- Corpora - ELRA lists

Third Call for Participation- IWSLT 2023
by Atul K. Ojha 10 Feb '23

10 Feb '23

Apologies for cross-posting. ---------------------------------------- *The International Conference on Spoken Language Translation* ACL – 20th IWSLT 2023 July 13-14, 2023 – Toronto, Canada http://iwslt.org The International Conference on Spoken Language Translation (IWSLT) is the premier annual conference for all aspects of Spoken Language Translation. Every year, the conference organizes and sponsors open evaluation campaigns around key challenges in simultaneous and consecutive translation, under real-time/low latency or offline conditions and under low-resource or multilingual constraints. System descriptions and results from participants’ systems and scientific papers related to key algorithmic advances and best practices are presented. IWSLT is the venue of the SIGSLTs, the Special Interest Group on Spoken Language Translation of ACL, ISCA and ELRA. With a track record of 19 years, IWSLT benchmarks and proceedings serve as references for all researchers and practitioners working on speech translation and related fields. In 2023, IWSLT will be co-located with ACL and will be run as a hybrid meeting. Important Dates January 14, 2023: Release of shared task training and dev data April 24, 2023: Scientific paper submission (all papers) April 01-15, 2023: Evaluation period April 30, 2023: System papers submission May 22, 2023: Notification of acceptance May 31, 2023: Camera-ready paper due July 12, 2023: Pre-recorded video due July 13-14, 2023: Conference Evaluation IWSLT 2023 features shared tasks <https://iwslt.org/2023/#shared-tasks> that address the following focus areas: - Speech translation of talks - Speech-to-speech translation of multi-source data - Speech dubbing of multi-source data - Dialectal and Low-resource speech translation - Formality control for SLT Registration <https://docs.google.com/forms/d/e/1FAIpQLSewDMutBgat38bIvgNwiHBWrJ6NJ7T33XI…> for the evaluation is now open and training and development data for each shared task are available through the website. The results of all tasks will be collected and discussed in an overview paper that will be presented at the conference. In addition, participants have the opportunity to present their work through a system paper that will be published in the ACL Proceedings. Conference IWSLT also invites submissions of scientific papers to be published in the ACL Proceedings and presented either in oral or poster format. The conference selects high-quality, original contributions on theoretical and practical issues of spoken language translation research, technologies and applications. Please submit scientific papers and system papers through the *submission portal <https://softconf.com/acl2023/iwslt2023/>*. Contact Please send an email to iwslt-evaluation-campaign(a)googlegroups.com if you have any questions related to the shared tasks. Thanks, Marcello, Alex, Jan, Sebastian, Elizabeth, Atul (IWSLT organisers)

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Call for Participation - Workshop on Language-Based AI Agent Interaction with Children (Registration now open)
by Maike Paetzel-Prüsmann 09 Feb '23

09 Feb '23

Workshop on Language-Based AI Agent Interaction with Children https://aichildinteraction.github.io/ February 21st, 2023, in Los Angeles, USA & Virtual (Hybrid Format) Registration: https://sites.google.com/view/iwsds2023/registration Virtual participation is free! Program: https://aichildinteraction.github.io/#schedule Contact: https://groups.google.com/g/ai-child-interactions or aichildinteraction(a)gmail.com =================================================== In this workshop, we aim to bring together researchers looking into multimodal interactions between children and artificial agents to discuss research problems that center around interactivity and go beyond just processing child speech. The first part of the workshop will be concerned with conversational agents for child learning with four short presentations followed by a roundtable discussion. After a coffee break, the workshop will then focus on collecting data and practical and ethical considerations when building datasets involving children. We invite all researchers interested in AI-Child Interaction independent of their background and their previous experience with speech-based interaction to participate in the workshop. ## Accepted Papers A list of accepted papers can be found here: https://aichildinteraction.github.io/#submission A link to the PDF version of the papers will be added a week before the workshop and will remain on the website available to everyone even after the workshop has concluded ## Schedule An overview of the schedule is available on our website (all times are PST - UTC-8): https://aichildinteraction.github.io/#schedule In addition to two keynote presentations, the first by Prof. Khiet Truong, University of Twente, Netherlands, and the second by Prof. Shrikanth Narayanan, University of Southern California, USA, and seven short paper presentations, we will host two roundtable discussion sessions. These are interactive sessions in which we can dive deeper into the topics covered by our speakers and we welcome all participants to contribute with questions and statements. ## Registration If you would like to attend our workshop, please register using the IWSDS registration website: https://sites.google.com/view/iwsds2023/registration There are three types of registration: (i) If you are already registered for the IWSDS main conference (in-person or virtual), then your workshop participation is already covered. There is no need for any extra registration. (ii) If you would like to attend the workshop in person without registering for the main conference, please choose "In-Person Workshop Only" non-student (100 USD) or student (50 USD) options towards the end of the registration form. (iii) Virtual registration is completely free of charge! Please use the same link and select the "Virtual Workshop Only - Non-students and students" option. We will send registered participants information about in-person and virtual participation as well as the Link to the Zoom Webinar the day before the workshop. ## Contact If you have questions, please get in touch via our public Google Group https://groups.google.com/g/ai-child-interactions or by sending an e-mail to aichildinteraction(a)gmail.com

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[CfP] TermTrends - Terminology in the Era of Linguistic Data Science Workshop @ LDK2023
by Patricia Martín Chozas 09 Feb '23

09 Feb '23

* Apologies for cross-posting * *Call for papers for the TermTrends Workshop at LDK Conference 2023* *12-15 September, Vienna, Austria* TermTrends 2023 <https://termtrends.linkeddata.es/> – Terminology in the Era of Linguistic Data Science – will be co-located with LDK 2023 <http://2023.ldk-conf.org/> at the University of Vienna, Austria, on September 13, 2023 This half-day workshop, initiated within the COST Action NexusLinguarum – European network for Web-centred Linguistic Data Science (CA 18209) <https://nexuslinguarum.eu/>, aims to provide a discussion forum regarding the theoretical and methodological approaches that have characterised Terminology in recent years, especially its central role in the organisation and sharing of specialised knowledge, both at a conceptual and linguistic level. In particular, we would like to focus on its connection to the Linguistic Linked (Open) Data (LLOD) paradigm and to Semantic Web formats and technologies through the use of ontologies, thereby promoting the creation of interoperable terminological resources. In addition, the workshop intends to explore the advantages and challenges underlying various Terminology-related standardisation approaches, ranging from the initially proposed standards to represent terminology within the International Standardisation Organisation (ISO), to models that represent linguistic data in the Semantic Web, including emerging vocabularies still under development. Moreover, Terminology is currently benefiting from neural network approaches and architectures, and new methods are being proposed to enhance both term extraction and terminology enrichment tasks. We also aim to address novel ways to represent terminological knowledge, especially in multiple domains and applications, such as Digital Humanities, e-lexicography, or Life Sciences. *Call for Papers* This cross-domain workshop strongly encourages, therefore, contributions focusing on the interrelation between Terminology and Linked Data. The main topics include, but are not limited to: - Definitions in Terminology - Terminology and Information Retrieval - Terminology and Information Science - Terminology and Knowledge Organisation - Terminology and Lexicography - Lexical and conceptual relations - Terminological Resource modelling and conversion to Linked Data - Terminology and Linguistic Linked (Open) Data - Terminology and Natural Language Processing and AI - Terminology and Ontologies - Terminology and the Semantic Web - Terminology Models and Standards - Term formation, neoterms - Terminology extraction (terms, relations, definitions) - Terminology validation - Text mining - Application of Terminological Resources in Language Model-driven Tasks *Submissions* Please submit your paper here <https://openreview.net/group?id=LDK/2023/Workshop/TermTrends>. Accepted proposals will be invited to submit a full (short or long) paper to be included in the LDK 2023 Proceedings. Templates and author instructions are available here <https://github.com/acl-org/acl-style-files> . *Important Dates* - *19 May 2023* - Deadline for paper submission - *16 June 2023* - Deadline for notification for paper submission - *30 June 2023* - Deadline for camera-ready paper submission - *13 September 2023* - TermTrends Workshop More info on the TermTrends website: https://termtrends.linkeddata.es/ Best wishes, Rute, Elena, Sara and Patricia -------------------------------------------- *Patricia Martín Chozas - Predoctoral Researcher* * Ontology Engineering Group* Artificial Intelligence Department ETSI Informáticos - Universidad Politécnica de Madrid Phone: (+34) 910673091

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PhD student position: NLP and causal inference
by Richard Johansson 09 Feb '23

09 Feb '23

The Department of Computer Science and Engineering at Chalmers University of Technology (Sweden) is looking for a PhD student in NLP for a project on text-based causal inference with applications in the social sciences. The project will be run jointly by Chalmers and the Institute for Analytical Sociology (at Linköping, Sweden). To apply, please follow the instructions in the application portal: https://web103.reachmee.com/ext/I003/304/job?site=5&lang=UK&validator=a72ae… The application deadline is February 28. For any questions about the position, please get in touch with Richard Johansson (richard.johansson(a)gu.se). Best regards, Richard Johansson

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4-year postdoctoral fellowship, University of Oslo
by Lilja Øvrelid 09 Feb '23

09 Feb '23

A position as Postdoctoral Research Fellow is available in the Language Technology Group (LTG) of the Department of Informatics (IFI), University of Oslo. The fellowship period is for a period of four (4) years. 25% of the position will be dedicated to teaching activities. For more information, please see the full announcement here: https://www.jobbnorge.no/en/available-jobs/job/237075/postdoctoral-research… The closing date is February 15th, 2023. Please do not hesitate to contact me for any further information. Best regards, Lilja Lilja Øvrelid Language Technology Group Section for Machine Learning Department of Informatics, University of Oslo

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[CfP Deadline Extension] TOIS Efficiency in Neural Information Retrieval
by Maria Maistro 09 Feb '23

09 Feb '23

Third Call for Papers - ACM Transactions on Information Systems Special Section on Efficiency in Neural Information Retrieval Full Call of Papers: https://dl.acm.org/journal/tois/calls-for-papers Overview 🧐 -------------------------- The aim of this Special Section is to engage with researchers in Information Retrieval, Natural Language Processing, and related areas and gather insight into the core challenges in measuring, reporting, and optimizing all facets of efficiency in Neural Information Retrieval (NIR) systems, including time-, space-, resource-, sample- and energy- efficiency, among other factors. This special section solicits perspectives from active researchers to advance our understanding of and to overcome efficiency challenges in NIR. In particular, researchers are encouraged to examine the ever-growing model complexity through appropriate empirical analysis, to propose models that require less data, computational resources, and energy for training and fine-tuning with similarly efficient inference, to ask if there are meaningful simplifications of the existing training processes or model architectures that lead to comparable quality, and explore a multi-faceted evaluation of NIR models from quality to all dimensions of efficiency with standardized metrics. Topics 🔍 -------------------------- We welcome submissions on the following topics, including but not limited to: * Novel NIR models that reach competitive quality but are designed to provide efficient training or inference; * Efficient NIR models for decentralized IR tasks such as conversational search; * Efficient NIR models for IR-related tasks such as question answering and recommender systems; * Efficient NIR for resource-constrained devices; * Scalability of NIR systems; * Efficient NIR for text and cross-modal search; * Strategies to optimize training or inference of existing NIR models; * Sample-efficient training of NIR models; * Efficiency-driven distillation, pruning, quantization, retraining, and transfer learning; * Empirical investigation of the complexity of existing NIR models through an analysis of quality, interpretability, robustness, and environmental impact; * Evaluation protocols for efficiency in NIR. Important Dates 🔥 -------------------------- * Open for Submissions: Aug 1, 2022 * Submissions deadline: Feb 28, 2023 * First-round review decisions: May 31, 2023 * Deadline for minor revision submissions: Jun 30, 2023 * Deadline for major revision submissions: Aug 31, 2023 * Notification of final decisions: Sept 30, 2023 * Tentative publication: 2024 Guest Editors 📚 -------------------------- * Dr. Sebastian Bruch, Pinecone, United States of America * Prof. Claudio Lucchese, Ca' Foscari University of Venice, Italy * Dr. Maria Maistro, University of Copenhagen, Denmark * Dr. Franco Maria Nardini, ISTI-CNR, Italy ——— Maria Maistro, PhD Tenure-track Assistant Professor Department of Computer Science University of Copenhagen Universitetsparken 5, 2100 Copenhagen, Denmark

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Deadline extension: 19th Workshop on Multiword Expressions (MWE 2023)
by Kilian Evang 09 Feb '23

09 Feb '23

[Apologies for cross-postings] ******************************************************************************** Call for Papers: Deadline extended 19th Workshop on Multiword Expressions (MWE 2023) Organized and sponsored by SIGLEX, the Special Interest Group on the Lexicon of the ACL Full-day workshop collocated with EACL 2023, Dubrovnik, Croatia, May 5 or 6, 2023 Hybrid (on-site & on-line) NEW: Submission deadline: February 20, 2023 NEW: Invited speakers announced (see below) NEW: Best paper award (see below) MWE 2023 website: https://multiword.org/mwe2023/ ******************************************************************************** Multiword expressions (MWEs) are word combinations that exhibit lexical, syntactic, semantic, pragmatic, and/or statistical idiosyncrasies (Baldwin & Kim 2010), such as by and large, hot dog, pay a visit and pull one's leg. The notion encompasses closely related phenomena: idioms, compounds, light-verb constructions, phrasal verbs, rhetorical figures, collocations, institutionalised phrases, etc. Their behaviour is often unpredictable; for example, their meaning often does not result from the direct combination of the meanings of their parts. Given their irregular nature, MWEs often pose complex problems in linguistic modelling (e.g. annotation), NLP tasks (e.g. parsing), and end-user applications (e.g. natural language understanding and MT), hence still representing an open issue for computational linguistics (Constant et al. 2017). For almost two decades, modelling and processing MWEs for NLP has been the topic of the MWE workshop organised by the MWE section of SIGLEX in conjunction with major NLP conferences since 2003. Impressive progress has been made in the field, but our understanding of MWEs still requires much research considering their need and usefulness in NLP applications. This is also relevant to domain-specific NLP pipelines that need to tackle terminologies most often realised as MWEs. Following previous years, for this 19th edition of the workshop, we identified the following topics on which contributions are particularly encouraged: MWE processing and identification in specialized languages and domains: Multiword terminology extraction from domain-specific corpora (Bonin et al. 2010) is of particular importance to various applications, such as MT (Semmar & Laib, 2017), or for the identification and monitoring of neologisms and technical jargon (Chatzitheodorou et al, 2021). We expect approaches that deal with the processing of MWEs as well as the processing of terminology in specialised domains can benefit from each other. MWE processing to enhance end-user applications: MWEs have gained particular attention in end-user applications, including MT (Zaninello & Birch 2020; Han et al. 2021, 2022), simplification (Kochmar et al. 2020), language learning and assessment (Paquot et al. 2019; Christiansen & Arnon 2017), social media mining (Maisto et al. 2017), and abusive language detection (Zampieri et al. 2020; Caselli et al. 2020). We believe that it is crucial to extend and deepen these first attempts to integrate and evaluate MWE technology in these and further end-user applications. MWE identification and interpretation in pre-trained language models: Most current MWE processing is limited to their identification and detection using pre-trained language models, but we still lack understanding about how MWEs are represented and dealt with therein (Nedumpozhimana & Kelleher 2021; Garcia et al. 2021, Fakharian & Cook 2021), how to better model the compositionality of MWEs from semantics (Moreau et al. 2018). Now that NLP has shifted towards end-to-end neural models like BERT, capable of solving complex tasks with little or no intermediary linguistic symbols, questions arise about the extent to which MWEs should be implicitly or explicitly modelled (Shwartz & Dagan, 2019). MWE processing in low-resource languages: The PARSEME shared tasks (Ramisch et al. 2020; 2018; Savary et al. 2017), among others, have fostered significant progress in MWE identification, providing datasets that include low-resource languages, evaluation measures, and tools that now allow fully integrating MWE identification into end-user applications. A few efforts have recently explored methods for the automatic interpretation of MWEs (Bhatia, et al. 2018; 2017), and their processing in low-resource languages (Liu & Wang 2020; Kumar et al. 2017). Resource creation and sharing should be pursued in parallel with the development of methods able to capitalize on small datasets (Han et al. 2020). Through this workshop, we would like to bring together and encourage researchers in various NLP subfields to submit MWE-related research, so that approaches that deal with processing of MWEs including processing for low-resource languages and for various applications can benefit from each other. We also intend to consolidate the converging effects of previous joint workshops LAW-MWE-CxG 2018, MWE-WN 2019 and MWE-LEX 2020, the joint MWE-WOAH panel in 2021, and the MWE-SIGUL 2022 joint session, extending our scope to MWEs in e-lexicons and WordNets, MWE annotation, as well as grammatical constructions. Correspondingly, we call for papers on research related (but not limited) to MWEs and constructions in: Computationally-applicable theoretical work in psycholinguistics and corpus linguistics; Annotation (expert, crowdsourcing, automatic) and representation in resources such as corpora, treebanks, e-lexicons, and WordNets (also for low-resource languages); Processing in syntactic and semantic frameworks (e.g. CCG, CxG, HPSG, LFG, TAG, UD, etc.); Discovery and identification methods, including for specialized languages and domains such as clinical or biomedical NLP; Interpretation of MWEs and understanding of text containing them; Language acquisition, language learning, and non-standard language (e.g. tweets, speech); Evaluation of annotation and processing techniques; Retrospective comparative analyses from the PARSEME shared tasks; Processing for end-user applications (e.g. MT, NLU, summarisation, language learning, etc.); Implicit and explicit representation in pre-trained language models and end-user applications; Evaluation and probing of pre-trained language models; Resources and tools (e.g. lexicons, identifiers) and their integration into end-user applications; Multiword terminology extraction; Adaptation and transfer of annotations and related resources to new languages and domains including low-resource ones. Shared Task We do not have a shared task this year, but a new release of the PARSEME corpus of verbal MWEs is currently underway. We encourage submission of research papers that include analyses of the new edition of the PARSEME data and improvements over the results for PARSEME 2020 shared task as well as SemEval 2022 task 2 on idiomaticity prediction. *** Special Track on MWEs in Clinical NLP *** Pursuing the MWE Section’s tradition of synergies with other communities, this year, we are organizing a joint session with the Clinical NLP workshop for shared papers/poster presentations. Since clinical texts contain an important amount of multiword expressions (e.g. medical terms or domain-specific collocations), a joint session is deemed beneficial for both communities. The goal is to foster future synergies that could address scientific challenges in the creation of resources, models and applications to deal with multiword expressions and related phenomena in the specialised domain of ClinicalNLP. Submissions describing research on MWEs in the specialized domain of ClinicalNLP, especially introducing new datasets or new tools and resources, are welcome. Papers accepted in this track will have the option to present their work in the Clinical NLP workshop at ACL 2023 as well, after being presented at MWE 2023. Invited Speakers We are looking forward to invited talks by two amazing speakers: Leo Wanner, Universitat Pompeu Fabra TBD Best paper award All full papers in the workshop will be considered by the program committee for a best paper award. The decision will be announced in the closing session. Submission formats The workshop invites two types of submissions: archival submissions that present substantially original research in both long paper format (8 pages + references) and short paper format (4 pages + references). non-archival submissions of abstracts describing relevant research presented/published elsewhere which will not be included in the MWE proceedings. Paper submission and templates Papers should be submitted via the workshop's START submission page (https://softconf.com/eacl2023/mwe2023/). Please choose the appropriate submission format (archival/non-archival). Archival papers with existing reviews will also be accepted through the ACL Rolling Review. Submissions must follow the ACL 2023 stylesheet. Archival papers with existing reviews from ACL Rolling Review will also be considered. A paper may not be simultaneously under review through ARR and MWE. A paper that has or will receive reviews through ARR may not be submitted for review to MWE. Important Dates Paper submission: February 20, 2023 ARR paper commitment: March 6, 2023 Notification of acceptance: March 13, 2023 Camera-ready papers due: March 27, 2023 Workshop: May 5 or 6, 2023 All deadlines are at 23:59 UTC-12 (Anywhere on Earth). Organizing Committee Program chairs: Marcos Garcia, Voula Giouli, Lifeng Han, Shiva Taslimipoor Publication chair: Archna Bhatia Publicity chair: Kilian Evang Anti-harassment policy The workshop follows the ACL anti-harassment policy. Contact For any inquiries regarding the workshop, please send an email to the Organizing Committee at mweworkshop2023(a)googlegroups.com.

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A Fully Funded PhD Position in Natural Language Processing
by Xiaodan Zhu 09 Feb '23

09 Feb '23

A fully-funded PhD position in Natural Language Processing and Machine Learning is available at the Text Analytics and Machine Learning Group led by Prof. Xiaodan Zhu (www.xiaodanzhu.com) at the Department of Electrical and Computer Engineering at Queen’s University Canada. The student will also be affiliated with the Ingenuity Labs Research Institute at Queen’s University (https://ingenuitylabs.queensu.ca/). Deadline for application: Apr. 1, 2023 Starting date: Sep. 1, 2023 or Jan. 1, 2024 Contact: xiaodan.zhu(a)queensu.ca Webpage: www.xiaodanzhu.com Application: https://engineering.queensu.ca/future-students/graduate/ About Queen’s University: https://www.queensu.ca/

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CfP: 5th Workshop on Research in Computational Linguistic Typology and Multilingual NLP (SIGTYP 2023 @EACL)
by Kat Vylomova 09 Feb '23

09 Feb '23

We are inviting your submissions to the 5th Workshop on Research in Computational Linguistic Typology and Multilingual NLP (SIGTYP 2023) which will be held at EACL 2023 (May 5 or 6, 2023 Dubrovnik, Croatia). The submission deadline is **February 13**. Submission link: https://openreview.net/group?id=eacl.org/EACL/2023/Workshop/SIGTYP WORKSHOP DESCRIPTION The aim of the 5th edition of SIGTYP workshop is to act as a platform and a forum for the exchange of information between typology-related research, multilingual NLP, and other research areas that can lead to the development of truly multilingual NLP methods. The workshop is specifically aimed at raising awareness of linguistic typology and its potential in supporting and widening the global reach of multilingual NLP, as well as at introducing computational approaches to linguistic typology. It will foster research and discussion on open problems, not only within the active community working on cross- and multilingual NLP but also inviting input from leading researchers in linguistic typology. In 2023, we would like to continue following this direction of research with a special focus on bringing technology to foster documentation of under-described languages. SIGTYP is the first dedicated venue for typology-related research and its integration in multilingual NLP. Appropriate topics include (but are not limited to) the following as they relate to the areas of the workshop: -- Integration of typological features in language transfer and joint multilingual learning. In addition to established techniques such as “selective sharing”, are there alternative ways to encoding heterogeneous external knowledge in machine learning algorithms? -- Development of unified taxonomy and resources. Building universal databases and models to facilitate understanding and processing of diverse languages. -- Automatic inference of typological features. The pros and cons of existing techniques (e.g. heuristics derived from morphosyntactic annotation, propagation from features of other languages, supervised Bayesian and neural models) and discussion on emerging ones. -- Typology and interpretability. The use of typological knowledge for interpretation of hidden representations of multilingual neural models, multilingual data generation and selection, and typological annotation of texts. -- Improvement and completion of typological databases. Combining linguistic knowledge and automatic data-driven methods towards the joint goal of improving the knowledge on cross-linguistic variation and universals. -- Linguistic diversity and universals. Challenges of cross-lingual annotation. Which linguistic phenomena or categories should be considered universal? How should they be annotated? -- Bringing technology to document under-described languages. Improving model performance and documentation of under-resourced languages using typological databases, multilingual models and data from high-resource languages. -- Cognate and Derivative Detection for Low-Resourced Languages. This year’s edition will include a shared task: “Cognate and Derivative Detection for Low-Resourced Languages”; more details can be found here: https://github.com/sigtyp/ST2023. IMPORTANT DATES (all deadlines are 23:59 AoE) — February 13, 2023: Paper submission deadline — March 13, 2023: Notification of acceptance — March 27, 2023: Camera-ready deadline — May 5 or 6, 2023: Workshop SUBMISSIONS We invite both extended abstract submissions (non-archival) and general paper submissions (archival). The accepted submissions will be presented at the workshop, providing new insights and ideas. Extended abstracts should describe already published work or work in progress and should not exceed two (2) pages. This way, we will not discourage researchers from preferring main conference proceedings, at the same time ensuring that interesting and thought-provoking research is presented at the workshop. For general (archival) submissions we accept both long and short papers. Short papers should not exceed four (4) pages, long papers should not exceed eight (8) pages papers. Unlimited additional pages are allowed for the references section in all submission types. Submissions should be anonymous, without authors or an acknowledgement section; self-citations should appear in third person. Submissions must follow the EACL 2023 stylesheet https://2023.eacl.org/calls/styles/; both long and short paper submissions must follow the two-column format of ACL proceedings. All submissions must be in PDF format. These should be submitted via OpenReview: https://openreview.net/group?id=eacl.org/EACL/2023/Workshop/SIGTYP. We are accepting all papers from EACL Findings that are relevant to SIGTYP. Contact us via sigtyp AT gmail DOT com if you would like to present your EACL Findings paper at SIGTYP 2023! ORGANIZING COMMITTEE Koustava Goswami, Alexey Sorokin, Ritesh Kumar, Andrey Shcherbakov, Edoardo M. Ponti, Saliha Muradoğlu, Lisa Beinborn, Ryan Cotterell, Kat Vylomova ANTI-HARASSMENT POLICY The workshop follows the ACL anti-harassment policy: https://www.aclweb.org/adminwiki/index.php?title=Anti-Harassment_Policy. CONTACT For any inquiries regarding the workshop, please send an email to the Organizing Committee at sigtyp(a)gmail.com

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JOB: Wissenschaftliche*r Mitarbeiter*in (m/w/d) im Bereich der digitalen Text- und Literaturwissenschaft
by Berenike Herrmann 08 Feb '23

08 Feb '23

Dear all, please distribute to potential candidates. Job ad in German, suitable for uni graduates (BA/MA e.g. in Digital Humanities / Data Science / Media Studies / Computer Linguistics) and people with XML-expertise who are interested in a part-time opportunity in the field of XML-database implementation ( 50%, one year ) in a project based in Bielefeld, Germany. Basic command of German necessary. I’d be happy to answer questions! Many thanks! Best, Berenike ############### An der Universität Bielefeld ist eine Stelle Wissenschaftliche*r Mitarbeiter*in (m/w/d) im Bereich der digitalen Text- und Literaturwissenschaft für das Projekt „KOLIMO+. Optimierung und Offene Publikation des Korpus der literarischen Moderne“ zum nächstmöglichen Termin zu besetzen. Das Projekt wird von Prof. Dr. Berenike Herrmann im Bereich Germanistik geleitet. Das von der NFDI Text+ geförderte Drittmittelprojekt zielt darauf ab, ein bestehendes Korpus-Datenset aus literarischen Texten nach philologischen und datenwissenschaftlichen Standards gemäß der FAIR- und CARE-Prinzipien aufzubereiten und langfristig interoperabel zu machen, indem es im Rahmen der Text+-Services zur Verfügung gestellt wird. Neben der Überführung der eXist-db Ressource in die TextGrid-Architektur und der sichtbaren Publikation als Use-Case soll es in Zusammenarbeit mit dem Text+-Kompetenzzentrum eine Fallstudie für die Implementierung einer API für das TextGrid-Repository bilden. Zentrales Aufgabenfeld ist die Entwicklung und Publikation der XML-Datenbank KOLIMO+ in Zusammenarbeit mit NFDI Text+ Kompetenzzentrum SUB Göttingen. Gesucht wird wissenschaftliche*r Mitarbeiter*in (m/f/d) mit BA oder MA-Abschluss in Digital Humanities / Data Science / Informatik / Medienwissenschaft / Computerlinguistik / Germanistik (oder anderem einschlägigen Fach) mit Erfahrung im Umgang mit X-Technologien (XML, XSLT, XPath) und XML-Datenbanken, Kenntnis mindestens einer Programmiersprache (z. B. R, Java oder Python) und Erfahrungen mit Application Programming Interfaces (API) oder die Fähigkeit und Bereitschaft, sich diese schnell anzueignen Je nach persönlicher Qualifikation bis zu E13 TV-L befristet auf 1 Jahr (§ 2 Abs. 1 WissZeitVG; entsprechend den Vorgaben des WissZeitVG und des Vertrages über gute Beschäftigungsbedingungen kann sich im Einzelfall eine abweichende Vertragslaufzeit ergeben) | Teilzeit 50 % Interessiert? Dann freuen wir uns über Ihre aussagekräftige Bewerbung. Bitte übersenden Sie uns hierfür Ihre vollständigen Bewerbungsunterlagen unter Angabe der Kennziffer Wiss23053 per E-Mail in einem pdf-Dokument an andrea.schrottenloher(a)unibielefeld.de oder per Post an die angegebene Adresse. Bewerbungsfrist: 01.03.2023 Link zur Ausschreibung: https://uni-bielefeld.hr4you.org/job/view/2223/wissenschaftliche-r-mitarbei… Wir freuen uns auf Bewerbungen! Mit freundlichen Grüßen, Berenike Herrmann Prof. Dr. Berenike Herrmann German Literature / Digital Humanities Bielefeld University https://jberenike.github.io/ Vice 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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