?action=TEMPLATE&tmeid=N3RzMHJmcHBib29jYTZlNG9wcXBwYWhpb3AgbGV3aWRpc2VtZXZhbDIwMjNAbQ&tmsrc=lewidisemeval2023@gmail.com <https://calendar.google.com/calendar/event?action=TEMPLATE&tmeid=N3RzMHJmcH…>* We hope to see you numerous at the meeting! ------------------------------------------------------------------------------- *ABOUT THE TASK * The assumption that natural language expressions have a single and clearly identifiable interpretation is more and more recognized as just a convenient idealization. Focus of LeWiDi task is entirely on subjective tasks, where usage of aggregated labels makes much less sense. The objective of the LeWiDi task is to provide a unified testing framework for learning from disagreements and developing methods able to capture them, using datasets containing disaggregated annotations. We propose 4 diverse (textual) datasets: - with different characteristics in terms of genres (social media and conversations), languages (English and Arabic), tasks (misogyny, hate speech, offensiveness detection) and annotations' methodology (experts, specific demographic groups, AMT-crowd) - all datasets are equipped with disaggregated annotations - all datasets provides relevant information about annotators We developed an *harmonized json format* for the 4 datasets so to encourage participants in *developing methods able to capture agreements/disagreements*, rather than focusing on developing the best model for each dataset Performance is evaluated using two metrics: 1. 'classical hard evaluation' (F1): how well the model predicts the aggregated labels (binary, based on majority) 2. 'soft' evaluation' (cross-entropy): how well the model's probabilities reflect the level of agreement among annotators An ideal model would have high F1 and low cross-entropy results. PARTECIPATE: get the data and participate https://codalab.lisn.upsaclay.fr/competitions/6146 CONTACT US: le-wi-di-semeval2023_contactus(a)googlegroups.com DATES: Current status: train and dev are released, unlimited submissions via Codalab are allowed (evaluation on dev) January 10, 2023: evaluation phase starts, unlabeled test is released. Limited submissions on Codalab are allowed (evaluation on test) February 2023: Participant paper submission March 2023: Peer review notification April 2023: Camera-ready participant papers submission Summer 2023: SemEval workshop (co-located with a major NLP conference) ORGANIZERS: Elisa Leonardelli, Fondazione Bruno Kessler (FBK), Italy Gavin Abercrombie, Heriot-Watt University, United Kingdom Valerio Basile, Torino University, Italy Tommaso Fornaciari, Bocconi University, Italy Barbara Plank, IT University of Copenhagen, Denmark Verena Rieser, Heriot-Watt University, United Kingdom Massimo Poesio, Queen Mary University of London, United Kingdom Alexandra Uma, Queen Mary University of London, United Kingdom Best regards, the LeWiDi organizers -- The information transmitted is intended only for the person or entity to which it is addressed and may contain confidential and/or privileged material. If you received this in error, please contact the sender and delete the material. -- -- Le informazioni contenute nella presente comunicazione sono di natura privata e come tali sono da considerarsi riservate ed indirizzate esclusivamente ai destinatari indicati e per le finalità strettamente legate al relativo contenuto. Se avete ricevuto questo messaggio per errore, vi preghiamo di eliminarlo e di inviare una comunicazione all’indirizzo e-mail del mittente. -- The information transmitted is intended only for the person or entity to which it is addressed and may contain confidential and/or privileged material. If you received this in error, please contact the sender and delete the material.

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Monthly online ILFC Seminar: interactions between formal and computational linguistics
by Timothée Bernard 30 Nov '22

30 Nov '22

*Monthly online ILFC Seminar: interactions between formal and computational linguistics* https://gdr-lift.loria.fr/monthy-online-ilfc-seminar/ GdR LIFT is happy to announce the three forthcoming sessions of the ILFC seminar on the interactions between formal and computational linguistics: - 2022/12/14 16:00-17:00 UTC+1: *Guy Emerson* (University of Cambridge; 15:00-16:00 UTC+0) Title: *Learning meaning in a logically structured model: An introduction to Functional Distributional Semantics* Abstract: *The aim of distributional semantics is to design computational techniques that can automatically learn the meanings of words based on the contexts in which they are observed. The mainstream approach is to represent meanings as vectors (such as Word2Vec embeddings, or contextualised BERT embeddings). However, vectors do not provide a natural way to talk about basic concepts in logic and formal semantics, such as truth and reference. While there have been many attempts to extend vector space models to support such concepts, there does not seem to be a clear solution. In this talk, I will instead go back to fundamentals, questioning whether we should represent meaning as a vector I will present the framework of Functional Distributional Semantics, which makes a clear distinction between words and the entities they refer to. The meaning of a word is represented as a binary classifier over entities, identifying whether the word could refer to the entity – in formal semantic terms, whether the word is true of the entity. The structure of the model provides a natural way to model logical inference, semantic composition, and context-dependent meanings, where Bayesian inference plays a crucial role. The same kind of model can also be applied to different kinds of data, including both grounded data such as labelled images (where entities are observed) and also text data (where entities are latent). I will discuss results on semantic evaluation datasets, indicating that the model can learn information not captured by vector space models like Word2Vec and BERT. I will conclude with an outlook for future work, including challenges and opportunities of joint learning from different data sources.* - 2023/01/18 17:00-18:00 UTC+1: *Carolyn Anderson* (Wellesley College; 11:00-12:00 UTC-5) Title: [TBA] Abstract: [TBA] - 2023/02/15: *Steven T. Piantadosi* (UC Berkeley) Title: [TBA] Abstract: [TBA] The seminar is held on Zoom. To attend the seminar and get updates, please subscribe to our mailing list (we now only rarely communicate through other mailing lists): https://sympa.inria.fr/sympa/subscribe/seminaire_ilfc

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CFP - Journal Procesamiento del Lenguaje Natural - issue 70 - Extension
by Eugenio Martínez Cámara 30 Nov '22

30 Nov '22

[Spanish version below] Please consider contributing and/or forwarding to appropriate colleagues and groups. *******We apologize for the multiple copies of this e-mail****** *Call for papers for the issue 70 of the journal Procesamiento del Lenguaje Natural* The submission deadline for the journal Procesamiento del Lenguaje Natural has just extended until 16 December, 2023. *Important dates* * *Submission deadline: 16 December 2022* * Notification of acceptance: 31 January 2023 * Camera ready: 6 February 2023 * Publication: March 2023 Submission platform: http://myreview.sepln.org/myreview-sepln70/ ** *Introduction* The aim of the journal Procesamiento del Lenguaje Natural is to provide a forum for the publication of scientific-technical articles in the field of Natural Language Processing (NLP), for both the national and international scientific community. The articles must be unpublished and cannot be simultaneously submitted for publication in other journals or conference proceedings. The journal also aims to promote the development of areas related to NLP, disseminate research carried out, identify future guidelines for basic research, and present software applications in this field. Every year the Sociedad Española de Procesamiento del Lenguaje Natural (SEPLN) (Spanish Society for the Natural Language Processing) publishes two issues of the journal, including original articles, presentations of R&D projects, book reviews and summaries of PhD theses. The scientific quality of the Journal is supported by the 2021 JCR index (JCI: 0.21, Q4-Linguistics - ESCI), the SCImago Journal Ranking (SJR: 0.217, Q4-Computer Science Applications, Q2-Linguistics and Language), the Scopus Index (CiteScore: 1.5, Q4-Computer Science Applications, Q2-Linguistics and Language) and the index SNIP (Source Normalized Impact per Paper) with 0.37 points. More information at: http://www.sepln.org/en/journal/quality. *Topics* * Linguistic, mathematical and psycholinguistic models of language * Machine learning in NLP * Computational lexicography and terminology * Corpus linguistics * Development of linguistic resources and tools * Grammars and formalisms for morphological and syntactic analysis * Semantics, pragmatics and discourse * Word sense disambiguation * Monolingual and multilingual text generation * Machine translation * Knowledge and common sense * Multimodality * Speech synthesis and recognition * Dialogue systems and interactive systems/ Conversational assistants * Audio indexing and retrieval * Monolingual and multilingual information extraction and retrieval * Question answering systems * Evaluation of NLP systems * Automatic textual content analysis * Sentiment analysis, opinion mining and argument mining * Plagiarism detection * Negation and speculation processing * Text mining in blogosphere and social networks * Text summarization * Text simplification * Image retrieval * NLP in biomedical domain * NLP-based generation of teaching resources * NLP for languages with limited resources * NLP industrial applications * Low-resource NLP tasks, data augmentation *Submission Information* The proposal must be submitted by *December 16nd, 2022* and must meet certain format and style requirements. All submissions must be in PDF format and submitted electronically using the Myreview system available at: *http://myreview.sepln.org/myreview-sepln70*. Submitted papers will be subjected to a blind review by at least three members of the program committee. *Categories of papers* * Regular papers with original contributions. * Summary of PhD thesis. *Information for Authors* The proposals can be written in Spanish or English and should be at most 10 A4-size pages of content, plus unlimited pages for references, and 4 pages maximum for summaries of PhD theses. The papers must include the following sections: * The title of the communication (in English and Spanish). * An abstract in English and Spanish (maximum 150 words). * A list of keywords or related topics (in English and Spanish). * The documents must not include headers or footers. As reviewing will be blind, the paper should not include the authors’ names and affiliation. Furthermore, self-references that reveal the author’s identity should be avoided. The articles should only include the title, the abstract, the keywords and the proposal. We recommend using the LaTeX and Word templates that can be downloaded from the SEPLN web (author guidelines have been updated): http://www.sepln.org/index.php/en/journal/author-guidelines *Note on camera ready* The final version of the paper (camera ready) should be submitted together with a cover letter explaining how the suggestions of the reviewers were implemented in the final version. This cover letter will be considered in order to accept or finally reject the selected paper. *Preprint policy* The Journal allows the publication of preprints (non-refereed paper posted online, such as ArXiv) anytime, but during the review period the preprint must indicate that the paper it is “under review” in the Journal Procesamiento del Lenguaje Natural. Likewise, if the paper is accepted, the preprint must be updated with the DOI, name of the Journal and the bibliographic information of the paper. *Important dates* * *Submission deadline: 16 December 2022* * Notification of acceptance: 31 January 2023 * Camera ready: 6 February 2023 * Publication: March 2023 Contact person: Eugenio Martínez Cámara (emcamara(a)decsai.ugr.es) Editorial Committee of the Procesamiento del Lenguaje Natural -------------------------------------------------------------------------------------------------------------------- ***********Disculpen si reciben varias copias de este mensaje ************ Por favor, si lo considera oportuno, distribuya este llamamiento entre sus colegas. *Petición de artículos para la revista Procesamiento del Lenguaje Natural nº 70.* *Fechas importantes* * Envío de trabajos: 16 de diciembre de 2022 * Notificación de aceptación o rechazo: 31 de enero de 2023 * Versión final: 6 de febrero de 2023 * Publicación: Marzo de 2023 Plataforma de envío: http://myreview.sepln.org/myreview-sepln70/ *Objetivos de la revista* La revista Procesamiento del Lenguaje Natural es un foro de publicación de artículos científico-técnicos en el ámbito del Procesamiento del Lenguaje Natural (PLN), tanto para la comunidad científica nacional como internacional. Los artículos tienen que ser inéditos y no haber sido postulados para ser publicados simultáneamente en otras revistas o actas de congresos. La revista quiere potenciar el desarrollo de las diferentes áreas relacionadas con el PLN, mejorar la divulgación de las investigaciones que se llevan a cabo, identificar las futuras directrices de la investigación básica y mostrar las posibilidades reales de aplicación en este campo. Anualmente la SEPLN (Sociedad Española para el Procesamiento del Lenguaje Natural) publica dos números de la revista, que incluyen artículos originales, presentaciones de proyectos, reseñas bibliográficas y resúmenes de tesis doctorales. La calidad científica de la Revista está respaldada por el índice del JCR 2021 (JCI: 0,21, Q4-Linguistics - ESCI), el índice SCImago Journal Ranking (SJR: 0,217, Q4-Computer Science Applications, Q2-Linguistics and Language), el índice de Scopus (CiteScore: 1,5, Q4-Computer Science Applications, Q2-Linguistics and Language) y el índice SNIP (Source Normalized Impact per Paper) con 0,37 puntos. Más información en http://www.sepln.org/la-revista/calidad. *Áreas temáticas* * Modelos de lenguaje matemáticos y psicolingüísticos * Aprendizaje automático en PLN * Lexicografía y terminología computacional * Lingüística de corpus * Desarrollo de recursos y herramientas lingüísticas * Gramáticas y formalismos para análisis morfológico y sintáctico * Semántica, pragmática y discurso * Resolución de ambigüedad léxico-semántica * Generación de texto monolingüe y multilingüe * Traducción automática * Multimodalidad * Reconocimiento y síntesis de habla * Sistemas de diálogo/ asistentes conversacionales * Auto-indexación * Recuperación y extracción de información monolingüe y multilingüe * Sistemas de búsqueda de respuestas * Evaluación de sistemas de PLN * Análisis automático de contenido textual * Análisis de sentimiento y minería de opiniones * Detección de plagio * Procesamiento de la negación y la especulación * Minería de texto en la blogosfera y las redes sociales * Resumen automático de texto * Simplificación de texto * Recuperación de imágenes * Conocimiento y sentido común * PLN en el ámbito biomédico * Generación de recursos didácticos basada en PLN * PLN para lenguas con recursos limitados * Aplicaciones industriales del PLN * Tratamiento del Lenguaje Hablado *Envío de trabajos* Las propuestas de trabajos (artículos y resúmenes de tesis) podrán ser enviadas hasta la fecha límite del *16 de diciembre de 2022*. El envío y la revisión de las propuestas se realizarán exclusivamente en formato PDF y se gestionarán a través del sistema Myreview: *http://myreview.sepln.org/myreview-sepln70/*. La evaluación de los trabajos pasará por un proceso de revisión ciego realizado como mínimo por tres miembros del consejo asesor de la SEPLN. *Tipos de trabajos* * Artículos sobre contribuciones originales. * Reseñas de tesis doctorales. *Instrucciones para los Autores* Los trabajos pueden estar escritos en español o en inglés y su longitud máxima será de 10 páginas de contenido más un número ilimitado de páginas de referencias para los artículos científicos, y de un máximo de 4 páginas para los resúmenes de tesis. Las propuestas deben contener los siguientes apartados: * El título del artículo (en español e inglés). * Un resumen en español y un abstract en inglés de un máximo de 150 palabras. * Un listado de temas relacionados o palabras clave (en español e inglés). * Los documentos no podrán incluir cabeceras ni pies de página. Como la fase de revisión de los trabajos es ciega, en los artículos que se envíen no se debe incluir ninguna referencia a los autores ni referencias propias que revelen la identidad de los mismos. Todas las contribuciones deben contener únicamente el título, el resumen, las palabras claves y la propuesta. En el caso de los resúmenes de tesis, el anonimato no es necesario. Los trabajos deben seguir el formato de las revistas de la SEPLN disponible en la siguiente dirección: http://www.sepln.org/la-revista/informacion-para-autores Las guías se han actualizado, por favor, utilicen las que están disponibles en la página web de la revista. *Nota sobre la versión final* La versión final del trabajo (camera ready) debe enviarse con un documento en el que se explique cómo se han implementado las sugerencias de los revisores. Dicho documento se tendrá en cuenta para aceptar o rechazar el trabajo en cuestión. *Política de prepublicación* La revista permite publicar una versión no revisada de los artículos en plataformas de prepublicación (plataformas de artículos no evaluados como ArXiv). Sin embargo, durante el periodo de revisión se debe indicar que el artículo está “en revisión” en la revista Procesamiento del Lenguaje Natural. Si el artículo es aceptado, se debe actualizar la publicación en la plataforma de prepublicación con el DOI, nombre de la revista y la información bibliográfica del artículo. *Fechas importantes* * Envío de trabajos: 16 de diciembre de 2022 * Notificación de aceptación o rechazo: 31 de enero de 2023 * Versión final: 6 de febrero de 2023 * Publicación: Marzo de 2023 Persona de contacto: Eugenio Martínez Cámara (emcamara(a)decsai.ugr.es) Consejo de redacción de la revista Procesamiento del Lenguaje Natural. -- Eugenio Martínez Cámara Profesor Ayudante Doctor | Junior Lecturer DaSCI, Instituto Andaluz de Inteligencia Artificial | DaSCI, Andalusian Institute in Artificial Intelligence. Dpto. Ciencias de la Computación e Inteligencia Artificial | Computer Science and Artificial Intelligence department. Universidad de Granada

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Save the date: CMC-Corpora Conference | 14-15 September 2023
by cotgrove＠ids-mannheim.de 29 Nov '22

29 Nov '22

Dear colleagues, We are very pleased to announce that the 10th edition of the Conference on Computer-Mediated Communication and Social Media Corpora (CMC-CORPORA) will be jointly hosted by Mannheim University and the Leibniz Institute for the German Language on September 14-15, 2023 in Mannheim, Germany. Save the date! For more information go to https://www.uni-mannheim.de/cmc-corpora2023/ . The Call for Papers will be released in January 2023. The submission deadline will be around the end of April 2023. Looking forward to seeing you there! The Organizers: Jutta Bopp, Louis Cotgrove, Laura Herzberg, Harald Lüngen, Andreas Witt

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Re: HPLT & NLPL Winter School on Large-Scale Language Modeling and Neural Machine Translation with Web Data
by Maria Guzenko 29 Nov '22

29 Nov '22

Dear Stephan, Would Master’s-level students be eligible, too? Thank you. Best, Maria Guzenko

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Second Call for Papers: EACL 2023 Student Research Workshop
by Matthias Lindemann 28 Nov '22

28 Nov '22

EACL 2023 Student Research Workshop Second Call for Papers View on the web at https://sites.google.com/view/eacl2023srw/call-for-papers Main Conference: May 2-6, 2023 Paper Submission Deadline: December 16, 2022 ============== ## General Rules for Submission The EACL 2023 Student Research Workshop (SRW) provides a forum for student researchers who are investigating various areas related to Computational Linguistics and Natural Language Processing. The workshop provides an excellent opportunity for student participants to present their work and receive valuable feedback from the international research community. The workshop’s goal is to aid students at multiple stages of their education: including undergraduate, masters, junior, and senior PhD students. We invite papers in two different categories: Thesis Proposals: This category is appropriate for PhD students who have decided on a thesis topic and wish to get feedback on their proposal and ideas about future directions for their work. Research Papers: Papers in this category can describe completed work, or work-in-progress with preliminary results. For these papers, the first author MUST BE a current graduate or undergraduate student. We encourage submissions from Ph.D. students, as well as Masters or advanced undergraduate students. Topics of interest for the SRW are the same as for the main conference (https://2023.eacl.org/calls/papers/). Please see the submission guidelines page for more information at https://sites.google.com/view/eacl2023srw/submission-guidelines. ============== ## Benefits of participation All accepted papers and thesis proposals will be presented in the main conference poster session, giving students an opportunity to interact with and present their work to a large and diverse audience, including top researchers in the field and assigned mentors. Submissions (in both categories) may either be archival or non-archival, based on the wishes of the authors. All archival papers will be published in the EACL 2023 SRW Proceedings. All non-archival papers may be submitted to any venue in the future except another SRW. Each willing participant is also assigned a mentor - an experienced researcher - who can provide mentoring during the conference. ============== ## Important Dates Paper submission deadline: December 16, 2022 Acceptance notification: February 24, 2023 Camera-ready deadline: March 17, 2023 EACL conference dates: May 2-6, 2023 All deadlines are 11:59PM UTC-12:00 (“anywhere on Earth”). ============== ## Submission Requirements We accept both archival submissions (i.e., the work can be included in the conference proceedings) and non-archival submissions (the work will be presented in the workshop, but will not be part of the proceedings). The “archival” submissions should follow the anonymity period and restrictions of the main conference as appears in https://2023.eacl.org/calls/papers/. Papers can be submitted as short or long papers. Short papers consist of up to four (4) pages of content, plus unlimited references. Upon acceptance, they will be given five (5) content pages in the proceedings. Long papers consist of up to eight (8) pages of content, plus unlimited references. Upon acceptance, they will be given nine (9) content pages in the proceedings. Thesis proposals consist of up to eight (8) pages of content, plus unlimited references. Upon acceptance, they will be given nine (9) content pages in the proceedings. Authors are encouraged to use this additional page to address reviewers’ comments in their final versions. Paper submissions must use the official EACL 2023 style templates. All submissions must be in PDF format and must conform to the official style guidelines, which are contained in these template files. The review process is blind; hence, all submissions must be anonymized. The SRW invites papers on topics related to computational linguistics, including but not limited to: Anaphora, Discourse and Pragmatics Computational Social Science and Social Media Dialogue and Interactive Systems Document analysis, Text Categorization and Topic Models Generation and Summarization Ethical and Sustainable NLP Information Retrieval and Search Information Extraction Interpretability and Model Analysis in NLP Language Resources and Evaluation Language Grounding and Multi-Modality Linguistic Theories, Cognitive Modeling and Psycholinguistics Machine Learning in NLP Machine Translation Multilinguality Multidisciplinary and NLP Applications Question Answering Semantics: lexical Semantics: sentence level and other areas Sentiment Analysis and Argument Mining Phonology, Morphology, and Word Segmentation Tagging, Chunking, Syntax, and Parsing Student Research Workshop Co-Chairs Elisa Bassignana, IT University of Copenhagen Matthias Lindemann, University of Edinburgh Alban Petit, University of Paris-Saclay Student Research Workshop Faculty Advisor Valerio Basile, University of Turin Contact The organizers of the workshop can be contacted by email at eacl.srw23(a)gmail.com More details can be found at https://sites.google.com/view/eacl2023srw

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2025

2024

2023

2022

Corpora