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19th IEEE eScience Conference (eScience 2023): Last Call for Papers
by georgeangelos60＠gmail.com 26 May '23

26 May '23

*** Last Call for Papers *** 19th IEEE eScience Conference (eScience 2023) October 9-13, 2023, St. Raphael Resort, Limassol, Cyprus https://www.escience-conference.org/2023/ (*** Submission Deadline Extension: June 19, 2023, AoE, FIRM!) eScience 2023 provides an interdisciplinary forum for researchers, developers, and users of eScience applications and enabling IT technologies. Its objective is to promote and encourage all aspects of eScience and its associated technologies, applications, algorithms, and tools, with a strong focus on practical solutions and open challenges. The conference welcomes conceptualization, implementation, and experience contributions enabling and driving innovation in data- and compute-intensive research across all disciplines, from the physical and biological sciences to the social sciences, arts, and humanities; encompassing artificial intelligence and machine learning methods; and targeting a broad spectrum of architectures, including HPC, Cloud, and IoT. The overarching theme of the eScience 2023 conference is “open eScience”. This year, the conference is promoting four additional key topics: • Computational Science for sustainable development • FAIR • Research Infrastructures for eScience • Continuum Computing: Convergence between Cloud Computing and the Internet of Things (IoT) The conference is soliciting two types of contributions: • Full papers (10 pages) presenting previously unpublished research achievements or eScience experiences and solutions • Posters (2 pages) showcasing early-stage results and innovations Submitted papers should use the IEEE 8.5×11 manuscript guidelines: double-column text using single-spaced 10-point font on 8.5×11-inch pages. Templates are available from http://www.ieee.org/conferences_events/conferences/publishing/templates.html . Submissions should be made via the Easy Chair system using the submission link: https://easychair.org/conferences/?conf=escience2023 . All submissions will be single-blind peer reviewed. Selected full papers will receive a slot for an oral presentation. Accepted posters will be presented during a poster reception. Accepted full papers and poster papers will be published in the conference proceedings. Rejected full papers can be re-submitted for a poster presentation. At least one author of each accepted paper or poster must register as an author at the full registration rate. Each author registration can be applied to only one accepted submission. AWARDS eScience 2023 will host the following awards, which will be announced at the conference. • Best Paper Award • Best Student Paper Award • Best Poster Award • Best Student Poster Award • Outstanding Early Career Contribution – this award is associated with poster submissions and short presentations of attendees in their early career phase (i.e., postdoctoral researchers and junior scientists). KEY DATES • Paper Submissions Due: June 19, 2023 (AoE) (FIRM!) • Notification of Paper Acceptance: July 10, 2023 • Poster Submissions due: July 7, 2023 (AoE) • Poster Acceptance Notification: July 24, 2023 • All Camera-ready Submissions due: August 14, 2023 • Author Registration Deadline: August 14, 2023 ORGANISATION General Chair • George Angelos Papadopoulos, University of Cyprus, Cyprus Technical Program Co-Chairs • Rafael Ferreira da Silva, Oak Ridge National Laboratory, USA • Rosa Filgueira, University of St Andrews, UK Organisation Committee https://www.escience-conference.org/2023/organizers Steering Committee https://www.escience-conference.org/about/#steering-committee Email contact: Technical-Program(a)eScience-conference.org

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ReproNLP 2023 Shared Task on Reproducibility of Evaluations in NLP: First Call for Participation
by a belz 25 May '23

25 May '23

ReproNLP 2023: First Call for ParticipationBackground Across Natural Language Processing (NLP), a growing body of work is exploring the issue of reproducibility in machine learning contexts. The field is currently far from having a generally agreed tool box of methods for defining and assessing reproducibility. Reproducibility of results of human evaluation experiments is particularly under-addressed which is of concern for areas of NLP where human evaluation is common including e.g. MT, text generation and summarisation. More generally, human evaluations provide the benchmarks against which automatic evaluation methods are assessed across NLP. We previously organised the First ReproGen Shared Task <https://reprogen.github.io/2021/> on reproducibility of human evaluations in NLG as part of Generation Challenges (GenChal) at INLG’21, and the Second ReproGen Shared Task <https://reprogen.github.io/> at INLG’22, where we extended the scope to encompass automatic evaluation methods as well as human. This year we are expanding the scope of the shared task series to encompass all NLP tasks, renaming it the ReproNLP Shared Task on Reproducibility of Evaluations in NLP. This year we are focussing on human evaluations, and the results session will be held at the 3rd Workshop on Human Evaluation of NLP Systems (HumEval 2023) <https://humeval.github.io/> . As with the ReproGen shared tasks, our overall aim is (i) to shed light on the extent to which past NLP evaluations have been reproducible, and (ii) to draw conclusions regarding how NLP evaluations can be designed and reported to increase reproducibility. If the task is run over several years, we hope to be able to document an overall increase in levels of reproducibility over time. About ReproNLP ReproNLP has three tracks, one an ‘unshared task’ in which teams attempt to reproduce their own prior evaluation results (Track B below), the others standard shared tasks in which teams repeat existing evaluation studies with the aim of reproducing their results (Tracks A and C): A. Legacy Reproducibility Track: For a shared set of selected evaluation studies from ReproGen 2022 (see below), participants repeat one or more of the studies, and attempt to reproduce their results. As in ReproGen, participants will be given additional information and resources (beyond what is in the published papers) about experimental details by the ReproNLP organisers. B. RYO Track: Reproduce Your Own previous evaluation results, and report what happened. Unshared task. C. ReproHum Track: For a shared set of selected evaluation studies from the ReproHum Project <https://reprohum.github.io/>, participants repeat one or more of the studies, and attempt to reproduce their results, using information provided by the ReproNLP organisers only, and following a common reproduction approach. Track A Papers We have selected the papers listed below for inclusion in ReproNLP Track A (these are the same papers as in Track A in ReproGen 2022). The authors have agreed to evaluation studies from their papers as identified below being used for Track A, and have provided the system outputs to be evaluated and any reusable tools that were used in the original evaluations. We also have available completed ReproGen Human Evaluation Sheets which we will use as the standard for establishing similarity between different human evaluation studies. The papers and studies, with many thanks to the authors for supporting ReproGen, are: van der Lee et al. (2017): PASS: A Dutch data-to-text system for soccer, targeted towards specific audiences: https://www.aclweb.org/anthology/W17-3513.pdf [1 evaluation study; Dutch; 20 evaluators; 1 quality criterion; reproduction target: primary scores] Dušek et al. (2018): Findings of the E2E NLG Challenge: https://www.aclweb.org/anthology/W18-6539.pdf [1 human evaluation study; English; MTurk; 2 quality criteria; reproduction target: primary scores] Qader et al. (2018): Generation of Company descriptions using concept-to-text and text-to-text deep models: dataset collection and systems evaluation: https://www.aclweb.org/anthology/W18-6532.pdf [1 human evaluation study; English; 19 evaluators; 4 quality criteria; reproduction target: primary scores] Santhanam & Shaikh (2019): Towards Best Experiment Design for Evaluating Dialogue System Output: https://www.aclweb.org/anthology/W19-8610.pdf [3 evaluation studies differing in experimental design; English; 40 evaluators; 2 quality criteria; reproduction target: correlation scores between 3 studies] Nisioi et al. (2017): Exploring Neural Text Simplification Models: https://aclanthology.org/P17-2014.pdf [one automatic evaluation study; reproduction target: two automatic scores]; [one human evaluation study; 70 sentences; 9 system outputs; 4 quality criteria; reproduction target: primary scores] Track C Papers The specific experiments listed and described below are currently the subject of reproduction studies in the ReproHum project. The authors have agreed to us using them in ReproNLP and have provided very detailed information about the experiments. In some cases we have introduced standardisations to the experimental design as noted in the detailed instructions to participants which will be shared upon registration. The papers and studies, with many thanks to the authors for supporting ReproHum and ReproNLP, are: Vamvas & Sennrich (2022): As Little as Possible, as Much as Necessary: Detecting Over and Undertranslations with Contrastive Conditioning: https://aclanthology.org/2022.acl-short.53.pdf [1 human evalution study (of 2 in paper); English to German; 2 evaluators; 1 quality criteria; 1 system; approx. 800 outputs; reproduction target: primary scores] Lin et al. (2022): Other Roles Matter! Enhancing Role-Oriented Dialogue Summarization via Role Interactions: https://aclanthology.org/2022.acl-long.182.pdf [1 human evaluation study; Chinese; 3 evaluators; 3 quality criteria; 200 outputs per system; 4 systems; reproduction target: primary scores] Lux & Vu (2022): Language-Agnostic Meta-Learning for Low-Resource Text-to-Speech with Articulatory Features: https://aclanthology.org/2022.acl-long.472.pdf [1 human evaluation; German; Student evaluators (34 responses); 1 quality criterion; 12 outputs per system; 2 systems; reproduction target: primary scores] Chakrabarty et al. (2022): It's not Rocket Science: Interpreting Figurative Language in Narratives: https://aclanthology.org/2022.tacl-1.34.pdf [2 human evaluation studies (of 4 in paper); English; MTurk; 1 quality criterion; 25 outputs per system, 5/8 systems (varies between idiom and simile studies); reproduction target: primary scores] Puduppully & Lapata (2021): Data-to-text Generation with Macro Planning: https://aclanthology.org/2021.tacl-1.31.pdf [first human evaluation (relative); English; MTurk; 2 quality criteria; 20 outputs per system; 5 systems, reproduction target: primary scores] [second human evaluation (absolute); English; MTurk; 3 quality criteria; 80 outputs per system; 5 systems; reproduction target: primary scores] Track A, B and C Instructions Step 1. Fill in the registration form at https://forms.gle/dnf73tH3jcyBEBCX6, indicating which of the above papers, or which of your own papers, you wish to carry out a reproduction study for. Step 2. After registration, the ReproNLP participants information will be made available to you, plus data, tools and other materials for each of the studies you have selected in the registration form. Step 3. Carry out the reproduction, and submit a report of up to 8 pages plus references and supplementary material including a completed ReproGen Human Evaluation Sheet (HEDS) for each reproduction study, by 4 August 2023. Step 4. The organisers will carry out light touch review of the evaluation reports according to the following criteria: - Evaluation sheet has been completed. - Exact repetition of study has been attempted and is described in the report. - Report gives full details of the reproduction study, in accordance with the reporting guidelines provided. - All tools and resources used in the study are publicly available. Step 5. Present paper at the results meeting. Reports will be included in the HumEval’23 proceedings, and results will be presented at the workshop in September 2023. Full details and instructions will be provided as part of the ReproNLP participants information. Important Dates Report submission deadline: 4 August 2023 Acceptance notification: 18 August 2023 Camera-ready reports: 25 August 2023 Workshop camera-ready proceedings ready: 31 August 2023 Presentation of results: 7 or 8 September 2023 All deadlines are 23:59 UTC-12. Organisers Anya Belz, ADAPT/DCU, Ireland Craig Thomson, University of Aberdeen, UK Ehud Reiter, University of Aberdeen, UK Contact anya.belz(a)adaptcentre.ie, c.thomson(a)abdn.ac.uk https://repronlp.github.io

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Call for Papers: INLG/SIGDIAL Workshop on Multimodal, Multilingual NLG
by Claire Gardent 25 May '23

25 May '23

===================================================================== Workshop on Multimodal, Multilingual Natural Language Generation In conjunction with INLG/SIGDIAL 2023 ===================================================================== Prague, 12 September, 2023 https://synalp.gitlabpages.inria.fr/mmnlg2023/ ====================================================================== We invite the submission of long and short papers for the first Workshop on Muiltimodal, Multilingual NLG (MM-NLG), which will be held in Prague, in conjunction with the joint meetings of the 16th International Conference on Natural Language Generation (INLG 2023) and the 24th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDial 2023). Workshop goals and topics This event aims to bring together researchers working on text generation from multimodal input data. The workshop also emphasises multilinguality as an ongoing, open challenge for text generation methods, especially for languages which are relatively under-resourced. We therefore invite papers on all topics related to text generation from multimodal inputs, multilingual text generation, or a combination of the two. We welcome submissions which focus on multimodal and/or multilingual generation in both dialogue and non-interactive settings. NLG and multimodal inputs ========================== By Multimodal NLG, we intend to capture a broad variety of input data types and formats from which text can be generated using neural, statistical or rule-based methods. For example, while several contemporary NLG models generate based on textual prompts or prefixes, others rely on structured inputs which can take the form of `flat' semantic representations, RDF triples, etc. In a different vein, vision-to-text models generate captions, paragraphs or short narratives from visual inputs such as images or video. Finally, there is a long tradition in data-to-text NLG which seeks to generate text from numerical or other, less structured inputs. The sheer diversity is also reflected in the broad range of datasets available for training and evaluating NLG models. This workshop will provide a forum to discuss NLG research based on any input modality, fostering a debate on the directions in which the field has developed, and especially the relationship between different NLG tasks, as characterised by the variety of possible inputs, among others. NLG and multilingual outputs ============================ As the field has become increasingly dominated by large, pretrained language models, it has become increasingly evident that not all languages are on a level playing field. For example, when training data is opportunistically sourced from the web, data for certain languages is often very limited, and highly noisy. On the other hand, developing curated multilingual data for under-represented languages is very challenging, as some recent efforts (for example, the BLOOM model) have shown. This workshop will provide an opportunity for researchers to discuss challenges and report on recent work targeting NLG in multiple languages, including, but not limited to, data-lean scenarios, where transfer learning, few-shot and zero-shot approaches would be expected to play an important role. Workshop format =============== This one-day workshop will consist of an oral and a poster session, together with a special session The oral session will feature talks by two invited speakers, as well as regular paper presentations. The workshop will be hybrid. We encourage all participants to be present, but will provide online access for those who are unable, or prefer not to travel. Special session: WebNLG Challenge on Under-Resourced Languages ========================================================= In line with the goals of MM-NLG, the workshop will include a special session dedicated to the recently launched, ongoing WebNLG 2023 Challenge, which focuses on generation for under-resourced languages in few-shot and zero-shot settings. More info here: https://synalp.gitlabpages.inria.fr/webnlg-challenge/challenge_2023/ Submission formats =================== We solicit two kinds of papers: - Long papers must not exceed eight (8) pages of content, plus unlimited pages of ethical considerations, supplementary material statements, and references. - Short papers must not exceed four (4) pages, plus unlimited pages of ethical considerations, supplementary material statements, and references. Submissions should follow ACL Author Guidelines and policies for submission, review and citation, and be anonymised for double blind reviewing. See https://www.aclweb.org/adminwiki/index.php?title=ACL_Author_Guidelines Please use ACL 2023 style files; LaTeX style files and Microsoft Word templates are available at https://2023.aclweb.org/calls/style_and_formatting Authors must honour the ethical code set out in the ACL Code of Ethics, available at https://www.aclweb.org/portal/content/acl-code-ethics If your work raises any ethical issues, you should include an explicit discussion of those issues. This will also be taken into account in the review process. You may find this checklist of use: https://aclrollingreview.org/responsibleNLPresearch/ Authors are strongly encouraged to ensure that their work is reproducible; see, e.g., the reproducibility checklist at https://2021.aclweb.org/calls/reproducibility-checklist/ Papers involving any kind of experimental results (human judgments, system outputs, etc) should incorporate a data availability statement into their paper. Authors are asked to indicate whether the data is made publicly available. If the data is not made available, authors should provide a brief explanation why. (E.g. because the data contains proprietary information.) A statement guide is available on the INLG 2023 website. Paper submission ================= The workshop will only accept direct submissions. Submissions can be made to the MM-NLG START website: https://softconf.com/n/mmnlg2023/ Accepted papers will be published in the Workshop proceedings on the ACL Anthology. Important dates ================ - Deadline for long and short papers: 16 July, 2023 - Notification of acceptance: 6 August, 2023 - Deadline for camera-ready papers: 14 August, 2023 - MM-NLG Workshop: 12 September, 2023 Organising committee ====================== Anya Belz, ADAPT, Dublin City University, Ireland Claudia Borg, University of Malta, Malta Liam Cripwell, CNRS/LORIA and Lorraine University, France Aykut Erdem, Koc University, Turkey Erkut Erdem, Hacettepe University, Turkey Claire Gardent, CNRS/LORIA, France Albert Gatt, Utrecht University, The Netherlands John Judge, ADAPT, Dublin City University, Ireland William Soto-Martinez, CNRS/LORIA and Lorraine University, France Support and acknowledgements ============================ This workshop is a joint initiative which has received the support of the following projects: - LT-Bridge funded by the EU Horizon 2020 Work Programme Spreading Excellence and Widening Participation (WIDESPREAD) 2018-2020 Grant No. 952194 https://lt-bridge.eu/ - The xNLG AI Chair on Multilingual, Multi-Source Text Generation funded by the French National Research Agency (Gardent; ANR-20-CHIA-0003), Meta and the Region Grand Est https://members.loria.fr/CGardent/xnlg.html - Multi3Generation: Multimodal, Multi-task, Multi-Lingual Natural Language Generation COST Action CA18231 https://multi3generation.eu/ -- Senior Scientist at CNRS LORIA, Nancy (France) https://members.loria.fr/CGardent/

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Webminar by Pascale Fung (The Hong Kong University of Science and Technology)
by HiTZ zentroa 25 May '23

25 May '23

Dear colleague, We are happy to announce the next webinar in the Language Technology webinar series organized by the HiTZ research center (Basque Center for Language Technology, http://hitz.eus). This will be the final webinar of this academic year. You can check the videos of previous webinars and the schedule for upcoming webinars here: http://www.hitz.eus/webinars Next webinar: * *Speaker*: Pascale Fung (The Hong Kong University of Science and Technology) * *Date*: Jun 1, 2023, 15:00 CET Check past and upcoming webinars at the following url: http://www.hitz.eus/webinars If you are interested in participating, please complete this registration form: http://www.hitz.eus/webinar_izenematea If you cannot attend this seminar, but you want to be informed of the following HiTZ webinars, please complete this registration form instead: http://www.hitz.eus/webinar_info Best wishes, HiTZ Zentroa

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£1,500 Bursary to study Corpus Linguistics at Lancaster University (online)
by Brezina, Vaclav 25 May '23

25 May '23

Dear all, Lancaster University (UK) in collaboration with British Council offers a £1,500 bursary on a competitive basis as a fees contribution to study a two-year MA programme in Corpus Linguistics (Distance) with the start in October 2023. The programme is part-time and online, allowing flexible education for anyone seeking to gain qualification in Corpus linguistics from one of the world leaders in the field. More about the MA in Corpus Linguistics, including fees: https://www.lancaster.ac.uk/study/postgraduate/postgraduate-courses/corpus-… Bursary application: https://tinyurl.com/42a2pw88 Best wishes, Vaclav Professor Vaclav Brezina Professor in Corpus Linguistics Department of Linguistics and English Language ESRC Centre for Corpus Approaches to Social Science Faculty of Arts and Social Sciences, Lancaster University Lancaster, LA1 4YD Office: County South, room C05 T: +44 (0)1524 510828 [8ED5AC37]@vaclavbrezina [B213DA5D]<http://www.lancaster.ac.uk/arts-and-social-sciences/about-us/people/vaclav-…>

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Surface Syntactic Universal Dependencies, release of version 2.12
by Bruno Guillaume 25 May '23

25 May '23

We are happy to announce the release of version 2.12 of SUD (Surface Syntactic Universal Dependencies, see https://surfacesyntacticud.github.io/) 244 treebanks are available (https://grew.fr/download/sud-treebanks-v2.12.tgz): 8 are native SUD corpora and 236 are automatically converted from UD v2.12. See https://surfacesyntacticud.github.io/data/ for details. All 2.12 corpora of UD and SUD are availble on Grew-match: https://universal.grew.fr <https://universal.grew.fr/> A set of “Universal tables”, giving a global view of usage of features, dependency relations in UD and SUD treebanks, are available on https://tables.grew.fr <https://tables.grew.fr/> See the UD announcement <https://list.elra.info/mailman3/hyperkitty/list/corpora@list.elra.info/thre…> for more information about corpora and contributors. SUD is characterized by its distributional and functional head and the syntactic relation corresponding to positional paradigms. SUD offers several advantages for various studies, particularly in the areas of phrase structure, word order, and typology. For example, UD may present challenges in identifying noun phrases (NPs) since adpositions depend on nouns or in discussing subject-auxiliary order since the subject is directly linked to the lexical verb. It is important to note that the transformation from UD to SUD is accomplished using a universal Grew grammar that incorporates a set of heuristics. One such heuristic is that the most distant functional words dominate the nearest functional words to the lexical head. While this heuristic has proven effective in many cases, there are exceptions. As a result, specific grammars have been developed for languages such as German or Wolof. We encourage you to report any issues on the SUD GitHub repository <https://github.com/surfacesyntacticud/guidelines/issues>, and we will be in touch to collaborate on the development of specific grammars if needed. If you plan to develop a new UD treebank, you can consider to start a native SUD treebank, especially if you are familiar with standard syntactic theories. If you already have a treebank in a different annotation scheme (including phrase-structure based annotation), it can be simpler to first convert it in SUD and then in UD. In any case, you can contact us. <https://notes.inria.fr/l3Wgvt8LTm22PtyBBF6tpg#references-about-sud>References about SUD Kim Gerdes, Bruno Guillaume, Sylvain Kahane, Guy Perrier. Starting a new treebank? Go SUD! Theoretical and practical benefits of the Surface-Syntactic distributional approach <https://hal.inria.fr/hal-03509136v1> in DepLing 2021 <http://depling.org/depling2021/>. Kim Gerdes, Bruno Guillaume, Sylvain Kahane, Guy Perrier. Improving Surface-syntactic Universal Dependencies (SUD): surface-syntactic relations and deep syntactic features <https://hal.inria.fr/hal-02266003v1> in TLT 2019 <https://syntaxfest.github.io/syntaxfest19/tlt2019/tlt2019.html>. Kim Gerdes, Bruno Guillaume, Sylvain Kahane, Guy Perrier. SUD or Surface-Syntactic Universal Dependencies: An annotation scheme near-isomorphic to UD <https://hal.inria.fr/hal-01930614v1> in UDW 2018 <https://universaldependencies.org/udw18/>.

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Extended CFP - EnGeoData - DSAA 2023 - Greece
by Juan Antonio Lossio-Ventura 25 May '23

25 May '23

> ******************** SUBMISSION DEADLINE EXTENDED TO MAY 29 ******************** > > ====================================================================== > EXTENDED CALL FOR PAPERS - EnGeoData - DSAA 2023 > ====================================================================== > > Special Session: Geospatial Data Analysis under the Umbrella of One Health (EnGeoData) > DSAA 2023 - 10th IEEE International Conference on Data Science and Advanced Analytics > Where: Grand Hotel Palace, Thessaloniki, Greece > When: October 9 - 13, 2023 > Website: https://simbig.org/engeodata/2023/ <https://simbig.org/engeodata/2023/> > > ====================================================================== > > > OVERVIEW > ---------------------------------- > > Current context of urbanization, globalization, high mobility/trade, and climate change amid the health domain favors the (re-) emergence of known and unknown diseases. Thus, geospatial and environmental data analysis for One Health is crucial to provide insights into the connections between humans, animals, and environment. This type of analysis allows us to identify and monitor health issues that arise due to the interactions between these three areas. However, it is challenging due to: (1) the multi-modality of the data (e.g., unstructured, imaging, semantic, spatial, temporal, among others); and (2) the difficulty in choosing the "most appropriate” knowledge discovery process according to specific field needs (e.g., animal, plant or human health; crisis and disaster surveillance). > > > TOPICS OF INTEREST > ---------------------------------- > > EnGeoData 2023 has a broad scope. We invite contributions on theory and practice, including but not limited to the following areas: > > Pre and post processing of environmental data > Geographical information retrieval > Spatial data mining, spatial data warehousing, and spatial data lake > Knowledge discovery use-cases applied to environmental data > Spatial text mining > Spatial ontology > Spatial recommendation and personalization > Visual analytics for geo-spatial data > Dedicated applications: > Spatio-temporal analytics platform > Agricultural decision support systems > Urban traffic systems > Trajectory analysis > Land-use and urban policies > Land-use and urban planning analysis > Spatio-temporal analysis in ecology and agriculture > Disease surveillance systems (One Health) > > IMPORTANT DATES > ---------------------------------- > > May 22, 2023 MAY 29, 2023 --> Paper Submission Deadline > July 17, 2023 --> Paper Notification > August 7, 2023 --> Camera-ready versions > October 9-13, 2023 --> Conference held in Thessaloniki, Greece > > PUBLICATION > ---------------------------------- > > All accepted full-length papers will be published by IEEE and will be submitted for inclusion in the IEEE Xplore Digital Library. The paper length allowed for the paper is a maximum of ten (10) pages. See the IEEE Proceedings Author Guidelines for further information and instructions: https://www.ieee.org/conferences/publishing/templates.html <https://www.ieee.org/conferences/publishing/templates.html> > All submissions will be blind reviewed by the Program Committee on the basis of technical quality, relevance to the conference's topics of interest, originality, significance, and clarity. Author names and affiliations must not appear in the submissions, and bibliographic references must be adjusted to preserve author anonymity. Submissions failing to comply with paper formatting and authors anonymity will be rejected without reviews. > > > CHAIRS > ---------------------------------- > > Mathieu Roche, CIRAD, TETIS, France > Antonio Lossio-Ventura, National Institutes of Health, USA > Hamid Laga, Murdoch University, Australia > Maguelonne Teisseire, INRAE, TETIS, France > For questions, please contact us at engeodata(a)teledetection.fr <mailto:engeodata@teledetection.fr>

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[CFP] 1st International Conference on Recent Advances in Robust Argumentation Machines (RATIO24)
by Philipp Cimiano 24 May '23

24 May '23

The 1st International Conference on Robust Argumentation Machines (RATIO-24) will take place from June 5th-7th, 2024, in Bielefeld, Germany. https://ratio-conference.net <https://ratio-conference.net/> In recent years, we have witnessed significant advances in our ability to develop approaches that support the automated analysis, summarization, aggregation, retrieval and ranking of arguments exchanged “in the wild” at large scale. By "in the wild" we mean arguments exchanged on the web in debate portals or other online formats where users share opinions and viewpoints on topics relevant to them. Argument analysis methods have indeed reached a level of maturity and robustness that make them applicable to the analysis of real online debates, to find the main arguments exchanged, to summarize and group arguments, or even to automatically generate arguments to present different viewpoints and perspectives. We call for submissions of original research work on the following topics: automatic semantic analysis of arguments, including tasks such as stance detection, keypoint identification, attack/support classification, etc. analysis of arguments in discourse and dialogue automatic synthesis and generation of arguments summarization of arguments argument retrieval methods for predicting argument quality ranking of arguments according to, e.g., quality methods for rephrasing and repurposing arguments inferring the frame, viewpoint or perspective of an argument common sense knowledge in the automated analysis of arguments scalable reasoning methods for arguments applications of argument analysis in domains such as political discourse, law, science, education, finance, social sciences, etc. Papers will be peer-reviewed and published by Springer in the LNCS series. Two types of papers will be accepted: Long Papers (up to 15 pages including references): Description of substantive and original research. Short Papers (up to 8 pages including references): Description of work in progress or original research contribution of limited scope. Papers should be submitted via Easychair: https://easychair.org/conferences/?conf=ratio24 <https://easychair.org/conferences/?conf=ratio24> Important dates: Abstract submission deadline: October 27th, 2023 Full paper submission deadline: November 10th, 2023 Notification of Acceptance: January 26th, 2024 Camera-ready version: February 23rd, 2024 Conference Chairs: Philipp Cimiano (CITEC, Bielefeld University) Anette Frank (University of Heidelberg) Michael Kohlhase (University of Erlangen-Nürnberg) Benno Stein (Bauhaus University Weimar) Jürgen Ziegler (University Duisburg - Essen) Invited Speakers: Elena Cabrio (Université Côte d’Azur, Inria <http://www.unice.fr/>) Yufang Hou (IBM Research Europe) Henning Wachsmuth (Institute for Artificial Intelligence, Leibniz University of Hannover) Venue: The conference will be held in Bielefeld, Germany at the Cognitive Interaction Technology Center (CITEC). All questions about submissions should be emailed to Philipp Cimiano: cimiano(a)cit-ec.uni.bielefeld.de <mailto:cimiano@cit-ec.uni.bielefeld.de> Prof. Dr. Philipp Cimiano AG Semantic Computing Coordinator of the Cognitive Interaction Technology Center (CITEC) Co-Director of the Joint Artificial Intelligence Institute (JAII) Universität Bielefeld Tel: +49 521 106 12249 Fax: +49 521 106 6560 Mail: cimiano(a)cit-ec.uni-bielefeld.de Office CITEC-2.307 Universitätsstr. 21-25 33615 Bielefeld, NRW Germany

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Vacancy at CLARIN ERIC: Member of the Board of Directors
by Gorgaini, E. (Elisa) 24 May '23

24 May '23

As of September 2023, the CLARIN European Research Infrastructure Consortium (CLARIN ERIC) will have an opening for the position of member of the Board of Directors (0.2 fte) who will work closely together with the other directors. The appointment will be for a term of two years, with the possibility of prolongation for another term of two years. The mission of CLARIN ERIC<https://www.clarin.eu/> is to develop and maintain Europe’s common language resources and technology infrastructure. At the same time CLARIN serves as an ecosystem for the exchange of knowledge and experience that is crucial for the uptake of CLARIN within the domains in which digital scholarship is rapidly developing, in particular in the social sciences and humanities. Responsibilities and Tasks The tasks to be taken up by the new member of the Board of Directors<https://www.clarin.eu/governance/board-directors> (BoD) follow on from the responsibilities of CLARIN's executive body: * to prepare and implement strategic action lines needed for the smooth operation of CLARIN ERIC, the further articulation and implementation of the prevailing value proposition<https://office.clarin.eu/v/CE-2021-1830-ValueProposition.pdf> and the consolidation of the technological maturity of CLARIN * to optimise the conditions for a sustainable future of CLARIN ERIC * to foster the effective collaboration between the various bodies that are responsible for the governance<https://www.clarin.eu/content/governance> of CLARIN ERIC * to ensure optimal alignment of the agenda of the BoD with the strategy and activities of the National Coordinators’ Forum<https://www.clarin.eu/governance/national-coordinators-forum> (NCF) and the Strategy and Management Board<https://www.clarin.eu/governance/strategy-and-management-board> (SAMBA), and to support the coordination between the national consortia Instruments are in place to implement the CLARIN strategy and the envisaged activities to be undertaken, but the development of new action lines that would support the agreed strategic planning would be welcomed. Envisaged Profile In view of the current stage of development of the CLARIN infrastructure, the profiles of the other members of the BoD, and the challenges that CLARIN is facing, applications are solicited from candidates with a profile that ideally would include the following elements: * a clear vision on how CLARIN can reach out to existing and new scholarly communities of use * a good insight into instruments that could be deployed to increase the awareness of what CLARIN has on offer among non-academics (industry, GLAM sector, public administration, society at large) * good understanding of what is needed to increase the potential of a research infrastructure such as CLARIN for generating impact along the dimension of societal challenges and non-academic impact at large * proven experience in setting up and/or deploying instruments for the exchange of knowledge and expertise in a cross-national and/or multidisciplinary context * proven expertise in the field of natural language processing, AI and technical infrastructure In addition we expect that the suitability of candidates is also evidenced by: * familiarity with CLARIN, its mission and vision, and the concept of a research infrastructure (RI) in general * ample engagement in one or more of the relevant networks in which the European Open Science agenda is guiding the developments * familiarity with the dynamics in the European landscape of RI’s (e.g. ESFRI, EOSC) * familiarity with the major scholarly paradigms in the social sciences and humanities (SSH) and the role of infrastructural support * established connections with and good visibility in one or more of the research communities that CLARIN aims to serve and/or that contribute to the spectrum of services that CLARIN is making available * a relevant academic track record (PhD-level, plus a convincing combination of publications and/or involvement in the development of use cases, demonstrators, tools or data sets) * a relevant institutional affiliation that is guaranteed until at least the end of 2023 * excellent communication skills. A balanced diversity in the composition of the BoD as a whole will be sought along all relevant dimensions, including gender and regional background. Conditions of Employment The tasks can be carried out from the applicant’s home institute on the basis of a secondment agreement. The applicant’s home institute will be reimbursed for the release time provided to CLARIN ERIC on the basis of the applicant’s regular salary including overhead. Occasional travel to CLARIN events and participation in (virtual) meetings of the CLARIN ERIC Board of Directors is required. Funds for administrative support and a travel budget will be provided. How to Apply * Applications (including CV, publication list, statement of motivation) as well as requests for information should be sent to Patris van Boxel, CLARIN ERIC’s Chief Operations Officer, by email: patris(a)clarin.eu<https://mailto:patris@clarin.eu>; the phrase "BoD vacancy" should be included in the subject header. * The application deadline is 30 June 2023. More information about CLARIN can be found on our website www.clarin.eu<http://www.clarin.eu/>. — Elisa Gorgaini CLARIN ERIC External Relation Officer elisa(a)clarin.eu +31648213015 www.clarin.eu

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2nd announcement: Utrecht PhD positions on "Dealing with Meaning Variation in NLP" (Deadline: May 29th)
by Massimo Poesio 24 May '23

24 May '23

** Job openings: PhD studentships on meaning variation in NLP ** Utrecht University, The Netherlands The Natural Language Processing (NLP) group in the Computing and Information Sciences department of Utrecht University (UU) is looking for young researchers who want to jump-start their career in AI / NLP by taking up a PhD position. Two four-year positions are available now. They are part of the AiNed project “Dealing with Meaning Variation in NLP”, which will be led by Prof. Massimo Poesio. Vacancies for 4 further PhD positions on this project will become available over the coming 1-2 years. The overall aim of the project is to allow NLP models to make better sense of variations in the ways that different speakers and readers interpret language. The plan is for each of the 6 PhD projects to be supervised by one researcher from the NLP group and one from UU's Institute for Language Sciences. PhD PROJECT 1: Formal semantics for vagueness in interpretation This project is concerned with vagueness, a pervasive phenomenon in which the meanings of words have imprecisely defined boundaries, which are applied differently in different contexts and by different people (for example when the air temperature is described as "warm"). This PhD project will study mathematical and computational models of uncertainty and vagueness. In recent years, the theoretical literature in this area has shifted away from 2-valued towards multi-valued models, but these models have rarely been tested with real data. This PhD project will use existing “big” datasets (which are available in the weather domain, for example) to find out which models predict and explain the data best. The successful candidate will hold a Master’s degree in an area relevant to this project; this could be Artificial Intelligence, Computational Cognitive Science, Computing Science, or Linguistics. A good mastery of NLP and Excellent English communication skills (oral and written) is essential. We would also like you to take a strong interest in multi-valued and other models of natural language meaning, and in machine learning. PhD PROJECT 2: Learning under disagreements between annotators In NLP, human annotators are frequently needed to tell researchers what a given expression “means”, by assigning the expression a label. When human judges disagree about a label (e.g., whether an utterance is offensive or not), it is important that these disagreements be taken into account, as opposed to simply aggregating the values e.g., using reconciliation or majority voting. Such disagreements are now generally recognized to provide information rather than being noise. This PhD project will investigate whether the differences between various sources of disagreement (e.g., noise, ambiguity, and subjective bias) can be detected using statistical models (e.g. cross-entropy, Kullback-Leibler divergence). Last but not least, it will investigate to what extent variations in one person’s verbal behaviour can be understood mathematically in the same way as variations between different speakers. The proposed research would ideally be carried out by someone well versed in information theory and the design and analysis of experiments with human participants. The successful candidate will hold a Master’s degree in an area relevant to this project; this area could be Artificial Intelligence, Computational Cognitive Science, Computing Science, Linguistics, or Statistics. A good mastery of statistics and deep learning is essential; experience with NLP would be beneficial. A good mastery of NLP and Excellent English communication skills (oral and written) is essential. You take a strong interest in at least two of the three following areas: (1) machine learning, (2) natural language, and (3) experimental psychology. Further information about these vacancies can be found at PhD position in Natural Language Processing: statistical models of disagreement between annotators (0.8 – 1.0 FTE) - Working at Utrecht University - Utrecht University (uu.nl) <https://www.uu.nl/en/organisation/working-at-utrecht-university/jobs/phd-po…> PhD position in Natural Language Processing: verbal expression of quantities (0.8 - 1.0 FTE) - Working at Utrecht University - Utrecht University (uu.nl) <https://www.uu.nl/en/organisation/working-at-utrecht-university/jobs/phd-po…> Deadline for application is 29 May 2023. We’re looking for someone to start as soon as possible after the recruitment process is concluded but we understand that it will normally take a few months before the candidate will be ready to start. Applications should be made through the University's site (see links above). For further information, please contact: - Prof. Massimo Poesio (m.poesio AT uu.nl). - Prof. Kees Van Deemter (c.j.vandeemter AT uu.nl).

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2025

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2022