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CFP: 16th BUCC Workshop with Shared Task on Terminology Extraction at RANLP 2023
by Reinhard Rapp 07 Jun '23

07 Jun '23

************************************************************** 16th Workshop on Building and Using Comparable Corpora (BUCC) with Shared Task on Multilingual Terminology Extraction from Comparable Specialized Corpora Co-located with RANLP 2023 September 7 or 8, 2023 Workshop website: https://comparable.limsi.fr/bucc2023/ Shared task website: https://comparable.limsi.fr/bucc2023/bucc2023-task.html RANLP website: http://ranlp.org/ranlp2023/ Workshop proceedings to be published in ACL Anthology ************************************************************** MOTIVATION In the language engineering and the linguistics communities, research in comparable corpora has been motivated by two main reasons. In language engineering, on the one hand, it is chiefly motivated by the need to use comparable corpora as training data for statistical NLP applications such as statistical and neural machine translation or cross-lingual retrieval. In linguistics, on the other hand, comparable corpora are of interest because they enable cross-language discoveries and comparisons. It is generally accepted in both communities that comparable corpora consist of documents that are comparable in content and form in various degrees and dimensions across several languages. Parallel corpora are on the one end of this spectrum, unrelated corpora on the other. Comparable corpora have been used in a range of applications, including Information Retrieval, Machine Translation, Cross-lingual text classification, etc. The linguistic definitions and observations related to comparable corpora can improve methods to mine such corpora for applications of statistical NLP, for example to extract parallel corpora from comparable corpora for neural MT. As such, it is of great interest to bring together builders and users of such corpora. TOPICS We solicit contributions on all topics related to comparable (and parallel) corpora, including but not limited to the following: Building Comparable Corpora: * Automatic and semi-automatic methods * Methods to mine parallel and non-parallel corpora from the web * Tools and criteria to evaluate the comparability of corpora * Parallel vs non-parallel corpora, monolingual corpora * Rare and minority languages, across language families * Multi-media/multi-modal comparable corpora Applications of comparable corpora: * Human translation * Language learning * Cross-language information retrieval & document categorization * Bilingual and multilingual projections * (Unsupervised) Machine translation * Writing assistance * Machine learning techniques using comparable corpora Mining from Comparable Corpora: * Cross-language distributional semantics, word embeddings and pre-trained multilingual transformer models * Extraction of parallel segments or paraphrases from comparable corpora * Methods to derive parallel from non-parallel corpora (e.g. to provide for low-resource languages in neural machine translation) * Extraction of bilingual and multilingual translations of single words, multi-word expressions, proper names, named entities, sentences, paraphrases etc. from comparable corpora * Induction of morphological, grammatical, and translation rules from comparable corpora * Induction of multilingual word classes from comparable corpora Comparable Corpora in the Humanities: * Comparing linguistic phenomena across languages in contrastive linguistics * Analyzing properties of translated language in translation studies * Studying language change over time in diachronic linguistics * Assigning texts to authors via authors' corpora in forensic linguistics * Comparing rhetorical features in discourse analysis * Studying cultural differences in sociolinguistics * Analyzing language universals in typological research IMPORTANT DATES July 18, 2023: Paper submission deadline July 31, 2021: Notification of acceptance August 25, 2021: Camera ready final papers September 7 or 8, 2023: Workshop date For updates see the workshop website at https://comparable.limsi.fr/bucc2023/ PRACTICAL INFORMATION Workshop registration is via the main conference registration site, see http://ranlp.org/ranlp2023/index.php/fees-registration/ The workshop proceedings will be published in the ACL Anthology. SUBMISSION GUIDELINES Please follow the style sheet and templates (for LaTeX, Overleaf and MS-Word) provided for the main conference at http://ranlp.org/ranlp2023/index.php/submissions/ Papers should be submitted as a PDF file using the START conference manager at https://softconf.com/ranlp23/BUCC/ Submissions must describe original and unpublished work and range from 4 to 8 pages plus unlimited references. Reviewing will be double blind, so the papers should not reveal the authors' identity. Accepted papers will be published in the workshop proceedings, which will be included in the ACL Anthology. Double submission policy: Parallel submission to other meetings or publications is possible but must be immediately (i.e. as soon as known to the authors) notified to the workshop organizers by e-mail. For further information and updates see the BUCC 2023 website: https://comparable.limsi.fr/bucc2023/ BUCC 2023 SHARED TASK Bilingual Term Alignment in Comparable Specialized Corpora The BUCC 2023 shared task is on multilingual terminology alignment in comparable corpora. Many research groups are working on this problem using a wide variety of approaches. However, as there is no standard way to measure the performance of the systems, the published results are not comparable and the pros and cons of the various approaches are not clear. The shared task aims at solving these problems by organizing a fair comparison of systems. This is accomplished by providing corpora and evaluation datasets for a number of language pairs and domains. Moreover, the importance of dealing with multi-word expressions in Natural Language Processing applications has been recognized for a long time. In particular, multi-word expressions pose serious challenges for machine translation systems because of their syntactic and semantic properties. Furthermore, multi-word expressions tend to be more frequent in domain-specific text, hence the need to handle them in tasks with specialized-domain corpora. Through the 2023 BUCC shared task, we seek to evaluate methods that detect pairs of terms that are translations of each other in two comparable corpora, with an emphasis on multi-word terms in specialized domains. For the schedule and further details see the shared task website at https://comparable.limsi.fr/bucc2023/bucc2023-task.html WORKSHOP ORGANIZERS * Reinhard Rapp (University of Mainz and Magdeburg-Stendal University of Applied Sciences, Germany) * Pierre Zweigenbaum (Université Paris-Saclay, CNRS, LISN, Orsay, France) * Serge Sharoff (University of Leeds, United Kingdom) Contact workshop: reinhardrapp (at) gmx (dot) de Contact shared task: pz (at) lisn (dot) fr

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SemDial 2023 - MariLogue: Final call for papers
by Andy Lücking 07 Jun '23

07 Jun '23

* Apologies for cross-posting * Call for papers: SemDial 2023 Submissions date: June 16th, 2023 Submissions website: https://easychair.org/conferences/?conf=semdial2023marilogue # CALL FOR PAPERS SemDial 2023 -- MariLogue The 27th Workshop on the Semantics and Pragmatics of Dialogue 16--17 August, University of Maribor, Slovenia https://mezzanine.um.si/en/conference/semdial-2023-marilogue/ MariLogue will be the 27th edition of the SemDial workshop series, which aims to bring together researchers working on the semantics and pragmatics of dialogue in fields such as formal semantics and pragmatics, computational linguistics, artificial intelligence, philosophy, psychology, and neuroscience. We welcome submissions with formal, computational and empirical approaches to the semantics and pragmatics of dialogue, including, but not limited to: * the dynamics of agents' information states in dialogue * common ground/mutual belief * goals, intentions and commitments in communication * turn-taking and interaction control * semantic/pragmatic interpretation in dialogue * dialogue and discourse structure * categorisation of dialogue phenomena in corpora * child-adult interaction * language learning through dialogue * gesture, gaze, and intonational meaning in communication * multimodal dialogue * interpretation and reasoning in spoken dialogue systems * dialogue management * designing and evaluating dialogue systems * modelling miscommunication, disfluency and repair * dialogue/interaction studies from a psychological perspective * neuroscience of dialogue * Interactivist approaches to dialogue * animal communication # SUBMISSION INSTRUCTIONS: Long papers: Authors should submit an anonymous paper of at most 8 pages of content (up to 2 additional pages are allowed for references). Short papers: Authors should submit a non-anonymized paper of at most 2 pages of content (up to 1 additional page allowed for references). Submission to this track can be non-archival on request. Submissions should be pdf files and use the LaTeX (https://2023.aclweb.org/downloads/acl2023.zip) or Word (https://2023.aclweb.org/downloads/acl2023.docx) templates provided for ACL 2023 submissions. The LaTeX template is readily available on Overleaf (https://www.overleaf.com/latex/templates/acl-2023-proceedings-template/qjdg…). Concurrent submission policy: Papers that have been or will be submitted to other meetings or publications must provide this information, using a footnote on the title page of the submissions. SemDial 2023 cannot accept work for publication or presentation that will be (or has been) published elsewhere. Submission is electronic, using the EasyChair conference management system at our Easychair submission site (https://easychair.org/conferences/?conf=semdial2023marilogue). # IMPORTANT DATES: Note: All deadlines are 11:59PM UTC-12:00 ("anywhere on Earth"). * Long paper submissions due: June 16th, 2023 * Notification: July 14th, 2023 * Short paper submissions due: July 21st, 2023 * Final versions due: August 4th, 2023 * Registration Deadline for presenters/refund deadline: August 4th, 2023 * MariLogue Conference: August 16th--17th, 2023

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Call for Shared Task Participation: Collecting and Geocoding Armed Clash Events in Russian Ukrainian Conflict at CASE @ RANLP 2023
by ali hürriyetoglu 07 Jun '23

07 Jun '23

CASE-2023 Shared Task - Task 2: Collecting and Geocoding Armed Clash Events in Russo-Ukrainian Conflict ================================================ The unprecedented quantity of easily accessible data on social, political, and economic processes offers ground-breaking potential in guiding data-driven analysis of socio political phenomena: Armed conflicts, political movements, fights for economic and social rights, and various related socio-political happenings are reported in news articles and social media posts and recorded in curated databases. On the other hand, automatic event detection from texts and event geocoding has long been a challenge for the natural language processing (NLP) community. It requires sophisticated methods and resources, such as Machine Learning models, linguistic rules and dictionaries, geographic gazetteers. Task definition The task Collecting and Geocoding Armed Clash Events in Russo-Ukrainian Conflict is being held as a sub-task of the 6th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2023). The task will use data from the Russo-Ukrainian Conflict to test the capabilities of event detection systems to extract, geocode and de-duplicate armed clashes in news and social media postsл Evaluation will be based on the correlation between the spatio-temporal distribution and number of the extracted events and those which are in the ground truth data set. We invite contributions from researchers in NLP, ML, Deep Learning, and AI. The call is directed also towards socio-political scientists, researchers in conflict analysis and forecasting, peace studies, and computational social science. All participating teams will be able to publish their system description paper in the workshop proceedings published by ACL. For more information on the workshop, please visit the Workshop website https://emw.ku.edu.tr/case-2023/ <https://emw.ku.edu.tr/case-2022/> and the conference website https://ranlp.org/ranlp2023/. ================================================ 1. Data Gold Standard and Text Input Data for the participant systems for the time range 24.02.2022-24.08.2022 has been prepared and will be shared with the applicants on the Task website. 1.1 Training Data No training data are provided for this Task. The data utilized for CASE 2023 Task 1, which is described in Hürriyetoğlu, A. et al. (2022, 2020b), can be used for training systems for this task (Task 2). Additionally data can be used to build systems/models that can detect protest events in tweets and news articles. 1.2 Input Data The participant systems will be evaluated on raw data collections including Telegram messages, the New York Times and Ukrainian-Russian official news channels. Namely, the data collections comprise: • English language social media massage and news corpus comprising. 48.007 Telegram Messages and The New York Times News about Ukraine. • Ukrainian language social media collection comprising 102.135 Telegram Messages and Ukraine News Agency News. • Russian language social media collection comprising 8.534 Telegram Message and Russian News Agency News Further details on the text collections and sampling methods are provided in the folders news and Social Media of the github repo for the Task ( https://github.com/zavavan/case2023_task2). 1.3 Gold Standard Data The Russo-Ukrainian Conflict ground truth data primarily consists of data coming from the Armed Conflict Location & Event Data Project (ACLED). We will be adding alternative ground-truth datasets in order to prevent the bias that may be introduced by using a single definition and interpretation of an event. Full details on the manually curated data used as Gold Standard for the correlation analysis will be disclosed at the end of the evaluation period. Please check documentation on the folder gold_standard of the Task github repo. ================================================ 1. Evaluation The systems which participate in this shared task will be required to detect news articles and Telegram posts which contain description of ongoing armed clashes. The time and place of each armed clash should be detected at date level (regarding the time) and precise geographic coordinates (latitude and longitude). The systems should ideally extract event times, based on multiple text reports. In order to evaluate the ability of automatic event-coders to reproduce the gold standard armed clash event dataset, we adapt two correlation methods originally used in micro-level analysis of political violence by Hammond and Weidmann (2014), based on aggregation of event counts uniform grid geographical cells and 1-day time spans and apply a number of standard correlation coefficients and error measures. For each of the input text corpora in1.2, each participant may submit up to 3 different system responses. Each system response will consist of a csv file with the following naming pattern: “submission.<team-name>.<corpus>.<response-number>.csv” where <corpus> is either “social_media” or “news”. For instance: “submission.MyTeam.news.3.csv” for the 3rd submission of team “MyTeam” on the news corpus. Each system response file will have one line per event, where each line will have the following format: <id>,<City>,<Region>,<Country>,<Date> where <id> is a numerical event identifier, <City>,<Region>,<Country> are canonical English names of the City,State/Region and Country, respectively, of the detected event location. While only the <country> attribute is mandatory, systems are expected to assign a description of the event location at the finest grained level possible, as otherwise geographical coordinate conversion may penalize the correlation score on geographical cell aggregation. <Date> is the assigned date of the event in the format YYYY-MM-DD. A sample system response file line: 0,Kharkiv,Kharkiv Oblast,Ukraine,2022-05-02 A sample system output file can be downloaded from the Task repo at: https://github.com/zavavan/case2023_task2/blob/main/submission.myteam.news.… Important Dates (AoE time) ================================================ It is optional to use Task 1 systems. Participants may also use their own systems, which are developed independently of Task 1. Task 1 Training data available: May 1, 2023 Task 1 Test data available: May 15, 2023 Task 1 Evaluation period ends: June 30, 2023 Task 2 Sample Text archive is available: May 22, 2023 Task 2 Text archive for evaluation is available: July 1, 2023 Task 2 Evaluation period starts: July 1, 2023 Task 2 Evaluation period ends: July 24 System Description Paper submissions due: July 31, 2023 Notification to authors after review: August 7, 2023 Camera ready: August 25, 2023 Workshop period @ RANLP: Sep 7-8, 2023 Organization ================================================ - Hristo Tanev (Joint Research Centre (JRC), European Commission, Italy) - Onur Uca, Sociology (Sociology, Mersin University, Turkey) - Vanni Zavarella (University of Cagliari, Italy) - Ali Hürriyetoğlu (KNAW Humanities Cluster DHLab, the Netherlands) Please contact the organizers at hristo.tanev(a)ec.europa.eu or onuruca(a)mersin.edu.tr for your questions. 5.References Jesse Hammond and Nils B Weidmann. Using machine-coded event data for the micro-level study of political violence. Research & Politics, 1(2):2053168014539924, 2014. Hürriyetoğlu, A., Mutlu, O., Duruşan, F., Uca, O,. Gürel, A.,S., Radford, B., Dai, Y., Hettiarachchi, H., Stoehr, N., Nomoto, T., Slavcheva, M., Vargas, F., Javid, A., Beyhan, F., Yörük, E. (2022). Extended Multilingual Protest News Detection Shared Task1,CASE2021 and 2022. arXiv preprint arXiv:2211.11360. Url: https://arxiv.org/abs/2211.11360 Hürriyetoğlu, A., Yörük, E., Yüret, D., Mutlu, O., Yoltar, Ç., Duruşan, F., & Gürel, B. (2020b). Cross-context news corpus for protest events related knowledge base construction. arXiv preprint arXiv:2008.00351. In Automated Knowledge Base Construction (AKBC). URL: https://www.akbc.ws/2020/papers/7NZkNhLCjp

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Fwd: Call for Shared Task Participation: Event Causality Identification with Causal News Corpus at CASE @ RANLP 2023
by ali hürriyetoglu 07 Jun '23

07 Jun '23

*Competition Website: * https://codalab.lisn.upsaclay.fr/competitions/11784 *FIRST CALL FOR PARTICIPATION* *CASE-2023 Shared Task: Event Causality Identification with Causal News Corpus* *================================================* We invite you to participate in the CASE-2023 Shared Task: Event Causality Identification with Causal News Corpus. The task is being held as part of the 6th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2023). All participating teams will be able to publish their system description paper in the workshop proceedings published by ACL. Workshop Website: https://emw.ku.edu.tr/case-2023/ <https://emw.ku.edu.tr/case-2022/> *Motivation* *================================================* 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 3,767 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 subtasks 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. *Task Overview* *================================================* We focused on two subtasks relevant to Event Causality Identification: - *Subtask 1: Causal Event Classification – *Does an event sentence contain any cause-effect meaning? - *Subtask 2: Cause-Effect-Signal Span Detection – *Which consecutive spans correspond to cause, effect or signal per causal sentence? - *Subtask 2.1: Cause-Effect Span Detection –* This subtask identifies the spans corresponding to cause and effect per sentence. - *Subtask 2.2: Signal Span Detection –* This subtask identifies the spans corresponding to the signal, or causal connective, per cause and effect relation. Participants may design solutions that work on a single, multiple or all subtasks concurrently. Participants are also allowed to combine Subtask 1 and 2 annotations for either task. However, the target labels of development and test sets should not be introduced during training in their set up in any way (E.g. even for data augmentation). This is the second iteration of this shared task. The leaderboard from last year is available at https://codalab.lisn.upsaclay.fr/competitions/2299. There are changes for both Subtask 1 and 2 data: - Added more data. Also revised annotations from previous launch - Changed traditional P, R, F1 calculations to use FairEval calculations instead *Data Content* *================================================* Our work extends a prior socio-political news corpus to annotate if event-containing sentences have causal relations or not. Our data sizes and splits are described as follows: - *Subtask 1: Causal Event Classification --* 869 news documents and 3,767 English sentences were annotated with labels on whether it contains causal relations or not. The current data splits are: 3,075 training, 340 development, 352 test. - *Subtask 2: Cause-Effect-Signal Span Detection – *Positive causal sentences from Subtask 1 were retained and annotated with Cause-Effect-Signal spans. We annotated 1,982 sentences with 2,754 causal relations. There can be multiple relations per sentence. The data splits for causal relations are: 2,257 training, 249 development, 248 test. Task Repository:* https://github.com/tanfiona/CausalNewsCorpus <https://github.com/tanfiona/CausalNewsCorpus>* Codalab Site: https://codalab.lisn.upsaclay.fr/competitions/11784 *Important Dates* *================================================* Training & Validation data available: May 01, 2023 Test data available: Jun 15, 2023 Test start: Jun 15, 2023 Test end: Jun 30, 2023 System Description Paper submissions due: Jul 10, 2023 Notification to authors after review: Aug 05, 2023 Camera ready: Aug 25, 2023 Workshop period @ RANLP: Sep 7-8, 2023 *Organization* *================================================* - Fiona Anting Tan, Institute of Data Science/ National University of Singapore, Singapore, tan.f(a)u.nus.edu - Ali Hürriyetoğlu, Koc University, Turkey, ahurriyetoglu(a)ku.edu.tr - Tommaso Caselli, Rijksuniversiteit Groningen, Netherlands, t.caselli(a)rug.nl - Nelleke Oostdijk, Radboud University, nelleke.oostdijk(a)ru.nl - Tadashi Nomoto, National Institute of Japanese Literature, Japan, nomoto(a)acm.org - Onur Uca, Mersin University, onuruca(a)mersin.edu.tr - Iqra Ameer, Centro de Investigación en Computación/ Instituto Politécnico Nacional, Mexico, iqra(a)nlp.cic.ipn.mx - Hansi Hettiarachchi, Birmingham City University, United Kingdom, hansi.hettiarachchi(a)mail.bcu.ac.uk - Farhana Ferdousi Liza, University of East Anglia, United Kingdom, f.liza(a)uea.ac.uk - Tiancheng Hu, ETH Zürich, Switzerland, tianhu(a)ethz.ch Please contact the organizer at tan.f(a)u.nus.edu with your title starting with “CNC ST”, or post questions at the Forum page in Codalab. *** You are receiving this email because you took part in this competition last year. ***

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Call for Workshop Papers and Shared Task Participation: Automated Extraction of Socio-political Events from Text - CASE @ RANLP 2023
by ali hürriyetoglu 07 Jun '23

07 Jun '23

Call for workshop papers and Shared Task participation: the 6th workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text - CASE @ RANLP 2023 ************************************************************************************ URL: https://emw.ku.edu.tr/case-2023/ Paper submission deadline: 10 July 2023 Paper acceptance notification: 5 August 2023 Paper camera-ready: 25 August 2023 Workshop dates: 7-8 September 2023 Dates and deadlines for the shared task are below. Softconf page of the workshop: https://softconf.com/ranlp23/CASE/ ************************************************************************************ 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 socio-political event data. This includes (but is not limited to) the following topics 1) Extracting events and their arguments such as time and location in and beyond a sentence or document, event coreference resolution. 2) Research in NLP technologies in relation to event detection: geocoding, temporal reasoning, argument structure detection, syntactic and semantic analysis of event structures, text classification, for event type detection, learning event-related lexica, event co-reference resolution, fake news analysis, and others with a focus on real or potential event detection applications. 3) New datasets, training data collection, and annotation for event information. 4) Event-event relations, e.g., subevents, main events, spatio-temporal relations, causal relations. 5) Event dataset evaluation in light of reliability and validity metrics. 6) Defining, populating, and facilitating event schemas and ontologies. 7) Automated tools and pipelines for event collection related tasks. 8) Lexical, syntactic, semantic, discursive, and pragmatic aspects of event manifestation. 9) Methodologies for development, evaluation, and analysis of event datasets. 10) Applications of event databases, e.g. early warning, conflict prediction, policymaking. 11) Estimating what is missing in event datasets using internal and external information. 12) Detection of new and emerging SPE types, e.g. creative protests. 13) Release of new event datasets. 14) Bias and fairness of the sources and event datasets. 15) Ethics, misinformation, privacy, and fairness concerns pertaining to event datasets. 16) Copyright issues on event dataset creation, dissemination, and sharing. 17) Cross-lingual, multilingual and multimodal aspects in event analysis. 18) Resources and approaches related to contentious politics around climate change. **** Shared tasks **** Please check the workshop page and Github repositories of the respective task for additional details. Task 1 - Multilingual protest news detection: The performance of an automated system depends on the target event type as it may be broad or potentially the event trigger(s) can be ambiguous. The context of the trigger occurrence may need to be handled as well. For instance, the ‘protest’ event type may be synonymous with ‘demonstration’ or not in a specific context. Moreover, hypothetical cases such as future protest plans may need to be excluded from the results. Finally, the relevance of a protest depends on the actors as in a contentious political event only citizen-led events are in the scope. This challenge becomes even harder in a cross-lingual and zero-shot setting in case training data are not available in new languages. We tackle the task in four steps and hope state-of-the-art approaches will yield optimal results. Contact person: Ali Hürriyetoğlu (ali.hurriyetoglu(a)gmail.com) Github: https://github.com/emerging-welfare/case-2022-multilingual-event Task 2 - Collecting and Geocoding Armed Clash Events in Russian Ukrainian Conflict: There is a mismatch between the event information collected between automated and manual approaches. We aim at identifying similarities and differences between the results of these paradigms for creating event datasets. The participants of Task 1 will be invited to run the systems they will develop to tackle Task 1 on a text archive. Participation in Task 1 is not a precondition to participate in Task 2. Contact person: Hristo Tanev (htanev(a)gmail.com) and Onur Uca ( onuruca(a)mersin.edu.tr) Github: https://github.com/zavavan/case2023_task2 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 in studying event causality in news, and therefore, introduce the Causal News Corpus. The Causal News Corpus consists of 3,767 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 subtasks 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 Task 4 - Multimodal Hate Speech Event Detection: Hate speech detection is one of the most important aspects of event identification during political events like invasions. In the case of hate speech detection, the event is the occurrence of hate speech, the entity is the target of the hate speech, and the relationship is the connection between the two. Since multimodal content is widely prevalent across the internet, the detection of hate speech in text-embedded images is very important. Given a text-embedded image, this task aims to automatically identify the hate speech and its targets. This task will have two subtasks. Contact person: Surendrabikram Thapa (surendrabikram(a)vt.edu) Github: https://github.com/therealthapa/case2023_task4 **** Deadlines for the Shared tasks **** ** Task 1, 3, 4: Training & Validation data available: May 1, 2023 Test data available: Jun 15, 2023 Test start: Jun 15, 2023 Test end: Jun 30, 2023 System Description Paper submissions due: Jul 10, 2023 Notification to authors after review: Aug 5, 2023 Camera ready: Aug 25, 2023 ** Task 2: Sample Text archive is available: May 22, 2023 Text archive for evaluation is available: July 1, 2023 Evaluation period starts: July 1, 2023 Evaluation period ends: July 24, 2023 System Description Paper submissions due: July 31, 2023 Notification to authors after review: August 7, 2023 Camera ready: August 25, 2023 *** Keynotes *** We will continue our tradition of inviting keynote speakers from both social and computational sciences. The social science keynote will be delivered by Erdem Yörük with the title “Using Automated Text Processing to Understand Social Movements and Human Behaviour” and the computational ones will be delivered by Ruslan Mitkov and Kiril Simov. Please see the workshop webpage (https://emw.ku.edu.tr/case-2023/) for additional details.

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Faculty Position - Translation Studies and English language
by Gemma Boleda 06 Jun '23

06 Jun '23

The Department of Translation and Language Sciences <https://www.upf.edu/en/dtcl> of Universitat Pompeu Fabra <https://www.upf.edu/> (Barcelona) is seeking to fill a tenure-track *faculty position <https://apply.interfolio.com/125314> *in the area of *Translation Studies and English Language*. Duties include research and knowledge transfer, teaching, and administrative service. Research areas associated with the position: - Technological applications and innovation for language learning and translator training, including but not limited to resources and applications for classroom use, corpora resources, writing assistants, intelligent tutoring systems, digital dictionaries and/or educational data mining; - Communicative skills for transferring research outcomes to the academic community as well as society at large. Application *deadline*: July 8 2023 More information: https://apply.interfolio.com/125314 Gemma Boleda Universitat Pompeu Fabra / ICREA https://gboleda.github.io

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CLIN33 final call for abstracts, deadline June 15th
by Jens Lemmens 06 Jun '23

06 Jun '23

Dear colleague, This is the final call for abstracts for CLIN33, which will be held in Antwerp (Belgium), September 22nd 2023. We accept abstracts describing work on any aspect of computational linguistics / natural language processing (finished or in progress). Submissions must be written in English and submitted through this web form<https://docs.google.com/forms/d/e/1FAIpQLSf912QGdJYjgsuSRqqJ6uaLqYLhVXtW-ZP…> by June 15th 2023. Notifications of acceptance will be sent out on July 15th 2023 and authors of accepted abstracts will have the opportunity to submit a full paper after the conference to CLIN Journal. Those who are interested in participating in this year's shared task can find more information on the dedicated shared task website<https://sites.google.com/view/shared-task-clin33/home>. Registrations<https://forms.uantwerpen.be/en/faclw/registration-clin33/> for the event are open and have to be completed before September 5th 2023. For more info, please visit the CLIN33 website: https://clin33.uantwerpen.be/ We are looking forward to welcoming you! The CLIN33 organizers CLiPS University of Antwerp

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Lectures on Language Technology and Society
by Christian Hardmeier 06 Jun '23

06 Jun '23

We are delighted to invite you to an afternoon of public lectures on language technology and its interaction with society. The lectures will take place in Auditorium 4 at the IT University of Copenhagen on 13 June 2023, from 14:30 to 16:45 (UTC+2). Attendance is free for anyone interested. The lectures will also be streamed on Zoom. For remote participation, please register here: https://itucph.zoom.us/meeting/register/u5Utf-Chrz0sHNYzd76DD9WjJpOU0CckVsMb Speakers and titles: - Luca Maria Aiello, IT University of Copenhagen: The Language of Coordination - Shashi Narayan, Google London: Introducing Text-blueprint: Conditional generation with question-answering plans - Anne Lauscher, University of Hamburg: Ethical conversational AI - Searching for the truth? Abstracts and further information can be found here: https://christianhardmeier.rax.ch/workshop/langtech-society-2023/ -- Christian Hardmeier, Associate Professor – https://christianhardmeier.rax.ch/ IT University of Copenhagen, Department of Computer Science

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CoCo4MT Shared Task: First Call for Participation
by Katharina Kann 06 Jun '23

06 Jun '23

CoCo4MT Shared Task: First Call for Participation We are excited to introduce a new shared task for this year’s CoCo4MT workshop! Our aim is to encourage and facilitate research on corpus construction for low-resource machine translation. Corpus creation for machine translation is typically constrained by the cost and availability of human translators. When a new dataset needs to be created for a low-resource language or a specialized domain, the annotation budget should be used efficiently and any sentences chosen for translation should be of high quality and as useful for machine translation system training as possible. In this shared task, we ask participants to come up with ways in which such examples can be identified for a target language without any existing data. Specifically, given a parallel corpus between high-resource languages, the goal is to choose a good subset of the high-resource corpus to be translated into the low-resource language, in order to obtain a good training set for a machine translation system. The shared task winner will be the team whose instances result in the best final system after training. Detailed information: https://sites.google.com/view/coco4mt/shared-task Registration: https://forms.gle/jfKSPQMKEmaaXFHy5 Important Dates - May 19 2023: Release of train, dev and test data - May 30 2023: Release of baselines - July 12, 2023: Deadline to submit results - July 20, 2023: System description papers due Organizers (listed alphabetically) - Ananya Ganesh, University of Colorado Boulder - Constantine Lignos, Brandeis University - John E. Ortega, Northeastern University - Jonne Sälevä, Brandeis University - Katharina Kann, University of Colorado Boulder - Marine Carpuat, University of Maryland - Rodolfo Zevallos, Universitat Pompeu Fabra - Shabnam Tafreshi, University of Maryland - William Chen, Carnegie Mellon University -- Dr. Katharina Kann Assistant Professor of Computer Science University of Colorado Boulder Personal page: https://kelina.github.io Group page: https://nala-cub.github.io

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CFP: ML/NLP Competition on Automatic Classification of Literary Epochs (CoLiE)
by Marina Litvak 05 Jun '23

05 Jun '23

================================================== *CFP: ML/NLP Competition on Automatic Classification of Literary Epochs (CoLiE)* To advance the field of implicit temporal information retrieval from a text, this competition aims to challenge participants to develop automatic methods to identify the literary epochs of a given text, which is considered here as an implicit temporal context of a book. The task on Automatic Classification of Literary Epochs (CoLiE) aims at automatic identification of the literary epoch of a given text from its writing style: (1) Romanticism (1798-1837), (2) Victorian Literature (1837-1901), (3) Modernism (1900-1945), (4) Postmodernism (1945-2000), and (5) our days (from 2000). The competition is held as a part of the IACT’23 <https://en.sce.ac.il/news/iact23> workshop, held on July 27, 2023, in conjunction with the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval This competition is open to anyone with a passion for information retrieval, machine learning, and natural language processing. Whether you are a seasoned expert or a newcomer to the field, we welcome you to participate and extend the boundaries of automated text analysis! Competition site: http://www.kaggle.com/competitions/colie Competition Timeline - May 28, 2023: The competition is open to participants. Training and validation sets together with their labels are available. - July 10, 2023: Test dataset available. - July 17, 2023, 23:59 UTC: Final submission deadline. - July 27, 2023: The winners are announced at the special session at the IACT'23 <https://en.sce.ac.il/news/iact23> workshop. *The organizing team* - Dr. Marina Litvak (marinal(a)ac.sce.ac.il), Software Engineering Department, Shamoon College of Engineering, Beer Sheva, 84100, Israel - Dr. Irina Rabaev (irinar(a)ac.sce.ac.il), Software Engineering Department, Shamoon College of Engineering, Beer Sheva, 84100, Israel - Prof. Ricardo Campos (ricardo.campos(a)ipt.pt), Ci2 - Smart Cities Research Center, Polytechnic Institute of Tomar INESC TEC, Porto Porto, Portugal - Prof. Alípio Mário Jorge (amjorge(a)fc.up.pt) University of Porto Porto, Portugal - Prof. Adam Jatowt (adam.jatowt(a)uibk.ac.at) University of Innsbruck, Innsbruck, Austria - Mr. Vladimir Younkin (vladiyo(a)ac.sce.ac.il), Software Engineering Department, Shamoon College of Engineering, Beer Sheva, 84100, Israel -- Best regards, Marina Litvak

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