February 2023 - Corpora

Vacancy for Research Associate in Natural Language Processing (KTP Associate)
by Paul Thompson 28 Feb '23

28 Feb '23

This is an exciting opportunity at the cutting edge of innovation in the legal and financial sectors for an ambitious graduate with the ability and confidence to undertake a ground-breaking natural language processing project. The University of Manchester and 10BE5 are looking for a driven and accomplished candidate to undertake a 30-month project that aims to automate fact-checking and verification of disclosure documents. The successful candidate will have the unique distinction of also being: - a member of the University of Manchester's prestigious and world-leading National Centre for Text Mining; and - a part of the diverse and dynamic team at 10BE5, an award-winning and fast-growing legal tech company that affords opportunities of interacting with many of the world's largest corporations and firms. The successful candidate will conduct novel to work research in fact-checking and verification, as well as claim mining from legal and financial documents. He/she will also work on the development of labelled data using active and proactive generative approaches and the use of knowledge graphs. Candidates will require a PhD in Natural Language Processing and work experience in related domains. The post is partly funded through a Knowledge Transfer Partnership (KTP) award, the UK Government's flagship scheme intended to promote sustained and mutually beneficial relationships between research organizations and industry. The contractual place of work will be 10BE5 Ltd., 107-111 Fleet Street, London, EC4A 2AB. This role, however, follows a hybrid working pattern that will see the candidate alternating between working from home and at the business location plus occasional visits the University campus in Manchester. The successful candidate will work with supervisors from both the University of Manchester and 10BE5 and will use the facilities and resources of both organisations. Salary: £34,308 to £42,155 per annum depending on experience This position also qualifies for a London Weighting allowance of £3,000 per annum due to 10BE5's London location and includes access to a ring-fenced £5,000 personal development budget Closing date: 14/03/2023 Contract Duration: Available For 30 Months From Start Date For further information and to apply, please visit: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=24920 -- Paul Thompson Research Fellow Department of Computer Science National Centre for Text Mining Manchester Institute of Biotechnology University of Manchester 131 Princess Street Manchester M1 7DN UK Tel: 0161 306 3091 http://personalpages.manchester.ac.uk/staff/Paul.Thompson/

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Fully Funded PhD Position: "Emergent Behavior in Large Language Models: Social, Cultural and Psychological Dimensions ».
by Thierry Poibeau 28 Feb '23

28 Feb '23

PhD position available - MSCA COFUND, AI4theSciences (PSL University, France) - "Emergent Behavior in Large Language Models: Social, Cultural and Psychological Dimensions ». Large language models are trained on very large datasets and are known to learn different kinds of associations, certain of them being problematic and leading to biases and stereotypes. But how do these models encode opinions, beliefs and other cultural traits? How should a model deal with this kind of information? This thesis will offer an opportunity to explore these issues. The position is based in Paris (Ecole normale supérieure / PSL), supervised by Thierry Poibeau (https://www.lattice.cnrs.fr/en/members/direction/thierry-poibeau/). It will be co-supervised by Simon Hegelich, from TUM (https://www.hfp.tum.de/politicaldatascience/team/simon-hegelich/) and Saurabh Dhawan (https://www.hfp.tum.de/politicaldatascience/team/saurabh-dhawan/). Candidates should have a strong technical background in AI / NLP (an experience with large language models would be a plus, of course). An additional degree or good knowledge of social sciences is also desirable. Candidates should apply before March, 31. They should not have spent more than 12 months in France in the past 36 months. A more detailed description of the position as well as of the selection procedure is available here: https://euraxess.ec.europa.eu/jobs/67053 (the selection will be done by an independent committee following the MSCA rules. Candidates are however strongly encouraged to contact the PhD supervisor before the application deadline). All the best, Thierry Poibeau

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[CfP] 1st International Workshop on Semantic Methods for Events and Stories (SEMMES 2023)
by Pasquale Lisena 28 Feb '23

28 Feb '23

apologies for cross-posting *************** Semantic Methods for Events and Stories (SEMMES 2023) – Call for Papers *************** Website: https://anr-kflow.github.io/semmes/ CfP: https://easychair.org/cfp/SEMMES2023 Workshop co-located with the Extended Semantic Web Conference (ESWC) Submission deadline: March 9th, 2023 Scope *************** An important part of human history and knowledge is made of events, which can be aggregated and connected to create stories, be they real or fictional. These events as well as the stories created from them can typically be inherently complex, reflect societal or political stances and be perceived differently across the world population. The Semantic Web offers technologies and methods to represent these events and stories, as well as to interpret the knowledge encoded into graphs and use it for different applications, spanning from narrative understanding and generation to fact-checking. The aim of our workshop on Semantic Methods for Events and Stories (SEMMES) is to offer an opportunity to discuss the challenges related to dealing with events and stories, and how we can use semantic methods to tackle them. We welcome approaches which combine data, methods and technologies coming from the Semantic Web with methods from other fields, including machine learning, narratology or information extraction. This workshop wants to bring together researchers working on complementary topics, in order to foster collaboration and sharing of expertise in the context of events and stories. Topics *************** Topics of interest include, but are not limited to: - Ontologies and data models for representing events, event relations, and narratives; - Event extraction, co-reference and linking; - Event Relation extraction and linking (e.g. temporal, causal, modal relationships); - Fake events detection and event verification; - Event-centric question answering; - Event information visualisation; - Event-centric knowledge graphs and vocabularies; - Completion of event-centric knowledge graphs and reasoning; - Event summarisation; - Automatic narrative understanding and generation; - Storytelling Applications/Demos. Submission Guidelines *************** We welcome the following types of contributions. - Long papers (10-15 pages including references) - Short papers (5-9 pages including references) We welcome any types of research, resource and application papers, as well as (short only) demonstration submissions. Submissions must be written in English and formatted using the template for submissions to CEUR Workshop Proceedings (https://www.overleaf.com/latex/templates/template-for-submissions-to-ceur-w…) All papers and abstracts have to be submitted electronically via EasyChair: https://easychair.org/conferences/?conf=semmes2023. Each accepted paper needs to be presented by one of the authors, who agrees to register and participate in SEMMES. Important Dates *************** - Submission deadline: March 9th, 2023 - Notifications: April 13th, 2023 - Camera-ready version: April 20th, 2023 - Workshop day: May 29th, 2023 afternoon All deadlines are 23:59 anywhere on earth (UTC-12). Proceedings *************** The complete set of papers will be published with the CEUR Workshop Proceedings (http://CEUR-WS.org), listed by the DBLP. -- Pasquale Lisena EURECOM, Campus SophiaTech 450 route des Chappes, 06410 Biot, France e-mail: pasquale.lisena(a)eurecom.fr site: http://pasqlisena.github.io/-- Pasquale Lisena EURECOM, Campus SophiaTech 450 route des Chappes, 06410 Biot, France e-mail: pasquale.lisena(a)eurecom.fr site: http://pasqlisena.github.io/

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3-year PhD position in Computational Models of Semantic Memory and its Acquisition (Inria and University of Lille, France)
by Pascal Denis 28 Feb '23

28 Feb '23

Hello, Could you please distribute the following job offer? Thanks. Best, Pascal ------------------------------------------------------------------------------------- 3-year PhD position in Computational Models of Semantic Memory and its Acquisition (Inria and University of Lille, France) We invite applications for a 3-year PhD position at the University of Lille in the context of the recently funded research project "COMANCHE" (Computational Models of Lexical Meaning and Change). The position is funded by Inria, the French national research institute in Computer Science and Applied Mathematics. COMANCHE proposes to transfer and adapt neural word embeddings algorithms to model the acquisition and evolution of word meaning, by comparing them with linguistic theories on language acquisition and language evolution. At the intersection between Natural Language Processing, psycholinguistics and historical linguistics, this project intends to validate or revise some of these theories, while also developing computational models that are less data hungry and computationally intensive as they exploit new inductive biases inspired by these disciplines. The first strand of the project, on which the successful candidate will work, focuses on the development of computational models of semantic memory and its acquisition. Two main research directions will be pursued. On the one hand, we will compare the structural properties associated to different semantic spaces derived from word embedding algorithms to those found in human semantic memory as reflected in behavioral data (such as typicality norms) as well as brain imaging data. The latter data will then used as additional supervision to inject more hierarchical structure into the learned semantic spaces. One the other hand, we intend to experiment with training regimes for word embedding algorithms that are closer to those of humans when they acquire language, controlling the quantity as well as the linguistic complexity of the inputs fed to the learning algorithms through the use of longitudinal and child directed speech corpora (e.g., CHILDES, Colaje). In both cases, both English and French data will be considered. The successful candidate holds a Master's degree in computational linguistics or computer science or cognitive science and has prior experience in word embedding models. Furthermore, the candidate will provide strong programming skills, expertise in machine learning approaches and is eager to work across languages. The position is affiliated with the MAGNET team at Inria, Lille [1] as well as with the SCALAB group at University of Lille [2] in an effort to strenghten collaborations between these two groups, and ultimately foster cross-fertilizations between Natural Language Processing and Psycholinguistics. Applications will be considered until the position is filled. However, you are encouraged to apply early as we shall start processing the applications as and when they are received. Applications, written in English or French, should include a brief cover letter with research interests and vision, a CV (including your contact address, work experience, publications), and contact information for at least 2 referees. Applications (and questions) should be sent to Angèle Brunellière (angele.brunelliere(a)univ-lille.fr) and Pascal Denis (pascal.denis(a)inria.fr). The starting date of the position is 1 October 2022 or soon thereafter, for a total of 3 full years. Best regards, Angèle Brunellière and Pascal Denis [1] https://team.inria.fr/magnet/ [2] https://scalab.univ-lille.fr/ -- Pascal ---- Pour une évaluation indépendante, transparente et rigoureuse ! Je soutiens la Commission d'Évaluation de l'Inria. ---- +++++++++++++++++++++++++++++++++++++++++++++++ Pascal Denis Equipe MAGNET, INRIA Lille Nord Europe Bâtiment B, Avenue Heloïse Parc scientifique de la Haute Borne 59650 Villeneuve d'Ascq Tel: ++33 3 59 35 87 24 Url: http://researchers.lille.inria.fr/~pdenis/ +++++++++++++++++++++++++++++++++++++++++++++++

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Paris 8 Summer Corpus Intensive
by Daniel HENKEL 27 Feb '23

27 Feb '23

(Texte en français ci-dessous) Paris 8 University is pleased to announce their upcoming Summer Intensive Program "*Corpus Methods in Linguistics--compilation, annotation, and quantitative analysis*", to be held 5-9 June 2023. This will be a 30h week-long course consisting of: --morning sessions devoted to data collection, extraction and organization, as well as DIY corpus building --afternoon sessions focusing on statistical analysis of the data produced during the morning sessions --several half-day sessions on automatic annotation and manual annotation methods Participants will learn how to: --formulate advanced search queries in a concordancer (e.g. TextSTAT, AntConc) --compile a text corpus with BootCaT --automatically annotate a text corpus in TreeTagger --manually annotate a text corpus in UAM CorpusTool --measure keyword specificity and collocation strength using AntConc --perform statistical analyses of categorical variables in R This program is intended primarily for researchers and upper-level students (Masters or Doctorate). Tuition will be 90€ (60€ reduced rate for students from Paris 8). To participate*, or request further information, please send an email to the organizers indicating name, status (e.g. Doctoral student, Post-doctoral researcher, Faculty) and 5 keywords describing your research interests using this link <mailto:daniel.henkel@univ-paris8.fr?subject=Summer%20Corpus%20Intensive&body=Name:%0D%0A%0D%0AStatus%2FAffiliation:%0D%0A%0D%0AKeywords:%0D%0A%0D%0AHow%2FWhere%20did%20you%20learn%20about%20the%20Paris%208%20Summer%20Corpus%20Intensive%3F:%0D%0A%0D%0AMessage:%0D%0A%0D%0A%0D%0ANB.%20Please%20leave%20the%20subject%20line%20%22Summer%20Corpus%20Intensive%22%20unchanged.%0D%0AVeuillez%20ne%20pas%20modifier%20la%20ligne%20objet%20%22Summer%20Corpus%20Intensive%22.&cc=dsg.up8@gmail.com,summer.school.paris8@gmail.com>. Please note that this is an international Summer School and that we will work with corpora in English, French and possibly other languages. Knowledge of French is thus an advantage but is not strictly necessary. /*Pending confirmation/ *** Nous avons le plaisir de vous annoncer l'ouverture prochaine du Séminaire Intensif « *Méthodes en Linguistique de Corpus--compilation, annotation et analyse quantitative* », de l'Université Paris 8 qui aura lieu du 5 au 9 juin 2023. Ce programme, d'une durée d'une semaine, comprend 30h de cours répartis de la manière suivante : --le matin, des séances consacrées à la récolte et à la préparation des données --l'après-midi, des cours dédiés à l'analyse statistique des données récoltées lors des séances du matin --plusieurs demi-journées d'entraînement à l'annotation automatique et manuelle. Les participants apprendront à : --concevoir des formules de recherche complexes dans un concordancier (p.ex. TextSTAT, AntConc) --rassembler un corpus thématique avec BootCaT --étiqueter un corpus de texte automatiquement avec TreeTagger --annoter un corpus de texte manuellement dans UAM CorpusTool --mesurer la spécificité des mots clefs et la force des collocations dans AntConc --réaliser des analyses statistiques de variables catégoriques dans R Ce programme s'adresse principalement à des enseignants-chercheurs et étudiants de deuxième ou troisième cycle (Master, Doctorat). Les frais de participation seront de 90€ (tarif réduit 60€ pour les étudiants de Paris 8). Pour y participer*, ou pour tout complément d'information, envoyez un courriel aux organisateurs indiquant votre nom, statut (p.ex. Doctorant, Post-doc, Enseignant-chercheur) et 5 mots clefs décrivant vos intérêts de recherche en cliquant ici <mailto:daniel.henkel@univ-paris8.fr?subject=Summer%20Corpus%20Intensive&body=Name:%0D%0A%0D%0AStatus%2FAffiliation:%0D%0A%0D%0AKeywords:%0D%0A%0D%0AHow%2FWhere%20did%20you%20learn%20about%20the%20Paris%208%20Summer%20Corpus%20Intensive%3F:%0D%0A%0D%0AMessage:%0D%0A%0D%0A%0D%0ANB.%20Please%20leave%20the%20subject%20line%20%22Summer%20Corpus%20Intensive%22%20unchanged.%0D%0AVeuillez%20ne%20pas%20modifier%20la%20ligne%20objet%20%22Summer%20Corpus%20Intensive%22.&cc=dsg.up8@gmail.com,summer.school.paris8@gmail.com>. /*Sous réserve de confirmation/

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Job opportunities: Two positions (research data engineer and postdoc researcher) in NLP for historical documents – 3.5 years – EPFL, Switzerland
by Maud Ehrmann 27 Feb '23

27 Feb '23

***Apologies for cross-posting*** In the context of the upcoming interdisciplinary project 'impresso - Media Monitoring of the Past II' ('impresso doppio''), the EPFL Digital Humanities Laboratory is looking for one postdoctoral researcher and one research data engineer who will work with us on the design, development and evaluation of large-scale text mining pipelines for multilingual historical newspaper and radio archives. => NLP Research Data Engineer: https://go.epfl.ch/impresso-nlp-job1 => NLP Postdoctoral Researcher: https://go.epfl.ch/impresso-nlp-job2 FOR BOTH POSITIONS: Application deadline: 21.04.2023. Interviews: End of April. Foreseen start of contract: 01.09.2023 Employment duration: 3.5 years (1-year contract renewable until the end of Feb 2027). Employment rate: 100%. Salary: according to EPFL salary scales and experience. Place of work: EPFL DHLAB, Lausanne, Switzerland. Contact: for any questions feel free to contact Maud Ehrmann (maud.ehrmann [at] epfl [dot] ch). How to apply: please upload your application (full CV and cover letter) via the EPFL portal, cf. links above. ABOUT THE PROJECT: "impresso - Media Monitoring of the Past II" is an interdisciplinary research project which aims to pioneer new approaches to the joint exploration of newspaper and radio archive contents across time, languages, and national borders. Funded by the Swiss National Science Foundation and the Luxembourg National Research Fund (2023-2027), it is carried by the EPFL DHLAB<http://dhlab.epfl.ch/>, the Department of Computational Linguistics<http://www.cl.uzh.ch/de.html> of the University of Zurich, the Centre for Contemporary and Digital History<http://c2dh.uni.lu/> (C2DH) and the History Department<https://www.unil.ch/hist/fr/home.html> of the University of Lausanne, with the additional support of 21 European partners. Computational linguists, computer scientists, digital humanists, historians, and designers will work closely together to enrich and connect newspaper and radio sources through multiple layers of cutting-edge semantic enrichments represented in a shared multilingual vector space, and to design adequate, meaningful and transparent exploration capabilities for (data-driven) historical research in transnational and transmedia perspective. Impresso doppio<https://data.snf.ch/grants/grant/213585> follows on from the first impresso<https://impresso-project.ch/> project which developed a scalable architecture for the processing of Swiss and Luxembourgish newspaper collections and created an interface<https://impresso-project.ch/app> with powerful search, filter and discovery functionalities based on semantic enrichments. The present project puts forward the vision of a complete connection between media archives across languages and media types. WE OFFER: * Opportunity to join an experienced and highly motivated interdisciplinary team conducting innovative and relevant research at the intersection of computer science and humanities research. * Applied research framework: what you will develop will be deployed in production and directly used by a community of researchers. * Work in an interdisciplinary team at the intersection of computer science, NLP, history, journalism and digital library. * Flexible working hours and teleworking. * Located in Lausanne, Switzerland, EPFL has a highly international environment, state-of-the-art research facilities, and is consistently ranked among the world's leading institutions in scientific research. Lausanne is a vibrant and cosmopolitan city centre in a unique natural environment with great outdoor activities (Jura, Alps, Lake Leman). Salaries and benefits are internationally competitive. POSITION 1: NLP Research Data Engineer: Apply online: https://go.epfl.ch/impresso-nlp-job1 Your mission: The impresso project will compile an unprecedented transmedia and transnational corpus (historical newspaper and radio collections from 8 Western European countries) and develop a technical framework for its annotation, integration and exploitation. In this endeavour, you will lead the activities related to the management and engineering of the project data and system architecture. In collaboration with other project team members, you will contribute to the design and implementation of the technical framework. Key responsibilities: * Design and implement scalable data pipelines to convert, cleanse, integrate and consolidate media archives. This includes defining appropriate data structures, models and formats for source documents and enrichments, as well as developing large-scale ingest workflows. * Establish a sustainable system architecture and pipeline management, including unit and integration testing. * Manage, document, and release code modules and datasets. * Actively collaborate with C2DH and UZH teams on data modelling, formats and APIs. * Engage in participative interface and API design with project team and partners. * Contribute to the organisation of annotation and evaluation campaigns (e.g. in the vein of HIPE<https://hipe-eval.github.io/>). * Contribute to the organisation of project workshops on the development and adoption of standards for the representation and exchange of historical data (raw material and annotations). * Contribute to the definition of a roadmap towards the long-term maintenance and expansion of a rich ecosystem of tools, resources and services around historical media. * Participate in other impresso work packages where your expertise is required and coordinate with project team members and partners. * Initiate and/or contribute to scientific publications on data releases, processing and standards (and more topics if interested). The work will be carried out in collaboration with the project team (ca. 12 people). Your profile: * An experienced research data engineer (2-4 years) or NLP researcher/programmer with an interest in history, media and participatory design. * A degree in computer science, natural language processing or a related field (master or PhD), or equivalent professional experience. * Proficiency in: Python; Unix-based operating systems; database development and use (mysql and nosql); use of cloud storage and cloud computing (S3 object storage, Kubernetes); automation and scripting. * Good understanding of machine learning. * Willingness to write good documentation. * Good communication skills. * Strong collaborative and team spirit. * Autonomous and accountable with a proactive approach. * Efficient, committed to deadlines and concerned with production readiness. * Fluency in English. * Comfortable in an international and multi-cultural context. Desirable * Experience working in a scientific and academic context. * Knowledge of French or German is a plus. * Interest in getting involved in supervising activities (MSc students). * Interest in writing scientific papers (on data and infrastructure-related topics, or more if interested). POSITION 2: NLP Postdoctoral Researcher: Apply online: https://go.epfl.ch/impresso-nlp-job2 Your mission: You will conduct research in natural language processing and text mining on historical texts, with the aim of developing powerful information extraction methods on heterogeneous, multilingual and challenging radio transcripts and newspaper archives. Key responsibilities: * Develop approaches to advanced named entity processing, quote extraction and segmentation and classification of media content. * Contribute to semantic indexing integration of media archives. * Contribute to the co-design of the interface and dedicated developments supporting the 4 historical use cases of the project. * Contribute to the organisation of international evaluation shared tasks on historical document processing. * Contribute to the organisation of project workshops on media mining, semantic indexing and processing pipelines. * Participate in other impresso work packages where your expertise is required and coordinate with project team members and partners. * Presentation of research results and participation in scientific and communication events. * Assistance with project management and organisational tasks. Your profile: * PhD (obtained or close to completion) in natural language processing, machine learning, computer science or related areas. * Strong background in machine learning foundations and willingness to apply approaches to real and large-scale data. * Experience in deep learning, language models, information extraction. * Strong programming skills (Python, deep learning frameworks) and knowledge of Unix-based operating systems . * Curious, creative and highly motivated about scientific research and the application of NLP to digitised cultural heritage collections. * Very good communication, presentation, and writing skills in English. * Comfortable in an international and multi-cultural context. Desirable * Understanding of image processing is a plus. * Experience of working with historical documents and in an interdisciplinary environment. * Knowledge of French or German is a plus. * Willingness to (co)-supervise student projects, internships and master theses. Regards, Maud Ehrmann

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Call for Papers: 7th International Workshop on Historical Document Imaging and Processing (HIP'23)
by Maud Ehrmann 27 Feb '23

27 Feb '23

***Apologies for cross-posting*** Call for Papers HIP’23 - 7th International Workshop on Historical Document Imaging and Processing Submission deadline: April 28, 2023. Submission link: https://easychair.org/conferences/?conf=hip23 Workshop: August 24, 2023. Venue: San José, California, USA. Website: https://blog.sbb.berlin/hip2023/#info > Description HIP’23 will be held in conjunction with ICDAR2023<https://icdar2023.org/>, on August 24th, 2023 in San José, USA. The workshop brings together researchers working with historical documents and intends to be complementary and synergistic to the work in analysis and recognition featured in the main sessions of ICDAR, the premier international forum for researchers and practitioners in the document analysis community. Workshop topics include (but are not limited to): * Imaging and Image Acquisition * Imaging for fragile materials * Multispectral imaging * Camera-based/non-invasive acquisition * Case studies/applications * Digital Archiving Considerations * Compression issues * Measuring essential resolution (colour, spatial) and metadata * Modelling of document image degradation * Historical Collections * Military records, personal journals, church records, medieval manuscripts, etc. * Scientific, technical and educational documents * Government archives, documents from the world cultural heritage, multi-language * Document Restoration/Improving readability * Removing or minimizing damages, defects, ink-bleed * Completing and filling in missing pieces based on context, prior knowledge * Machine-learning algorithms for enhancement based on example images * Interactive tools from a user viewpoint * Learning from user-directed image enhancement * Document Content Acquisition * Automated or semi-automated transcription (OCR, OLR) * Machine-learning algorithms for content extraction, including recurrent neural networks, auto-encoders, transformers, and unsupervised feature learning * Content recognition based on surrounding and supporting context * Annotation * Evaluation metrics and methods * Ontologies for modelling historical document content * Content-based retrieval * Family History Documents and Genealogies * Personal, Family, National and Historical Collections of Family Genealogy and Histories * Extracting and linking names, dates, places, etc. * Extracting, linking and piecing together personal and family histories and narratives * Discovering historical social networks * Automated Classification, Grouping and Hyperlinking of Historical Documents * Style identification (of printed text, dating or author identification) * Searching for documents over the internet * Web-based navigation within/among document images * Search/query, retrieval, summarization or condensation of document images * Document collecting, clustering, linking and analysis technologies * Parallel tagging of images, transcripts, and other document layers * Digital Humanities applications of document analysis and recognition * Computer Vision for Computational History * Digital methods and tools for the study of historical documents * Crowdsourcing * Natural Language Processing for Historical Documents * Lemmatization, Part-of-speech tagging, Stemming * Information extraction: named entity recognition, disambiguation and linking, reference extraction, relationship extraction * Semantic Parsing * Sentiment Analysis * Text Summarization Visit HIP past editions’ program for more information: https://blog.sbb.berlin/hip2023/#info. For work focusing on handwriting/paleography, we recommend you have a look at IWCP2023<https://www.csmc.uni-hamburg.de/iwcp2023.html>. > Submission instructions and publication: Submissions are received until April 28, 2023 (Time zone: Anywhere on Earth) via Easychair<https://easychair.org/conferences/?conf=hip23> and undergo review by the members of the Program Committee. Papers must not exceed 6 pages in length (including references). It is not required to anonymize the submission, but authors are welcome to do so if they prefer it. Acceptance notifications will be sent out June 1, 2023. Accepted camera-ready submissions should be sent by July 9, 2023 as PDF via email to kai[dot]labusch[at]sbb.spk-berlin.de for publication in the ACM Digital Library<https://dl.acm.org/> (see also the Proceedings<https://dl.acm.org/conference/hip/proceedings> of previous editions). Authors should use the current ACM SIG Conference Proceedings Template<http://www.acm.org/publications/proceedings-template/> to prepare their papers. Note that ACM has created a new LaTeX template and updated the existing Word templates. Authors also need to apply the ACM Computing Classification System<http://www.acm.org/about/class/2012> (CCS) according to the ACM SIG Conference Proceedings Template. > Important dates (Time zone: Anywhere on Earth<https://www.timeanddate.com/time/zones/aoe>): * Submission Deadline: April 28, 2023 * Acceptance Notification: June 1, 2023 * Camera Ready: July 9, 2023 * Workshop: August 24, 2023 > Program committee: https://blog.sbb.berlin/hip2023/#people > Organizers: Clemens Neudecker (General Chair) Apostolos Antonacopoulos (HIP Series Chair) Christian Clausner (Program Chair) Maud Ehrmann (Program Chair) Kai Labush (Publication Chair) Randy Wilson (Local Arrangements Chair) William Barrett (Honorary Chair)

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3-year PhD position at UNED (Spain)
by JORGE AMANDO CARRILLO DE ALBORNOZ CUADRADO 27 Feb '23

27 Feb '23

Full time PhD position The UNED IR & NLP group has an open PhD position. The successful candidate is expected to work as part of the joint research project FAIRTRANSNLP-DIAGNOSIS: Measuring and quantifying bias and fairness in NLP pipelines, together with colleagues from the Universidad de Barcelona and Universidad Politécnica de Valencia. The project focuses on developing methodologies and metrics for measuring bias, fairness and transparency in NLP systems. The detection of bias, their types and sources, is essential for developing unbiased datasets for training fair systems in NLP. Within the FAIRTRANSNLP project, the PhD candidate will work in the formalization of the detection of bias, fairness, and transparency of NLP pipelines from three different angles: (i) bias embedded in the dataset; (ii) degree of fairness in ML algorithms; and (iii) transparency techniques used in ML to achieve explainability in NLP. The candidate will also participate in the compilation and annotation of datasets. * Candidate profile * * Academic background (university degree, preferably master) in computer science or related discipline. * Knowledge of natural language processing and machine learning. * Excellent programming skills. * Ability to research and work as part of a team. * Fluent in English. * Terms and conditions * One year position with a possible extension to three years (1+2) after a positive evaluation. Salary equivalent to a FPI/FPU grant. * Application * The position is open until filled. Follow instructions in the official call: https://www2.uned.es/bici/Curso2022-2023/12212121/11-1.htm#2.-_____ Please send an email to lplaza(a)lsi.uned.es and jcalbornoz(a)lsi.uned.es for more info. * More about us * The UNED NLP & IR group is a leading group in Information Retrieval and Natural Language Processing. Our team consists of more than 30 people. https://sites.google.com/view/nlp-uned/home AVISO LEGAL. Este mensaje puede contener información reservada y confidencial. Si usted no es el destinatario no está autorizado a copiar, reproducir o distribuir este mensaje ni su contenido. Si ha recibido este mensaje por error, le rogamos que lo notifique al remitente. Le informamos de que sus datos personales, que puedan constar en este mensaje, serán tratados en calidad de responsable de tratamiento por la UNIVERSIDAD NACIONAL DE EDUCACIÓN A DISTANCIA (UNED) c/ Bravo Murillo, 38, 28015-MADRID-, con la finalidad de mantener el contacto con usted. La base jurídica que legitima este tratamiento, será su consentimiento, el interés legítimo o la necesidad para gestionar una relación contractual o similar. En cualquier momento podrá ejercer sus derechos de acceso, rectificación, supresión, oposición, limitación al tratamiento o portabilidad de los datos, ante la UNED, Departamento de Política Jurídica de Seguridad de la Información<https://www.uned.es/dpj>, o a través de la Sede electrónica<https://sede.uned.es/> de la Universidad. Para más información visite nuestra Política de Privacidad<https://descargas.uned.es/publico/pdf/Politica_privacidad_UNED.pdf>.

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2nd Call for Participation: Workshop on RESOURCEs and representations For Under-resourced Languages and domains (RESOURCEFUL-2023)
by Adam Ek 27 Feb '23

27 Feb '23

[Apologies for cross-posting] The second workshop on resources and representations for under-resourced language and domains (RESOURCEFUL-2023) explores the role of the kind and the quality of resources that are available to us and challenges and directions for constructing new resources in light of the latest trends in natural language processing. Data-driven machine-learning techniques in natural language processing have achieved remarkable performance (e.g., BERT, GPT, ChatGPT) but in order to do so large quantities of quality data (which is mostly text) is required. Interpretability studies of large language models in both text-only and multi-modal setups have revealed that even in cases where large text datasets are available, the models still do not cover all the contexts of human social activity and are prone to capturing unwanted bias where data is focused towards only some contexts. A question has also been raised whether textual data is enough to capture semantics of natural language processing and other modalities such as visual representations or a situated context of a robot might be required. Annotator-based resources have been constructed over years based on theoretical work in linguistics, psychology and related fields and a large amount of work has been done both theoretically and practically. The purpose of the workshop is to initiate a discussion between the two communities involved in building resources (data vs annotation-based) and exploring their synergies for the new challenges in natural language processing. We encourage contributions in the areas of resource creation, representation learning and interpretability in data-driven and expert-driven machine learning setups and both uni-modal and multi-modal scenarios. In particular we would like to open a forum by bringing together students, researchers, and experts to address and discuss the following questions: - What is relevant linguistic knowledge the models should capture and how can this knowledge be sampled and extracted in practice? - What kind of linguistic knowledge do we want and can capture in different contexts and tasks? - To what degree are resources that have been traditionally aimed at rule-based natural language processing approaches relevant today both for machine learning techniques and hybrid approaches? - How can they be adapted for data-driven approaches? - To what degree data-driven approaches can be used to facilitate expert-driven annotation? - What are current challenges for expert-based annotation? - How can crowd-sourcing and citizen science be used in building resources? - How can we evaluate and reduce unwanted biases? Intended participants are researchers, PhD students and practitioners from diverse backgrounds (linguistics, psychology, computational linguistics, speech, computer science, machine learning, computer vision etc). We foresee an interactive workshop with plenty of time for discussion, complemented with invited talks and presentations of on-going or completed research. This workshop is a continuation of the first workshop on resources and representations for under-resourced languages and domains held together with the SLTC 2020, https://gu-clasp.github.io/resourceful-2020/. ** Important dates: - Submission deadline for archival papers: 28th March 2023 - Submission deadline for non-archival papers: 4 April 2023 - Notification of acceptance: 25th April 2023 - Camera-ready version: 9th May 2023 - Workshop date: 22nd May 2023 All deadlines are 11:59PM UTC-12:00 ("anywhere on Earth"). ** Submission We invite submissions of long papers (8 pages), short papers (4 pages), and extended abstracts describing work in progress (2 pages). Submissions can report negative results and be opinion pieces. Both papers and extended abstracts can include any number of pages for references. All submissions must follow the NoDaLida template, available in both LaTeX and MS Word, the templates are available at the official conference website, https://www.nodalida2023.fo/authorkit-nodalida23 Submissions must be anonymous and submitted in the PDF format through OpenReview. We also invite submissions of non-archival papers related to our theme already presented or published at other venues. These can be submitted in their original formatting. They will be reviewed by the workshop organisers and the accepted ones will be posted on the workshop website. Authors may be asked to contribute peer-reviews of papers. ** Workshop organisers Dana Dannélls, Språkbanken Text, University of Gothenburg Simon Dobnik, CLASP, University of Gothenburg Adam Ek, CLASP, University of Gothenburg Stella Frank, University of Copenhagen Nikolai Ilinykh, CLASP, University of Gothenburg Beáta Megyesi, Uppsala University Felix Morger, Språkbanken Text, University of Gothenburg Joakim Nivre, RISE and Uppsala University Magnus Sahlgren, AI Sweden Sara Stymne, Uppsala University Jörg Tiedemann, University of Helsinki Lilja Øvrelid, University of Oslo --- Adam Ek PhD Student Centre for Linguistic Theories and Studies in Probability (CLASP) Department of Philosophy, Linguistics and Theory of Science University of Gothenburg adam.ek(a)gu.se

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[Fully-Funded PhD Position] in Multimodal Meeting Summarization: Deadline 27 Feb
by muskaan singh 26 Feb '23

26 Feb '23

We are inviting applications for a fully funded Ph.D. position in Multimodal Meeting Summarization at the Cognitive Analytics Research Lab (CARL) of the Intelligent Systems Research Centre from the School of Computing, Engineering, and Intelligent Systems, Ulster University. The project aims to generate automatic minutes of the meeting for multi-party dialogues using textual, audio, visual, and cognitive modalities. The position is in collaboration with Dr. Muskaan Singh, Ulster University, and Prof.Damien Coyle, Director of The Bath Institute for the Augmented Human (University of Bath) and a UKRI Turing AI Acceleration Fellow 2021-25. *The deadline is due by Monday, 27 February 2023, 4.00 PM UK time. The interviews are scheduled for 18 April with an expected starting date of 18 September.* he applicants should hold a masters (or be close to completion) or have equivalent work experience and a publication record. Solid knowledge of Machine Learning models applied to Natural Language Processing and Deep Learning is required, as is excellent programming skills in Python and deep learning frameworks (esp. Keras, TensorFlow or PyTorch). The scholarship will cover tuition fees at the Home rate and a maintenance allowance of £18,000 (TBC) per annum for three years (subject to satisfactory academic performance). This scholarship also comes with £900 per annum for three years as a research training support grant (RTSG) allocation to help support the Ph.D. researcher. For more information and application, please visit, https://www.ulster.ac.uk/doctoralcollege/find-a-phd/1455768 Please feel free to get in touch with any queries. *Dr. Muskaan Singh* Lecturer (~Assistant Professor) in Data Analytics Cognitive Analytics Research Lab (CARL), Intelligent Systems Research Centre School of Computing, Engineering and Intelligent Systems *Room MS138 | Magee Campus | Londonderry | BT48 7JL * *E:* m.singh(a)ulster.ac.uk *W:* https://pure.ulster.ac.uk/en/persons/muskaan-singh

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2024

2023

2022

Corpora February 2023