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PhD Position on Integrative Machine Translation at Fondazione Bruno Kessler
by Matteo Negri 03 May '23

03 May '23

-- Apologies for cross-posting. -- 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 automatic 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 <https://www.fbk.eu/en/> (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 PhD position: TITLE: Integrative Machine Translation DESCRIPTION: The advent of foundation models has introduced unprecedented opportunities in all areas of natural language processing. Automatic translation (be it speech or text translation) is no exception, with a wide variety of language directions, domains and application scenarios whose coverage is no longer a mere utopia. Although conditions today are more favourable than in the past, open challenges still exist in terms of fully exploiting the power of the available models, increasing their flexibility to integrate diverse input types, or constraining the output to meet specific application requirements. Open questions include: how to feed non-symbolic models with symbolic information describing the context of a translation request? How to supply meta-information about target users? How to integrate model capabilities with external information from structured knowledge bases? How to condition the output to specific target applications? This PhD aims to explore state-of-the-art solutions to tackle these challenges, with a special focus on the integration of multimodal information (e.g. contextual information supplied as visual cues), user-specific constraints (e.g. for gender/formality control), and application-specific constraints (e.g. structural requirements as in the case of video subtitling). CONTACTS: negri(a)fbk.eu, bentivo(a)fbk.eu COMPLETE DETAILS AVAILABLE AT: https://iecs.unitn.it/education/admission/call-for-application IMPORTANT DATES: The deadline for application is May 30, 2023, hrs. 04:00 PM (CEST) Prospective 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, bentivo(a)fbk.eu) by May 18, 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 an 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 with 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) and Luisa Bentivogli (bentivo(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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Call for papers Special Issue on Non-decisive Valuation of Literature in the Digital Sphere
by Berenike Herrmann 03 May '23

03 May '23

Dear all, here’s a call for papers for a special issue of Zeitschrift für digitale Geisteswissenschaften! (German version see: https://zfdg.de/cfp-sonderband-2023) Neither “Fail” nor “Hymn”: Non-decisive Valuation of Literature in the Digital Sphere The aim of the planned special issue of the Zeitschrift für digitale Geisteswissenschaften is to shed more light on the phenomenon of non-decisive literary valuation under the auspices of the digital transformation, using various approaches and concrete case studies. The call emerged from a panel at the 27th Germanistentag in 2022. Theme Today, millions of readers evaluate literature using a variety of digital apps and Internet platforms. The spectrum ranges from the awarding of stars and likes to detailed reviews and the rewriting and rewriting practices of fan fiction. Here, the digital space opens up a new kind of evaluation practice beyond the premises of professional literary criticism. Especially non-decisive acts of evaluation, which occupy a middle position between the rating poles, allow a differentiated weighing of weaknesses and strengths of the evaluated text and at the same time enable the exploration of the evaluation process itself. Examples of non-decisive evaluative acts include the use of ordinal middle positions ('three out of five stars'), ambivalent reviews that juxtapose both positive and negative aspects of a work, or the transformative practice of fan fiction that takes up and reuses selected aspects of source texts while ignoring others. Rather fuzzy middle positions open up interesting dimensions of analysis with uncertainty and ambivalence. Moreover, valuing always means referencing: so what role do practices of comparison play in non-decisive valuations? In the digital space, both the expertise of the wreaders and the media conditions of literary platforms such as Wattpad, Goodreads, and other social media such as TikTok and YouTube come into focus. Central here seem to be both the underlying axioms on the level of content, form, and effect of evaluation and their linguistic expression, as well as aspects of social action and the mediality of evaluation practices – for example, the social function of the mostly peer-supported wreaders’ communities and the digital materiality of the platforms. Possible topics are: (comparative) analysis of non-decisive valuation(s) on selected wreading or reviewing platforms. (linguistic, semiotic, pictorial, etc.) signs of non- decisive valuation acts Scales, frames of reference, and manifestations of non- decisive valuation practices Non-decisive value practices in historical comparison Non-decisive value and social value practices in the digital space Non-decisive valuing as a way of participating in the discourse on literature The relationship between uncertainty and ambiguity in literary evaluation Mediality of non-decisive valuation practices in the digital space Structure of the Special Issue Special focus is given to studies from the field of Digital Humanities that use computer-based methods. Contributions can be written in German or English. The planned publication venue is the Zeitschrift für digitale Geisteswissenschaften; accepted contributions will be published as a digital special issue under Open Access conditions and reviewed in Open [Public] Peer Review (post publication). Papers may be submitted in the following categories: Long Papers Contributions on theoretical and methodological questions as well as critical debates on epistemological horizons of the described topic complex in the context of the Digital Humanities. Present research results or projects in detail and put them up for discussion, or deal with overarching issues. Length: 5,000 to 10,000 words Project Presentations Present and discuss concrete projects on the topic and place them in the research context. Length: 2,000 to 5,000 words Data Papers Accompany the publication of research data on the subject complex, which are published either in the research data repository of the Herzog August Bibliothek / the MWW or externally (in compliance with the FAIR principles) Present in detail the underlying questions, collection methods, and potential horizons of use and their limitations of the research data and place them in the research context Length: up to 10,000 words Please note that with this new (English, more international) call the new deadline for full papers is 31 AUGUST (please disregard the date on https://zfdg.de/cfp-sonderband-2023). Please send us your abstract by 18 MAY (500 words). Do not hesitate to approach us with any questions. Very best, Maria Kraxenberger & Berenike Herrmann Prof. Dr. Berenike Herrmann German Literature / Digital Humanities Bielefeld University https://jberenike.github.io/ Acting Chair SCC Collections NFDI text+ (National Research Data Infrastructure, Consortium text+) Speaker BiLinked CoP Data Literacy Principal Investigator SNF-Project “High Mountains Low Arousal? Distant Reading Topographies of Sentiment in German Swiss Novels in the early 20th Century” Principal Investigator SFB1288 Project “Vergleichspraktiken in der Genese, Verstetigung und Transformation von ‘Nationalliteratur’. Der Fall Deutschschweiz”

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Final CfP (Deadline: 5th May) : IWCS workshop on Semantics in Organisational Communication
by Matthew Purver 03 May '23

03 May '23

Final CfP: SemInOrgCom: Semantics in Organisational Communication https://sodestream.github.io/seminorgcom/ June 20th, Nancy, France Co-located with IWCS 2023 Important dates: Regular and non-archival submissions: * May 5th (extended from April 14th) Submission deadline * June 2nd (extended from May 12th) Notification of acceptance * June 9th Camera ready deadline for regular papers Workshop: * 20th Jun Workshop date Keynote speakers: Dr. Colin Perkins (University of Glasgow; chair, Internet Research Task Force) Prof. Magda Osman (University of Cambridge, Research and Analysis Centre for Science and Policy) Workshop description: Interaction and communication are at the heart of every organisation, from small to large, and take many forms: email, group messaging applications, face-to-face and online meetings of various sizes, and others. Insights into how people express complex issues, discuss their own and others’ intentions and make decisions could help make these processes more efficient and/or transparent and lead to a range of assistive tools. However, the group interaction involved is often at a scale between the small scales usually assumed in computational semantics or dialogue modelling, and the very large scales usually studied in social networks. The organisational nature also brings important factors that affect language and the meaning expressed or understood – explicit or implicit hierarchy, shared or disputed goals, and social groupings with competitive or collaborative agendas – well known in other disciplines but not often taken into account in computational semantics. The computational linguistics community has looked at various relevant phenomena and tasks (e.g., meeting summarization, intention detection, intention detection, argument mining, agreement/disagreement detection, persuasiveness detection), and some relevant datasets have been produced (e.g., the Enron email dataset). However, there are still relatively few attempts and few resources or approaches to semantics in organisational communication in general. This workshop aims to fill this gap to model, analyse and understand overall organisational communication, and encourage collaboration between researchers from diverse backgrounds, including computational linguistics, organisational psychology, and computational social science. Main topics: We welcome work broadly in the area of natural language processing, computational linguistics, computational social science, sociolinguistics, organisational psychology, and related fields with the aim of better understanding organisational communication. Cross-disciplinary collaborations between computer scientists and other social scientists in order to reach richer insights are especially welcome. We also encourage contributions that address multilingual settings as well as low-resource languages. The workshop topics include but are not limited to: * Summarization of meetings and other organisational communication * Models of argument, (dis)agreement and decision-making * Analysis of influence, persuasiveness and power relations * Effects of organisational culture and hierarchy * Communication across different modalities and timescales * Differences between organisational communication and other forms of communication * Datasets and annotation schemas for organisational communication * Social network analysis in organisations as applied to communication * Diachronic analysis of organisational communication * Application and adaptation of NLP models to organisational communication. Format: Regular submissions (long and short) Authors are invited to submit full papers of up to 8 pages of content and short papers of up to 4 pages of content, with unlimited pages for references. Accepted papers will be given an additional page of content to address reviewer comments and will be published in the ACL Anthology. Previously published papers cannot be accepted. Dual submissions are allowed; papers that are currently undergoing review at other venues are welcome but must declare this on submission. Non-archival submissions We welcome two types of non-archival submissions. First, you can submit an extended abstract of work not published elsewhere. These can include position papers, or early-stage work that would benefit from peer feedback. Second, work previously accepted/published elsewhere, along with details about the venue or journal where it is accepted, and a link to the archived version, if available. In both cases there are no page limits, or style/anonymity requirements, and the submissions will be reviewed only for the fit to the workshop theme. Papers accepted as non-archival will be given an opportunity to present the work at the workshop but will not be published in the ACL Anthology (they will be available on the workshop website). Hackathon submissions An active, experimentation-based track where hackathon-type online activities precede the workshop, and teams/individuals present their work in the workshop. The hackathon organisers will provide data, task suggestions, and periodic feedback. Though, participants are free to work on any relevant task or dataset during their hackathon project. Hackathon activities are by design online, while the rest of the workshop will be in person. Hackathon participants are invited (but not required) to submit a system description paper (up to 4 pages + unlimited pages for references); authors will be able to choose whether these are published in the ACL anthology. Journal special issue After the workshop, we will explore the possibility of inviting selected authors to submit a paper to a special issue of the Dialogue & Discourse journal. The journal submissions would undergo further review, and the paper should be substantially different from the original work. Submission instructions: Similar to IWCS, regular submissions should be fully anonymous to ensure double-blind reviewing. All submissions should follow the IWCS conference template (see https://iwcs2023.loria.fr/call-for-papers/) Submission link: https://softconf.com/iwcs2023/seminorgcom/ Program committee: Ignacio Castro, Queen Mary University of London Goran Glavaš, University of Würzburg Patrick Healey, Queen Mary University of London Mladen Karan, Queen Mary University of London Stephen McQuistin, University of Glasgow Paul Piwek, Open University Matthew Purver, Queen Mary University of London and Jožef Stefan Institute Ravi Shekhar, University of Essex Muskaan Singh, Ulster University Gareth Tyson, Hong Kong University of Science of Science and Technology Andreas Vlachos, University of Cambridge Ivan Vulić, University of Cambridge (more TBA) -- Matthew Purver - http://www.eecs.qmul.ac.uk/~mpurver/ Computational Linguistics Lab - http://compling.eecs.qmul.ac.uk/ Cognitive Science Research Group - http://cogsci.eecs.qmul.ac.uk/ School of Electronic Engineering and Computer Science Queen Mary University of London, London E1 4NS, UK *My working days for QMUL are Monday-Wednesday; responses to mail on other days may be delayed.*

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several postdoc and phd positions, University of Gothenburg, Sweden
by Sharid Loáiciga 03 May '23

03 May '23

We're recruiting 4 postdocs at CLASP, and one postdoc and 1 phd student within another project in linguistics. CLASP Postdoc computational linguistics focused on multimodal coreference https://web103.reachmee.com/ext/I005/1035/job?site=7&lang=UK&validator=9b89… Postdoc in computational linguistics focused on incremental sentence processing and experimental psycholinguistics https://web103.reachmee.com/ext/I005/1035/job?site=7&lang=UK&validator=9b89… Postdoc in Computational linguistics with specialisation in language grounding to vision, robotics, and beyond https://web103.reachmee.com/ext/I005/1035/job?site=7&lang=UK&validator=9b89… Postdoc in Computational linguistics focused on Logic https://web103.reachmee.com/ext/I005/1035/job?site=7&lang=UK&validator=9b89… Linguistics: Post doc in computational linguistics and/or cognitive science https://web103.reachmee.com/ext/I005/1035/job?site=7&lang=UK&validator=9b89… PhD student in computational linguistics and/or cognitive science https://web103.reachmee.com/ext/I005/1035/job?site=7&lang=UK&validator=9b89…

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Postdoc position on Explainable NLP at the University of Copenhagen
by Isabelle Augenstein 03 May '23

03 May '23

The Natural Language Processing Section at the Department of Computer Science, Faculty of Science at University of Copenhagen is offering a PhD scholarship in Fair and Accountable Natural Language Processing, with a start date of 1 September 2023. The application deadline is 24 May 2023. Applications for the positions can be submitted here: https://candidate.hr-manager.net/ApplicationInit.aspx/?cid=1307&departmentI… The PhD fellowship is offered in the context of a project supported by the Carlsberg Foundation on understanding employer descriptions in job ads led by Pia Ingold and co-led by Isabelle Augenstein (https://www.carlsbergfondet.dk/da/Forskningsaktiviteter/Bevillingsstatistik…). The project team will further include one postdoctoral researcher at the Department of Psychology as well as external partners. The project will comprise studies using methods from experimental psychology, as well as analyses of two existing big datasets on job ads (one in Danish, one in German) using Natural Language Processing. The role of the PhD student to be recruited in this call will be to research fair and accountable Natural Language Processing methods, which can be used to understand what influences the employer images that organisations project in job ads. Informal enquiries about the position can be made to Professor Isabelle Augenstein, Department of Computer Science, University of Copenhagen, e-mail: augenstein(a)di.ku.dk<mailto:augenstein@di.ku.dk>. Isabelle Augenstein, Dr. Scient., Ph.D. Professor and Head of the NLP Section, Department of Computer Science (DIKU) Co-Lead, Pioneer Centre for Artificial Intelligence University of Copenhagen Østervold Observatory Øster Voldgade 3 1350 Copenhagen augenstein(a)di.ku.dk<mailto:s.belongie@di.ku.dk> http://isabelleaugenstein.github.io/

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PhD position on Fair and Accountable Natural Language Processing at the University of Copenhagen
by Isabelle Augenstein 03 May '23

03 May '23

The Natural Language Processing Section at the Department of Computer Science, Faculty of Science at University of Copenhagen is offering a PhD scholarship in Fair and Accountable Natural Language Processing, with a start date of 1 September 2023. The application deadline is 24 May 2023. Applications for the positions can be submitted here: https://candidate.hr-manager.net/ApplicationInit.aspx/?cid=1307&departmentI… The PhD fellowship is offered in the context of a project supported by the Carlsberg Foundation on understanding employer descriptions in job ads led by Pia Ingold and co-led by Isabelle Augenstein (https://www.carlsbergfondet.dk/da/Forskningsaktiviteter/Bevillingsstatistik…). The project team will further include one postdoctoral researcher at the Department of Psychology as well as external partners. The project will comprise studies using methods from experimental psychology, as well as analyses of two existing big datasets on job ads (one in Danish, one in German) using Natural Language Processing. The role of the PhD student to be recruited in this call will be to research fair and accountable Natural Language Processing methods, which can be used to understand what influences the employer images that organisations project in job ads. Informal enquiries about the position can be made to Professor Isabelle Augenstein, Department of Computer Science, University of Copenhagen, e-mail: augenstein(a)di.ku.dk<mailto:augenstein@di.ku.dk>. Isabelle Augenstein, Dr. Scient., Ph.D. Professor and Head of the NLP Section, Department of Computer Science (DIKU) Co-Lead, Pioneer Centre for Artificial Intelligence University of Copenhagen Østervold Observatory Øster Voldgade 3 1350 Copenhagen augenstein(a)di.ku.dk<mailto:s.belongie@di.ku.dk> http://isabelleaugenstein.github.io/

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[FinNLP@IJCAI-2023] Deadline Extended - Call for Paper and ESG Shared Task Participants
by CHUNG-CHI CHEN 03 May '23

03 May '23

Dear colleagues, This year, FinNLP-2023 will be in conjunction with IJCAI-2023 on 20th August 2023, Macao. This year, we organize a Joint Workshop of The 5th Financial Technology And Natural Language Processing (*FinNLP*) and 2nd *Multimodal AI For Financial Forecasting* (Muffin). Thus, papers related to NLP or multimodal AI in finance are welcome. This year, we have a shared task related to *multilingual ESG issue identification*. Registration is open now, and the datasets are released. Now, we have over 20 teams registered. Welcome to join us! Please refer to our website for more details - FinNLP-2023: https://sites.google.com/nlg.csie.ntu.edu.tw/finnlp-2023/home *Submission Deadline (Extended): May 11, 2023* Accepted papers proceedings will be published at ACL Anthology. ( https://aclanthology.org/venues/finnlp/) Best Regards, FinNLP and Muffin Organizers *Topics*This workshop will hold a research track and two shared tasks. The research track aims to explore recent advances and challenges of NLP & multimodal AI for finance. Researchers from artificial intelligence, computer vision, speech processing, natural language processing, data mining, statistics, optimization, and other fields are invited to submit papers on recent advances, resources, tools, and challenges on the broad theme of Multimodal AI for finance. The topics of the workshop include but are not limited to the following: - Transformer models / Self-supervised / Transfer Learning on Financial Data - Machine Learning for Finance - Natural Language Processing and Speech Applications for Finance - Conversational dialogue modeling for Financial Conference Calls - Social media and User NLP for Finance - Entity extraction and linking, Named-entity recognition, information extraction, relationship extraction, ontology learning in financial documents - Financial Document Processing - Multi-modal financial knowledge discovery - Financial Event detection from Multimedia - Visual-linguistic learning for financial video analysis - Video understanding (human behavior cognition, topic mining, facial expression detection, emotion detection, deception detection, gait and posture analysis, etc.) - Data annotation, acquisition, augmentation, feature engineering, for financial/time-series analysis - Bias analysis and mitigation in financial models and data - Statistical Modeling for Time Series Forecasting - Interpretability and explainability for financial AI models - Privacy-preserving AI for finance *Submission* Authors are invited to submit their unpublished work that represents novel research. The papers should be written in English using the IJCAI-23 author kit and follow the IJCAI 2023 formatting guidelines. Authors can also submit the supplementary materials, including technical appendices, source codes, datasets, and multimedia appendices. All submissions, including the main paper and its supplementary materials, should be fully anonymized. For more information on formatting and anonymity guidelines, please refer to IJCAI 2023 call for papers page. - Short Paper: Up to 4 pages of content including the references. Upon the acceptance, the authors are provided with 1 more page to address the reviewer's comments. - Long Paper: Up to 8 pages of content including the references. Upon the acceptance, the authors are provided with 1 more page to address the reviewer's comments.

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Call for Participation: CLEF 2023 LongEval (EXTENDED DEADLINE)
by Harish Tayyar Madabushi 02 May '23

02 May '23

We invite you to take part in *CLEF 2023 LongEval: Longitudinal Evaluation of Model Performance shared task.* *Updated Timelines:* -------------------------------- Deadline for registration: 21st May 2023 Test Data release: 4th May 2023 Submissions Due: 22nd May 2023 *You can now directly register on the Codalab website: * https://codalab.lisn.upsaclay.fr/competitions/12762 *Join the Slack channel*: https://join.slack.com/t/longeval/shared_invite/zt-1tmql633q-w20e3oNq157bkh… The CLEF 2023 LongEval lab is motivated by recent research showing that the performance of information retrieval and text classification models drops as the test data becomes more distant in time from the training data. *LongEval-Classification:* The goal of Task 2 is to propose a temporal persistence classifier which can mitigate performance drop over short and long periods of time compared to a test set from the same time frame as training. Organisers ------------------------------------------------------------ Rabab Alkhalifa, Iman Bilal, Hsuvas Borkakoty, Jose Camacho-Collados, Romain Deveaud, Alaa El-Ebshihy, Luis Espinosa-Anke, Gabriela Gonzalez-Saez, Petra Galuščáková, Lorraine Goeuriot, Elena Kochkina, Maria Liakata, Daniel Loureiro, Harish Tayyar Madabushi, Philippe Mulhem, Florina Piroi, Martin Popel, Christophe Servan, Arkaitz Zubiaga.

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Call for paper and special issue proposals: JrnlRDSLCS
by Stefan Th. Gries 02 May '23

02 May '23

Dear all The *Journal of Research Design and Statistics in Linguistics and Communication Science* is hereby soliciting submissions of papers as well as proposals for guest-edited special issues and is encouraging all corpus linguists working with quantitative methods to check out our call published on the journal website at <https://journal.equinoxpub.com/JRDS/announcement/view/312>. There, you will also find more info on the range of topics/fields we're particularly interested in as well as contact information for the editors. Cheers, STG UC Santa Barbara & JLU Giessen

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Fully funded PhD positions in recommendation and search
by Maarten de Rijke 02 May '23

02 May '23

Fully funded PhD positions in recommendation and search Come and join us to work as a PhD student! At the IRLab of the University Amsterdam we have two fully funded, four-year PhD positions on the following topics: * Full page personalization in recommender systems; this is a position in the TAIM Lab, a collaborative research lab with RTL, Maastricht University, and the University of Amsterdam * Truthful generative methods for news content; this is a position in the REM Lab, a collaborative research lab with DPG Media, the Jheronymus Academy of Data Science, and the University of Amsterdam. The TAIM and REM Lab are part of the national Innovation Center for AI (ICAI). To find out more about these positions and to apply, please check out https://staff.fnwi.uva.nl/m.derijke/two-phd-positions/ -- Maarten de Rijke Distinguished University Professor AI & IR University of Amsterdam http://staff.fnwi.uva.nl/m.derijke

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2025

2024

2023

2022

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