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Auto-Re: Manuscripts of Anne Frank available online
by e-mail＠jan-oliver-ruediger.de 29 Sep '21

29 Sep '21

Liebe*r Absender*in, haben Sie vielen Dank für Ihre E-Mail. Ich bin derzeit im Urlaub und ab dem 04.10.2021 wieder für Sie erreichbar. Ihre Mail wird aus Vertraulichkeitsgründen nicht weitergeleitet. Wenden Sie sich in dringenden Fällen bitte an meinen Kollegen Frank Michaelis: michaelis(a)ids-mannheim.de Viele Grüße Jan Oliver Rüdiger -- --- -- Jan Oliver Rüdiger (Zimmer: 4.11) Leibniz-Institut für Deutsche Sprache www.ids-mannheim.de R 5, 6-13 D - 68161 Mannheim Tel.: +49 621 / 1581 – 411 Fax: +49 621 / 1581 – 200 Mobil: +49 162 / 78 05 676 E-Mail / ZOOM: ruediger(a)ids-mannheim.de PGP-Fingerprint: 9553 B893 49A6 48A1 E812 8F37 87C7 1B33 DB6A E92B

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Manuscripts of Anne Frank available online
by Peter Boot 29 Sep '21

29 Sep '21

Dear Colleagues, Now available online: a digital edition of Anne Frank's Diary and all her other manuscripts, at https://annefrankmanuscripten.org/. The present edition is in Dutch. A translation into English will follow in about a year's time. The edition was built using TEI-XML. Unfortunately, the edition is only accessible in countries where Anne Frank's texts are in the public domain. These include, to name a few, Belgium, Brazil, Germany, Israel and Japan. The edition is not available in other countries, such as the UK, the USA and the Netherlands. A YouTube video (in Dutch, but YouTube can generate subtitles in your language) that explains the edition is available here: https://www.youtube.com/watch?v=wawNHUaMM5c For the full press release, see https://en.huygens.knaw.nl/anne-franks-digitised-manuscripts-available-in-t…. All best, Peter Boot Peter Boot (peter.boot(a)huygens.knaw.nl<mailto:[email protected]>) Senior researcher Huygens Institute for the History of the Netherlands (Royal Netherlands Academy of Arts and Sciences) http://www.huygens.knaw.nl/boot/ http://peterboot.nl/ Tel.: +31 20 2246825 Now working from home.

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PhD/Postdoc Position in Comp. Ling. at Tuebingen University
by Thorsten Trippel 27 Sep '21

27 Sep '21

The Division of General and Computational Linguistics in the Department of Linguistics at the University of Tübingen, Germany is searching for a Computational Linguist with a specialization in any subarea of computational linguistics. Duties for this post include teaching one course in computational linguistics per semester (with English as the language of instruction), independent research, and participation in externally-funded, on-going research projects. Further information about the department can be found at https://uni-tuebingen.de/en/133894 The starting date for the position is January 1, 2022. The period of appointment is for three years. The position is at the rank of "Wissenschaftlicher Mitarbeiter" (qualification: Ph.D. preferred; M.Sc., M.A. or equivalent required). Salary will be according to the German Salary System TV-L 13, 100 %. Applications should include CV, an outline of research experience/interests, as well as contact data of at least two references. Applications should be sent by November 1, 2021 to: acl-jobs(a)sfs.uni-tuebingen.de The University of Tübingen wishes to increase the proportion of women in research and teaching. Individuals with disabilities are strongly encouraged to apply and will be given preferential consideration when their qualifications are equivalent to those of other applicants.

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Call for Contributions ESWC 2022
by Kruit, B.B. 24 Sep '21

24 Sep '21

Call for Contributions ESWC 2022 ESWC is a key academic conference for research results and new developments in the area of the Semantic Web and Knowledge Graphs. ESWC2022 marks the 19th edition, which will take place from 29 May to 2 June 2022, in Heraklion, Greece. ESWC2022 features three main tracks: - the Research Track for novel research contributions https://2022.eswc-conferences.org/call-for-papers-research-track - the In-Use Track for applications of focus technologies in practice https://2022.eswc-conferences.org/call-for-papers-in-use-track/ - the Resources Track for data and software supporting the community https://2022.eswc-conferences.org/call-for-papers-resources-track/ Deadlines for these tracks - 2 December 2021: abstract submission - 9 December 2021: full submission All deadlines are 23:59 anywhere on earth (UTC-12). For more details check out: https://2022.eswc-conferences.org/call-for-contributions/ Program Chairs Maria-Esther Vidal, Leibiz University of Hannover and TIB-Leibniz Centre for Science and Technology, Germany Fabian Suchanek, Institut Polytechnique de Paris, France Pedro Szekley, USC Information Sciences Institute, USA Pavan Kapanipathi, IBM Research AI, USA Catia Pesquita, LASIGE, Faculdade de Ciências, Universidade de Lisboa, Portugal Hala Skaf-Molli, Nantes University, France

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Author information event: computational analysis skills for humanities data | Thu, 23 September 2021 14:00 – 16:00 BST
by Anna-Maria Sichani 21 Sep '21

21 Sep '21

Apologies for the omission: the event will take place this *Thursday, 23 September 2021 14:00 – 16:00 BST* Feel free to register if you are interested. Please join us , if you are interested , and circulate widely ! > > ---- > > The National Archives, Jisc and the Programming Historian (a publisher of > multilingual tutorials that support humanists in learning digital tools and > methods) have formed a partnership that aims to publish a series of > articles to aid humanities researchers wishing to use digital tools and > methods in their analysis of large-scale digital collections. > > A call for papers <https://programminghistorian.org/posts/cfp-jisc-ph> is > currently open, inviting prospective authors to submit proposals for > article-length tutorials on the computational analysis of large-scale > digital collections. Register for this online event, and learn more about > the Programming Historian in general, and about the call for papers in > particular. There will be an opportunity to ask questions about the call in > the second part of the event. > > The event is free, but requires registration > <https://www.eventbrite.co.uk/e/author-information-event-computational-analy…> > . > > PROGRAMME (provisional) > > 2pm: Welcome > > 2.05pm : The Programming Historian : an introduction > > 2.25pm : Why I value the Programming Historian (Quinn Dombrowski) > > 2.40pm : The call for papers > > 3.10pm : Getting started with large Twitter datasets (Max Odsbjerg > Pedersen and Helle Strandgaard Jensen) > > 3.20pm : Questions and answers > > 3.45pm : Close. > > (The event timings are in UK time, ie. UTC/GMT +1. See times for other > time zones > <https://www.timeanddate.com/worldclock/fixedtime.html?iso=20210923T1300> > .) > > Quinn Dombrowski is the Academic Technology Specialist in the Division of > Literatures, Cultures, and Languages, and in the Library, at Stanford > University. > > Helle Strandgaard Jensen is Associate Professor of Contemporary Cultural > History, Department of History and Classical Studies, Aarhus University. > > Max Odsbjerg Pedersen is Information Specialist, Aarhus University Library > and the Danish Royal Library > -- > > *Dr. Anna-Maria Sichani* > *Post Doc Research Fellow in Media History & Historical Data Modeling * > *School of Media, Arts and Humanities | Sussex Humanities Lab* > *University of Sussex* > > *Editor, The Programming Historian* > *Director, ProgHist Ltd. | **ProgHist Ltd is a Not for Profit Company > Limited by Guarantee, Registered in England, Company Number 12192946* *programminghistorian.org/ > <http://programminghistorian.org/>* > @amsichani <https://twitter.com/amsichani> > amsichani.github.io > > *Please consider the environment before printing this e-mail* > >

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Author information event: computational analysis skills for humanities data
by Anna-Maria Sichani 21 Sep '21

21 Sep '21

Please join us , if you are interested , and circulate widely ! ---- The National Archives, Jisc and the Programming Historian (a publisher of multilingual tutorials that support humanists in learning digital tools and methods) have formed a partnership that aims to publish a series of articles to aid humanities researchers wishing to use digital tools and methods in their analysis of large-scale digital collections. A call for papers <https://programminghistorian.org/posts/cfp-jisc-ph> is currently open, inviting prospective authors to submit proposals for article-length tutorials on the computational analysis of large-scale digital collections. Register for this online event, and learn more about the Programming Historian in general, and about the call for papers in particular. There will be an opportunity to ask questions about the call in the second part of the event. The event is free, but requires registration <https://www.eventbrite.co.uk/e/author-information-event-computational-analy…> . PROGRAMME (provisional) 2pm: Welcome 2.05pm : The Programming Historian : an introduction 2.25pm : Why I value the Programming Historian (Quinn Dombrowski) 2.40pm : The call for papers 3.10pm : Getting started with large Twitter datasets (Max Odsbjerg Pedersen and Helle Strandgaard Jensen) 3.20pm : Questions and answers 3.45pm : Close. (The event timings are in UK time, ie. UTC/GMT +1. See times for other time zones <https://www.timeanddate.com/worldclock/fixedtime.html?iso=20210923T1300>.) Quinn Dombrowski is the Academic Technology Specialist in the Division of Literatures, Cultures, and Languages, and in the Library, at Stanford University. Helle Strandgaard Jensen is Associate Professor of Contemporary Cultural History, Department of History and Classical Studies, Aarhus University. Max Odsbjerg Pedersen is Information Specialist, Aarhus University Library and the Danish Royal Library -- *Dr. Anna-Maria Sichani* *Post Doc Research Fellow in Media History & Historical Data Modeling * *School of Media, Arts and Humanities | Sussex Humanities Lab* *University of Sussex* *Editor, The Programming Historian* *Director, ProgHist Ltd. | **ProgHist Ltd is a Not for Profit Company Limited by Guarantee, Registered in England, Company Number 12192946* *programminghistorian.org/ <http://programminghistorian.org/>* @amsichani <https://twitter.com/amsichani> amsichani.github.io *Please consider the environment before printing this e-mail*

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PhD position (or Postdoc) in Computational Literary Studies at University of Stuttgart
by Jonas Kuhn 20 Sep '21

20 Sep '21

The Institute for Natural Language Processing (IMS) at University of Stuttgart has an opening for a doctoral researcher (or a postdoc) in the context of project CAUTION [1] to work on the operationalization of concepts from the field of narratology and on tools for computer-aided analysis of a corpus of literary texts. CAUTION is a collaboration between literary studies and computational linguistics, headed by Janina Jacke (University of Göttingen) and Jonas Kuhn (University of Stuttgart) [2], which addresses the phenomenon of unreliable narration in fiction. The project aims to advance the representational means for capturing this phenomenon, to devise a framework for intersubjectively stable annotation in texts, and to develop computational tools for automatically detecting signals for unreliable narration in a corpus. The project is funded by DFG (the German Research Foundation) and is associated with the Priority Programme SPP 2207 Computational Literary Studies. The successful candidate will work (i) on the detection of text properties signaling unreliable narration using data-driven techniques from natural language processing (NLP) and (ii) on capturing systematically what reasoning leads a reader to consider the narrator of a story to be unreliable, using a symbolic knowledge representation & reasoning framework. Specifically, the project explores how the interaction between story-internal knowledge and background knowledge from various sources can be formalized in a belief-desire-intention model for intelligent agents and how such a formalization can be integrated with the practice of text annotation. An important element of the project will be a close exchange between theoretical research in literary studies and research on algorithmic modeling techniques. The candidate must have a Master's degree in computational linguistics, computer science, digital humanities, or similar. Familiarity with the data-driven modeling paradigm in current NLP research, programming skills and experience in running and evaluating corpus-based modeling experiments are a prerequisite. A reading knowledge of German is desirable, since we work on a corpus of German texts. Some background in digital humanities on the one hand, and in knowledge representation & reasoning, declarative programming (e.g. Prolog) and/or multi-agent systems on the other hand would be a plus. IMS Stuttgart offers an inspiring environment for interdisciplinary work on algorithmic text analysis in a range of research contexts; several groups work on digital humanities and computational social science projects. The position will be available for three years, starting in November 2021. All applications received until October 5, 2021 will receive full consideration, but the position will remain open until filled. Do not hesitate to get in touch when you find this opening after October 5. The salary for a doctoral researcher working on the CAUTION project is according to the German university payscale (TV-L 13 65%, see [3] for details). By contributing to teaching at the department, the 65% contract can be increased to 100% TV-L 13, which can make the project position attractive to postdoctoral researchers with the relevant qualifications. To apply, please send a CV and letter of motivation in a single PDF document to Jonas Kuhn, jonas.kuhn at ims.uni-stuttgart.de <http://ims.uni-stuttgart.de/>. Please include names of 2-3 individuals willing to write a letter of recommendation. For inquiries regarding the position, please also contact Jonas Kuhn. The University of Stuttgart aims at increasing the number of women in academia. Therefore, women are particularly encouraged to apply. Applications of severely disabled candidates with equivalent qualifications will be given priority. Information according to article 13 of the General Data Protection Regulation (GDPR) for job application processes at University of Stuttgart can be found here: https://www.zendas.de/zendas/informationen_bewerbung.html <https://www.zendas.de/zendas/informationen_bewerbung.html> and https://www.uni-stuttgart.de/en/privacy-notice/job-application/ <https://www.uni-stuttgart.de/en/privacy-notice/job-application/>. [1] https://dfg-spp-cls.github.io/projects_en/2020/01/24/TP-Caution/ <https://dfg-spp-cls.github.io/projects_en/2020/01/24/TP-Caution/> [2] https://www.ims.uni-stuttgart.de/institut/arbeitsgruppen/gcl <https://www.ims.uni-stuttgart.de/institut/arbeitsgruppen/gcl> [3] https://oeffentlicher-dienst.info/c/t/rechner/tv-l/west?id=tv-l-2021 <https://oeffentlicher-dienst.info/c/t/rechner/tv-l/west?id=tv-l-2021>

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Community Open Principles: Before, During and After the Global Pandemic (Jun 30, 2021)
by Francesca Giovannetti 21 Jun '21

21 Jun '21

The Force11 Working Group Reimagining Educational Practices for Open (REPO) will be hosting its second webinar on Jun 30, 2021 at 13:00 UTC <https://www.timeanddate.com/worldclock/meetingdetails.html?year=2021&month=…> . *Community Open Principles: Before, During and After the Global Pandemic* Dr. Ana Persic, UNESCO, Dr. Arianna Becerril García, AmeliCA, Dr. Johanna Havemann, Open Science MOOC, Osman Aldirdiri, AfricArXiv When we talk about Open (Open Science, Open Data, Open Access) what do we mean? How can we navigate the different definitions of what it means to be a community and to be Open? How do we engage with communities and train members around Open? What evidence are we using of how we are addressing Open? How can we be more inclusive and align our Open principles to foster norms, incentives, and recognition? Have our understandings around Open shifted during the pandemic? This online webinar will address these questions via the experiences of invited open science communities, how they have designed and applied their open (science) principles before and during the pandemic, particularly with regard to outreach and training, while also looking out at the horizon, at a future beyond the pandemic. The webinar aims to include open (science) perspectives from a diverse group of communities, learn from their approaches, how they have evolved, and identify possible next steps that all, in our global community can consider. Register now <https://us02web.zoom.us/webinar/register/WN_dvUoVNkvR42UTVrswfwpYQ>

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Second Call for Papers: The 5th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature
by Nils Reiter 11 Jun '21

11 Jun '21

LaTeCH-CLfL 2021: The 5th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature to be held on-line on 11 November 2021 in conjunction with EMNLP 2021 https://sighum.wordpress.com/events/latech-clfl-2021/ Second Call for Papers (with apologies for cross-posting) Organisers: Stefania Degaetano-Ortlieb, Anna Kazantseva, Nils Reiter, Stan Szpakowicz LaTeCH-CLfL 2021 is the fifth in a series of meetings for NLP researchers who work with data from the broadly understood arts, humanities and social sciences, and for specialists in those disciplines who apply NLP techniques in their work. The workshop continues a long tradition of annual meetings. The SIGHUM Workshops on Language Technology for Cultural Heritage, Social Sciences, and Humanities (LaTeCH) ran from 2007 to 2016. The ACL Workshops on Computational Linguistics for Literature (CLfL) took place from 2012 to 2016. The first four joint workshops (LaTeCH-CLfL) were held from 2017 to 2020. Topics and Content In the Humanities, Social Sciences, Cultural Heritage and literary communities, there is increasing interest in, and demand for, NLP methods for semantic and structural annotation, intelligent linking, discovery, querying, cleaning and visualization of both primary and secondary data. This is even true of primarily non-textual collections, given that text is also the pervasive medium for metadata. Such applications pose new challenges for NLP research: noisy, non-standard textual or multi-modal input, historical languages, vague research concepts, multilingual parts within one document, and so no. Digital resources often have insufficient coverage; resource-intensive methods require (semi-)automatic processing tools and domain adaptation, or intense manual effort (e.g., annotation). Literary texts bring their own problems, because navigating this form of creative expression requires more than the typical information-seeking tools. Examples of advanced tasks include the study of literature of a certain period, author or sub-genre, recognition of certain literary devices, or quantitative analysis of poetry. NLP methods applied in this context not only need to achieve high performance, but are often applied as a first step in research or scholarly workflow. That is why it is crucial to interpret model results properly; model interpretability might be more important than raw performance scores, depending on the context. More generally, there is a growing interest in computational models whose results can be used or interpreted in meaningful ways. It is, therefore, of mutual benefit that NLP experts, data specialists and Digital Humanities researchers who work in and across their domains get involved in the Computational Linguistics community and present their fundamental or applied research results. It has already been demonstrated how cross-disciplinary exchange not only supports work in the Humanities, Social Sciences, and Cultural Heritage communities but also promotes work in the Computational Linguistics community to build richer and more effective tools and models. Topics of interest include, but are not limited to, the following: • adaptation of NLP tools to Cultural Heritage, Social Sciences, Humanities and literature; • automatic error detection and cleaning of textual data; • complex annotation schemas, tools and interfaces; • creation (fully- or semi-automatic) of semantic resources; • creation and analysis of social networks of literary characters; • discourse and narrative analysis/modelling, notably in literature; • emotion analysis for the humanities and for literature; • generation of literary narrative, dialogue or poetry; • identification and analysis of literary genres; • linking and retrieving information from different sources, media, and domains; • modelling dialogue literary style for generation; • modelling of information and knowledge in the Humanities, Social Sciences, and Cultural Heritage; • profiling and authorship attribution; • search for scientific and/or scholarly literature; • work with linguistic variation and non-standard or historical use of language. Information for Authors We invite papers on original, unpublished work in the topic areas of the workshop. In addition to long papers, we will consider short papers and system descriptions (demos). We also welcome position papers. • Long papers, presenting completed work, may consist of up to eight (8) pages of content plus additional pages of references; final camera-ready versions of accepted long papers will be given one additional page of content (up to 9 pages) so that reviewers’ comments can be taken into account. • A short paper / demo can present work in progress, or the description of a system, and may consist of up to four (4) pages of content plus additional pages of references. Upon acceptance, short papers will be given five (5) content pages in the proceedings. • A position paper — clearly marked as such — should not exceed six (6) pages including references. All submissions are to use the EMNLP stylesheets (for LaTeX / Overleaf and MS Word), to be announced soon at https://2021.emnlp.org/call-for-papers/. Papers should be submitted electronically, in PDF, via the LaTeCH-CLfL2021 submission website at https://www.softconf.com/emnlp2021/LaTeCHCLfL/. Reviewing will be double-blind. Please do not include the authors’ names and affiliations, or any references to Web sites, project names, acknowledgements and so on — anything that immediately reveals the authors’ identity. Self-references should be kept to a reasonable minimum, and anonymous citations cannot be used. Please see https://2021.emnlp.org/call-for-papers/#anonymity-period for the official EMNLP policy (except that our anonymity period starts later). Accepted papers will be published in the workshop proceedings, and later available in the ACL Anthology. Important Dates Anonymity period begins on July 1, 2021. Paper submission deadline: August 5, 2021 Notification of acceptance: September 5, 2021 Camera-ready papers due: September 15, 2021 Workshop date: December 11, 2021 More on the organisers Stefania Degaetano-Ortlieb, Language Science and Technology, Saarland University Anna Kazantseva, National Research Council of Canada Nils Reiter, Department for Digital Humanities, University of Cologne Stan Szpakowicz, School of Electrical Engineering and Computer Science, University of Ottawa Contact latech-clfl(a)googlegroups.com

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CfP for DHd 2022 (Potsdam, Germany)
by Francesca Giovannetti 09 Jun '21

09 Jun '21

### Apologies for Cross posting ### Dear all, We would like to inform you that submissions are welcome for *DHd 2022*, 7.- 11.03.2022, at *Potsdam*, Germany. DHd 2022 "Kulturen des digitalen Gedächtnisses" is the annual conference of the Verband Digital Humanities im deutschsprachigen Raum, an associative member of the European Association of Digital Humanities (EADH). Check out the website (https://www.dhd2022.de) for the Call for Papers (in German) and details about the submission procedure. Please notice that the deadline is 15.07.2021. You can also follow us on Twitter @dhd2022! Looking forward to welcome you at Potsdam, Ulrike Wuttke on behalf of the Local Organisers of DHd 2022 Dr Ulrike Wuttke Vertretungsprofessorin für Bibliotheks- und Informationstechnologien und Digitale Services | Interim professor for Library and Information Technologies and Digital Services & Internationalisierungsbeauftragte des FB5 *Aktuell ausschließlich über E-Mail erreichbar | Currently only available via e-mail.* E-Mail: ulrike.wuttke(a)fh.potsdam.de Phone: +49 331 580-4533 Twitter: UWuttke | Skype: ulrike.wuttke ORCiD: https://orcid.org/0000-0002-8217-4025 FH Potsdam | University of Applied Sciences Potsdam Fachbereich Informationswissenschaft | Department of Information Science Kiepenheuerallee 5 | 14469 Potsdam http://www.fh-potsdam.de/ https://ulrikewuttke.wordpress.com/ Please consider the environment before printing this e-mail.

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