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[Final Deadline Extension] First Workshop on Information Extraction from Scientific Publications (WIESP) at AACL-IJCNLP 2022
by Tirthankar Ghosal 03 Sep '22

03 Sep '22

*** First Workshop on Information Extraction from Scientific Publications ( WIESP) at AACL-IJCNLP 2022 *** *** Website: https://ui.adsabs.harvard.edu/WIESP/ *** Twitter: https://twitter.com/wiesp_nlp The number of scientific papers published per year has exploded in recent years. Indexing the article's full text in search engines helps discover and retrieve vital scientific information to continue building on the shoulders of giants, informing policy, and making evidence-based decisions. Nevertheless, it is difficult to navigate this ocean of data. Using simple string matching has substantial limitations: human language is ambiguous in nature, context matters, and we frequently use the same word and acronyms to represent a multitude of different meanings. Extracting structured and semantically relevant information from scientific publications (e.g., named-entity recognition, summarization, citation intention, linkage to knowledge graphs) allows for better selection and filter articles. The First Workshop on Information Extraction from Scientific Publications ( WIESP) will create the necessary forum to foster discussion and research using Natural Language Processing and Machine Learning. WIESPwould specifically focus on topics related to information extraction from scientific publications, including (but not limited to): - Scientific document parsing - Scientific named-entity recognition - Scientific article summarization - Question-answering on scientific articles - Citation context/span extraction - Structured information extraction from full-text, tables, figures, bibliography - Novel datasets curated from scientific publications - Argument extraction and mining - Challenges in information extraction from scientific articles - Building knowledge graphs via mining scientific literature; querying scientific knowledge graphs - Novel tools for IE on scientific literature and interaction with users - Mathematical information extraction - Scientific concepts, facts extraction - Visualizing scientific knowledge - Bibliometric and Altmetric studies via information extraction from scientific articles and metadata - Information extraction from COVID-19 articles to inform public health policy In addition to research paper presentations, WIESP would also feature keynote talks, a panel discussion, and a shared task. We will update the details on our website as and when they become available. We especially welcome participation from academic and research institutions, government and industry labs, publishers, and information service providers. Projects and organizations using NLP/ML techniques in their text mining and enrichment efforts are also welcome to participate. ***Call for Papers*** We invite papers of the following categories: ***Long papers*** must describe substantial, original, completed, and unpublished work. Wherever appropriate, concrete evaluation and analysis should be included. Papers must not exceed eight (8) pages of content, plus unlimited pages of references. The final versions of long papers will be given one additional page of content (up to 9 pages) so that reviewers' comments can be taken into account. ***Short papers*** must describe original and unpublished work. Please note that a short paper is not a shortened long paper. Instead, short papers should have a point that can be made in a few pages, such as a small, focused contribution, a negative result, or an interesting application nugget. Short papers must not exceed four (4) pages, plus unlimited pages of references. The final versions of short papers will be given one additional page of content (up to 5 pages) so that reviewers' comments can be taken into account. ***Position papers*** will give voice to authors who wish to take a position on a topic listed above or the field of scholarly information extraction. Submissions need not present original work and should be two to four pages in length, including title, text, figures and tables, and references. ***Demo papers*** should be no more than four (4) pages in length, including references, and should describe implemented systems that are of relevance to the theme of the workshop. Authors of demo papers should be willing to present a demo of their system during WIESP at AACL-IJCNLP 2022. ***Extended Abstracts*** We welcome submissions of extended abstracts (2 pages max) related to the research topics mentioned above. Submissions may include previously published results, late-breaking results, or a description of ongoing projects in the broad field of information extraction and mining from scientific publications. Extended abstracts can also summarize existing work, work in progress, or a collection of works under a unified theme (e.g., a series of closely related papers that build on each other or tackle a common problem). ***Shared Task: Detecting Entities in the Astrophysics Literature (DEAL)*** A good amount of astrophysics research makes use of data coming from missions and facilities such as ground observatories in remote locations or space telescopes, as well as digital archives that hold large amounts of observed and simulated data. These missions and facilities are frequently named after historical figures or use some ingenious acronym which, unfortunately, can be easily confused when searching for them in the literature via simple string matching. For instance, Planck can refer to the person, the mission, the constant, or several institutions. Automatically recognizing entities such as missions or facilities would help tackle this word sense disambiguation problem. The shared task consists of Named Entity Recognition (NER) on samples of text extracted from astrophysics publications. The labels were created by domain experts and designed to identify entities of interest to the astrophysics community. They range from simple to detect (ex: URLs) to highly unstructured (ex: Formula), and from useful to researchers (ex: Telescope) to more useful to archivists and administrators (ex: Grant). Overall, 31 different labels are included, and their distribution is highly unbalanced (ex: ~100x more Citations than Proposals). Submissions will be scored using both the CoNLL-2000 shared task seqeval F1-Score at the entity level and scikit-learn's Matthews correlation coefficient method at the token level. We also encourage authors to propose their own evaluation metrics. A sample dataset and more instructions can be found at: https://ui.adsabs.harvard.edu/WIESP/2022/SharedTasks Participants (individuals or groups) will have the opportunity to present their findings during the workshop and write a short paper. The best performant or interesting approaches might be invited to further collaborate with the NASA Astrophysical Data System ( https://ui.adsabs.harvard.edu/). ***Important Dates*** - Paper/Abstract Submission Deadline: September 12, 2022 (Final extension) - Notification of workshop paper/abstract acceptance: October 7, 2022 - Camera-ready Submission Deadline: October 24, 2022 - Workshop: November 20, 2021 (online) ***All submission deadlines are 11.59 pm UTC -12h ("Anywhere on Earth")*** ***Submission Website and Format*** Submission Link: https://softconf.com/aacl2022/WIESP/ Submission will be via softconf. Submissions should follow the ACLPUB formatting guidelines (https://acl-org.github.io/ACLPUB/formatting.html) and template files (https://github.com/acl-org/acl-style-files/tree/master). Submissions (Long and Short Papers) will be subject to a double-blind peer-review process. Position papers, Demo papers, and Extended Abstracts need not be anonymized. The authors will present accepted papers at the workshop either as a talk or a poster. All accepted papers will be published in the workshop proceedings. We follow the same policies as AACL-IJCNLP 2022 regarding preprints and double submissions. The anonymity period for WIESP 2022 is from July 15 to September 25. ***Organizers*** - Tirthankar Ghosal, Charles University, CZ - Sergi Blanco-Cuaresma, Center for Astrophysics | Harvard & Smithsonian, USA - Alberto Accomazzi, Center for Astrophysics | Harvard & Smithsonian, USA - Robert M. Patton, Oak Ridge National Laboratory, USA - Felix Grezes, Center for Astrophysics | Harvard & Smithsonian, USA - Thomas Allen, Center for Astrophysics | Harvard & Smithsonian, USA -- +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Tirthankar Ghosal Researcher at UFAL, Charles University, CZ https://member.acm.org/~tghosal +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

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1st CFP: Crowdsourcing & Human Computation Track @TheWebConf 2023
by Matt Lease 02 Sep '22

02 Sep '22

https://www2023.thewebconf.org/calls/research-tracks/crowdsourcing-hc/ We invite research contributions to the Crowdsourcing and Human Computation track at the 32nd edition of The Web Conference series (formerly known as WWW), to be hosted at Austin, TX, US, on April 30 - May 4, 2023 ( https://www2023.thewebconf.org/ <https://www2023.thewebconf.org/>) Fifteen years ago, a 2007 WWW paper entitled “Internet-Scale Collection of Human-Reviewed Data <https://dl.acm.org/doi/abs/10.1145/1242572.1242604>” was one of several forerunners to signal a new, emerging area of research on Human Computation and Crowdsourcing (HCOMP). Growing excitement and work in this new area would eventually lead to four years of HCOMP workshops across KDD and AAAI (2009-2012), a new annual AAAI HCOMP conference <https://www.humancomputation.com/> (2013 onward), and a new, annual HCOMP track at the WebConference (2014 onward). Today, the world and research landscape looks remarkably different than it did in 2007, with the Web playing a central role in orchestrating such advances. Of particular note, modern neural models have transformed AI capabilities, along with far greater ubiquity and significance of AI systems now in practical deployment around the world. As one effect of this, the commoditization and democratization of AI models today has also brought a new focus to “data-centric AI” in which AI models can succeed or fail based on the quality of underlying data and human annotations. The nature of human-AI interactions are also continually evolving in response to AI advances, posing an ever-changing frontier of new challenges for researchers and practitioners. Furthermore, the growth of AI power has brought a commensurate recognition of the need for responsible AI systems that are fair, accountable, transparent, and trustworthy – across diverse, global communities of human stakeholders who interact with or are impacted by AI systems. Given the central role of HCOMP in AI (creating reliable training and benchmark annotations, as well as enabling hybrid, human-in-the-loop systems), continuing innovation in HCOMP remains a key challenge for the further advancement of AI. HCOMP itself has made tremendous strides forward in the past fifteen years, yet many research challenges remain. *We invite AI, HCI, and related contributions that advances the broad spectrum of crowdsourcing and human computation (HCOMP) in the scope of the Web*: - algorithms, analysis, applications, methods, systems, and techniques - conceptual, empirical, theoretical, and mixed-methods - spanning fields (e.g, psychology, sociology, economics, ethics, etc.) - system-centered, human-centered, and hybrid More specifically, we invite work addressing contemporary HCOMP challenges including (but not limited to) the following Web-related themes: - Fundamental research challenges in Web-based HCOMP - *Data collection, generation, labeling, and cleaning*: data-centric AI; human and AI-assisted annotation; annotator agreement, aggregation, and modeling; annotation subjectivity and ambiguity, data excellence; human-in-the-loop data augmentation, generation, and adversarial attacks; label noise and bias detection and reduction; task decomposition, task and workflow design, novel modalities for input acquisition, etc. - *Human-centered explainability *: algorithmic/model explanations, interpretability, and transparency to enhance human success in using AI in decision-making, model and data debugging, task performance, trust in AI systems, appropriate reliance, etc. (please also read the CFP of the “Fairness, Accountability, Transparency and Ethics” track) - *Human-centered studies*: collaborative systems, computer-supported cooperative work, human-computer interaction, human factors, interaction design, usability, user experience, etc. - *Resources, benchmarking, reproducibility*: New resources for the community (e.g., datasets, open source toolkits, etc.), benchmarking studies comparing state of the art methods, and/or reproducibility studies of prior work. - *Addressing bias and diversity in annotation and human computation*: Methods and algorithms to identify and mitigate biases in annotations; bias-aware annotation workflows; diversity in annotators and workers, data labeling, and hybrid, human-in-the-loop systems; downstream effects of annotator diversity on bias and fairness measures; impact on evaluation of various systems (e.g. information retrieval systems, recommender systems, etc.); ethics and fairness of HCOMP practices - Underlying workforce powering Web-based HCOMP - *Social and economic impacts of human computation and crowdsourcing*: societal and methodological challenges around crowdsourcing labor and workforces; inequalities in access and representation in crowdsourcing workforces; platform affordances and economic impact - *Supporting HCOMP workers*: collective action; design activism; fair work <https://fair.work/en/fw/homepage/>; ghost work, heteromation, and invisible work; human computation, digital colonialism, and the global south; impact sourcing <https://en.wikipedia.org/wiki/Impact_sourcing> and responsible sourcing <https://partnershiponai.org/workstream/responsible-sourcing/>; regulation; worker empowerment, organization, protection and wellness; and workforce diversity, equity, and inclusion, etc. - *Future of work*: AI-assisted human coordination, team formation and work, distributed work, freelancer economy, hybrid, human+AI work and complementarity, etc. - Web-based HCOMP systems, frameworks, or architectures - *Crowd-powered systems*: data management, marketplace design and sustainability, platforms, scalability, security, privacy, programming languages, real-time crowdsourcing, etc. - *Human-in-the-loop architectures*: decision support; human-AI collaboration, interaction, and teaming; hybrid systems; mixed-initiative design, etc. - *Crowdsourcing*: citizen science, collective intelligence, crowd computing, crowd creativity, crowdfunding, crowd ideation, crowd intelligence, crowd sensing, crowdsourcing contests, crowd phenomena, crowd science, incentive schemes, gamification, human flesh search, open innovation, peer production, prediction markets, reputation systems, social web, wisdom of crowds, etc. - *Human computation*: decision-theoretic and game-theoretic design, design patterns, human algorithm design and complexity, mechanism and incentive design, etc. - Web-based Applications of HCOMP - *Machine learning for HCOMP*: aggregation, answer fusion, annotator and user modeling, quality assurance, optimization, task assignment and recommendation, truth inference, etc. - *New Applications and Services*: delivering beyond state-of-the-art AI capabilities and enhanced services through human computation and human-in-the-loop systems. Authors should consult the conference’s main Research Track CFP <https://www2023.thewebconf.org/calls/research-tracks/> to ensure their submissions are aligned with broader conference expectations, scope, and theme: “Web Research with Openness, Fairness and Reproducibility”. The CFP also details submission guidelines, relevant dates, and important policies. Review criteria <https://www.humancomputation.com/2016/review-criteria.html> will include considerations typical of those in past years of this track and the AAAI HCOMP conference. Submissions that are out of scope or unresponsive to the call above will be rejected early during the reviewing process (“desk rejected”) with minimal feedback.This includes submissions that: - merely apply HCOMP methods in standard, previously known ways, without novel contributions to advance the methodology itself; - do not relate to the web or web-based human computation platforms, methods, or applications. In case you have doubts whether your paper fits the scope of this track, please contact the track chairs hcomp-webconf2023(a)easychair.org Important dates - Abstract submission: October 6, 2022. This is compulsory for all papers. - Full papers submission: October 13, 2022 - Rebuttal: December 15 - 22, 2022 - Notification: January 25, 2023 Track chairs: - Ujwal Gadiraju <http://ujwalgadiraju.com/>(Delft University of Technology) - Matthew Lease <https://www.ischool.utexas.edu/~ml/>(University of Texas at Austin and Amazon) - Besmira Nushi <https://besmiranushi.com/>(Microsoft Research) *Senior Program Committee & Program Committee*: Stay Tuned! -- Matt Lease Professor School of Information University of Texas at Austin Voice: (512) 471-9350 · Fax: (512) 471-3971 · Office: UTA 5.536 http://www.ischool.utexas.edu/~ml

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2nd call: EAMT Sponsorship of Activities (Students' edition) for 2023 (deadline 07/10/2022)
by Carol Scarton 02 Sep '22

02 Sep '22

************************************************************** EAMT Sponsorship of Activities (Students' edition) for 2023 Deadline: 07/10/2022 ************************************************************** == Call for Proposals == The European Association for Machine Translation (EAMT) is an organisation that serves the growing community of people interested in MT and translation tools, including translators, users, developers, and researchers of this increasingly viable technology. As part of its commitment to promote research, development and awareness about translation technologies, the EAMT is for the third consecutive year launching a call for proposals to fund MT-related activities led by students during 2023. == Purpose of the Call == The EAMT is planning to support various MT activities such as shared tasks, workshops, teaching and awareness initiatives, open-source initiatives, dataset creation and small research and development projects by its current student members. The EAMT particularly welcomes proposals from students in all levels of education, including undergraduates, postgraduates and PhD students. This call will also give priority to projects that extend work done during the Machine Translation Marathon 2022 ( https://ufal.mff.cuni.cz/events/mt-marathon-2022), being held in Prague, Czech Republic from 5 to 10 September 2022. Topics of interest include, but are not limited to: - Recent developments in MT research. - MT evaluation methodology, metrics and results. - Launch of MT-specific evaluation campaigns. - New or prospective commercial users of MT technology. - MT environments (workflow, support tools, etc.). - Interaction between users and MT systems. - MT combined with other technologies (translation memories, speech translation, cross-language information retrieval, multilingual text categorization, multilingual text summarization, etc.). - MT for less-resourced languages: development, usage, etc. - MT in the social internet: new uses, new modes of development. - MT for crisis management. - Training events on MT, particularly on recent developments. - Events to disseminate MT, especially to the wider public (including shared tasks). - Creation of datasets for MT research. All proposals will be screened by a review committee that consists of EAMT Executive Committee members and possibly a few appointed external experts if necessary. == Submission information == * Eligibility requirements * In order to qualify for funding, the individual making the proposal must be a confirmed student member of the EAMT at submission time (Membership information: http://www.eamt.org/membership.php). Applicants will also need formal approval from their supervisor. It is important to emphasise that projects are expected to be student-led. Therefore, although we welcome projects showing collaboration with industry and other academic partners, the project is expected to directly benefit the students own career and/or project. * Selection criteria * - The proposed activity should be of direct interest to the MT community at large: researchers, developers, vendors, translators and/or users of MT technologies. - The proposal shall clearly describe the purpose of the project and include measurable mid-project milestones for which a report should be submitted (see below). - Preference will be given to projects which by nature will involve and be beneficial for several persons, as for instance conferences, seminars, workshops, shared tasks and tutorials. - Proposals with a significant, clearly identified impact on the MT community (through the development, dissemination or use of project results) are those most likely to be accepted. - Proposals that bring together different aspects of MT will be especially valued. - The proposal should be clearly justified as being technically and/or scientifically sound. - The quality and efficiency of the implementation of the proposal will be evaluated. - The budget should be adequate for the proposed objectives and the actual implementation of the activity. == Budget == EAMT anticipates funding several proposals for various activities. The total foreseen EAMT Budget for this call is around €4,000 to cover all granted projects. The maximum amount EAMT can grant for a single project will be €4,000. During the negotiation stage, budget adjustments may be required by the EAMT executive committee. This means that the EAMT may only offer to partially fund a project. A project being granted financial support by EAMT according to this call will receive 50% of the granted amount at the start of the project. The proposer will receive the remaining 50% when the mid-project progress report has been received by the EAMT Secretary and substantiates that the mid-project milestones are met, and furthermore provided that the proposer is still a current member of the EAMT. == Contact for enquiries == Carolina Scarton EAMT Secretary e-mail: c.scarton(a)sheffield.ac.uk == Submission procedure == * Overview * Candidates should submit their proposals as a single PDF file, written in English, that is composed of the elements described below. - Proposal description: 2-page maximum - Person/organisation experience: 1-page maximum - Budget and project planning overview: 1-page maximum - Supervisor's letter of approval: 1-page maximum Proposals should be submitted no later than the deadline (see Important Dates below) through EasyChair: https://easychair.org/conferences/?conf=eamt2023 (Submission type: Project Proposals). Authors are encouraged to use the template available at http://www.eamt.org/eamt2020-projects.zip. Templates for both LaTeX and Microsoft Word are available. * Detailed description of sections of the proposal * 1-) Proposal summary (two pages) in English - Complete contact information of the candidate. - A clear and detailed description of the proposed event or activity. - A statement on why this event or activity would be helpful for the community and the development of your studies (you should establish a clear connection between this activity and your degree project). - A statement justifying why EAMT should support this event or activity. 2-) Experience of the proposing person in the field (up to one page) - It may include a list of experience and related skills of the participants of the team (your team may be composed by your supervisors and potential collaborators). 3-) Budget and project planning overview (up to one page) - A breakdown of the costs estimated for the entire activity or event. - Clear milestones and deliverables must be indicated. - An identification of the support requested from EAMT and possible other supporting funds. 4-) Supervisor's letter of approval (up to one page) - A letter from your supervisor stating that they approve your project submission and that they will act as fund manager if needed (please note that EAMT needs to make payments into a research account set up at your institution). == Important Dates == - Circulation of the Call: August 1, 2022 - Submission deadline for proposals: October 7, 2022, 23:59 CEST - Acceptance notifications and negotiations to start on: December 7, 2022 In case of acceptance: - Mid-project progress report due: June 30, 2023, 23:59 CEST - Final report and deliverables due: January 31, 2024, 23:59 CET == Additional provisions == - Only complete proposals will be reviewed. - All information submitted with proposals will be regarded as confidential and will only be used in the context of this project. - Following the recommendations from the reviewers and EAMT executive members, projects may be approved with amendments that will be discussed during the negotiation stage. - The funded projects may be required to report at the EAMT events (e.g. Poster at the EAMT conference, a short progress report for the General assembly, etc.). If you think you will not have funds for attending the EAMT event you can add travel costs to your budget. - The EAMT should be acknowledged in all materials related to the project, activity or initiative. == No obligation to award the proposal == The EAMT shall be under no obligation to fund the proposals pursuant to this call for proposals. EAMT shall not be liable for any compensation with respect to candidates whose proposals have not been accepted. Nor shall it be liable in the event of it deciding not to award the proposal. -- *Carolina Scarton* Lecturer in Natural Language Processing Department of Computer Science University of Sheffield http://staffwww.dcs.shef.ac.uk/people/C.Scarton/

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2nd call: EAMT Sponsorship of Activities for 2023 (deadline 07/10/2022)
by Carol Scarton 02 Sep '22

02 Sep '22

************************************************************** EAMT Sponsorship of Activities for 2023 Deadline: 07/10/2022 ************************************************************** == Call for Proposals == The European Association for Machine Translation (EAMT) is an organisation that serves the growing community of people interested in MT and translation tools, including translators, users, developers, and researchers of this increasingly viable technology. As part of its commitment to promote research, development and awareness about translation technologies, the EAMT is for the eleventh consecutive year launching a call for proposals to fund MT-related activities during 2023. == Purpose of the Call == The EAMT is planning to support various MT activities such as tutorials, workshops, teaching and awareness initiatives, open-source initiatives, and small research and development projects by its current members. The EAMT particularly encourages proposals from early career researchers. Topics of interest include, but are not limited to: - Recent developments in MT research. - MT evaluation methodology, metrics and results. - Launch of MT-specific evaluation campaigns. - New or prospective commercial users of MT technology. - MT environments (workflow, support tools, etc.). - Interaction between users and MT systems. - MT combined with other technologies (translation memories, speech translation, cross-language information retrieval, multilingual text categorization, multilingual text summarization, etc.). - MT for less-resourced languages: development, usage, etc. - MT in the social internet: new uses, new modes of development. - MT for crisis management. - Training events on MT, particularly on recent developments. - Events to disseminate MT, especially to the wider public. All proposals will be screened by a review committee that consists of EAMT Executive Committee members and possibly a few appointed external experts if necessary. == Submission information == * Eligibility requirements * In order to qualify for funding, the institution(s) or the individual making the proposal must be a confirmed member of the EAMT at submission time. Membership information: http://www.eamt.org/membership.php * Selection criteria * - The proposed activity should be of direct interest to the MT community at large: researchers, developers, vendors, translators and users of MT technologies. - The proposal shall clearly describe the purpose of the project and include measurable mid-project milestones for which a report should be submitted (see below). - Preference will be given to projects which by nature will involve and be beneficial for several persons, as for instance conferences, seminars, workshops and tutorials. - Proposals with a significant, clearly identified impact on the MT community (through the development, dissemination or use of project results) are those most likely to be accepted. - Proposals that bring together different aspects of MT will be especially valued. - The proposal should be clearly justified as being technically and/or scientifically sound. - The quality and efficiency of the implementation of the proposal will be evaluated. - The budget should be adequate for the proposed objectives and the actual implementation of the activity. == Budget == EAMT anticipates funding several proposals for various activities. There are two categories of proposals. The member institutions’ category and the individual members’ category. The total foreseen EAMT Budget for this call is around €10,000 to cover all granted projects. The maximum amount EAMT can grant for a single project will be €10,000. During the negotiation stage, budget adjustments may be required by the EAMT executive committee. This means that the EAMT may only offer to partially fund a project. A project being granted financial support by EAMT according to this call will receive 50% of the granted amount at the start of the project. The proposer will receive the remaining 50% when the mid-project progress report has been received by the EAMT Secretary and substantiates that the mid-project milestones are met, and furthermore provided that the proposer is still a current member of the EAMT. == Contact for enquiries == Carolina Scarton EAMT Secretary e-mail: c.scarton(a)sheffield.ac.uk == Submission procedure == * Overview * Candidates should submit their proposals as a single PDF file, written in English, that is composed of the elements described below. - Proposal description: 2-page maximum - Person/organisation experience: 1-page maximum - Budget and project planning overview: 1-page maximum Proposals should be submitted no later than the deadline (see Important Dates below) through EasyChair: https://easychair.org/conferences/?conf=eamt2023 (Submission type: Project Proposals). Authors are encouraged to use the template available at http://www.eamt.org/eamt2020-projects.zip. Templates for both LaTeX and Microsoft Word are available. * Detailed description of sections of the proposal * 1-) Proposal description (two pages) in English - Complete contact information of the candidate. - A clear and detailed description of the proposed event or activity. - A statement on why this event or activity would be helpful for the community. - A statement justifying why EAMT should support this event or activity. 2-) Experience of the proposing person/organisation in the field (up to one page). - It may include a list of experience and related skills of the participants of the team. 3-) Budget and project planning overview (up to one page) - A breakdown of the costs estimated for the entire activity or event. - Clear milestones and deliverables must be indicated. - An identification of the support requested from EAMT and possible other supporting funds. == Important Dates == - Circulation of the Call: August 1, 2022 - Submission deadline for proposals: October 7, 2022, 23:59 CEST - Acceptance notifications and negotiations to start on: December 7, 2022 In case of acceptance: - Mid-project progress report due: June 30, 2023, 23:59 CEST - Final report and deliverables due: January 31, 2024, 23:59 CET == Additional provisions == - Only complete proposals will be reviewed. - All information submitted with proposals will be regarded as confidential and will only be used in the context of this project. - Following the recommendations from the reviewers and EAMT executive members, projects may be approved with amendments that will be discussed during the negotiation stage. - The funded projects may be required to report at the EAMT events (e.g. Poster at the EAMT conference, a short progress report for the General assembly, etc.), without any claim for additional funds. - The EAMT should be acknowledged in all materials related to the project, activity or initiative. == No obligation to award the proposal == The EAMT shall be under no obligation to fund the proposals pursuant to this call for proposals. EAMT shall not be liable for any compensation with respect to candidates whose proposals have not been accepted. Nor shall it be liable in the event of it deciding not to award the proposal. -- *Carolina Scarton* Lecturer in Natural Language Processing Department of Computer Science University of Sheffield http://staffwww.dcs.shef.ac.uk/people/C.Scarton/

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Monthly online ILFC Seminar: interactions between formal and computational linguistics
by Timothée Bernard 02 Sep '22

02 Sep '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 two forthcoming sessions of the ILFC seminar on the interactions between formal and computational linguistics (note that they will both be held on a *Wednesday*): - 2022/09/14 17:00-18:00 UTC+2: *Ellie Pavlick* (Brown University & Google; 11:00-12:00 UTC-4) Title: *Implementing Symbols and Rules with Neural Networks* Abstract: *Many aspects of human language and reasoning are well explained in terms of symbols and rules. However, state-of-the-art computational models are based on large neural networks which lack explicit symbolic representations of the type frequently used in cognitive theories. One response has been the development of neuro-symbolic models which introduce explicit representations of symbols into neural network architectures or loss functions. In terms of Marr’s levels of analysis, such approaches achieve symbolic reasoning at the computational level (“what the system does and why”) by introducing symbols and rules at the implementation and algorithmic levels. In this talk, I will consider an alternative: can neural networks (without any explicit symbolic components) nonetheless implement symbolic reasoning at the computational level? I will describe several diagnostic tests of “symbolic” and “rule-governed” behavior and use these tests to analyze neural models of visual and language processing. Our results show that on many counts, neural models appear to encode symbol-like concepts (e.g., conceptual representations that are abstract, systematic, and modular), but not perfectly so. Analysis of the failure cases reveals that future work is needed on methodological tools for analyzing neural networks, as well as refinement of models of hybrid neuro-symbolic reasoning in humans, in order to determine whether neural networks’ deviations from the symbolic paradigm are a feature or a bug.* - 2022/10/12 17:00-18:00 UTC+2: *Dan Lassiter* (University of Edinburgh; 16:00-17:00 UTC+1) Title: *Modelling suppositional meaning in discourse* The seminar is held on Zoom. To attend the seminar and get updates, please register to be on our mailing list: https://sympa.inria.fr/sympa/subscribe/seminaire_ilfc

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Fwd: [parole] ALPS 2023 **WINTER** School, 2d Call for Participation
by François Portet 02 Sep '22

02 Sep '22

-------- Message transféré -------- Sujet : [parole] ALPS 2023 **WINTER** School, 2d Call for Participation Date : Fri, 2 Sep 2022 11:49:29 +0200 De : Laurent Besacier <laurent.besacier(a)univ-grenoble-alpes.fr> Répondre à : Laurent Besacier <laurent.besacier(a)univ-grenoble-alpes.fr> Pour : sigul(a)list.elra.info, ln(a)groupes.renater.fr <ln(a)groupes.renater.fr>, parole(a)listes.afcp-parole.org <parole(a)listes.afcp-parole.org>, gdrtal-multilinguisme(a)services.cnrs.fr, gdrtal-intermodalite(a)services.cnrs.fr, moses-support <moses-support(a)mit.edu>, mt-list(a)eamt.org =/=/=/= Parole, la liste de diffusion de l'AFCP =\=\=\=

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Open position for a doctoral student in NLP at Språkbanken Text (Gothenburg, Sweden)
by Elena Volodina 01 Sep '22

01 Sep '22

Dear all, Språkbanken Text (Gothenburg, Sweden) has an open position for a doctoral student in Natural Language Processing. It is a fully-paid 4-year position with a possibility to extend to 5 years. See the full announcement here (note a link to detailed instructions under the Section "Application"): Eng: https://web103.reachmee.com/ext/I005/1035/job?site=7&lang=UK&validator=9b89… Swe: https://web103.reachmee.com/ext/I005/1035/job?site=6&lang=SE&validator=3038… Timeline: Application deadline : September, 29th Preliminary decision : December, 21st Start of the position : February, 1st or as soon as possible after that date Please forward this announcement to relevant people and channels. Looking forward to great candidates! ___________________ 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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ADAPT: Multimodal Conversational Agents - PhD@UNITN: Application deadline: 6th of September
by Raffaella Bernardi 01 Sep '22

01 Sep '22

The IECS Doctoral School, at the University of Trento, has several PhD openings. Application deadline on September* 6, 2022 hrs. 04:00 PM *(CEST). See here for details: https://iecs.unitn.it/education/admission/call-for-application If you are interested in the project on *Adaptive Multimodal conversational agents* that will be run in collaboration with Amazon Alexa (in Berlin), please contact me at raffaella.bernardi(a)unitn.it Project description: http://iecs.unitn.it/education/admission/reserved-topic-scholarships#A1 I am looking for PhD candidates with a strong background in Computer Science, in particular on Machine Learning, ideally with some expertise on Natural Language Processing/Natural Language Generation. Raffaella ============================================================== University of Trento CIMeC: C225, second floor, Corso Bettini 31, 38068 Rovereto (TN), DISI: Povo 2, Room: 110, Via Sommarive 9, I 38123, Povo (TN) Tel. +39 0464 80 8704 (CIMeC) http://disi.unitn.it/~bernardi/ ==============================================================

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Jobs: Tenure Track Faculty, Rochester Institute of Technology
by Cecilia Alm 01 Sep '22

01 Sep '22

The Department of Psychology at the Rochester Institute of Technology (RIT; www.rit.edu/psychology<http://www.rit.edu/psychology>) invites candidates to apply for a tenure-track Assistant Professor position starting in August 2023. We are seeking two energetic and enthusiastic psychologists who will serve as instructors, researchers, and mentors to students in our undergraduate (Psychology, Neuroscience) and graduate (Masters in Experimental Psychology, Ph.D. in Cognitive Science) programs. We are particularly looking to build a cohort who can contribute to the new interdisciplinary Ph.D. program in Cognitive Science at RIT. Candidates should have expertise in cognitive psychology, comparative psychology, cognitive or behavioral neuroscience, AI, computational/psycho-linguistics or related areas. The position requires a strong commitment to teaching, active research and publication, and a strong potential to attract external funding. Teaching and research are priorities for faculty at RIT, and all faculty are expected to mentor students through advising, research and in class experiences. The successful candidates will be able to teach courses in our undergraduate cognitive psychology track (Memory & Attention, Language & Thought, Decision Making, Judgement & Problem Solving), be able to teach research methods/statistics courses at the undergraduate and graduate level, and teach and mentor students in our Cognitive Science Ph.D. program. In addition, candidates must be able to do research and work effectively within the department’s existing lab space. RIT provides many opportunities for collaborative research across the institute in many diverse disciplines such as AI, Digital Humanities, Human-Centered Computing, and Cybersecurity. We are seeking an individual who has the ability and interest in contributing to RIT’s core values<http://www.rit.edu/academicaffairs/policiesmanual/p040>, honor code<http://www.rit.edu/academicaffairs/policiesmanual/p030>, and statement of diversity.<http://www.rit.edu/academicaffairs/policiesmanual/p050> REQUIRED MINIMUM QUALIFICATIONS: • Have PhD., or PhD. expected by July 1, 2023 in cognitive psychology or cognitive science related specialty; • Have demonstrated ability to conduct independent research in psychology; • Have consistently and recently published; • Have demonstrated teaching ability and have taught college courses independently beyond TA; • Have demonstrated ability to supervise student research; • Demonstrate external research grant attainment potential; • Demonstrate expertise in research and teaching in cognitive science; • Show a career trajectory that emphasizes a balance between teaching and research; • Show a fit with the Department of Psychology’s general mission, teaching, research, and resources. • Ability to contribute in meaningful ways to the college’s continuing commitment to cultural diversity, pluralism, and individual differences. HOW TO APPLY: Apply online at http://careers.rit.edu/faculty; search openings, then Keyword Search 7153BR. Please submit your application, curriculum vitae, cover letter addressing the listed qualifications and upload the following attachments: • A brief teaching philosophy • A research statement that includes information about previous grant work, the potential for future grants, and information about one-on-one supervision of student research • The names, addresses and phone numbers for three references • Contribution to Diversity Statement<https://www.rit.edu/academicaffairs/facultyrecruitment/forms/Diversity_Stat…> You can contact the chair of the search committee, Andrew M. Herbert, Ph.D. with questions on the position at: amhgss(a)rit.edu<mailto:amhgss@rit.edu>. Review of applications will begin October 1, 2022 and will continue until an acceptable candidate is found. RIT does not discriminate. RIT is an equal opportunity employer that promotes and values diversity, pluralism, and inclusion. For more information or inquiries, please visit RIT/TitleIX or the U.S. Department of Education at ED.Gov Cecilia O. Alm, Ph.D. She/Her Joint Program Director, MS Program in Artificial Intelligence, School of Information Director, AWARE-AI NSF Research Traineeship Program - rit.edu/nrtai/<http://rit.edu/nrtai/> Associate Director, Center for Human-aware AI - rit.edu/chai/<http://rit.edu/chai/> Professor, Department of Psychology, CLA, Rochester Institute of Technology Affiliated with Department of Computer Science, Ph.D. Program in Computer and Information Sciences, MS Program in Data Science 92 Lomb Memorial Drive Rochester NY 14623 people.rit.edu/coagla, rit.edu/clasp, cs.rit.edu/~reu, rit.edu/nlp<https://people.rit.edu/coagla,%20rit.edu/clasp,%20cs.rit.edu/~reu,%20rit.ed…> W: 585-475-7327 M: 585-536-7539 coagla(a)rit.edu<mailto:coagla@rit.edu>

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PhD Position in Speech Translation at Fondazione Bruno Kessler: application deadline on September 6
by Matteo Negri 31 Aug '22

31 Aug '22

-- Apologies for cross-posting. -- IN A NUTSHELL: less than 1 week to the application deadline for a fully-funded #PhDposition in "Application-oriented Speech Translation" at Fondazione Bruno Kessler. -- Scholarship "A6": http://iecs.unitn.it/education/admission/reserved-topic-scholarships#A6 -- Application info: https://iecs.unitn.it/education/admission/call-for-application -- Deadline: September 6, 2022 FULL MESSAGE: Have you recently completed or expect very soon an MSc or equivalent degree in computer science, artificial intelligence, computational linguistics, engineering, or a related area? Are you interested in carrying out research on Speech Translation during the next few years? Are you excited to spend a part of your life in a pleasant city in the heart of the Italian Alps? WE ARE LOOKING FOR YOU!!! The Machine Translation <https://ict.fbk.eu/units/hlt-mt/> (MT) group at Fondazione Bruno Kessler (Trento, Italy) in conjunction with the ICT International Doctorate School of the University of Trento <https://iecs.unitn.it/> is pleased to announce the availability of the following fully-funded Ph.D. position in Speech Translation. TITLE: Application-oriented Speech Translation DESCRIPTION: The need to translate audio input from one language into text in a target language has dramatically increased in the last few years with the growth of audiovisual content freely available on the Web. Current speech translation (ST) systems are now required to be flexible and robust enough to operate in different application scenarios. On one side, the industry calls for key features like real-time processing, domain adaptability, extended language coverage, and the capability to meet application-specific constraints. On the other side, society calls for new efforts towards inclusiveness with respect to specific categories and groups (e.g. gender-sensitivity, customization to the needs of impaired users). Both industry and society face the orthogonal challenges posed by the variability of audio conditions (e.g. background noise, strong speakers’ accent, overlapping speakers). The objective of this Ph.D. is to make ST flexible and robust to these and other factors. CONTACT: negri(a)fbk.eu COMPLETE DETAILS AVAILABLE AT: https://iecs.unitn.it/education/admission/call-for-application IMPORTANT DATES: The deadline for application is September 6, 2022, hrs. 04:00 PM (CEST) Potential candidates are strongly invited to contact us in advance for preliminary interviews. Precedence for interviews will be given to short-listed candidates that will send us a complete CV via email ( negri(a)fbk.eu) by September 10, 2022. Candidate profile The ideal candidate must have recently completed or expect very soon an MSc or equivalent degree in computer science, artificial intelligence, computational linguistics, engineering, or a closely related area. In addition, the applicant should: - Have interest in Machine and Speech Translation - Have experience in deep learning and machine learning, in general - Have good programming skills in Python and experience in PyTorch - Enjoy working with real-world problems and large data sets - Have good knowledge of written and spoken English - Enjoy working in a closely collaborating team Working Environment The doctoral student will be employed at the MT group at Fondazione Bruno Kessler, Trento, Italy. The group (about 10 people including staff and students) has a long tradition in research on machine and speech translation and is currently involved in several projects. Former students are nowadays employed in leading IT companies in the world. Benefits Fondazione Bruno Kessler offers an attractive benefits package, including a flexible work week, full reimbursement for conferences and summer schools, a competitive salary, an excellent team of supervisors and mentors, help for housing, full health insurance, the possibility of Italian courses, and sporting facilities. Further Information For preliminary interviews, and should you need further information about the position, please contact Matteo Negri (negri(a)fbk.eu). Best Regards, Matteo Negri -- -- 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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