- Corpora - ELRA lists

Deadline extension - Mediate 2023 ICWSM Workshop - Submit papers and talk proposals
by Elena Kochkina 28 Mar '23

28 Mar '23

Mediate 2023: Mediate - News Media and Computational Journalism Workshop co-located with ICWSM 2023 Limassol, Cyprus, June 5, 2023 https://digitalmediasig.github.io/Mediate2023/ Submission link: https://easychair.org/conferences/?conf=mediate2023 Papers and talk proposals due: April 3, 2023 The fourth MEDIATE workshop will be held on June 5, as part of the International AAAI Conference on Web and Social Media (ICWSM). The main goal of the workshop is to bring together media practitioners and technologists to discuss new opportunities and obstacles that arise in the modern era of information diffusion. This year's theme is: Misinformation: automated journalism, explainable and multi-modal verification and content moderation. Topics of interest include, but are not limited to: - Automated journalism: novel automated and human-in-the-loop solutions for rumour detection/verification, fact-checking, stance classification, evaluation of existing solutions and novel relevant applications. Submitted papers should describe how their advantages would lead to being adopted in practice by journalists and the public (e.g. improved generalisability, ability to provide explanations, reduced bias) and address ethical considerations. - Explainable and Multi-modal verification: explainable rumour verification systems, evidence-based solutions, uncertainty and prediction explainability and general interpretable and transparent AI-systems, as well as multi-modal rumour verification/fact-checking models, sources and data, non-textual and multi-modal features. - Content Moderation: novel content moderation systems for inhibiting misinformation spreading, domain-specific content moderation solutions as well as content moderation systems that showcase generalisability and are interpretable. We invite submissions of technical papers and talk proposals: - Technical papers must be up to 4 pages (short papers) or up to 8 pages (long papers). Technical papers must contain novel, previously-unpublished material related to the topics of the workshop. Accepted papers will be presented orally and will appear in the workshop proceedings. - Talk proposals must be up to 2 pages describing the content of a short talk (the actual length will be determined based on program constraints). Papers must adhere to the ICWSM guidelines ( https://www.icwsm.org/2023/index.html/call_for_submissions.html#guidelines) and be submitted through easychair ( https://easychair.org/conferences/?conf=mediate2023). Organizing committee Talia Tseriotou, Queen Mary University of London Dina Pisarevskaya, Queen Mary University of London Elena Kochkina, Alan Turing Institute Marya Bazzi, Alan Turing Institute & University of Warwick Maria Liakata, Alan Turing Institute & Queen Mary University of London Arkaitz Zubiaga, Queen Mary University of London All questions about submissions should be emailed to t.tseriotou(a)qmul.ac.uk<mailto:t.tseriotou@qmul.ac.uk>, d.pisarevskaya(a)qmul.ac.uk<mailto:d.pisarevskaya@qmul.ac.uk> and mbazzi(a)turing.ac.uk<mailto:mbazzi@turing.ac.uk>

1 0

Edge Hill Corpus Research Group: Registration
by Costas Gabrielatos 28 Mar '23

28 Mar '23

Edge Hill Corpus Research Group Next meeting: Thursday 30 March 2023, 2-4 pm (UK time) Topic: Corpus Tools and Corpus Processing Speaker: Mike Scott (Lexical Analysis Software & Aston University) Title: News Downloads and Text Coverage: Case Studies in Relevance Details: https://sites.edgehill.ac.uk/crg/next Registration closes tomorrow: https://store.edgehill.ac.uk/conferences-and-events/conferences/events/edge… If you have any questions, contact 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

1st CFP: MEDDOPLACE task on medical location extraction, normalization & toponym resolution (IberlEF/SEPLN 2023)
by Salvador Lima 27 Mar '23

27 Mar '23

(Apologies for cross-posting!) 1st CFP MEDDOPLACE Shared Task @ IberLEF/SEPLN2023 [Medical Documents PLAce-related Content Extraction] Info: - Web: https://temu.bsc.es/meddoplace/ - Registration: https://temu.bsc.es/meddoplace/registration - Data: https://zenodo.org/record/7707567 - Guidelines: https://zenodo.org/record/7775235 A. INTRODUCTION: Location information represents one of the most relevant types of entities for high impact practical NLP solutions, resulting in a variety of applications adapted to different languages, content types and text genres. Despite these previous efforts, the use, application, and exploitation of location-related entity detection (including sociodemographic information as well as more domain-specific things like clinical departments) from medical content was not sufficiently addressed. The performance of general purpose location NER systems applied on clinical texts is still poor, usually covering only general geolocation mentions, lacking sufficient granularity and not taking into account appropriate normalization or linking of the extracted locations to widely used geocoding resources, terminologies or vocabularies (like PlusCodes, GeoNames, or SNOMED CT concepts), thus hindering the practical exploitation of the generated results. To address these issues we organize the MEDDOPLACE shared task (part of the IberLEF/SEPLN2023 initiative) devoted to the recognition, normalization and classification of location and location-related concept mentions for high impact healthcare data mining scenarios. For this task we will release the MEDDOPLACE corpus, a large collection of clinical case reports written in Spanish that were exhaustively annotated manually by linguists and medical experts to label location-relevant entity mentions, following detailed annotation guidelines and entity linking procedures. The practical implications of this task include: - Patient management: The detection of locations, origin of patients, their language is relevant for healthcare safety, management, patient communication and appropriate treatment options. - Diagnosis & prognosis: Location information is important for the diagnosis or prognosis of some diseases that are more endemic to certain regions or particular geographical environments. - Health risk factors: Geolocation information can be a risk factor in case of exposure to radiation, work-related or environmental contaminants affecting patients health. - Mobility: Due to the increasing mobility of populations, detection of patients' travels and movements can improve early detection and tracing of infectious disease outbreaks, and thus enable taking preventive measurements. - Traceability: the detection of medical departments, facilities and services is critical to support the traceability of the patient’s route through the health services. The expected results as well as provided resources for this task show a clear multilingual adaptation potential and could have an impact beyond healthcare documents, being relevant for processing tourism-related content (traveling) or even legal texts. B. TASKS DESCRIPTION: The MEDDOPLACE task is structured into three subtracks: - MEDDOPLACE-NER: Given a collection of plain text documents, systems have to return the exact character offsets of all location and location-related mentions. - MEDDOPLACE-NORM: Given a collection of entities and their origin in text, systems have to normalize them to their corresponding GeoNames (Toponym Resolution), PlusCodes (POIs Toponym Resolution) and SNOMED CT (Entity Linking) concept, depending on entity type. - MEDDOPLACE-CLASS: Classification of detected location entities into four subcategories of clinical relevance (patient’s origin place; residence’s location; place where the patient has traveled to/from; place where the patient has received medical attention) Publications and IBERLEF/SEPLN2023 workshop Teams participating in MEDDOPLACE will be invited to contribute a systems description paper for the IberLEF (SEPLN 2023) Working Notes proceedings, and a short presentation of their approach at the IberLEF 2023 workshop. Tentative Schedule: - Train set: March 27th, 2023 - Test set release (start of evaluation period): April 3rd, 2023 - End of evaluation period (system submissions): May 10th, 2023 - Working papers submission: June 5th, 2023 - Notification of acceptance (peer-reviews): June 23rd, 2023 - Camera-ready system descriptions: July 6th, 2023 - IberLEF @ SEPLN 2023: September 27th-29th, 2023 Organizers: MEDDOPLACE is organized by the Barcelona Supercomputing Center’s NLP for Biomedical Information Analysis, as well as some external collaborators: - Martin Krallinger, Barcelona Supercomputing Center, Spain - Salvador Lima, Barcelona Supercomputing Center, Spain - Eulàlia Farré, Barcelona Supercomputing Center, Spain - Luis Gascó, Barcelona Supercomputing Center, Spain - Vicent Briva-Iglesias, D-REAL, Dublin City University, Ireland -- Salvador Lima Lopez RESEARCH ENGINEER Life Sciences - NLP for Biomedical Information Analysis, BSC-CNS Barcelona, Spain

1 0

BioNLP 2023 2nd CFP
by ddemner＠gmail.com 27 Mar '23

27 Mar '23

Dear all, Please consider submitting your work to BIONLP 2023 and Shared Tasks @ ACL 2023 aclweb.org/aclwiki/BioNLP_Workshop Important dates: April 24, 2023: Workshop Paper Due Date. Submission site: softconf.com/acl2023/BioNLP2023 May 29, 20232: Notification of Acceptance June 6, 2023: Camera-ready papers due June 12, 2023: Pre-recorded video due BioNLP 2023 Workshop at ACL, July 13, 2023, Toronto, Cana WORKSHOP OVERVIEW AND SCOPE The BioNLP workshop associated with the ACL SIGBIOMED special interest group has established itself as the primary venue for presenting foundational research in language processing for the biological and medical domains. The workshop is running every year since 2002 and continues getting stronger. BioNLP welcomes and encourages work on languages other than English, and inclusion and diversity. BioNLP truly encompasses the breadth of the domain and brings together researchers in bio- and clinical NLP from all over the world. The workshop will continue presenting work on a broad and interesting range of topics in NLP. The interest to biomedical language has broadened significantly due to the COVID-19 pandemic and continues to grow: as access to information becomes easier and more people generate and access health-related text, it becomes clearer that only language technologies can enable and support adequate use of the biomedical text. BioNLP 2023 will be particularly interested in language processing that supports DEIA (Diversity, Equity, Inclusion and Accessibility). The work on detection and mitigation of bias and misinformation continues to be of interest. Research in languages other than English, particularly, under-represented languages, and health disparities are always of interest to BioNLP. Other active areas of research include, but are not limited to: Tangible results of biomedical language processing applications; Entity identification and normalization (linking) for a broad range of semantic categories; Extraction of complex relations and events; Discourse analysis; Anaphora/coreference resolution; Text mining / Literature based discovery; Summarization; Τext simplification; Question Answering; Resources and strategies for system testing and evaluation; Infrastructures and pre-trained language models for biomedical NLP (Processing and annotation platforms); Development of synthetic data & data augmentation; Translating NLP research into practice; Getting reproducible results. Organizers Dina Demner-Fushman, US National Library of Medicine Kevin Bretonnel Cohen, University of Colorado School of Medicine Sophia Ananiadou, National Centre for Text Mining and University of Manchester, UK Jun-ichi Tsujii, National Institute of Advanced Industrial Science and Technology, Japan

1 0

Post-doc position in Multi-Dimensional Analysis
by Tony Berber-Sardinha 27 Mar '23

27 Mar '23

The Graduate Program in Applied Linguistics and Language Studies (LAEL) at the Pontifical Catholic University of Sao Paulo (PUCSP), Brazil, invites applications for a post-doctoral position in Multi-Dimensional Analysis. This position is part of a large international research project funded by FAPESP (Sao Paulo State Research Foundation), grant #2022/05848-7. The successful candidate will contribute to one or more major goals of the project, which include developing and improving innovative methodologies and resources for MD Analysis, describing register variation in diverse languages and domains using MD Analysis, and identifying discourse related to socially relevant issues in the contemporary world using MD Analysis. Candidates must possess a background in MD Analysis, statistical analysis, and computer programming. Additionally, proficiency in English is mandatory. The successful candidate may be required to supervise graduate students. A full-time commitment of 40 hours per week is expected. This is a temporary post-doctoral position for 24 months, and the stipend is BRL 8,479.20 per month. Please note that this position does not entail employment at PUCSP. Applications will be accepted until May 31, 2023, and should be submitted using the online form at https://www.jotform.com/build/230804143618956. Applications received through this form only will be considered. --- PONTIFÍCIA UNIVERSIDADE CATÓLICA DE SÃO PAULO -- PUC-SP PROGRAMA DE ESTUDOS PÓS-GRADUADOS EM LINGUÍSTICA APLICADA E ESTUDOS DA LINGUAGEM (LAEL) *** LAEL 53 ANOS *** (ele/o) Tony Berber Sardinha Vice-coordenador PPG em LAEL Coordenador CEPRIL Rua Monte Alegre 984, sala 4B02, São Paulo, SP 05014-901 Brazil Tel.: (11) 3670-8374 E-mail: tony(a)pucsp.br | www2.lael.pucsp.br --- Cláusula de Confidencialidade Esta mensagem é reservada e sua divulgação, distribuição, reprodução ou qualquer forma de uso é proibida e depende de prévia autorização desta instituição. O remetente utiliza o correio eletrônico no exercício do seu trabalho ou em razão dele, eximindo esta instituição de qualquer responsabilidade por utilização indevida. Se você recebeu esta mensagem por engano, favor eliminá-la imediatamente. This message is reserved and its disclosure, distribution, reproduction or any other form of use is prohibited and shall depend upon previous proper authorization. The sender uses the electronic mail in the exercise of his/her work or by virtue thereof, and the institution accepts no liability for its undue use. If you have received this e-mail by mistake, please delete it immediately.

1 0

Phd Position in applied AI / NLP / HMI at the University of Applied Sciences in Augsburg
by Alessandra Zarcone 27 Mar '23

27 Mar '23

1 PhD Position in applied AI / NLP / HMI at the Technische Hochschule Augsburg We invite applications for a fully funded PhD position at the University of Applied Sciences in Augsburg ("Hochschule Augsburg", recently "Technische Hochschule Augsburg", 100%, TV-L E13) in the field of applied AI / data-centered AI / uman-centered AI / applied NLP / human-machine interaction. The position is initially funded for one year as an orientation phase but an extension is possible and expected once the topic of the PhD has been decided. The University of Applied Sciences is an important center fueling innovation in the region and offers plenty of opportunities to collaborate with local companies to integrate the latest technologies in real use cases. We are committed to a collegial and family-friendly work environment and flexible working hours. You can find the call here: https://karriere.hs-augsburg.de/Wissenschaftlicher-Mitarbeiterin-mwd-mit-Pr… I am happy to answer questions about the position (a.zarcone(a)gmail.com or Alessandra.Zarcone(a)hs-augsburg.de). Best Alessandra

1 0

11 PhD Positions in NLP to combat desinformation and abusive language - MSCA Doctoral Network HYBRIDS
by Pablo Gamallo 27 Mar '23

27 Mar '23

* 11 PhD Positions in NLP to combat desinformation and abusive language - MSCA Doctoral Network HYBRIDS Join call: https://euraxess.ec.europa.eu/jobs/78878 Web: https://hybridsproject.eu/phd-projects/ The main scientific objective of HYBRIDS is to provide researchers with the knowledge necessary to design strategies and tools to respond to disinformation on the basis of a deep analysis of public discourse. There have been interesting advances in the automatic detection of disinformation by making use of natural language processing and new artificial intelligence techniques in the specific field of machine and deep learning. However, this is a very complex task that requires a high degree of natural language understanding, inference and reasoning. To improve the strategies to deal with disinformation and abusive language, HYBRIDS will integrate the structured knowledge provided by social and human sciences into natural language processing tools and deep learning algorithms, so as to develop new hybrid intelligence systems. The concept of Hybrid Intelligence consists of combining machine and human intelligence to overcome the shortcomings of existing artificial intelligence methods. The HYBRIDS Consortium is coordinated by the University of Santiago de Compostela and involves the following partner universities, research centres, non-profit organisations, and companies: University of Caen (UCAEN, France), University of Coruña (UDC, Spain), University of Evora (UEVORA, Portugal), Radboud University (RU, the Netherlands), Queen Mary University of London (QMUL, UK), Consejo Superior de Investigaciones Cientificas (CSIC, Spain), Fondazione Bruno Kessler (FBK, Italy), Gesis Leibniz Institute for Social Sciences (GESIS, Germany), Fondazione Openpolis ETS (OPENPOLIS, Italy), Fundación Universidad Empresa Gallega (FUEGA, Spain), Factoria de software e multimedia S.L. (IMAXIN, Spain), Industrieanlagen Betriebsgesellschaft MBH (IABG, Germany), and Newtral Media Audiovisual SL (NEWTRAL, Spain). The 11 doctoral candidates will be contracted by one of the partner institutions through which they will be enrolled in a doctoral programme. Each candidate will participate in secondments with other academic and non-academic partners and will be involved in network-wide training activities. ~

1 0

Deadline Extension @ Fourth Biennial Conference on Language, Data and Knowledge (LDK 2023)
by Fahad Khan 26 Mar '23

26 Mar '23

Due to several requests for an extension to the submission deadline we have decided to change the date of submissions for for the Fourth Biennial Conference on Language, Data and Knowledge (LDK 2023) to the 31st of March Dates: 12–13 September 2023 (Workshops/Tutorials), 14–15 September 2023 (Main Conference) Location: Vienna, Austria Website: http://2023.ldk-conf.org Submission Deadline: 31 March 2023 (revised, was previously 27 March 2023) Submission page: https://openreview.net/group?id=LDK/2023/Conference ============== We invite submissions to the fourth biennial conference on Language, Data and Knowledge (LDK 2023) to be held in Vienna, Austria in September 2023. This conference aims to bring together researchers from across different disciplines concerned with the acquisition, treatment, curation and use of language data in the context of data science and knowledge-based applications. This edition builds upon the success of the inaugural event held in Galway, Ireland in 2017, the second LDK in Leipzig, Germany in 2019, and the third LDK in Zaragoza, Spain in 2021. Invited speakers We are happy to announce Diana Maynard (University of Sheffield), Ruben Verborgh (Ghent University), and Ruth Wodak (Lancaster University/University of Vienna), as keynote speakers for LDK 2023. Paper submission We welcome submissions of relevance to the topics listed below. Submissions can be in the form of: Long papers: 9–12 pages; Short papers: 4–6 pages. All submission lengths are given including references. Accepted submissions will be published by ACL in an open-access conference proceedings volume, free of charge for authors. The ACL templates should therefore be used for all conference submissions. As the reviewing process is single-blind, submissions should not be anonymised. Papers should be submitted via OpenReview at the following address: https://openreview.net/group?id=LDK/2023/Conference All articles must represent original work: when submitted, the submission must not have been previously published*, and the material in it must not have been/be submitted for review at another journal or conference while under review at LDK 2023. *This excludes papers on preprint archives, such as arXiv, which we do not consider to have been previously published. The conference will be hybrid (face-to-face and remote). Note that at least one author of each accepted paper must register to present the paper at the conference (either remotely or on-site). There will be no registration fee administered for participating in LDK 2023. Presentation format Accepted submissions will be selected for oral or poster presentation based on recommendations from the reviewers. This decision will not reflect any difference in the quality of the papers, and there will be no distinction between oral and poster presentations in the published proceedings. Authors of accepted short papers or posters are welcome to present their work as a demo in addition to the regular presentation. Topics Relevant topics for the conference include, but are not limited to, the following fields: Language Data Language data construction and acquisition Language data annotation FAIR data practices for language data Language data portals and metadata about language data Organisational and infrastructural management of language data Multilingual, multimedia and multimodal language data Evaluation, provenance and quality of language data Visualisation of language data Standards and interoperability of language data Legal aspects of publishing language data Under-resourced languages e-Lexicography Semantic processing Knowledge Graphs Linguistic linked data and the multilingual semantic web Ontologies, terminologies, wordnets, framenets and related resources Information and knowledge extraction (taxonomy extraction, ontology learning) Data, information and knowledge integration across languages (cross-lingual) ontology alignment Entity linking and relatedness Linked data profiling Knowledge representation and reasoning Knowledge graphs for corpora processing and analysis Applications for Language, Data and Knowledge Question answering and semantic search Text analytics on big data NLP for language documentation and preservation Speech recognition and synthesis Spoken language processing Semantic content management Computer-aided language learning Natural language interfaces to big data Knowledge-based NLP Deep learning and machine learning for and on LLOD Other applications Use Cases in Language, Data and Knowledge Contributions are welcome where the topics above - and others within the scope of Language, Data and Knowledge - are applied to domain-specific use cases, including but not limited to: social sciences and humanities, legal, life sciences, FinTech, cybersecurity. Organising committee Conference Chairs Jorge Gracia – University of Zaragoza John P. McCrae – University of Galway Program Chairs: Sara Carvalho – University of Aveiro | NOVA CLUNL Anas Fahad Khan – Institute for Computational Linguistics “A. Zampolli” Workshop and Tutorial Chairs: Ana Ostroški Anić – Institute of Croatian Language and Linguistics Blerina Spahiu – University of Milano-Bicocca Local Organisers: Dagmar Gromann – University of Vienna Barbara Heinisch – University of Vienna Proceedings Chair: Ana Salgado – NOVA CLUNL | Lisbon Academy of Sciences Important Dates (Revised) 31 March 2023 New paper submission deadline 5 May 2023 Notification 2 June 2023 Camera-ready submission deadline 12–13 September 2023 Pre-conference events 14–15 September 2023 Main conference All deadlines refer to anywhere-on-earth time. Program Committee http://2023.ldk-conf.org/program-committee/ Workshops and tutorials You can check the list of accepted workshops and tutorials at http://2023.ldk-conf.org/workshops-tutorials/

1 0

Final call for papers: Explainable AI in Natural Language Processing
by Somnath Banerjee 25 Mar '23

25 Mar '23

Dear Colleagues, *** Apologies for cross-posting *** Call for papers: Explainable AI in Natural Language Processing Traditional Natural Language Processing (NLP) models (e.g., decision trees, Markov models, etc.) have primarily been based on techniques that are inherently interpretable models, referred to as white-box techniques. However, in recent years, NLP models have employed advanced neural approaches along with language embedding features. Using these advanced approaches, mostly referred to as black-box techniques, the NLP models have yielded state-of-art performance. Nonetheless, the level of interpretability (e.g., how the model arrives at its results) has reduced significantly. This obfuscated interpretability not only lowers the end users’ trust in the NLP models but also makes it challenging for the developers to debug or improve by analyzing the models for further improvement. Therefore, nowadays, researchers in the NLP community are giving significant attention to the emerging field called Explainable AI (XAI) to tackle the obfuscated complexity of AI systems for trust and improvement. Apart from academia, organizations and companies also have launched high-funding projects such as DARPA XAI, People +AI Research (PAIR), etc. As XAI is still a growing field, there is plenty of room for innovation to improve the explainability of NLP systems. In recent works, explainable NLP models have captured linguistic knowledge of neural networks, explain predictions, stress-test models via challenge sets or adversarial examples, and interpret language embeddings. The goal of this Research Topic is to better understand the present status of the XAI in NLP by identifying: new dimensions for a better explanation, evaluation techniques used to measure the quality of explanations, approaches or developments of new software toolkits to explain XAI in NLP, and transparent deep learning models for different NLP task. The scope of this Research Topic covers (but is not restricted to) the following topics: • Survey of XAI in NLP in general or any particular NLP task such as NER, QA, Sentiment analysis, social media (SocialNLP), etc. • Explainable Neural models in Machine Translation • Explainable Neural models in Named Entity Recognition • Explainable Neural models in Question Answering • Explainable Neural models in Sentiment Analysis • Explainable Neural models in Opinion Mining • Explainable Neural models in SocialNLP • Evaluation techniques used to measure the quality of explanations • Tools for explaining explainability • Resources related to XAI in the context of NLP The Research Topic welcomes contributions toward interpretable models for efficient solutions to NLP research problems that explain the explainability of the proposed model using suitable explainability technique(s) (e.g., example-driven, provenance, feature importance, induction, surrogate models, etc.), visualization technique(s) (e.g., raw examples, saliency, raw declarative, etc.), and other aspects. Software toolkits or approaches that can help users express explainability to their models and ML pipelines are also welcome. The full Call for Papers is available at https://www.frontiersin.org/research-topics/48440/explainable-ai-in-natural… Impact of the publication: https://www.frontiersin.org/about/impact * Manuscript Deadline: * 19 May 2023, This is a mandatory deadline for your full manuscript submission. Guest Editors: Somnath Banerjee (University of Tartu, somnath.banerjee(a)ut.ee) David Tomás (University of Alicante, dtomas(a)dlsi.ua.es) Somnath Banerjee Lecturer, Institute of Computer Science, University of Tartu, Narva mnt 18, 51009 Tartu, ESTONIA webpage: http://www.ut.ee//~somnath/

1 0

Call for Participation: LxMLS 2023 - 13th Lisbon Machine Learning School
by fernando.batista＠iscte-iul.pt 25 Mar '23

25 Mar '23

============================================================== Call for Participation LxMLS 2023 - 13th Lisbon Machine Learning School ============================================================== We invite everyone interested in Machine Learning and Natural Language Processing to attend the 13th Lisbon Machine Learning School - LxMLS 2023. Important Dates --------------- * Application Deadline: April 28, 2023 * Notification of Admission: May 12, 2023 * Early registration: May 12 - June 30, 2023 * Summer School: July 14 - 20, 2023 Topics and Intended Audience --------------- The school will cover a range of Machine Learning (ML) topics, from theory to practice, that are important in solving Natural Language Processing (NLP) problems that arise in the analysis and use of Web data. Our target audience is: * Researchers and graduate students in the fields of NLP and Computational Linguistics; * Computer scientists who have interests in statistics and machine learning; * Industry practitioners who desire a more in depth understanding of these subjects. Features of LxMLS: * No deep previous knowledge of ML or NLP is required, but the attendants are assumed to have some basic background on mathematics and programming; * Days are divided into morning lectures and afternoon lab sessions and practical talks (see schedule); * The Labs guide will be provided one month in advance. Last year's guide is available on the website. * The first day is scheduled to review basic concepts and introduce the necessary tools for implementation exercises * Both basic (e.g linear classifiers) and advanced topics (e.g. deep learning and transformers) will be covered * Welcome reception, Banquet, daily lunch as well as morning and afternoon coffee breaks are included in the application fee * Lecturers are leading researchers in machine learning and natural language processing List of Confirmed Speakers --------------- ADÈLE H. RIBEIRO Columbia University | USA ANDRÉ MARTINS University of Lisbon & Unbabel | Portugal BHIKSHA RAJ Carnegie Mellon University | USA DESMOND ELLIOTT University Of Copenhagen | Denmark KYUNGHYUN CHO New York University | USA MÁRIO FIGUEIREDO University of Lisbon & Instituto de Telecomunicações | Portugal NOAH SMITH University of Washington & Allen Institute for Artificial Intelligence | USA SARA HOOKER Cohere for AI | Canada SLAV PETROV Google Inc. | USA WILKER AZIZ University Of Amsterdam | Netherlands YEJIN CHOI University of Washington | USA Please visit our webpage for up-to-date information: http://lxmls.it.pt/2023/ Apply here: https://lisbonmls.wufoo.com/forms/application-form-lxmls-2023/ Any questions should be directed to: lxmls-2023(a)lx.it.pt We are looking forward to your participation! -- The organizers of LxMLS'2023.

1 0

2025

2024

2023

2022

Corpora