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PhD position in NLP & Information Extraction at HHU Düsseldorf
by Laura Kallmeyer 20 Dec '22

20 Dec '22

Starting from May 2023, the Data & Knowledge Engineering group at Heinrich-Heine-University (HHU, Düsseldorf), affiliated with Knowledge Technologies for Social Sciences (KTS, https://www.gesis.org/en/kts) at GESIS (Cologne) and the Computational Linguistics department at HHU ( https://www.ling.hhu.de/bereiche-des-institutes/abteilung-fuer-computerling… ) are looking for a *PhD student– Information Extraction & Natural Language Processing* (Salary group 13 TV-L, working time 75%-100%, initially limited to 36 months with the possibility of further extension) In the context of the research project "NewOrder", we are investigating scientific online discourse in news & social media, in an interdisciplinary consortium involving researchers from Computer Science, Psychology, Political and Communication Science. Our research will be concerned with novel Natural Language Processing (NLP) methods for the analysis of scientific online discourse (e.g. on Twitter) addressing challenges arising from its informal nature and heterogeneity. For instance, references to scientific works (e.g. publications, studies, datasets), scientists or scientific organisations are often provided in informal and ambiguous ways. Other challenges include the dynamically evolving vocabulary posing challenges for reuse and adaptation of both pretrained language models as well as NLP models finetuned towards specific downstream tasks. Hence, detecting and disambiguating informal science discourse and associated claims remains a challenging problem. Your tasks will be: ******************* * Research in fields such as NLP, Machine Learning, Language Modeling and Representation learning, specifically with the aim to extract structured information from online discourse data * Develop NLP methods for (i) the detection, disambiguation and classification of sources of science-related information on social media, (ii) assessing the quality and credibility of sources and claims and (iii) investigating implicit language cues for cognitive states and source characteristics/traits * Writing, publishing and presenting project results * Collaboration with team members and project partners in an interdisciplinary consortium Your profile: ************** * University degree (diploma/MSc) in Computer Science, Computational Linguistics or related fields * Research interests in NLP, machine learning, data mining, large language models * Hands-on experience with Python and handling big datasets, ideally experience with Big Data Frameworks (e.g. Spark/Hadoop) * Knowledge of ML-Frameworks such as TensorFlow and PyTorch * Ability to communicate fluently in English mandatory, basic knowledge of the German language desirable What we offer: *************** * Flexible working hours and home office arrangements * A fast growing and international working environment with a lot of creative scientific freedom * Access to unique research data, (social) web archives and behavioral data * Support of collaborations with international research labs and experts through an extensive international exchange programme The PhD research will be supervised by Prof. Dr. Stefan Dietze (Scientific Director of KTS at GESIS and Professor for Data & Knowledge Engineering at HHU) & Prof. Dr. Laura Kallmeyer (Chair of Computational Linguistics department at HHU). For further information please contact Stefan Dietze (stefan.dietze(a)hhu.de) and/or Laura Kallmeyer (kallmeyer(a)phil.uni-duesseldorf.de). Interested? ************* Please apply by sending your complete application documents as a single PDF file to kallmeyer(a)phil.hhu.de by 20 January 2023. -- Prof. Dr. Laura Kallmeyer Institut für Linguistik Heinrich-Heine Universität Duesseldorf Universitaetsstr. 1 D-40225 Duesseldorf, Germany https://user.phil.hhu.de/kallmeyer/ Phone +49 (0)211 8113899

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CfP: WWW workshop on Online Social Networks in the Human-centric Metaverse
by Arkaitz Zubiaga 20 Dec '22

20 Dec '22

CALL FOR PAPERS ACM OSNeHM 2023 First International workshop on Online Social Networks in the Human-centric Metaverse co-located with The Web Conference 2023 Austin, Texas, USA APRIL 30 - MAY 4, 2023 https://osnehm.iit.cnr.it/ ____________________________________________________________________ SCOPE AND OVERVIEW __________________ The cyber and physical worlds are increasingly becoming indistinguishable. This is fostered by enabling technologies such as IoT and pervasive networks, advanced data management and analytics techniques, and advanced platforms with massive diffusion, chiefly among them Online Social Networks. Whatever we do in one world has immediate consequences on the other world, thanks to a constant flow of data - and online analytics - between the two worlds. In this context, the vision of the Metaverse provides additional perspectives, augmenting human interactions with things and other humans across the two worlds. The role of the humans in this socio-technical complex system is key, and still largely unexplored. Quite interestingly, while new tools characteristic of the cyber-physical world - OSN among them - have been designed to largely extend human capabilities, the real interplay between these tools and human behaviours and cognitive constraints often result in unexpected results. Therefore, while humans are in principle at the center of the cyber-physical convergence and, thus -- in the perspective -- of the Metaverse, the interplay between both worlds and the technical solutions underpinning this convergence are hitherto largely unexplored and yet to be understood. This is a big gap our community should feel, in order to develop cyber-physical worlds (and the Metaverse) as a truly human-centric environment. OSNeHM’s main theme will be the role of Online Social Networks in such a human-centric cyber-physical convergence leading to the Metaverse. It will provide a forum for discussion on early yet principled approaches and results on all aspects related to this theme. A special emphasis will be devoted to the characterisation of the individual and social behaviour of humans, using OSN as “big data microscopes” for collecting and analysing big data via robust big data analytics. Papers discussing solutions focusing on the interplay between social and technical (online and offline) worlds will be high welcome. On the other hand, the workshop will welcome papers proposing novel technical solutions to support human-centric approaches to the evolution of OSN in the perspective of the Metaverse. Specific topics of interest include, but are not limited to, the following: * OSNeHM platforms, protocols and applications; * OSN and Metaverse services & applications; * Decentralised, mobile and location-based OSNeHM; * Trust, reputation, privacy and security in OSNeHM; * Dynamics of trends, information and opinion diffusion in OSNeHM; * Fake news, toxicity radicalization and disinformation in OSNeHM; * Detecting, modeling and tackling Online harms in OSNeHM; * Recommendations and advertising in OSNeHM; * Measurement, analysis and modeling of popular OSN (Facebook, Twitter, Instagram, Flickr, etc.), including decentralized ones (e.g., Mastodon, Pleroma, ...); * Data mining, and machine learning in OSNeHM systems; * Social media analysis and social analytics in the perspective of OSNeHM; * Information extraction and search in OSNeHM; * Complex-network analysis of OSNeHM; * Modeling of social behavior through OSN data; * Crowdsourcing and OSNeHM; * Multidisciplinary applications of OSNeHM (economics, medicine, society, politics, homeland security, psychology, etc.) PAPER FORMAT AND SUBMISSION INSTRUCTIONS ________________________________________ Papers that have been previously published or are under review for another journal, conference or workshop will not be considered for publication. Submitted papers should not exceed 12 pages in length (maximum 8 pages for the main paper content + maximum 2 pages for appendixes + maximum 2 pages for references). Papers must be submitted in PDF format according to the ACM template published in the ACM guidelines, selecting the generic “sigconf” sample. The PDF files must have all non-standard fonts embedded. Workshop papers must be self-contained and in English. Submissions that do not follow these guidelines may be rejected without review. Further, at least one author of each accepted workshop paper has to register for the main conference. Workshop attendance is only granted for registered participants. Accepted papers will be included in the workshop proceedings, which will be published as companion proceedings of The Web Conference, and indexed according to the main conference policy. Please follow the submission link at: https://easychair.org/conferences/submissions?a=29997356 and select the full name of the workshop in the submission list. AWARDS AND EDITORIAL FOLLOW-UPS _______________________________ We will consider assigning a best paper award. We will organise a special issue on the Elsevier Online Social Networks and Media (OSNEM) Journal https://www.journals.elsevier.com/online-social-networks-and-media/ soliciting submissions of extended versions of particularly promising papers. OSNEM is a recent yet very well-reputed (Q1 SJR) journal covering, among others, 100% of the workshop topics. IMPORTANT DATES (all deadlines are AoE) _______________ 23rd January 2023: Abstract submission deadline 6th February 2023: Workshop paper submission deadline 6th March 2023: Workshop paper (acceptance) notification 20th March 2023: Workshop papers camera-ready deadline 31st March 2023: Final program (with duration) provided to Workshop Track leads 1st or 2nd May 2023: Workshops at WWW2023 ORGANISING COMMITTEE ____________________ Workshop chairs: * Marco Conti, IIT-CNR, Italy * Andrea Passarella, IIT-CNR, Italy * Jussara M. Almeida, Universidade Federal de Minas Gerais, Brazil * Arkaitz Zubiaga, Queen Mary University of London, UK Technical Program Committee (TBC) For more information, please write to the workshop co-chairs at osnehm23 <at> iit <dot> cnr <dot> it

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Clickbait Spoiling at SemEval 2023: 2nd Call for Participation
by maik.froebe＠uni-jena.de 19 Dec '22

19 Dec '22

We invite you to participate in the SemEval 2023 shared task on clickbait spoiling. Clickbait spoiling means generating or extracting a short message for a clickbait post that spoils the clickbait by filling its curiosity gap. Learn more at https://clickbait.webis.de/ ------------------------------------------------------------------------------- Important Dates ------------------------------------------------------------------------------- Now open: Registration January 10, 2023: Submission deadline February 2023: Participant paper submission March 2023: Peer review notification April 2023: Camera-ready participant papers submission Summer 2023: SemEval workshop (co-located with a major NLP conference) Best regards, PAN team

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Azimut Research Award - Deadline approaching: December, 23rd 2022
by Fabio Massimo Zanzotto 19 Dec '22

19 Dec '22

Don't miss the deadline (December, 23rd 2022) to submit your proposal for the Research Award! Propose YOUR solution for interpreting old databases! Dinosaur databases are running the world! As relics of the early steps of the information era, these Databases are still the basis of many economic transactions. Although their age, it seems extremely difficult to replace them with novel and faster solutions. These databases were written in a wonderful era in which memory was a problem. Hence, variable, table, and column names were short and cryptic. Moreover, documents describing these names are buried in forgotten places if they still exist. The challenge is, then, giving sense to these dinosaur databases to help software engineers to produce the novel version. Ready to apply? Azimut is looking forward to your submission! Deadline: December, 23rd 2022 More info at: <https://www.azimut.it/it/az-venture-tech-challenge> https://www.azimut.it/it/az-venture-tech-challenge Azimut (https://www.azimut.it), a leading wealth management company in Europe, offers a Research Award to whoever can propose a solution to interpret old databases.

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Text2Story@ECIR’23 Call for Participation
by Hugo Oliveira Sousa 19 Dec '22

19 Dec '22

*** Apologies for cross-posting *** ++ CALL FOR PAPERS ++ **************************************************************************** Sixth International Workshop on Narrative Extraction from Texts (Text2Story'23) Held in conjunction with the 45th European Conference on Information Retrieval (ECIR'23) April 2nd, 2023 - Dublin, Ireland Website: https://text2story23.inesctec.pt<https://text2story23.inesctec.pt/> **************************************************************************** ++ Important Dates ++ - Submission deadline: January 23rd, 2023 - Acceptance Notification Date: March 3rd, 2023 - Camera-ready copies: March 17th, 2023 - Workshop: April 2nd, 2023 ++ Overview ++ Recent years have shown a stream of continuously evolving information making it unmanageable and time-consuming for an interested reader to track and process and to keep up with all the essential information and the various aspects of a story. Automated narrative extraction from text offers a compelling approach to this problem. It involves identifying the sub-set of interconnected raw documents, extracting the critical narrative story elements, and representing them in an adequate final form (e.g., timelines) that conveys the key points of the story in an easy-to-understand format. Although, information extraction and natural language processing have made significant progress towards an automatic interpretation of texts, the problem of automated identification and analysis of the different elements of a narrative present in a document (set) still presents significant unsolved challenges ++ List of Topics ++ In the sixth edition of the Text2Story workshop, we aim to bring to the forefront the challenges involved in understanding the structure of narratives and in incorporating their representation in well-established models, as well as in modern architectures (e.g., transformers) which are now common and form the backbone of almost every IR and NLP application. It is hoped that the workshop will provide a common forum to consolidate the multi-disciplinary efforts and foster discussions to identify the wide-ranging issues related to the narrative extraction task. To this regard, we encourage the submission of high-quality and original submissions covering the following topics: * Narrative Representation Models * Story Evolution and Shift Detection * Temporal Relation Identification * Temporal Reasoning and Ordering of Events * Causal Relation Extraction and Arrangement * Narrative Summarization * Multi-modal Summarization * Automatic Timeline Generation * Storyline Visualization * Comprehension of Generated Narratives and Timelines * Big Data Applied to Narrative Extraction * Personalization and Recommendation of Narratives * User Profiling and User Behavior Modeling * Sentiment and Opinion Detection in Texts * Argumentation Analysis * Bias Detection and Removal in Generated Stories * Ethical and Fair Narrative Generation * Misinformation and Fact Checking * Bots Influence * Narrative-focused Search in Text Collections * Event and Entity importance Estimation in Narratives * Multilinguality: Multilingual and Cross-lingual Narrative Analysis * Evaluation Methodologies for Narrative Extraction * Resources and Dataset Showcase * Dataset Annotation for Narrative Generation/Analysis * Applications in Social Media (e.g. narrative generation during a natural disaster) * Language Models and Transfer Learning in Narrative Analysis * Narrative Analysis in Low-resource Languages ++ Dataset ++ We challenge the interested researchers to consider submitting a paper that makes use of the tls-covid19 dataset (published at ECIR'21) under the scope and purposes of the text2story workshop. tls-covid19 consists of a number of curated topics related to the Covid-19 outbreak, with associated news articles from Portuguese and English news outlets and their respective reference timelines as gold-standard. While it was designed to support timeline summarization research tasks it can also be used for other tasks including the study of news coverage about the COVID-19 pandemic. A script to reconstruct and expand the dataset is available at https://github.com/LIAAD/tls-covid19. The article itself is available at this link: https://link.springer.com/chapter/10.1007/978-3-030-72113-8_33 ++ Submission Guidelines ++ We invite two kinds of submissions: * Full papers (up to 7 pages + references): Original and high-quality unpublished contributions on the theory and practical aspects of the narrative extraction task. Full-papers should introduce existing approaches, describe the methodology and the experiments conducted in detail. Negative result papers to highlight tested hypotheses that did not get the expected outcome are also welcomed. * Work in progress, demos and dissemination papers (up to 4 pages + references): unpublished short papers describing work in progress; demo and resource papers presenting research/industrial prototypes, datasets or software packages; position papers introducing a new point of view, a research vision or a reasoned opinion on the workshop topics; and dissemination papers describing project ideas, ongoing research lines, case studies or summarized versions of previously published papers in high-quality conferences/journals that is worthwhile sharing with the Text2Story community, but where novelty is not a fundamental issue. Submissions will be peer-reviewed by at least two members of the programme committee. The accepted papers will appear in the proceedings published at CEUR workshop proceedings (indexed in Scopus and DBLP) as long as they don't conflict with previous publication rights. ++ Workshop Format ++ Participants of accepted papers will be given 15 minutes for oral presentations. ++ Organizing committee ++ Ricardo Campos (INESC TEC; Ci2 - Smart Cities Research Center, Polytechnic Institute of Tomar, Tomar, Portugal) Alípio M. Jorge (INESC TEC; University of Porto, Portugal) Adam Jatowt (University of Innsbruck, Austria) Sumit Bhatia (Media and Data Science Research Lab, Adobe) Marina Litvak (Shamoon Academic College of Engineering, Israel) ++ Proceedings Chair ++ João Paulo Cordeiro (INESC TEC & Universidade da Beira do Interior) Conceição Rocha (INESC TEC) ++ Web and Dissemination Chair ++ Hugo Sousa (INESC TEC & University of Porto) Behrooz Mansouri (Rochester Institute of Technology) ++ Program Committee ++ Álvaro Figueira (INESC TEC & University of Porto) Andreas Spitz (University of Konstanz) Antoine Doucet (Université de La Rochelle) António Horta Branco (University of Lisbon) Arian Pasquali (CitizenLab) Bart Gajderowicz (University of Toronto) Begoña Altuna (Universidad del País Vasco) Brenda Santana (Federal University of Rio Grande do Sul) Bruno Martins (IST & INESC-ID, University of Lisbon) Daniel Loureiro (Cardiff University) Dennis Aumiller (Heidelberg University) Dhruv Gupta (Norwegian University of Science and Technology) Dyaa Albakour (Signal UK) Evelin Amorim (INESC TEC) Henrique Cardoso (INESC TEC & University of Porto) Ismail Altingovde (Middle East Technical University) João Paulo Cordeiro (INESC TEC & University of Beira Interior) Kiran Bandeli (Walmart Inc.) Luca Cagliero (Politecnico di Torino) Ludovic Moncla (INSA Lyon) Marc Finlayson (Florida International University) Marc Spaniol (Université de Caen Normandie) Moreno La Quatra (Politecnico di Torino) Nuno Guimarães (INESC TEC & University of Porto) Pablo Gamallo (University of Santiago de Compostela) Pablo Gervás (Universidad Complutense de Madrid) Paulo Quaresma (Universidade de Évora) Paul Rayson (Lancaster University) Raghav Jain (Indian Institute of Technology, Patna) Ross Purves (University of Zurich) Satya Almasian (Heidelberg University) Sérgio Nunes (INESC TEC & University of Porto) Simra Shahid (Adobe's Media and Data Science Research Lab) Sriharsh Bhyravajjula (University of Washington) Udo Kruschwitz (University of Regensburg) Veysel Kocaman (John Snow Labs & Leiden University) ++ Contacts ++ Website: https://text2story23.inesctec.pt For general inquiries regarding the workshop, reach the organizers at: text2story2023(a)easychair.org<mailto:text2story2023@easychair.org>

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Fully funded PhD studentships in NLP, Queen Mary University of London
by Matthew Purver 19 Dec '22

19 Dec '22

A number of funded PhD studentships in NLP/computational linguistics are available in the Computational Linguistics Lab in the School of Electronic Engineering and Computer Science at Queen Mary University of London, UK, for September 2023 entry. Studentships are available on a range of specified topics with particular supervisors. Funding conditions, length of studentship and eligibility vary with topic - please see the links in the list below for details. - Unsupervised text anonymisation using pre-trained language models: Dr Julia Ive <https://julia-ive.github.io/>, funded via CSC (see here) <http://eecs.qmul.ac.uk/phd/phd-studentships/csc-phd-studentships-in-electro…> . - Understanding word embeddings via their algebraic-topological structures: Dr. Haim Dubossarsky <https://scholar.google.com/citations?user=2EDsENQAAAAJ>, funded via CSC (see here) <http://eecs.qmul.ac.uk/phd/phd-studentships/csc-phd-studentships-in-electro…>. - Prompt-based learning for adaptive context-dependent NLP: Prof. Matthew Purver <http://www.eecs.qmul.ac.uk/~mpurver/>, funded via CSC (see here) <http://eecs.qmul.ac.uk/phd/phd-studentships/csc-phd-studentships-in-electro…> . - Evaluating and Learning with Disagreements: Prof. Massimo Poesio <http://www.massimopoesio.org/>, funded via CSC (see here) <http://eecs.qmul.ac.uk/phd/phd-studentships/csc-phd-studentships-in-electro…>. - Next-generation NLP methods for meaning change: Dr. Haim Dubossarsky <https://scholar.google.com/citations?user=2EDsENQAAAAJ>, funded via QMUL's Principal's fund (see here) <http://eecs.qmul.ac.uk/phd/phd-studentships/principal-and-epsrc-dtp-phd-stu…> . - Meaning coordination in dialogue: Prof. Matthew Purver <http://www.eecs.qmul.ac.uk/~mpurver/>, funded via EPSRC (see here) <http://eecs.qmul.ac.uk/phd/phd-studentships/principal-and-epsrc-dtp-phd-stu…> . More details on the topics and funding conditions are available from this page: http://eecs.qmul.ac.uk/phd/phd-studentships/ If you are interested, please get in touch with the relevant supervisor directly. Final applications are due by 31st January 2023. -- Matthew Purver - http://www.eecs.qmul.ac.uk/~mpurver/ Computational Linguistics Lab - http://compling.eecs.qmul.ac.uk/ Cognitive Science Research Group - http://cogsci.eecs.qmul.ac.uk/ School of Electronic Engineering and Computer Science Queen Mary University of London, London E1 4NS, UK *My working days for QMUL are Tuesday-Thursday; responses to mail on other days may be delayed.*

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Postdoctoral Research Associate LATIF project University of Liverpool
by Musi, Elena 18 Dec '22

18 Dec '22

At the University of Liverpool (Department of Communication and Media), we are hiring a Postdoctoral Research Associate in the frame of the project "Leveraging Argument Technology for impartial factchecking", funded by the Calouste Gulbenkian Foundation<https://www.linkedin.com/company/fcgulbenkian/> (European Media and Information Fund). For info about the project: For info about the project: https://gulbenkian.pt/emifund/projects/leveraging-argument-technology-for-i… Job spec available at: https://my.corehr.com/pls/ulivrecruit/erq_jobspec_version_4.display_form Please share with your communities! Thanks, All best Elena Musi Senior Lecturer (Associate Professor) University of Liverpool

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Release: six dialect corpora (Palestinian, Lebanese, Yemeni, Irqi, Libyan, and Sudanese)
by Mustafa Jarrar 18 Dec '22

18 Dec '22

Dear all, We are happy to release six corpora (1.3 Million tokens) with full morphological annotations for (Palestinian, Lebanese, Yemeni, Iraqi, Libyan, and Sudanese) dialects. All are annotated using the LDC’s SAMA tagsets. Search: https://portal.sina.birzeit.edu/curras Download: https://portal.sina.birzeit.edu/curras/about-en.html This video demonstrates how to search the corpora in Arabic/English. https://twitter.com/mjarrar/status/1604078695068598273 #arabic_language_day We are very happy to release 6 Arabic dialects corpora (1.3 million tokens, morphologically annotated): Curras(Palestinian), Baladi (Lebanese), Lisani (Yemeni, Irqi, Libyan, Sudanese) by @UN, @BirzeitU and @AUB_Lebanon. https://t.co/ZP3hqVSRWc Mustafa Jarrar twitter.com Best --Mustafa __________________________ Mustafa Jarrar, PhD Professor of Artificial Intelligence Chair, PhD Program in Computer Science Birzeit University, Palestine Whatsapp:+972599662258 | mjarrar(a)birzeit.edu http://www.jarrar.info

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Maknuune: The Open Palestinian Arabic Lexicon (v1.0)
by Nizar Habash 18 Dec '22

18 Dec '22

Dear all -- In celebration of Arabic Language Day (Dec 18), we are happy to announce the first release of Maknuune, the Open Source Palestinian Arabic Lexicon. www.palestine-lexicon.org Maknuune has over 36K entries from 17K lemmas, and 3.7K roots. All entries include diacritized Arabic orthography, phonological transcription and English glosses. Some entries are enriched with additional information such as broken plurals and templatic feminine forms, associated phrases and collocations, Standard Arabic glosses, and examples or notes on grammar, usage, or location of collected entry. We are honored to have received comments of endorsement from Profs. Noam Chomsky, Hamid Dabashi, Abdelkader Fassi Fehri, Clive Holes, Ilan Pappe, and Dr. Walid Saif. https://sites.google.com/nyu.edu/palestine-lexicon/endorsements -- Nizar Habash Professor of Computer Science New York University Abu Dhabi

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Fully funded PhD in NLP, London (QMUL)
by Haim Dubossarsky 16 Dec '22

16 Dec '22

A fully funded 4-year PhD position at the intersection of NLP and Topology is offered at Queen Mary University of London (QMUL), School of Electronic Engineering and Computer Science. It is part of the collaboration scheme between QMUL and the China Scholarship Council (CSC), and is therefore available for Chinese candidates only. The CSC scheme provides full tuition fee waiver and living stipend for 4 years, and requires (among other things) an English Language test (IELTS) from the last 2 years. You can read more about the scheme's requirements here <https://www.qmul.ac.uk/scholarships/items/china-scholarship-council-scholar…> . I am looking for brilliant candidates who hold (or about to hold) MSc in Computer Science with a strong NLP research background. Prospective students can learn more about the project here <http://eecs.qmul.ac.uk/phd/phd-studentships/csc-phd-studentships-in-electro…>, under the section: *Understanding neural representations via their algebraic-topological structures*. The PhD student will work in an interdisciplinary environment, and will be at the forefront of NLP research. If you are interested, please get in touch with me on: h.dubossarsky(a)qmul.ac.uk. Bests, Haim

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2024

2023

2022