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Invitation of paper submissions to special issue "Mathematical and Computational Modeling of Language and Social Behaviors” in Mathematics (IF=2.592, Q1)
by WAN, Mingyu [CBS] 18 Aug '22

18 Aug '22

Dear All, We are the guest editors of the special issue “Mathematical and Computational Modeling of Language and Social Behaviors” in Mathematics<https://www.mdpi.com/journal/mathematics> (IF=2.592, Q1). We would like to call for papers to the above special issue from people whose research interest include computational linguistics and the related areas. Deadline for manuscript submissions: 30 June 2023. The aim of the special issue is to highlight the contributions of quantitative modeling and NLP technology to understanding collective human behaviors and to help resolve some of the greatest challenges of our time. We welcome new or improved methods to model linked data from heterogeneous sources and their computational application to solve some real-world problems relating to languages and social behaviors. Topics of interest include such as Sentiment and/or Emotion Analysis, fake news detection, FinNLP and Medical Informatics. Check the details about the special issue through the link: https://www.mdpi.com/si/mathematics/Mathe_Compu_NLP We look forward to your submissions and contribution to this special issue. Thank you very much! Best, Clara (on behalf of the Guest Editors) [https://www.polyu.edu.hk/emaildisclaimer/85A-PolyU_Email_Signature.jpg] Disclaimer: This message (including any attachments) contains confidential information intended for a specific individual and purpose. If you are not the intended recipient, you should delete this message and notify the sender and The Hong Kong Polytechnic University (the University) immediately. Any disclosure, copying, or distribution of this message, or the taking of any action based on it, is strictly prohibited and may be unlawful. The University specifically denies any responsibility for the accuracy or quality of information obtained through University E-mail Facilities. Any views and opinions expressed are only those of the author(s) and do not necessarily represent those of the University and the University accepts no liability whatsoever for any losses or damages incurred or caused to any party as a result of the use of such information.

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Deadline extension: #SMM4H'22, Social Media Mining for Health Applications - Workshop at COLING 2022
by Davy Weissenbacher 18 Aug '22

18 Aug '22

Due to multiple requests, we are *extending* the deadline to August 20, 2022 ============================= Last call for paper: submission deadline August 20, 2022 ============================= *Apologies if you received multiple copies of this CFP* Location: Gyeongju, Republic of Korea Workshop Date: October 16-17, 2022 Workshop link: https://healthlanguageprocessing.org/smm4h-2022/ Submission link: https://www.softconf.com/coling2022/7thSMM4H/ The workshop will include two components — a standard workshop and a shared task Workshop The Social Media Mining for Health Applications (#SMM4H) workshop serves as a venue for bringing together researchers interested in automatic methods for the collection, extraction, representation, analysis, and validation of social media data (e.g., Twitter, Reddit, Facebook) for health informatics. The 7th #SMM4H Workshop, co-located at COLING 2022 ( https://coling2022.org/index), invites 4-page paper (unlimited references in standard COLING format) submissions on original, unpublished research in all aspects at the intersection of social media mining and health. Topics of interest include, but are not limited to: Methods for the automatic detection and extraction of health-related concept mentions in social media Mapping of health-related mentions in social media to standardized vocabularies Deriving health-related trends from social media Information retrieval methods for obtaining relevant social media data Geographic or demographic data inference from social media discourse Virus spread monitoring using social media Mining health-related discussions in social media Drug abuse and alcoholism incidence monitoring through social media Disease incidence studies using social media Sentinel event detection using social media Semantic methods in social media analysis Classifying health-related messages in social media Automatic analysis of social media messages for disease surveillance and patient education Methods for validation of social media-derived hypotheses and datasets Shared task The workshop organizers this year are hosting 10 shared tasks i.e. NLP challenges as part of the workshop. Participating teams will be provided with a set of annotated posts for developing systems, followed by a three-day window during which they will run their systems on unlabeled test data and upload it to Codalab for evaluation. For additional details about the tasks and information about registration, data access, paper submissions, and presentations, go to https://healthlanguageprocessing.org/smm4h-2022/ Task 1 – Classification, detection, and normalization of Adverse Events (AE) mentions in tweets (in English) Task 2 – Classification of stance and premise in tweets about health mandates related to COVID-19 (in English) Task 3 – Classification of changes in medication treatments in tweets and WebMD reviews (in English) Task 4 – Classification of tweets self-reporting exact age (in English) Task 5 – Classification of tweets containing self-reported COVID-19 symptoms (in Spanish) Task 6 – Classification of tweets which indicate self-reported COVID-19 vaccination status (in English) Task 7 – Classification of self-reported intimate partner violence on Twitter (in English) Task 8 – Classification of self-reported chronic stress on Twitter (in English) Task 9 – Classification of Reddit posts self-reporting exact age (in English) Task 10 – Detection of disease mentions in tweets – SocialDisNER (in Spanish) Organizing Committee Graciela Gonzalez-Hernandez, Cedars-Sinai Medical Center, USA Davy Weissenbacher, Cedars-Sinai Medical Center, USA Arjun Magge, University of Pennsylvania, USA Ari Z. Klein, University of Pennsylvania, USA Ivan Flores, Cedars-Sinai Medical Center, USA Karen O’Connor, University of Pennsylvania, USA Raul Rodriguez-Esteban, Roche Pharmaceuticals, Switzerland Lucia Schmidt, Roche Pharmaceuticals, Switzerland Juan M. Banda, Georgia State University, USA Abeed Sarker, Emory University, USA Yuting Guo, Emory University, USA Yao Ge, Emory University, USA Elena Tutubalina, Insilico Medicine, Hong Kong Luis Gasco, Barcelona Supercomputing Center, Spain Darryl Estrada, Barcelona Supercomputing Center, Spain Martin Krallinger, Barcelona Supercomputing Center, Spain Program Committee Cecilia Arighi, University of Delaware, USA Natalia Grabar, French National Center for Scientific Research, France Thierry Hamon, Paris-Nord University, France Antonio Jimeno Yepes, Royal Melbourne Institute of Technology, Australia Jin-Dong Kim, Database Center for Life Science, Japan Corrado Lanera, University of Padova, Italy Robert Leaman, US National Library of Medicine, USA Kirk Roberts, University of Texas Health Science Center at Houston, USA Yutaka Sasaki, Toyota Technological Institute, Japan Pierre Zweigenbaum, French National Center for Scientific Research, France Contact All questions should be emailed to Davy Weissenbacher ( davy.weissenbacher(a)cshs.org)

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North African in ML affinity group workshop at NeurIPS 2022 (First CfP)
by Nedjma OUSIDHOUM 17 Aug '22

17 Aug '22

Dear colleagues, We are pleased to invite you to the North Africans in ML affinity group workshop <https://sites.google.com/view/northafricansinml/cfp>, which will take place at NeurIPS 2022. The workshop will include talks, poster sessions, as well as a shared task relating to ML in North Africa. We will have both archival and non-archival tracks and invited talks. Junior researchers and students interested in NLP from North African institutions and beyond (academia and industry) are welcome to present their new work as well as completed or ongoing research projects or ideas. All nationalities are welcome! Authors of non-archival papers can choose to have their abstracts, bios, and posters posted on our website. NeurIPS D&I will provide some travel grants and registration fee waivers to the participants. Please note that all participants are encouraged to apply for NeurIPS registration fee waivers. We welcome submissions related to any topic of Machine Learning, including (but not limited to): - Machine Learning Applications for North Africa - Theoretical Machine Learning - Natural Language Processing and Information Retrieval - Computer Vision and Computer Graphics - Reinforcement Learning - Applications of Machine Learning for the Environment and Climate - Geometric Deep learning You can visit our website: https://sites.google.com/view/northafricansinml/. Twitter https://twitter.com/NorthAfricansML Best regards, The organisers.

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Final Call for Papers and Shared Task Participation (CASE @ EMNLP 2022): Challenges and Applications of Automated Extraction of Socio-political Events from Text
by ali hürriyetoglu 17 Aug '22

17 Aug '22

Apologies for cross-posting! ************************************************************************************ URL: https://emw.ku.edu.tr/case-2022/ Sep 7, 2022: Submission deadline on Softconf Jul 15, 2022: Latest ARR submission deadline for ARR Oct 2, 2022: Latest ARR commitment deadline Oct 9, 2022: Notification of Acceptance Oct 16, 2022: Camera-ready papers due Workshop dates: Dec 7-8, 2021 Location: Hybrid -> Abu Dhabi & Online Please see below for the important dates of the shared tasks. There are two options for submissions that are i) Softconf page of the workshop: https:// <https://www.softconf.com/m/icspcc2022> softconf.com/emnlp2022/case2022 and ii) ACL Rolling review (ARR): https://aclrollingreview.org/dates. ************************************************************************************ Nowadays, the unprecedented quantity of easily accessible data on social, political, and economic processes offers ground-breaking potential in guiding data-driven analysis in social and human sciences and in driving informed policy-making processes. Governments, multilateral organizations, and local and global NGOs present an increasing demand for high-quality information about a wide variety of events ranging from political violence, environmental catastrophes, and conflict, to international economic and health crises (Coleman et al. 2014; Porta and Diani, 2015) to prevent or resolve conflicts, provide relief for those that are afflicted, or improve the lives of and protect citizens in a variety of ways. Black Lives Matter protests (http://protestmap.raceandpolicing.com) and conflicts in Syria ( https://www.cartercenter.org/peace/conflict_resolution/syria-conflict-resol…) are only two examples where we must understand, analyze, and improve real-life situations using such data. Finally, these efforts respond to “growing public interest in up-to-date information on crowds” as well ( https://sites.google.com/view/crowdcountingconsortium/faqs). Event extraction has long been a challenge for the natural language processing (NLP) community as it requires sophisticated methods in defining event ontologies, creating language resources, domain specific grammars, developing Machine Learning models and other algorithmic approaches for various event-detection- specific tasks, such entity detection, semantic labeling, event classification and clustering and others (Pustojevsky et al. 2003; Boroş, 2018; Chen et al. 2021). Social and political scientists have been working to create socio-political event (SPE) databases such as ACLED, EMBERS, GDELT, ICEWS, MMAD, PHOENIX, POLDEM, SPEED, TERRIER, and UCDP following similar steps for decades. These projects and the new ones increasingly rely on machine learning (ML), deep learning (DL), and NLP methods to deal better with the vast amount and variety of data in this domain (Hürriyetoğlu et al. 2020). Unfortunately, automated approaches suffer from major issues like bias, limited generalizability, class imbalance, training data limitations, and ethical issues that have the potential to affect the results and their use drastically (Lau and Baldwin 2020; Bhatia et al. 2020; Chang et al. 2019). Moreover, the results of the automated systems for SPE information collection have neither been comparable to each other nor been of sufficient quality (Wang et al. 2016; Schrodt 2020). SPEs are varied and nuanced. Both the political context and the local language used may affect whether and how they are reported. We invite contributions from researchers in computer science, NLP, ML, DL, AI, socio-political sciences, conflict analysis and forecasting, peace studies, as well as computational social science scholars involved in the collection and utilization of SPE data. Academic workshops specific to tackling event information in general or for analyzing text in specific domains such as health, law, finance, and biomedical sciences have significantly accelerated progress in these topics and fields, respectively. However, there has not been a comparable effort for handling SPEs. We fill this gap. We invite work on all aspects of automated coding and analysis of SPEs and events in general from mono- or multi-lingual text sources. This includes (but is not limited to) the following topics 1) Extracting events in and beyond a sentence, event coreference resolution, 2) New datasets, training data collection, and annotation for event information, 3) Event-event relations, e.g., subevents, main events, causal relations, 4) Event dataset evaluation in light of reliability and validity metrics, 5) Defining, populating, and facilitating event schemas and ontologies, 6) Automated tools and pipelines for event collection related tasks, 7) Lexical, syntactic, discursive, and pragmatic aspects of event manifestation, 8) Methodologies for development, evaluation, and analysis of event datasets, 9) Applications of event databases, e.g. early warning, conflict prediction, policymaking, 10) Estimating what is missing in event datasets using internal and external information, 11) Detection of new SPE types, e.g. creative protests, cyberactivism, COVID19 related, 12) Release of new event datasets, 13) Bias and fairness of the sources and event datasets, 14) Ethics, misinformation, privacy, and fairness concerns pertaining to event datasets, and 15) Copyright issues on event dataset creation, dissemination, and sharing. 16) We encourage submissions of new system description papers on our available benchmarks (ProtestNews @ CLEF 2019, AESPEN @ LREC 2020, and CASE @ 2021). Please contact the organizers if you would like to access the data. The proceedings of the previous editions should be indicative of what we cover: ProtestNews @ CLEF 2019 (http://ceur-ws.org/Vol-2380/), AESPEN @ ACL 2020 (https://aclanthology.org/volumes/2020.aespen-1/), CASE @ ACL-IJCNLP 2021 (https://aclanthology.org/volumes/2021.case-1/). **** Shared tasks **** Task 1- Multilingual protest news detection: This is the same shared task organized at CASE 2021 (For more info: https://aclanthology.org/2021.case-1.11/) But this time there will be additional data and languages at the evaluation stage. Contact person: Ali Hürriyetoğlu (ali.hurriyetoglu(a)gmail.com). Github: https://github.com/emerging-welfare/case-2022-multilingual-event Task 2- Automatically replicating manually created event datasets: The participants of Task 1 will be invited to run the systems they will develop to tackle Task 1 on a news archive (For more info https://aclanthology.org/2021.case-1.27/). Contact person: Hristo Tanev ( htanev(a)gmail.com). Github: https://github.com/emerging-welfare/case-2022-multilingual-event Task 3- Event causality identification: Causality is a core cognitive concept and appears in many natural language processing (NLP) works that aim to tackle inference and understanding. We are interested to study event causality in news, and therefore, introduce the Causal News Corpus. The Causal News Corpus consists of 3,559 event sentences, extracted from protest event news, that have been annotated with sequence labels on whether it contains causal relations or not. Subsequently, causal sentences are also annotated with Cause, Effect, and Signal spans. Our two subtasks (Sequence Classification and Span Detection) work on the Causal News Corpus, and we hope that accurate, automated solutions may be proposed for the detection and extraction of causal events in news. Contact person: Fiona Anting Tan (tan.f(a)u.nus.edu). Github: https://github.com/tanfiona/CausalNewsCorpus **** Deadlines for the Shared tasks **** ** Task 1 & 2: Training data available: The training data from CASE 2021 is used. New test data available: Sept 15, 2022 Test end: Sep 25, 2022 System Description Paper submissions due: Oct 2, 2022 Notification to authors after review: Oct 09, 2022 Camera-ready: Oct 16, 2022 ** Task 3: Training data available: Apr 15, 2022 Validation data available: Apr 15, 2022 Validation labels available: Aug 01, 2022 Test data available: Aug 01, 2022 Test start: Aug 01, 2022 Test end: extended from Aug 15 to Aug 31, 2022 System Description Paper submissions due: Sep 07, 2022 Notification to authors after review: Oct 09, 2022 Camera ready: Oct 16, 2022 *** Keynotes *** Three prominent scholars have accepted our invitation as keynote speakers: i) J. Craig Jenkins (https://sociology.osu.edu/people/jenkins.12) is Academy Professor Emeritus of Sociology at The Ohio State University. He directed the Mershon Center for International Security Studies from 2011 to 2015 and is now senior research scientist. ii) Scott Althaus (https://pol.illinois.edu/directory/profile/salthaus) is Merriam Professor of Political Science, Professor of Communication, and Director of the Cline Center for Advanced Social Research at the University of Illinois Urbana-Champaign. iii) Thien Huu Nguyen (https://ix.cs.uoregon.edu/~thien/) is an assistant professor in the Department of Computer and Information Science at the University of Oregon. Thien is the director of the NSF IUCRC Center for Big Learning (CBL) at the University of Oregon. **** Submissions ***** This call solicits short and long papers reporting original and unpublished research on the topics listed above. The papers should emphasize obtained results rather than intended work and should indicate clearly the state of completion of the reported results. The page limits and content structure announced at ACL ARR page (https://aclrollingreview.org/cfp) should be followed for both short and long papers. Papers should be submitted on the START page of the workshop ( http://softconf.com/emnlp2022/case2022) or on ARR page (TBA on the workshop website) in PDF format, in compliance with the ACL publication author guidelines for ACL publications https://acl-org.github.io/ACLPUB/formatting.html The reviewing process will be double-blind and papers should not include the author's names and affiliations. Each submission will be reviewed by at least three members of the program committee. The workshop proceedings will be published on ACL Anthology.

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Postdoc or PhD Position in Fairness-aware Learning to Rank at the University of Amsterdam
by Andrew Yates 16 Aug '22

16 Aug '22

The IRLab at the University of Amsterdam (https://irlab.science.uva.nl/) seeks a postdoc or PhD student to work on fairness-aware learning to rank. Algorithmic hiring is on the rise and rapidly becoming necessary in some sectors, but these systems run the risk of reproducing and amplifying discriminatory biases. In the context of the interdisciplinary FINDHR EU project on Fairness and Intersectional Non-Discrimination in Human Recommendation, the successful postdoc or PhD student will design and evaluate fairness-aware ranking algorithms. In contrast with fairness-aware ranking in contexts where click feedback is immediate, the algorithmic hiring use case raises new challenges of learning from delayed rewards, leveraging complex feedback, and supporting optional positive actions. Interested candidates are invited to apply by 25 August, 2022. For more details and to apply, see https://vacatures.uva.nl/UvA/job/Postdoctoral-Researcher-or-PhD-Position-in… Our team has a strong collaborative and collegial atmosphere. We strongly encourage applications coming from a unique perspective. Tell us how your background fits with the focus of this position, even if your profile is slightly different from the profile / requirements written in the official vacancy text linked to above. In August 2022, our team will move into a brand new, sustainable, energy-neutral, and circular building in Amsterdam Science Park. Come and join us!

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Final CfP Third workshop on Resources for African Indigenous Language (RAIL)
by Menno Van Zaanen 16 Aug '22

16 Aug '22

Final call for papers Third workshop on Resources for African Indigenous Language (RAIL) https://bit.ly/rail2022 The South African Centre for Digital Language Resources (SADiLaR) is organising the 3rd RAIL workshop in the field of Resources for African Indigenous Languages. This workshop aims to bring together researchers who are interested in showcasing their research and thereby boosting the field of African indigenous languages. This provides an overview of the current state-of-the-art and emphasizes availability of African indigenous language resources, including both data and tools. Additionally, it will allow for information sharing among researchers interested in African indigenous languages and also start discussions on improving the quality and availability of the resources. Many African indigenous languages currently have no or very limited resources available and, additionally, they are often structurally quite different from more well-resourced languages, requiring the development and use of specialized techniques. By bringing together researchers from different fields (e.g., (computational) linguistics, sociolinguistics, language technology) to discuss the development of language resources for African indigenous languages, we hope to boost research in this field. The RAIL workshop is an interdisciplinary platform for researchers working on resources (data collections, tools, etc.) specifically targeted towards African indigenous languages. It aims to create the conditions for the emergence of a scientific community of practice that focuses on data, as well as tools, specifically designed for or applied to indigenous languages found in Africa. Suggested topics include the following: * Digital representations of linguistic structures * Descriptions of corpora or other data sets of African indigenous languages * Building resources for (under resourced) African indigenous languages * Developing and using African indigenous languages in the digital age * Effectiveness of digital technologies for the development of African indigenous languages * Revealing unknown or unpublished existing resources for African indigenous languages * Developing desired resources for African indigenous languages * Improving quality, availability and accessibility of African indigenous language resources The 3rd RAIL workshop 2022 will be co-located with the 10th Southern African Microlinguistics Workshop ( https://sites.google.com/nwulettere.co.za/samwop-10/home). This will be an in-person event located in Potchefstroom, South Africa. Registration will be free. RAIL 2022 submission requirements: * RAIL asks for full papers from 4 pages to 8 pages (plus more pages for references if needed), which must strictly follow the Journal of the Digital Humanities Association of Southern Africa style guide ( https://upjournals.up.ac.za/index.php/dhasa/libraryFiles/downloadPublic/30 ). * Accepted submissions will be published in JDHASA, the Journal of the Digital Humanities Association of Southern Africa ( https://upjournals.up.ac.za/index.php/dhasa/). * Papers will be double blind peer-reviewed and must be submitted through EasyChair (https://easychair.org/my/conference?conf=rail2022). Important dates Submission deadline: 28 August 2022 Date of notification: 30 September 2022 Camera ready copy deadline: 23 October 2022 RAIL: 30 November 2022, North-West University - Potchefstroom SAMWOP: 1 – 3 December 2022, North-West University - Potchefstroom Organising Committee Jessica Mabaso Rooweither Mabuya Muzi Matfunjwa Mmasibidi Setaka Menno van Zaanen South African Centre for Digital Language Resources (SADiLaR), South Africa -- Prof Menno van Zaanen menno.vanzaanen(a)nwu.ac.za Professor in Digital Humanities South African Centre for Digital Language Resources https://www.sadilar.org ________________________________ NWU CORONA VIRUS: http://www.nwu.ac.za/coronavirus/ NWU PRIVACY STATEMENT: http://www.nwu.ac.za/it/gov-man/disclaimer.html DISCLAIMER: This e-mail message and attachments thereto are intended solely for the recipient(s) and may contain confidential and privileged information. Any unauthorised review, use, disclosure, or distribution is prohibited. If you have received the e-mail by mistake, please contact the sender or reply e-mail and delete the e-mail and its attachments (where appropriate) from your system. ________________________________

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3-year Research Associate (post-doc) position at The University of Sheffield, UK
by Carol Scarton 16 Aug '22

16 Aug '22

Dear all, We are hiring a Research Associate (post-doc) to work in the area of natural language processing and machine learning, and more specifically analysis of online misinformation. The main focus of the post-holder will be research on explainable machine learning methods for detection and analysis of online misinformation. This post is for 3 years and the expected start is November 2022 (or shortly after). The deadline for application is 1st of September. More information: https://www.jobs.ac.uk/job/CSF074/research-associate-in-machine-learning-an… Kind regards -- *Carolina Scarton* Lecturer in Natural Language Processing Department of Computer Science University of Sheffield http://staffwww.dcs.shef.ac.uk/people/C.Scarton/

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CFP: Propaganda Detection in Arabic Shared Task (WANLP-7 - EMNLP 2022)
by Wajdi Zaghouani 16 Aug '22

16 Aug '22

****Apologies for Cross Posting ***** Dear colleagues, you are invited to submit a system paper for the first Propaganda Detection in Arabic shared task held with the 7th Arabic Natural Language Processing Workshop (WANLP 2022) co-located with the EMNLP2 022 Conference in Abu Dhabi (Dec 7, 2022). https://sites.google.com/view/propaganda-detection-in-arabic/ Tasks Subtask 1: Given only the “text” of a Tweet, identify which of the 20 techniques (https://propaganda.qcri.org/annotations/definitions.html) are used in it. This is a multilabel classification problem. Subtask 2: Given only the “text” of a Tweet, identify which of the 20 techniques (https://propaganda.qcri.org/annotations/definitions.html) are used in it together with the span(s) of text covered by each technique. This is a sequence tagging task Important Dates July 24, 2022: Release of training, dev and dev-test data, and evaluation scripts. September 10, 2022: Registration deadline. September 10, 2022: Release of test data (and final training and dev data). September 15, 2022: End of the evaluation cycle (test set submission closes) September 20, 2022: Results released October 5, 2022: System description paper submissions due. October 15, 2022: Notification of acceptance. October 31, 2022: Camera-ready versions due. December 7, 2022: WANLP 2022 workshop at EMNLP in Abu Dhabi Lab Registration Please register here: https://shorturl.at/ftuz9 Datasets The Datasets are hosted on the Gitlab repository: https://gitlab.com/arabic-nlp/propaganda-detection/ Organizers Firoj Alam, Qatar Computing Research Institute, HBKU Hamdy Mubarak, Qatar Computing Research Institute, HBKU Wajdi Zaghouani, HBKU Preslav Nakov, Qatar Computing Research Institute, HBKU Giovanni Da San Martino, University of Padova ---- *Wajdi Zaghouani, Ph.D.* *Assistant Professor* College of Humanities and Social Sciences P.O. Box 34110 | Education City | Doha, Qatar tel: +974 4454 5601 | mob: +974 33454992 wzaghouani(a)hbku.edu.qa| Office A141, LAS Building

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Tools for transliteration
by Maria Guzenko 15 Aug '22

15 Aug '22

Dear all, As part of my research, I am looking for a (preferably Python) library that will take Hebrew text and transliterate it phonetically either to Latin characters, IPA, or Cyrillic characters. (This will be used in a tokenizer; I am happy to share details privately if someone would like to learn more about my project.) I have already found a solution for restoring the vowels (nikud) in Hebrew text, so that's not an issue. The ideal case would be to something similar to https://www.alittlehebrew.com/transliterate/ or (less ideal, because it uses non-IPA symbols and is not in Python) https://github.com/charlesLoder/hebrew-transliteration. To avoid flooding the mailing list, feel free to email me directly at mguzenko(a)outlook.com<mailto:mguzenko@outlook.com>. Thank you. Best, Maria Guzenko MA Candidate in Technology for Translation and Interpreting

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Reminder: Workshop on Pronouns and Machine Translation
by Gongbo Tang 15 Aug '22

15 Aug '22

Dear colleagues, We are delighted to invite you to our public Workshop on Pronouns and Machine Translation, which will be held on-line on 19 August 2022. The workshop features a series of lectures on recent work related to understanding, modelling and evaluating pronouns and other discourse-level phenomena in neural machine translation and a panel discussion. Here is the link to the workshop: https://christianhardmeier.rax.ch/workshop/pronouns-and-mt-2022/ **Registration** Registration is free. Please sign up with the following link: https://uu-se.zoom.us/meeting/register/u50rd-qgrjoiGtK8YvlWZ1hecbzHsxp9oBRa Program: Time (UTC+2) Speaker 11:00-11:45 Sheila Castilho, ADAPT Centre, Dublin City University 11:45-12:30 Deyi Xiong, Tianjin University 12:30-13:00 Kayo Yin, DeepMind/UC Berkeley 13:00-13:30 Prathyusha Jwalapuram, Nanyang Technological University 13:30-14:00 Panel discussion 14:00-14:30 Break 14:30-15:00 Christian Hardmeier, Uppsala University/IT University of Copenhagen 15:00-15:30 Gongbo Tang, Uppsala University 15:30-16:00 Biao Zhang, University of Edinburgh Best Regards, Christian Hardmeier and Gongbo Tang När du har kontakt med oss på Uppsala universitet med e-post så innebär det att vi behandlar dina personuppgifter. För att läsa mer om hur vi gör det kan du läsa här: http://www.uu.se/om-uu/dataskydd-personuppgifter/ E-mailing Uppsala University means that we will process your personal data. For more information on how this is performed, please read here: http://www.uu.se/en/about-uu/data-protection-policy

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