- Corpora - ELRA lists

3-year PhD position in Computational Models of Semantic Memory and its Acquisition (Inria and University of Lille, France)
by Pascal Denis 05 Jul '22

05 Jul '22

Hello, Could you please distribute the following job offer? Thanks. Best, Pascal ------------------------------------------------------------------------------------- 3-year PhD position in Computational Models of Semantic Memory and its Acquisition (Inria and University of Lille, France) We invite applications for a 3-year PhD position at the University of Lille in the context of the recently funded research project "COMANCHE" (Computational Models of Lexical Meaning and Change). The position is funded by Inria, the French national research institute in Computer Science and Applied Mathematics. COMANCHE proposes to transfer and adapt neural word embeddings algorithms to model the acquisition and evolution of word meaning, by comparing them with linguistic theories on language acquisition and language evolution. At the intersection between Natural Language Processing, psycholinguistics and historical linguistics, this project intends to validate or revise some of these theories, while also developing computational models that are less data hungry and computationally intensive as they exploit new inductive biases inspired by these disciplines. The first strand of the project, on which the successful candidate will work, focuses on the development of computational models of semantic memory and its acquisition. Two main research directions will be pursued. On the one hand, we will compare the structural properties associated to different semantic spaces derived from word embedding algorithms to those found in human semantic memory as reflected in behavioral data (such as typicality norms) as well as brain imaging data. The latter data will then used as additional supervision to inject more hierarchical structure into the learned semantic spaces. One the other hand, we intend to experiment with training regimes for word embedding algorithms that are closer to those of humans when they acquire language, controlling the quantity as well as the linguistic complexity of the inputs fed to the learning algorithms through the use of longitudinal and child directed speech corpora (e.g., CHILDES, Colaje). In both cases, both English and French data will be considered. The successful candidate holds a Master's degree in computational linguistics or computer science or cognitive science and has prior experience in word embedding models. Furthermore, the candidate will provide strong programming skills, expertise in machine learning approaches and is eager to work across languages. The position is affiliated with the MAGNET team at Inria, Lille [1] as well as with the SCALAB group at University of Lille [2] in an effort to strenghten collaborations between these two groups, and ultimately foster cross-fertilizations between Natural Language Processing and Psycholinguistics. Applications will be considered until the position is filled. However, you are encouraged to apply early as we shall start processing the applications as and when they are received. Applications, written in English or French, should include a brief cover letter with research interests and vision, a CV (including your contact address, work experience, publications), and contact information for at least 2 referees. Applications (and questions) should be sent to Angèle Brunellière (angele.brunelliere(a)univ-lille.fr) and Pascal Denis (pascal.denis(a)inria.fr). The starting date of the position is 1 October 2022 or soon thereafter, for a total of 3 full years. Best regards, Angèle Brunellière and Pascal Denis [1] https://team.inria.fr/magnet/ [2] https://scalab.univ-lille.fr/ -- Pascal ---- Pour une évaluation indépendante, transparente et rigoureuse ! Je soutiens la Commission d'Évaluation de l'Inria. ---- +++++++++++++++++++++++++++++++++++++++++++++++ Pascal Denis Equipe MAGNET, INRIA Lille Nord Europe Bâtiment B, Avenue Heloïse Parc scientifique de la Haute Borne 59650 Villeneuve d'Ascq Tel: ++33 3 59 35 87 24 Url: http://researchers.lille.inria.fr/~pdenis/ +++++++++++++++++++++++++++++++++++++++++++++++

1 0

CSIRO PhD Scholarship in NLP and Text Generation (First round application deadline: 8 July 2022)
by Wan, Stephen (Data61, Eveleigh) 05 Jul '22

05 Jul '22

Australia's publicly funded science organisation, the CSIRO, is offering a full PhD scholarship on the topic of: "Using AI and NLP to assist in scientific and technical document creation". Recent methods in artificial intelligence (AI) and natural language processing (NLP) have shown the tremendous potential of neural network language models for text generation. However, there are many areas that can still be improved through further research and development. These relate to issues such as: (1) the system-generated text is not factually consistent, with respect to the source documents, (2) inappropriate wording or style (e.g., formal vs informal) is present in the generated text, and (3) the coherence and overall readability of the passage is poor, even if the component sentences seem fluent. Working with text generation and document creation scenarios that utilise scientific and technical literature, the candidate will research solutions to problems like the ones described above. The candidate will draw on methods from NLP and user-centric approaches, noting that these AI methods often have the most impact when they consider the context of the user, or author, and the AI-collaborative scenario in which the generated text is being used. The successful candidate should have a passion for working with natural language data, an interest in linguistics, and a desire to research novel NLP algorithms and prepare new NLP data sets. Additional time to build up expertise in data science/machine learning/user-centered methods can be negotiated. For more details, please email Stephen.Wan(a)csiro.au, or apply at https://jobs.csiro.au/job/Sydney%2C-NSW-Data61-PhD-scholarships/900646900/ First round application deadline: 8 July 2022 Data61 PhD scholarships<https://jobs.csiro.au/job/Sydney%2C-NSW-Data61-PhD-scholarships/900646900/> Sydney, NSW Data61 PhD scholarships. Acknowledgement of Country CSIRO acknowledges the Traditional Owners of the land, sea and waters, of the area that we live and work on across Australia. jobs.csiro.au ---------------------------------------------------------- Dr Stephen Wan Team Leader, Senior Research Scientist | Language and Social Computing Team CSIRO's Data61 E stephen.wan(a)data61.csiro.au T +61 2 93724703 W http://people.csiro.au/W/S/Stephen-Wan.aspx www.data61.csiro.au

1 0

New NLP Special Issue
by Florentina Hristea 04 Jul '22

04 Jul '22

Special Issue: Current Trends in Natural Language Processing (NLP) and Human Language Technology (HLT) MATHEMATICS NEW IMPACT FACTOR 2.592 An Open Access Journal by MDPI link: https://www.mdpi.com/journal/mathematics Guest Editor: * Florentina Hristea, University of Bucharest Deadline for manuscript submissions: April 23, 2023 (Please note that this deadline will not be extended.) Message from the Guest Editor and Special Issue Web page: https://www.mdpi.com/si/mathematics/NLP_HLT A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors<https://www.mdpi.com/journal/mathematics/instructions> page. For further information and questions, please contact: Florentina Hristea University of Bucharest fhristea(a)fmi.unibuc.ro<mailto:fhristea@fmi.unibuc.ro> https://cs.unibuc.ro/~fhristea/

1 0

[CFP] Special Issue on "Information Extraction and Language Discourse Processing" of Journal Information (ISSN 2078-2489)
by Jennifer D'Souza 04 Jul '22

04 Jul '22

Dear colleagues and friends, *We invite submissions to a special issue on "Information Extraction and Language Discourse Processing" of journal Information <https://www.mdpi.com/journal/information> (ISSN 2078-2489).* *Special Issue Information* This Special Issue seeks novel research reports on the spectrum that blends information extraction and language discourse processing research in diverse communities. The editors welcome submissions along various dimensions derived from the nature of the extraction task, the advanced neural techniques used for extraction, the variety of input resources exploited, and the type of output produced. Quantitative, qualitative, and mixed methods studies are welcome, as are case studies and experience reports if they describe an impactful application at a scale that delivers useful lessons to the journal readership. Topics of interest include (but are not limited to): - Knowledge base population with discourse-centric information extraction (IE) - Coreference resolution and its impact on discourse-centric IE - Relationship extraction leveraging linguistic discourse - Template filling - Impact of pragmatics or rhetorics on information extraction - Discourse-centric IE at scale - Intelligent and novel assessment models of discourse-centric IE - Survey of discourse-centric IE in natural language processing (NLP) - Challenges implementing discourse-centric IE in real-world scenarios - Modeling domains using discourse-centric IE - Human–AI hybrid systems for learning discourse and IE *Submission Instructions* https://www.mdpi.com/journal/information/special_issues/WYS02U2GTD *Deadline for manuscript submissions* Submissions to the SI will be accepted and published on a rolling basis until the close of the issue on 10 December 2022 Yours cordially, Dr. Jennifer D'Souza Prof. Dr. Chengzhi Zhang *Guest Editors*

1 0

Final CfP: Onto4FAIR Workshop at SEMANTICS 2022
by Cassia TROJAHN 04 Jul '22

04 Jul '22

** With apologies for multiple posting ** -------------- Onto4FAIR Workshop at SEMANTICS 2022 -------------- 1st Workshop on Ontologies for FAIR and FAIR Ontologies (Onto4FAIR) in conjunction with SEMANTiCS 2022, Vienna, Austria Website: https://onto4fair.github.io -------------- Important dates -------------- - July 04, 2022 (11:59 pm, Hawaii time): Submission deadline - July 30, 2022 (11:59 pm, Hawaii time): Notification of acceptance - August 15, 2022 (11:59 pm, Hawaii time): Camera-ready version - September 13, 2022: Workshop The workshop is planned to take place physically in Vienna, Austria. https://2022-eu.semantics.cc/venue -------------- Presentation -------------- Making the huge and diverse kinds of data produced by researchers, data stewards, and service providers, fully reusable and understood requires specific efforts. The Findable, Accessible, Interoperable and Reusable (FAIR) principles were laborated to address these issues, describing a set of requirements for data reusability and interoperability. These principles have been gaining increasing attention in a range of different areas and applications, including in the industrial area. A key aspect in making data FAIR is the ability of machines to automatically find, access, interoperate, and reuse data with none or minimal human intervention. For that, the ability of properly and semantically describing data is essential. The workshop has the following main goals: - to bring together leaders from academia, industry and user institutions to discuss the adoption of FAIR principles in real-world requirements. - to serve to inform industry and user representatives about existing research efforts that may meet their requirements. - to investigate how the FAIR principles are supported by the use of schemes, vocabulaires, and ontologies that ideally are themselves FAIR.%, including creation, reuse and alignment of schemas, vocabularies and ontologies, to support the FAIR principles and their adoption in diverse areas of application. - to discuss the challenges and perspectives in adopting FAIR principles. -------------- Workshop topics -------------- The topics of interest include, but are not limited to, the following: - schemes, ontologies and vocabulaires for FAIR data and metadata; - domain and cross-domain ontologies for FAIR data; - making vocabularies and ontologies FAIR; - alignment of schemes, vocabulaires and ontologies for FAIR; - data management for FAIR data; - best practices for implementing the FAIR principles; - FAIRification process and use cases; - metrics for FAIRness assessment; - provenance in FAIR environments; - FAIR principles and open science; - FAIR principles and linked open data; - FAIR in industry, scientific communities (life science, digital humanities, health, smart cities, etc.). -------------- Submissions -------------- - Full research papers: 12 pages (including references). - Short papers: 6 pages (including references). Please submit your contribution on EasyChair (https://easychair.org/conferences/?conf=onto4fair). Submissions must be in PDF, formatted in the style of LNCS conference proceedings. The workshop proceedings will be published in the CEUR-WS.org online proceedings. -------------- Workshop Chairs -------------- - Luiz Olavo Bonino da Silva Santos, University of Twente and Leiden University Medical Center, the Netherlands - Giancarlo Guizzardi, Free University of Bozen-Bolzano, Italy & University of Twente, the Netherlands - Clement Jonquet, French National Research Institute for Agriculture, Food and Environment, Mathematics, Informatics and STatistics for Environment and Agronomy research unit, Montpellier, France - Cassia Trojahn, Institut de Recherche en Informatique de Toulouse, France -------------- Program Committee -------------- (to be completed) Joao Paulo Almeida, Federal University of Espirito Santo Emna Amdouni, Université de Lyon 2 Nathalie Aussenac-Gilles, IRIT CNRS Maria Luiza Campos, PPGI - IM/NCE - Federal University of Rio de Janeiro Daniel Garijo, Universidad Politécnica de Madrid Nicolas Matentzoglu, Semanticly Ltd María Poveda-Villalón, Universidad Politécnica de Madrid Tiago Prince Sales, Free University of Bozen-Bolzano

1 0

[DEADLINE EXTENSION]: 5th Workshop on Computational Models of Reference, Anaphora and Coreference (CRAC 2022 at COLING)
by Maciej Ogrodniczuk 04 Jul '22

04 Jul '22

(apologies for cross-postings) <https://sites.google.com/view/crac2022/> CRAC 2022, the Fifth Workshop on Computational Models of Reference, Anaphora and Coreference, will be held at COLING 2022 <https://coling2022.org/> on October 16-17, in Gyeongju, Republic of Korea (in hybrid mode). Important dates (ALL NEW!) * Workshop papers due: Jul 25, 2022 * Notification of acceptance: Sep 1, 2022 * Camera-ready papers due: Sep 12, 2022 Topics We are interested in your work on any aspect of theoretical or applied computational work on anaphora/coreference resolution. Some topics to suggest: * coreference resolution for less-researched languages * annotation and interpretation of anaphoric relations, including relations other than identity coreference (e.g., bridging references) * investigation of difficult cases of anaphora and their resolution * coreference resolution in noisy data (e.g. in social media) * new applications of coreference resolution * <https://universalanaphora.github.io/UniversalAnaphora/> Universal Anaphora * CorefUD <https://ufal.mff.cuni.cz/corefud> Paper categories * Research papers (theoretical computational linguistics, empirical/data-driven approaches, paradigms/techniques/strategies, analysis papers, resources and evaluation, negative result) * Survey papers (surveys a popular or emerging area of anaphora/coreference resolution) * Position papers (presents one side of an arguable opinion about an issue) * Challenge papers (a challenge to the field in terms of setting out a goal for the next 5/10/20 years) * Demo papers (systems, tools, visualizations) * Extended abstracts (describe work in progress) Double submission We allow for double submissions. Please indicate during submission to which other conference or workshop your work has been submitted. We also invite authors of papers accepted to Findings of the main conferences (e.g. ACL, NAACL, EMNLP) to present their work at the workshop. It these papers were removed from the Findings, they can be included in the proceedings of the workshop without additional review. Submission link Please submit your paper to <https://www.google.com/url?q=https%3A%2F%2Fwww.softconf.com%2Fcoling2022%2F CRAC_2022%2F&sa=D&sntz=1&usg=AOvVaw1eoYlFaZ0v9DyVP1jMhKut> SoftConf. All submissions must follow <https://www.google.com/url?q=https%3A%2F%2Fcoling2022.org%2FSubmission&sa=D &sntz=1&usg=AOvVaw0Za00EvYPI0scFyYwQ3NkV> the COLING 2022 formatting instructions. Please find all other important information on the CRAC 2022 website <https://sites.google.com/view/crac2022/> . See you at CRAC 2022! Maciej Ogrodniczuk (on behalf of all organizers: Vincent Ng, Sameer Pradhan, Anna Nedoluzhko and Massimo Poesio)

1 0

ACRPS Programmer specialized in Arabic NLP/Data Science
by Fadi Zaraket 03 Jul '22

03 Jul '22

The *Arab center for researcg and policy studies, Doha Qatar, * is looking for a *programmer **specialized in **data sciences* to join an applied research unit. To apply or query about the position send an email with your CV and questions to: recruitment(a)dohainstitute.org The unit concerns* natural language processing *with applications to text in Arabic and its dialects and aims to serve applications in humanities, social, political, and economic studies. The unit develops technologies that serve digital Arabic knowledge. It aims to advance the state of the art, and further modern digital Arabic knowledge. The unit presents its results and outputs to help researchers and policy makers in the Arabic society understand and interact with the Arabic society across all its classes and sectors. In their role, the programmer will contribute fundamentally to the development of the capacities and resources that will empower such applications. Within their role, the programmer will develop techniques for analysis, inspection, and extraction of information from Arabic text originating from a variety of sources including social media. *Required skills and expertise:* 1. Developer with three years or more of programming experience in one or more programming languages (C++, Java, Python, Rust, R, …) 2. Three years or more of work in natural language processing (NLP) using modern technologies, packages and library APIs to interact with natural languages. 3. Solid knowledge in efficient algorithms to handle large data sets 4. Familiarity (at least) of use of elastic computing servers that provides computing services for data sciences and NLP such as Google Colabs, Amazon AWS, and Azure. 5. Experience in building websites and mobile applications to present the results of technologies developed at the unit. This includes frontend, backend, and database (sql/no-sql) expertise. 6. Good linguistic skills in Arabic that cover intermediary levels of morphology صرف, etymology اشتقاق, and dictation املاء 7. Basic knowledge and experience in statistical and machine learning and data sciences 8. Experience in data visualization for insights, graphs and information extracted from large data sets 9. Master’s degree in a computer science or engineering field or a bachelor’s degree with two years of experience. Focus or concentration on statistical inference or machine learning is a plus.

1 0

Last Call for Participation: LxGr2022
by Costas Gabrielatos 02 Jul '22

02 Jul '22

Last Call for Participation Symposium: Corpus Approaches to Lexicogrammar (LxGr2022) Registration closes on Thursday 7 July, 10am (BST). The symposium will take place online on Friday 8 & Saturday 9 July 2022. Programme: https://www.edgehill.ac.uk/departments/academic/englishhistorycreativewriti… Abstracts: https://www.academia.edu/82101749 and https://www.researchgate.net/publication/361490343 Registration (free): https://store.edgehill.ac.uk/conferences-and-events/conferences/conferences… For more information, contact the organiser, Costas Gabrielatos (gabrielc(a)edgehill.ac.uk<mailto:gabrielc@edgehill.ac.uk>). ________________________________ Edge Hill University<http://ehu.ac.uk/home/emailfooter> Modern University of the Year, The Times and Sunday Times Good University Guide 2022<http://ehu.ac.uk/tef/emailfooter> University of the Year, Educate North 2021/21 ________________________________ This message is private and confidential. If you have received this message in error, please notify the sender and remove it from your system. Any views or opinions presented are solely those of the author and do not necessarily represent those of Edge Hill or associated companies. Edge Hill University may monitor email traffic data and also the content of email for the purposes of security and business communications during staff absence.<http://ehu.ac.uk/itspolicies/emailfooter>

1 0

[CfP] Workshop on Deep Learning and Neural Approaches for Linguistic Linked Data 2 (DL4LD)
by Hugo Gonçalo Oliveira 02 Jul '22

02 Jul '22

Dear colleagues, the second edition of the Workshop on Deep Learning and Neural Approaches for Linguistic (Linked) Data (DL4LD) will be held in Vilnius, Lithuania & online on September 22, 2022, collocated with the conference on “LLOD approaches for language data research and management” ( http://llodapproaches2022.mruni.eu/). As a follow-up to the First Workshop on Deep Learning and Neural Approaches for Linguistic Data in 2021, this workshop aims at bringing together deep learning and neural approaches with Linguistic Linked Data. We invite research papers, application descriptions, system demonstrations, and position papers that discuss the interconnection of both areas. Relevant topics for the workshop include, but are not limited to, the following areas: * Deep Learning for Linguistic Linked (Open) Data, modeling, resources & interlinking * Deep Learning and LLOD in NLP * LLOD and Deep Learning for Digital Humanities * Enhancement of language models with structured linguistic data * Use cases combining language models and structured linguistic data Submissions in the form of extended abstracts will be published in an online book of abstracts. Important Dates: Submission deadline: 14 August 2022 Notification deadline: 28 August 2022 Camera ready version due: 4 September 2022 Workshop date: 22 September 2022 Submission guidelines: Submission type: extended abstracts Length: max. 2 pages including references Format: Springer Lecture Notes in Computer Science (LNCS); LaTeX, Overleaf, OpenDocument or MS Word Registration and participation: free of charge Submission link: https://easychair.org/my/conference?conf=nexuslinguarumdl2022 Optionally, extended versions of the abstracts can be submitted as full papers describing original research to the special issue of the Rasprave journal (subject to a separate peer review process; more information: http://llodapproaches2022.mruni.eu/?page_id=16, deadline: 1 December 2022) Scientific committee: Giedrė Valūnaitė-Oleškevičienė, Mykolas Romeris University Radovan Garabik, Ľ. Štúr Institute of Linguistics, Slovak Academy of Sciences Dagmar Gromann, University of Vienna Jorge Gracia, University of Zaragoza Hugo Gonçalo Oliveira, University of Coimbra Chaya Liebeskind, Jerusalem College of Technology Purificação Silvano, University of Porto Workshop webpage & more information: http://llodapproaches2022.mruni.eu/?page_id=239 Contact e-mail: dl4ld(a)juls.savba.sk

1 0

Call for Shared Task Participation: Multilingual Protest Event Detection, CASE @ EMNLP 2022
by ali hürriyetoglu 01 Jul '22

01 Jul '22

Apologies for cross posting. FIRST CALL FOR PARTICIPATION CASE-2022 Shared Task: Multilingual Protest Event Detection ================================================ We invite you to participate in the CASE-2022 Shared Task 1: Multilingual Protest Event Detection. The task is being held as part of the 5th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2022). This is a continuation of the shared task CASE 2021 Hürriyetoğlu et al. (2021) [1]. The training set is the same as CASE 2021. But the evaluation phase will include data from additional languages in CASE 2022. Please see the workshop website for further details: https://emw.ku.edu.tr/case-2022/ & Contact address: ali.hurriyetoglu(a)gmail.com Important Dates ================================================ Training data available: please follow instructions on the repository of the task: https://github.com/emerging-welfare/case-2022-multilingual-event. You will obtain the test data for CASE 2021 as well, with a Codalab page ( https://competitions.codalab.org/competitions/31639) available to obtain a score for your predictions. New test data available: September 15, 2022 Test end: September 25, 2022 System Description Paper submissions due: October 2, 2022 Notification to authors after review: Oct 09, 2022 Camera-ready: Oct 16, 2022 Workshop period @ EMNLP: Dec 7-8, 2022 Motivation ================================================ Event extraction has recently attracted a lot of attention in the NLP community, as well as among political and social scientists: It has emerged as a robust technology for identifying the most important information inside media streams. At the same time, it provides a basis for quantitative assessment of the political situation in the World. Event extraction has long been a challenge for the natural language processing (NLP) community as it requires sophisticated methods for detection and classification of events: machine learning, syntactic and semantic parsing, event ontologies, event co-reference resolution, acquisition of language resources, grammar learning, terminology learning, temporal and spatial reasoning, and other algorithmic approaches (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). Automation offers scholars not only the opportunity to improve existing practices, but also to vastly expand the scope of data that can be collected and studied, thus potentially opening up new research frontiers within the field of SPEs, such as politically-motivated violence and social movements. Automated approaches, however, suffer from major issues like bias, 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). SPEs are varied and nuanced. Both the political context and the local language used may affect whether and how they are reported. Therefore, all steps of information collection (event definition, language resources, and manual or algorithmic steps) may need to be constantly updated, leading to a series of challenging questions: Do events related to minority groups are represented well? Are new types of events covered? Are the event definitions and their operationalization comparable across systems? This workshop aims at finding answers to these questions as well. Inspiring innovative technological and scientific solutions for tackling these issues and quantifying the quality of the results. Task Overview ================================================ The task consists of four subtasks relevant to Event Causality Identification: Subtask 1: Document classification ⇒ Does a news article contain information about a past or ongoing event? Subtask 2: Sentence classification ⇒ Does a sentence contain information about a past or ongoing event? Subtask 3: Event sentence coreference identification ⇒ Which event sentences (subtask 2) are about the same event? Subtask 4: Event extraction ⇒ What is the event trigger and what are its arguments? Participants may design mono- or multilingual solutions that work on a single, multiple, or all subtasks concurrently. Participants are also allowed to combine annotations for either task. Additional datasets can be utilized for training or validation purposes. The systems developed for one or more of these subtasks will be invited to process a news archive to measure the correlation between automatically and manually created event datasets. This task will be referred as Task 2. Please see Guigni et al. (2021) for the similar task we performed last year. You can find the task repository at https://github.com/emerging-welfare/case-2022-multilingual-event, which contains sample data and scripts. Data ================================================ Training data: The training data we use for the Task 1 is the training data for CASE-2021 and consists of English, Portuguese, and Spanish news articles. Please find the detailed description of the data on Hürriyetoğlu et al. (2021), https://aclanthology.org/2021.case-1.11.pdf. Test data: There will be two test sets for Subtask 1. These are i) test data from CASE 2021, which is already available, and ii) new test data for CASE 2022 including new data both in existing and in new languages, e.g. Japanese, Urdu, Mandarin, and Turkish. The test data for subtasks 2, 3, and 4 will be the same as CASE 2021 test data for subtasks 2, 3, and 4 respectively. Evaluation ================================================ The F1-macro score on predictions for test data in each language will be calculated separately for Subtasks 1 and 2. The subtask 2 will be evaluated using F1-macro. Subtask 3 will be evaluated using scorch - a python implementation of CoNLL-2012 average score for the test data ( https://github.com/LoicGrobol/scorch). Finally, we will use CoNLL-03 evaluation script (https://github.com/sighsmile/conlleval) for subtask 4. The new test data for subtask 1 may be utilized to improve performance on these subtasks. The evaluation will be managed on a Codalab page. Participants will submit their scores and the highest performing submission will be used for ranking teams. There will be a limit on the number of submissions that can be performed. After the test deadline, an additional Codalab page will be set for additional scoring. Participation ================================================ Please send your team name and the participation form that is on https://github.com/emerging-welfare/case-2022-multilingual-event/blob/main/… to ali.hurriyetoglu(a)gmail.com. We will share the CASE-2021 data with you right away and notify you when the CASE-2022 evaluation data is ready. Publication ================================================ All participating teams will have the opportunity to submit their system description papers to be considered for publication in the workshop proceedings published by ACL Anthology. The papers should be submitted on http://softconf.com/emnlp2022/case2022. Organization ================================================ Ali Hürriyetoğlu, KNAW Humanities Cluster, DHLab, the Netherlands Erdem Yörük, Koc University, Turkey Hristo Tanev, European Commission, Joint Research Centre (EU JRC), Italy Osman Mutlu, Koc University, Turkey Vanni Zavarella, Italy Reyyan Yeniterzi, Sabanci University, Turkey Fatih Beyhan, Sabanci University, Turkey Francielle Vargas, University of São Paulo, Brazil Fırat Duruşan, Koc University, Turkey Yaoyao Dai, UNC Charlotte, United States Aaqib Javid, Koc University, Turkey Benjamin Radford, UNC Charlotte, United States Kalliopi Zervanou, Leiden University, the Netherlands Milena Slavcheva, Bulgarian Academy of Sciences, Bulgaria Niklas Stoehr, ETH Zurich, Switzerland Guillem Ramirez, ETH Zurich, Switzerland Shaina Raza, Public Health Ontario and University of Toronto, Canada Farhana Ferdousi Liza (University of East Anglia, United Kingdom Tadashi Nomoto, National Institute of Japanese Literature, Japan Alaeddin Selçuk Gürel, Huawei, Turkey YiJyun Lin, University of Arizona, U.S.A & National Taiwan University, Taiwan Tiancheng Hu, ETH Zürich, Switzerland Onur Uca, Mersin University, Turkey Fiona Anting Tan, Institute of Data Science, National University of Singapore, Singapore Hansi Hettiarachchi, Birmingham City University, United Kingdom References ================================================ [1] Giorgi, S., Zavarella, V., Tanev, H., Stefanovitch, N., Hwang, S., Hettiarachchi, H., ... & Hurriyetoglu, A. (2021, January). Discovering black lives matter events in the United States: Shared task 3, In Proceedings of the 4th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2021) (pp. 218-227). ASSOC COMPUTATIONAL LINGUISTICS-ACL. URL: https://aclanthology.org/2021.case-1.27/ [2] Hürriyetoğlu, A., Mutlu, O., Yörük, E., Liza, F. F., Kumar, R., & Ratan, S. (2021, August). Multilingual Protest News Detection - Shared Task 1, CASE 2021. In Proceedings of the 4th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2021) (pp. 79-91). URL: https://aclanthology.org/2021.case-1.11/

1 0

2024

2023

2022