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Call for Papers – IWSDS (International Workshop on Spoken Dialogue Systems Technology) 2023
by Kallirroi Georgila 01 Oct '22

01 Oct '22

Call for Papers – IWSDS (International Workshop on Spoken Dialogue Systems Technology) 2023 February 21-24, 2023, Los Angeles, USA Website: http://www.iwsds.tech<https://urldefense.com/v3/__http://www.iwsds.tech__;!!LIr3w8kk_Xxm!ukr0B0Do…> The International Workshop on Spoken Dialogue Systems Technology (IWSDS) 2023 invites paper submissions. IWSDS 2023 will be held February 21-24, 2023 in Los Angeles, USA at the University of Southern California Institute for Creative Technologies. IWSDS 2023 will be a primarily in person event with a hybrid component for those who cannot travel to Los Angeles and wish to attend virtually. This year’s conference theme is “Diversity in Dialogue Systems” (DiDS). We especially invite paper submissions on the following topics: -Diversity in languages spoken -Diversity in domain/task being performed (e.g., range of tasks, dialogue systems that engage in multiple tasks) -Diversity in user population -Diversity in training data (e.g., ethics/bias considerations) -Diversity in methods/architectures used for dialogue system development (e.g., end-to-end vs. module-based) -Diversity in dialogue system evaluation methodologies -User engagement and emotion in dialogue systems -Proactive, anticipatory, or incremental interaction -Use of humor and metaphors in dialogue systems -Multimodal and situated dialogue systems -Companions and personal assistant dialogue systems -Educational and healthcare applications -Big data and large scale dialogue systems -Digital resources for interactive dialogue management -Domain transfer and adaptation techniques for dialogue systems -Dialogue systems for low-resource languages -Multilingual dialogue systems -Dialogue system evaluation -Machine learning for dialogue systems -Interaction styles in dialogue systems However, submissions are not limited to these topics and we encourage you to submit papers in all areas of natural language dialogue systems. Special Sessions: In addition, IWSDS will host two special sessions. Authors can submit papers to either of these using the same procedure as the regular papers but selecting the specific session during the submission process. Multi-party Conversational AI: The program of IWSDS 2023 will include a special session on multi-party conversational AI, where more than two agents are involved in a conversational interaction. The objectives of this session are to review work done in the past in the field of multi-party conversational AI, to showcase recent and ongoing work, and to identify paths forward. Topics of interest are (but are not limited to): designing social state representations and models for multi-party interactions, addressee identification, speaker diarization, common ground detection, transformers for multi-party dialogue, datasets and simulators for multi-party dialogue, reinforcement learning for managing multi-party dialogue, handling split utterances (user utterances split between dialogue turns and utterances of other speakers), anaphora and ellipsis resolution in multi-party dialogue, multimodal input and output in multi-party dialogue systems, monitoring conversation status (sentiment analysis, detection of (dis)agreements and misunderstandings, etc.), methods and metrics for evaluating multi-party dialogue systems. Dialogue Systems for Multilingual and Under-resourced Language Speakers: Current dialogue systems target mostly monolingual and high resource languages and their speakers. However, millions of speakers around the world (e.g., India, Africa, Europe as well as indigenous and immigrant communities in the US) are multilingual and it is normal for these speakers and communities to switch within or across languages in daily lives (Doğruöz et al., 2021<https://urldefense.com/v3/__https://biblio.ugent.be/publication/8712328__;!…>; Sitaram et al., 2019<https://urldefense.com/v3/__https://arxiv.org/abs/1904.00784__;!!LIr3w8kk_X…>). In addition, most languages of the world are still under-resourced. Therefore, there is a need for dialogue systems to be more inclusive and target both the multilingual and under-resourced languages and their speakers. The aim of this special session is to bring together researchers from the SDS community and encourage research and discussion around the unique challenges (e.g., data collection, model building, sociolinguistic aspects and system evaluation) for multilingual and under-resourced languages. Important Dates: (All deadlines are at 23:59 UTC-12, Anywhere on Earth) Paper submission: October 28, 2022 Paper notification: December 9, 2022 Camera ready papers due: January 11, 2023 Workshop: February 21-24, 2023

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ACL Rolling Review Commitment Deadline: the 5th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE @ EMNLP 2022)
by ali hürriyetoglu 30 Sep '22

30 Sep '22

Dear all, Please be reminded that the ACL Rolling Review commitment deadline for the 5th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE <https://emw.ku.edu.tr/case-2022/> @ EMNLP 2022 <https://2022.emnlp.org/>) is *October 5th (extended), 2022 (AoE)*. The submissions should be done on http://softconf.com/emnlp2022/case2022 (track: case 2022 arr) deadline. The notification date is October 9th. We are looking forward to your submissions/comments/questions! Best wishes, Ali

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Two Research positions in the field of Natural Language Processing and Information Extraction in the Clinical Domain
by Alberto Lavelli 30 Sep '22

30 Sep '22

*Two Research positions in the field of Natural Language Processing and Information Extraction in the Clinical Domain* *Application deadline: 27 October, 2022* Within the context of the eCREAM and of the IDEA4RC projects, funded by the European Union, we are inviting applications for two research positions on the subject of information extraction in the clinical domain in a multilingual perspective. *Job Description* FBK is looking for candidates to cover 2 positions with dynamic, highly motivated, researchers in the field of “Natural Language Processing” for the NLP Unit of the Digital Health and Wellbeing (dHWB) Center. The candidates will be asked to advance state-of-the-art research in the field of NLP, with particular emphasis on the development of techniques for information extraction in the clinical domain. On the topics above, the candidates will have the possibility to supervise PhD students and develop their own specific research directions in accordance with the strategies of the Research Unit and the dHWB Center. The candidates will work in collaboration with other researchers of the NLP Unit and of the dHWB Center, as well as with the partners involved in EU projects. The candidate is also expected to contribute to proposals for funded activities, including reporting and dissemination of results (in both academic and popular venues). Furthermore, we expect the successful candidates to contribute to maintain a strong role of FBK in the Italian and international NLP community. The purpose of the current call is an opportunity of working into an internationally renewed NLP group and develop their own research path in accordance with the long term strategy of the NLP Unit and the dHWB Center. *Job requirements* *The ideal candidates should have:* · PhD Degree in areas related to Computer Science or Computational Linguistics; · Research Expertise in Information Extraction; · Publication track record in the field of NLP; · Good Knowledge in application of deep learning techniques in NLP; · Strong programming skills; · Good knowledge and proficiency of the English language; · Team working attitude; · Good communication and relational skills; · Autonomy in developing research and organising work activities; *Additional requirements:* · Experience in supervision of internship and thesis of bachelor and master level on topics related to NLP; · Experience in working for international research projects; *FBK actively seeks diversity and inclusion in the workplace and is also committed in promoting gender equality.* *Employment* *Type of contract*: fixed term contract – full time *Start date*: preferably from November 2022 *End date*: 31 August, 2027 (eCREAM) / 31 August, 2026 (IDEA4RC) *Gross annual salary*: about € 39.500 *Workplace*: Povo - Trento (Italy) *Application* Interested candidates are requested to submit their application by completing the online form (https://jobs.fbk.eu/). Please make sure that your application contains the following attachments (in pdf format): · Detailed CV including list of scientific publications · Motivation letter · Email address contact for two referees *Application deadline: 27 October, 2022* *About FBK* FBK is a private research institution devoted to excellence in research in numerous disciplines and designated to the role of keeping the Autonomous Province of Trento in the mainstream of European and international research. Each research area is assigned to a specific research center, of which there are eleven totals. Information regarding the research centers, their activities and production is available at http://www.fbk.eu/research-centers. The Digital Health and Wellbeing (dHWB) Center <https://www.fbk.eu/it/digital-healthwellbeing/> focuses on supporting an equitable and sustainable public healthcare system based on the pervasive use of digital technologies and AI by both empowered citizens and healthcare professionals, in the context of the 4P medicine. The activities of the dHWB Center focus on promoting and supporting a value-chain that combines high-quality scientific research (open and targeted) and innovation (social and technological) to have a significant impact on society (citizens and healthcare system) and market. The Natural Language Processing (NLP) research unit <https://ict.fbk.eu/units/nlp/> develops computational models of human languages, focusing on written texts. We are active in the following areas: *text mining (*document classification, information extraction and ontology population from text, semantic inferences, analysis of the sentiment and of the emotional content of texts); *conversational agents (*task oriented dialogue systems, collaborative human-machine dialogues, generation of explanations); and development of *linguistic resources*, particularly for the Italian language. In all the above areas, deep learning techniques are exploited. A common issue concerns the “explainability” of the choices carried out by the systems. We are fond of contributing to the Italian NLP community. -- -- Le informazioni contenute nella presente comunicazione sono di natura privata e come tali sono da considerarsi riservate ed indirizzate esclusivamente ai destinatari indicati e per le finalità strettamente legate al relativo contenuto. Se avete ricevuto questo messaggio per errore, vi preghiamo di eliminarlo e di inviare una comunicazione all’indirizzo e-mail del mittente. -- The information transmitted is intended only for the person or entity to which it is addressed and may contain confidential and/or privileged material. If you received this in error, please contact the sender and delete the material.

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Coptic Scriptorium corpora release 4.4.0
by Amir Zeldes 30 Sep '22

30 Sep '22

We are pleased to announce release 4.4.0 of Coptic Scriptorium <https://copticscriptorium.org/> ! Our data now includes over 1,267,000 tokens of searchable, linguistically analyzed Coptic data from dozens of ancient Coptic works (an increase of almost 100,000 tokens from the previous release). Annotations include POS tagging, lemmatization, morphological analysis, dependency parses, nested NNER, entity linking and more. We are very grateful to all of our collaborators and contributors, without whom this project could not function. This release corrects a large number of consistency errors identified in our existing data, and also adds some new documents: * Sections of three works by Shenoute of Artipe <https://data.copticscriptorium.org/search?author=Shenoute> : * I Have Been Considering <https://data.copticscriptorium.org/texts/shenouteconsidering/> * So Concerning the Little Place <https://data.copticscriptorium.org/texts/shenouteplace/> * The Lord Thundered <https://data.copticscriptorium.org/texts/shenoutethundered/> * New documents added to existing works: * Acephalous Work 22 <https://data.copticscriptorium.org/texts/acephalous_work_22/> * Apophthegmata Patrum <https://data.copticscriptorium.org/texts/ap/> * The remaining books 2-4, as well as the postscript of Pistis Sophia <https://data.copticscriptorium.org/texts/pistissophia/> , which are now added to the previously released book 1 in our online interfaces * Newly treebanked data with syntactic gold standard annotations for the Life of John the Kalybites <https://data.copticscriptorium.org/texts/lifejohnkalybites/> , part 1 We would like to thank the Marcion Project <https://marcion.sourceforge.net/> for making the underlying digitized text of Pistis Sophia available, and all of the annotators for their hard work. Tamara Siuda, Rebecca Krawiec, Philippe Zaher, and Lance Martin contributed, in addition to Amir and Carrie. As our current DHAG grant <https://copticscriptorium.org/dhag> ends, we would like to give special thanks to Lance, who has been working as our DH specialist on the project since 2019, for doing an amazing job of keeping track of all the data and the various tasks he’s been in charge of over the past three years! As with all releases, raw machine readable data for all corpora can be found, including morphological and syntactic analysis, as well as named entity recognition and entity linking, on our GitHub repository, in a variety of popular formats: https://github.com/copticscriptorium/corpora You can also search for complex linguistic annotations in the data using our ANNIS server – please see our new tutorial here to get started with some query tips and a helpful cheat sheet: https://copticscriptorium.org/ANNIS_tutorial We hope this release will be useful and look forward to the next one as always, The Coptic Scriptorium team � �

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[Deadline extended] EvoNLP Workshop at EMNLP 2022
by Jose Camacho Collados 30 Sep '22

30 Sep '22

************************************ EMNLP EvoNLP Workshop: The First Workshop on Ever Evolving NLP -> The main submission deadline has been extended to October 12. Workshop: https://sites.google.com/view/evonlp/ Shared Task: https://sites.google.com/view/evonlp/shared-task Submission deadline (for papers requiring review / non-archival): 12 October, 2022 [EXTENDED!] Submission deadline (with ARR reviews): 25 October, 2022 Notification of acceptance: 31 October, 2022 Camera-ready paper deadline: 11 November, 2022 Workshop date: 7 December, 2022 (co-located with EMNLP) ************************************ Advances in language modeling have led to remarkable accuracy on several NLP tasks, but most benchmarks used for evaluation are static, ignoring the practical setting under which training data from the past and present must be used for generalizing to future data. Consequently, training paradigms also ignore the time sensitivity of language and essentially treat all text as if it was written at a single point in time. Recent studies have shown that in a dynamic setting, where the test data is drawn from a different time period than the training data, the accuracy of such static models degrades as the gap between the two periods increases. -------------------------------------------------------------- This workshop focuses on these time-related issues in NLP models and benchmarks. We invite researchers from both academia and industry to redesign experimental settings, benchmark datasets, and modeling by especially focusing on the “time” variable. We will welcome papers / work-in-progress on several topics including (but not limited to): - Dynamic Benchmarks: Evaluation of Model Degradation in Time Measuring how NLP models age Random splits vs time-based splits (past/future) Latency (days vs years) at which models need to be updated for maintaining task accuracy Time-sensitivity of different tasks and the type of knowledge which gets stale Time-sensitivity of different domains (e.g., news vs scientific papers) and how domain shifts interact with time shifts Sensitivity of different models and architectures to time shifts - Time-Aware Models Incorporating time information into NLP models Techniques for updating / replacing models which degrade with time Learning strategies for improving temporal degradation Trade-offs between updating a degraded model vs replacing it altogether Mitigating catastrophic forgetting of old knowledge as we update models with new knowledge Improving plasticity of models so that they can be easily updated Retrieval based models for improving temporal generalization - Analysis of existing models / datasets Characterizing whether degradation on a task is due to outdated facts or changes in language use Effect of model scale on temporal degradation – do large models exhibit less degradation? Efficiency / accuracy trade-offs when updating models -------------------------------------------------------------- All accepted papers will be published in the workshop proceedings unless requested otherwise by the authors. Submissions can be made either via OpenReview where they will go through the standard double-blind process, or through ACL Rolling Review with existing reviews. See details below. ---- Submission guidelines ---- We seek submissions of original work or work-in-progress. Submissions can be in the form of long/short papers and should follow the ACL main conference template. Authors can choose to make their paper archival/non-archival. All accepted papers will be presented at the workshop. Archival track We will follow double-blind review process and use OpenReview for the submissions. We also will accept ACL rolling review (ARR) submissions with reviews. Since these submissions already come with reviews, the submission deadline is much later than the initial deadline. We will use Open Review for the submissions. Submission link: https://openreview.net/group?id=EMNLP/2022/Workshop/EvoNLP For papers needing review click “EMNLP 2022 Workshop EvoNLP submission” For papers from ARR click “EMNLP 2022 Workshop EvoNLP commitment Submission” ---- Non-archival track ---- Non-archival track seeks recently accepted / published work as well as work-in-progress. It does not need to be anonymized and will not go through the review process. The submission should clearly indicate the original venue and will be accepted if the organizers think the work will benefit from exposure to the audience of this workshop. Submission: Please email your submission as a single PDF file to evonlp(a)googlegroups.com. Include “EvoNLP Non-Archival Submission” in the title and the author names and affiliation within the body of your email. ---- Shared task (TempoWiC) ---- The workshop features a shared task on meaning shift detection in social media. Official competition is closed, but new submissions can be made to Codalab: https://codalab.lisn.upsaclay.fr/competitions/5360 -- Jose Camacho Collados http://www.josecamachocollados.com<http://www.josecamachocollados.com/>

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5 October - Prof Tony McEnery online talk Corpus Linguistics, Learner Corpora, and SLA: Employing Technology to Analyze Language Use
by Pascual Pérez-Paredes 30 Sep '22

30 Sep '22

Corpus Linguistics, Learner Corpora, and SLA: Employing Technology to Analyze Language Use Online talk. October 5, 18:00 (Madrid time) / 17:00 (UK time) Prof Tony McEnery, University of Lancaster Free registration link<https://umurcia.zoom.us/webinar/register/WN_ey8fEpC3RkC7_vAUKEpAgg>. You’ll receive an email with the ZOOM link and code. Abstract In this talk I will explore the relationship between learner corpus and second language acquisition research. I begin by considering the origins of learner corpus research, noting its roots in smaller scale studies of learner language. This development of learner corpus studies will be considered in the broader context of the development of corpus linguistics. I then consider the aspirations that learner corpus researchers have had to engage with second language acquisition research and explore why, to date, the interaction between the two fields has been minimal. By exploring some of the corpus building practices of learner corpus research, and the theoretical goals of second language acquisition studies, I will identify reasons for this lack of interaction and make proposals for how this situation could be fruitfully addressed. Tony McEnery is distinguished professor of Linguistics and English Langauge in the Department of English Language and Linguistics at Lancaster University and Changjiang Chair at Xi’an Jiaotong University in China. He has published widely on corpus linguistics and is the author of Corpus Linguistics: Method, Theory and Practice (with Andrew Hardie, Cambridge University Press, 2011). His latest book, Fundamental Principles of Corpus Linguistics (with Vaclav Brezina) is due out from Cambridge University Press soon. More info: https://www.um.es/languagecorpora/2022/09/20/corpus-linguistics-learner-cor… Pascual Pérez-Paredes https://webs.um.es/pascualf

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announcement for circulation
by Sara Bartl 30 Sep '22

30 Sep '22

Dear All, Sorry for the confusion. Please see the updated version below. Could you please circulate the following announcement about the revised application deadline for the R for Stylistics Workshop? Thank you. Sara Bartl Dear Colleagues, Due to the high number of sign-ups for the R for Stylistics workshop, we have decided to close applications early. The new deadline is 7 October. Please note that this is an in-person event only! R for Stylistics is a two-day (January 19-20, 2023), hands-on workshop for students and scholars of stylistics/literary linguistics who are eager to learn how to use the R programming environment to handle textual data. The workshop will follow an intensive two-day program in which participants will learn the basics of working with R and R Studio, as well as some methods of basic textual analysis with R. The workshop is best suited to advanced students (i.e. MA, PhD) and scholars of stylistics with no prior programming experience. For more information and to register/apply: https://docs.google.com/forms/d/e/1FAIpQLSf1Wrv14EmX2_hsXG_rt0IkxXPvnibl9Qd… Sara Bartl (she/they) @SaraBartl<https://twitter.com/SaraBartl> Doctoral Researcher English Language and Linguistics University of Birmingham Currently reading: Everything Under - Daisy Johnson

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PhD position on Diversity-Aware NLP at University of Stuttgart, Germany
by Agnieszka Falenska 30 Sep '22

30 Sep '22

The independent research group on Diversity-Aware NLP Intelligent Systems (DANIS) headed by Dr. Agnieszka Faleńska [1] invites applications for a *PhD position*. The group is a part of the project Reflecting Intelligent Systems for Diversity, Demography, and Democracy (IRIS3D) [2] funded by the Ministry of Science, Research and the Arts of the State of Baden-Württemberg [3]. It is located at the Institute for Natural Language Processing (IMS) [4] at the University of Stuttgart, Germany [5]. *Project* The immense influence of NLP systems on human lives raises increasing concerns about the possible harm these tools can cause. Harmful behaviors of such systems are regarded as symptoms of their bias, i.e., the systematic preference or discrimination against certain groups of users. NLP tools are commonly trained on textual corpora that display such biases already at the level of their authors. For example, Wikipedia, which is one of the most commonly used sources of training data, is created by a predominantly white and male group of editors. Such a lack of diversity among authors can lessen the impact of data from minorities and, as a consequence, result in NLP models that reflect the underlying demographic imbalances. DANIS contributes to the discourse of fairness in AI by facilitating the design of NLP intelligent systems that can recognize inputs from underrepresented groups of users and strengthen their role in the training processes. *Position* The successful candidate will work on topics ranging from (i) recognition of textual phenomena that identify distinctive demographic groups, (ii) analysis techniques to investigate the influence of particular training signals on neural NLP models, and (iii) incorporating the knowledge of biases into a standard NLP methodology. The position is available for four years, starting in December 2022 or soon thereafter. The salary is according to the German university pay scale (TV-L 13 100%, approx. 50k EUR per year before taxes, see [6] for details). The PhD candidate will benefit from the support structures offered by the Graduate Academy of the University of Stuttgart (GRADUS) [7] and IRIS [8]. Moreover, they will have the chance to collaborate with other IRIS3D projects as well as the interdisciplinary research group E-DELIB (Powering up e-deliberation: towards AI-supported moderation) [9] and the Emmy Noether research group MisT (Computational Models of Misunderstanding) [13]. *Candidate's Profile* * Master’s degree in computational linguistics, computer science, computational social science, or related fields * knowledge of natural language processing (NLP) / computational linguistics (CL) * strong programming skills * advanced knowledge of machine learning methods, experience in deep learning is a plus * excellent communication skills and interest in interdisciplinary work * proficiency in English (knowledge of German is not required) *How to Apply?* To apply, please send as a single PDF document: * a brief motivation letter including your research interests * a CV including a list of publications (if applicable) and contact information of one to two references Applications should be sent to Agnieszka Faleńska (agnieszka.falenska at ims.uni-stuttgart.de). Applications submitted before October 21, 2022 will receive full consideration. The position will remain open until filled, so do not hesitate to get in touch when you find this opening after October 21st. The (online) interviews will take place at the beginning of November. The University of Stuttgart aims to achieve equal opportunities for men and women in university studies and science and to increase the number of women in academia [12].Therefore, people of all genders are equally encouraged to apply. Applications of severely disabled candidates with equivalent qualifications will be given priority. *About IRIS and IRIS3D* The IRIS3D project is embedded in the Cyber Valley ecosystem [10]. It consists of three independent research groups contributing to the reflection on the societal impacts of intelligent systems. The project is a part of the Interchange Forum for Reflecting on Intelligent Systems (IRIS). IRIS provides a platform to stimulate critical reflection on the foundations, mechanisms, implications, and effects of intelligent systems in research, teaching, and society. *About Stuttgart and the University of Stuttgart* The University of Stuttgart is a technically oriented university in Germany. It is especially known for engineering and related topics, with its computer science department being ranked highly, both nationally and internationally. The Institute for Natural Language Processing, which is part of the Faculty of Computer Science and Electrical Engineering, is one of the largest academic research institutes for natural language processing in Germany, with three full professors, an assistant professor, three senior lecturers, and a staff of more than thirty researchers. Its activities range from computational corpus linguistics to semantic processing, deep learning, machine translation, psycholinguistics, and phonetics, and hosts several projects funded by the European Commission (EC), the German Research Foundation (DFG), and various foundations. The institute manages dedicated BSc and MSc programs in Computational Linguistics. The city of Stuttgart [11] is the capital of the state of Baden-Württemberg in southwest Germany. It is a lively and international city, known for its strong economy and rich culture. With Germany's high-speed train system, it is well-connected to many other interesting places, for instance, Munich and Cologne (~2.5 hours), Paris (~3.5 hours), Berlin (~5.5 hours), Strasbourg (<1.5 hours), and Lake of Constance (~2.5 hours). *Links* [1] www.ims.uni-stuttgart.de/en/institute/team/Falenska [2] www.iris.uni-stuttgart.de/research/iris3d [3] mwk.baden-wuerttemberg.de/de/startseite [4] www.ims.uni-stuttgart.de [5] www.uni-stuttgart.de [6] oeffentlicher-dienst.info/c/t/rechner/tv-l/west?id=tv-l-2015 [7] www.student.uni-stuttgart.de/en/uni-a-to-z/Graduate-Academy-of-the-Universi… [8] www.iris.uni-stuttgart.de [9] www.ims.uni-stuttgart.de/en/institute/researchgroups/edelib [10] cyber-valley.de [11] www.stuttgart-tourist.de/en [12] www.uni-stuttgart.de/en/university/organization/management/staff-positions/… [13] www.ims.uni-stuttgart.de/en/institute/researchgroups/mist

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R for Stylistics new application deadline
by Sara Bartl 30 Sep '22

30 Sep '22

Dear All, Could you please circulate the following announcement about the revised application deadline for the R for Stylistics Workshop? Thank you. Sara Bartl Dear Colleagues, Due to the high number of sign-ups for the R for Stylistics workshop, we have decided to close applications early. The new deadline is 7 October. R for Stylistics is a two-day (January 19-20, 2023), hands-on workshop for students and scholars of stylistics/literary linguistics who are eager to learn how to use the R programming environment to handle textual data. The workshop will follow an intensive two-day program in which participants will learn the basics of working with R and R Studio, as well as some methods of basic textual analysis with R. The workshop is best suited to advanced students (i.e. MA, PhD) and scholars of stylistics with no prior programming experience. For more information and to register/apply: https://docs.google.com/forms/d/e/1FAIpQLSf1Wrv14EmX2_hsXG_rt0IkxXPvnibl9Qd… Sara Bartl (she/they) @SaraBartl<https://twitter.com/SaraBartl> Doctoral Researcher English Language and Linguistics University of Birmingham Currently reading: Everything Under - Daisy Johnson

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PhD position on the topic of hate speech detection at University of Klagenfurt
by Wiegand, Michael 30 Sep '22

30 Sep '22

We are pleased to announce the following *PhD position* in the area of Natural Language Processing at the Digital Age Research Center (D!ARC) at the University of Klagenfurt to commence at the earliest opportunity. Level of employment: 75% (30hours/week) Minimum salary: € 32.116,00 per annum (gross), Classification according to collective agreement: B1 Limited to: 4 years Application deadline: open until filled Tasks and responsibilities: contributing to a new research project in the area abusive language detection/hate speech detection Prerequistites for the appointment: • A Master’s degree in the field of computational linguistics, linguistics, computer science or alike, graded with excellent success and corresponding knowledge in the field • Good programming skills (preferably Python) • Fluent in English (both spoken and written); knowledge in German is a plus Additional desired qualifications: • Familiarity with setting up annotation tasks via crowdsourcing • Experience with supervised learning, particularly state-of-the-art deep learning algorithms • Profound knowledge of publicly available NLP tools and resources • Experience with NLP on social media, particularly Twitter • Experience with web crawling and processing large amounts of textual data • Publications at scientific conferences and in journals in the field relating to the position • Social and communication skills, ability to work independently Our offer: The employment contract is concluded with a starting salary of € 2.294,00 gross per month (14 times a year; previous experience deemed relevant to the job can be recognised in accordance with the collective agreement). The University of Klagenfurt also offers: • Personal and professional advanced training courses, management and career coaching • Numerous attractive additional benefits, see also https://jobs.aau.at/en/the-university-as-employer/ • Diversity- and family-friendly university culture • The opportunity to live and work in the attractive Alps-Adriatic region with a wide range of leisure activities in the spheres of culture, nature and sports The application: If you are interested in this position, please apply in German or English providing the usual documents: • Letter of application • Curriculum vitae • Proof of all completed higher education programmes (certificates, supplements, if applicable) • Other documentary evidence that may be relevant to this announcement (see prerequisites and desired qualifications) To apply, please send all your application materials to michael.wiegand(a)aau.at<mailto:michael.wiegand@aau.at>. Please also use this address for obtaining further information on this specific vacancy. General information about the university as an employer can be found at https://jobs.aau.at/en/the-university-as-employer/. The University of Klagenfurt aims to increase the proportion of women and therefore specifically invites qualified women to apply for the position. Where the qualification is equivalent, women will be given preferential consideration. People with disabilities or chronic diseases, who fulfil the requirements, are particularly encouraged to apply.

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2025

2024

2023

2022

Corpora