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[CfP] DLnLD: Deep Learning and Linked Data — LREC-COLING Workshop — Last CfP
by Gilles Sérasset 26 Mar '24

26 Mar '24

DLnLD: Deep Learning and Linked Data — Last Call for Paper Workshop colocated with LREC-COLING 2024, Date: May 21, 2024 Submissions due: 9th March 2024 Venue: Torino, Italy and online For up to date info, check: https://dl-n-ld.github.io/ <https://dl-n-ld.github.io/> Call for Papers ---------------------------------------------------------------------------------------- What does Linguistic Linked Data brings to Deep Learning and vice versa ? Let’s bring together these two complementary approaches in NLP. ---------------------------------------------------------------------------------------- Motivations for the Workshop Since the appearance of transformers (Vaswani et al., 2017), Deep Learning (DL) and neural approaches have brought a huge contribution to Natural Language Processing (NLP) either with highly specialized models for specific application or via Large Language Models (LLMs) (Devlin et al., 2019; Brown et al., 2020; Touvron et al., 2023) that are efficient few-shot learners for many NLP tasks. Such models usually build on huge web-scale data (raw multilingual corpora and annotated specialized, task related, corpora) that are now widely available on the Web. This approach has clearly shown many successes, but still suffers from several weaknesses, such as the cost/impact of training on raw data, biases, hallucinations, explainability, among others (Nah et al., 2023). The Linguistic Linked Open Data (LLOD) (Chiarcos et al., 2013) community aims at creating/distributing explicitly structured data (modelled as RDF graphs) and interlinking such data across languages. This collection of datasets, gathered inside the LLOD Cloud (Chiarcos et al., 2020), contains a huge amount of multilingual ontological (e.g. DBpedia (Lehmann et al., 2015)); lexical (e.g., DBnary (Sérasset, 2015), Wordnet (McCrae et al., 2014), Wikidata (Vrandečić and Krötzsch, 2014)); or linguistic (e.g., Universal Dependencies Treebank (Nivre et al., 2020; Chiarcos et al., 2021), DBpedia Abstract Corpus (Brümmer et al., 2016)) information, structured using common metadata (e.g., OntoLex (McCrae et al., 2017), NIF (Hellmann et al., 2013), etc.) and standardised data categories (e.g., lexinfo (Cimiano et al., 2011), OliA (Chiarcos and Sukhareva, 2015)). Both communities bring striking contributions that seem to be highly complementary. However, if knowledge (ontological) graphs are now routinely used in DL, there is still very few research studying the value of Linguistic/Lexical knowledge in the context of DL. We think that, today, there is a real opportunity to bring both communities together to take the best of both worlds. Indeed, with more and more work on Graph Neural Networks (Wu et al., 2023) and Embeddings on RDF graphs (Ristoski et al., 2019), there is more and more opportunity to apply DL techniques to build, interlink or enhance Linguistic Linked Open Datasets, to borrow data from the LLOD Cloud for enhancing Neural Models on NLP tasks, or to take the best of both worlds for specific NLP use cases. Submission Topics This workshop aims at gathering researchers that work on the interaction between DL and LLOD in order to discuss what each approach has to bring to the other. For this, we welcome contributions on original work involving some of the following (non exhaustive) topics: • Deep Learning for Linguistic Linked Data, among which (but not exclusively): • Modelling, Resources & Interlinking, • Relation Extraction • Corpus annotation • Ontology localization • Knowledge/Linguistic Graphs creation or expansion • Linguistic Linked Data for Deep Learning, among which (but not exclusively): • Linguistic/Knowledge Graphs as training data • Fine tuning LLMs using Linguistic Linked (meta)Data • Graph Neural Networks • Knowledge/Linguistic Graphs embeddings • LLOD for model explainability/sourcing • Neural models for under-resourced languages • Joint Deep Learning and Linguistic Data applications • Use cases combining Language Models and Structured Linguistic Data • LLOD and DL for Digital Humanities • Question-Answering on graph data All application domains (Digital Humanities, FinTech, Education, Linguistics, Cybersecurity…) as well as approaches (NLG, NLU, Data Extraction…) are welcome, provided that the work is based on the use of BOTH Deep Learning techniques and Linguistic Linked (meta)Data. Important Dates All deadlines are 11:59PM UTC-12:00 (“anywhere on Earth”) • Submissions due: 9th March 2024 (Hard deadline: there will be no deadline extension) • Notification of acceptance: 2nd April 2024 • Camera-ready due: 12th April 2024 Authors kit All papers must follow the LREC-COLING 2024 two-column format, using the supplied official style files. The templates can be downloaded from the Style Files and Formatting page provided on the website. Please do not modify these style files, nor should you use templates designed for other conferences. Submissions that do not conform to the required styles, including paper size, margin width, and font size restrictions, will be rejected without review. LREC-COLING 2024 Author’s Kit Page: https://lrec-coling-2024.org/authors-kit/ <https://lrec-coling-2024.org/authors-kit/> Paper submission Submission is electronic at https://softconf.com/lrec-coling2024/dlnld2024/ <https://softconf.com/lrec-coling2024/dlnld2024/> Workshop Chairs • Gilles Sérasset, Université Grenoble Alpes, France • Hugo Gonçalo Oliveira, University of Coimbra, Portugal • Giedre Valunaite Oleskeviciene, Mykolas Romeris University, Lithuania Program Committee • Mehwish Alam, Télécom Paris, Institut Polytechnique de Paris, France • Russa Biswas, Hasso Plattner Institute, Potsdam, Germany • Milana Bolatbek, Al-Farabi Kazakh National University, Kazakhstan • Michael Cochez, Vrije Universiteit Amsterdam, Netherlands • Milan Dojchinovski, Czech Technical University in Prague, Czech Republic • Basil Ell, University of Oslo, Norway • Robert Fuchs, University of Hamburg, Germany • Radovan Garabík, L’. Štúr Institute of Linguistics, Slovak Academy of Sciences, Slovakia • Daniela Gifu, Romanian Academy, Iasi branch & Alexandru Ioan Cuza University of Iasi, Romania • Katerina Gkirtzou, Athena Research Center, Maroussi, Greece • Jorge Gracia del Río, University of Zaragoza, Spain • Dagmar Gromann, University of Vienna, Austria • Dangis Gudelis, Mykolas Romeris University, Lithuania • Ilan Kernerman, Lexicala by K Dictionaries, Israel • Chaya Liebeskind, Jerusalem College of Technology, Israel • Marco C. Passarotti, Università Cattolica del Sacro Cuore, Milan, Italy • Heiko Paulheim, University of Mannheim, Germany • Alexandre Rademaker, IBM Research Brazil and EMAp/FGV, Brazil • Georg Rehm, DFKI GmbH, Berlin, Germany • Harald Sack, Karlsruhe Institute of Technology, Karlsruhe, Germany • Didier Schwab, Université Grenoble Alpes, France • Ranka Stanković, University of Belgrade, Serbia • Andon Tchechmedjiev, IMT Mines Alès, France • Dimitar Trajanov, Ss. Cyril and Methodius University – Skopje, Macedonia • Ciprian-Octavian Truică, POLITEHNICA Bucharest, Romania • Nicolas Turenne, Guangdong University of Foreign Studies, China • Slavko Žitnik, University of Ljubljana, Slovenia

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CLASSLA-Express Workshops on Using Corpora in Language Research in Croatia, Serbia, North Macedonia and Slovenia
by Taja Kuzman 26 Mar '24

26 Mar '24

** *Dear all,* * We are excited to extend an invitation to you for a series of five workshops designed to demonstrate the practical applications of the CLASSLA web corpora <https://arxiv.org/abs/2403.12721>in language research. The CLASSLA-Express workshops will take place from April to September 2024 in 4 countries and 5 cities: Croatia (Zagreb and Rijeka), Serbia (Belgrade), North Macedonia (Skopje) and Slovenia (Ljubljana). The workshops will provide hands-on experience in using the CLARIN.SI NoSketch Engine concordancer <https://www.clarin.si/ske/#open>to extract valuable insights on word meanings, usage, collocations, and grammatical patterns from Croatian <https://www.clarin.si/ske/#concordance?corpname=classlaweb_hr>, Macedonian <https://www.clarin.si/ske/#concordance?corpname=classlaweb_mk>, Serbian <https://www.clarin.si/ske/#concordance?corpname=classlaweb_sr>and Slovene <https://www.clarin.si/ske/#concordance?corpname=classlaweb_sl>corpora. The workshops are free of charge. The workshops are tailored for university students of South Slavic languages, linguists, lexicographers, language teachers, and digital humanities scholars. The registration is already open for the workshops in Zagreb, Rijeka and Belgrade! We will make sure to let you know when the registrations in Skopje and Ljubljana open as well. Here are the details of the workshops: * 19 April 2024 – CLASSLA-Express stop in Zagreb, Croatia (Faculty of Humanities and Social Sciences, University of Zagreb). Registration is open – register by filling this form <https://docs.google.com/forms/d/e/1FAIpQLSfVE3VVmBYeQzgZjZO2Om1cRQPCPbPnENp…>. More information about the programme and location is available here. <https://www.clarin.si/info/wp-content/uploads/2024/03/Poziv-na-radionicu-CL…> * 26 April 2024 – CLASSLA-Express stop in Rijeka, Croatia (Center for Language Research, Faculty of Humanities and Social Sciences, University of Rijeka). Registration is open – register by filling this form <https://docs.google.com/forms/d/e/1FAIpQLScWoarqWZQuLTaDGfVQYHpeXfKSlMNb_d2…>. More information about the programme and location is available here. <https://www.clarin.si/info/wp-content/uploads/2024/03/Poziv-na-radionicu-CL…> * 29 May 2024 – CLASSLA-Express stop in Belgrade, Serbia (International conference Leksikografski susreti, Faculty of Philology, University of Belgrade). Registration is open – register by filling this form <https://docs.google.com/forms/d/e/1FAIpQLScLpDUEmJnA43hEASWNWeuCe_3a01hPZLg…>. More information about the programme and location is available here. <https://www.clarin.si/info/wp-content/uploads/2024/03/Poziv-na-radionicu-CL…> * 4 June 2024 – CLASSLA-Express stop in Skopje, North Macedonia (Blaže Koneski Faculty of Philology, Ss. Cyril and Methodius University). Registration is not open yet – we will let you know when it opens. * 18 September 2024 – CLASSLA-Express stop in Ljubljana, Slovenia (Language Technologies & Digital Humanities Conference 2024, University of Ljubljana). Registration is not open yet – we will let you know when it opens. We warmly welcome you to join us at the nearest workshop location. For registration and further details, please visit https://www.clarin.si/info/k-centre/workshops/classla-express/ <https://www.clarin.si/info/k-centre/workshops/classla-express/> We would also like to kindly ask you to spread the word among researchers, students and other interested colleagues. Warm regards, The CLASSLA-Express team: Ivana Filipović Petrović, Jelena Parizoska, Taja Kuzman and Nikola Ljubešić *

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Survey on the appreciation of book reviews
by Chiara Alzetta 26 Mar '24

26 Mar '24

Dear Colleagues, We are researchers from the ItaliaNLP Lab (http://www.italianlp.it/) at the Institute of Computational Linguistics at the National Research Council in Pisa, Italy. We are conducting a study aimed at designing and developing solutions to promote the practice of leisure reading. Our activities are part of the research project "Letture Per Te - LETTERE" funded by the Region of Tuscany in the context of the "Regional Pact for Reading" (DGR 463/2019). We'd like to invite you to contribute to our research by taking part in a survey to collect data on the enjoyment of reviews written by amateur readers. We ask participants to rate some reviews of fiction books based on three parameters: informativeness, style and appreciation. Participation in the survey is voluntary and takes about 17 minutes. The only requirement for taking part in the survey is being *Italian native speakers*. Your answers will help us understand which aspects influence the liking of a novel review and what makes them more or less appealing. To involve a wide audience, we are spreading this invitation through this mailing list. Please share this e-mail with your colleagues who might be interested in participating. To fill out the survey, please follow this link: https://forms.gle/JmCcDwjYnf32p8Ns8 We thank you in advance for your help. Please do not hesitate to contact us if you have any questions about the survey. Best regards, Chiara Alzetta <chiara.alzetta(a)ilc.cnr.it> Alessio Miaschi <alessio.miaschi(a)ilc.cnr.it> Giulia Venturi <giulia.venturi(a)ilc.cnr.it>

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[CfP] 2nd CfP: SEMANTiCS 2024 EU || Sep 17 - 19, 2024 || Amsterdam, The Netherlands
by SEMANTiCS 26 Mar '24

26 Mar '24

==== SEMANTiCS - 20th International Conference on Semantic Systems Amsterdam, The Netherlands September 17 - 19, 2024 https://2024-eu.semantics.cc/ <https://2024-eu.semantics.cc/> ==== The Research and Innovation track at SEMANTiCS 2024 welcomes papers on novel scientific research and innovations relevant to the Semantic Web, Semantic Technologies, and semantic-enabled AI. We also welcome submissions at the intersection between this field and other scientific disciplines. Submissions should be original and should not have been published elsewhere in any form or language. Papers must adhere to the instructions given in the submission guidelines, including references and optional appendices. Each submission will receive at least three independent reviews and will be evaluated based on their novelty, technical quality, reproducibility, and practical significance. = Important Dates = * Abstract Submission Deadline: April 22, 2024 * Paper Submission Deadline: April 29, 2024 * Notification of Acceptance: June 11, 2024 * Camera-Ready Paper: July 09, 2024 All deadlines are set for 11:59 pm, Anywhere On Earth time (UTC-12) Submissions will be through Easychair. https://easychair.org/conferences/?conf=sem24 <https://easychair.org/conferences/?conf=sem24> Proceedings of SEMANTiCS 2024 EU will be made available open access. The publisher will be TIB Open Publishing. SEMANTiCS 2024 calls for submissions of excellent quality addressing the following topics in the Semantic Web area, from both theoretical and practical perspectives. = Topics of Interest = * Topics of interest include, but are not limited to: * Web Semantics & Linked (Open) Data * Enterprise Knowledge Graphs, Graph Data Management * Machine Learning Techniques for/using Knowledge Graphs (e.g. reinforcement learning, deep learning, data mining and knowledge discovery) * Interplay between generative AI and Knowledge Graphs (e.g., RAG approach) * Knowledge Management (e.g. acquisition, capture, extraction, authoring, integration, publication) * Terminology, Thesaurus & Ontology Management, Ontology engineering * Reasoning, Rules, and Policies * Natural Language Processing for/using Knowledge Graphs (e.g. entity linking and resolution using target knowledge such as Wikidata and DBpedia, foundation models) * Crowdsourcing for/using Knowledge Graphs * Data Quality Management and Assurance * Mathematical Foundation of Knowledge-aware AI * Multimodal Knowledge Graphs * Semantics in Data Science * Semantics in Blockchain environments * Trust, Data Privacy, and Security with Semantic Technologies * IoT, Stream Processing, dealing with temporal data * Conversational AI and Dialogue Systems * Provenance and Data Change Tracking * Semantic Interoperability (via mapping, crosswalks, standards, etc.) * Linked Data storage, triple stores, graph databases * Robust and scalable management, querying and analysis of semantics and data * User interfaces for the Semantic Web & its management * Explainable and Interoperable AI * Decentralised and Federated Knowledge Graphs (e.g., Federated querying, link traversal) Application of Semantically-Enriched and AI-Based Approaches, such as, but not limited to: * Knowledge Graphs in Bioinformatics, Medical AI and preventive healthcare * Clinical Use Case of semantic-enabled AI-based Approaches * AI for Environmental Challenges * Semantics in Scholarly Communication and Scientific Knowledge Graphs * AI and LOD within GLAM (galleries, libraries, archives, and museums) institutions * Knowledge Graphs & hybrid AI for predictive maintenance and Industry 4.0/5.0 * Digital Humanities and Cultural Heritage * LegalTech, AI Safety, EU AI Act * Economics of Data, Data Services, and Data Ecosystems = Author Guidelines and Submission = For Submission Guidelines and Review and Evaluation Criteria please head to the online call for papers: https://2024-eu.semantics.cc/page/cfp_rev_rep <https://2024-eu.semantics.cc/page/cfp_rev_rep> For details please go to: https://2024-eu.semantics.cc/ <https://2024-eu.semantics.cc/> We are looking forward to your contribution! Mehwish Alam, Femke Ongenae & Angelo Salatino Research and Innovation Track Chairs

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CFP: Multimodal & Generative QA in Dermatology (MEDIQA-MAGIC) @ImageCLEF 2024
by Asma Ben Abacha 25 Mar '24

25 Mar '24

Dear all, If you are interested in multimodal medical question answering, we are organizing the MEDIQA-MAGIC competition on answer generation from dermatology images @ CLEF 2024 <https://clef2024.imag.fr/>, Grenoble, France. The training and validation sets have been released: - *Website*: https://www.imageclef.org/2024/medical/mediqa - *Evaluation Platform*: https://ai4media-bench.aimultimedialab.ro/competitions/20/ If you have any questions, please email us at mediqa.organizers(a)gmail.com and join the MEDIQA mailing list for more updates: https://groups.google.com/g/mediqa-nlp MEDIQA <https://sites.google.com/view/mediqa2024> Organizers: - Asma Ben Abacha, Microsoft - Wen-wai Yim, Microsoft - Meliha Yetisgen, University of Washington - Fei Xia, University of Washington

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Quechua to Spanish Dialectal and Low-Resource Track at IWSLT 2024 @ ACL
by John Ortega 25 Mar '24

25 Mar '24

[Apologies for cross-posting] We need your help to preserve indigenous languages! Due to the overwhelming success of previous workshops like LoResMT and AmericasNLP we have decided to continue to push the needle for Quechua to Spanish translations. Please participate in the 2024 edition of the QUE-SPA speech translation shared task being held at IWSLT 2024. This low-resource task will help increase language preservation for low-resource languages. We invite advanced research and approaches of all types so bring your rule-based, statistical, neural, and more! IMPORTANT LINKS Dialectal and Low-resource webpage: https://iwslt.org/2024/low-resource Data webpage: https://github.com/Llamacha/IWSLT2024_Quechua_data Google Group: https://groups.google.com/g/iwslt-evaluation-campaign IWSLT conference webpage: https://iwslt.org/2024 HOW TO PARTICIPATE Please join the IWSLT Evaluation Campaign Google Group and access the registration using the following link: https://groups.google.com/g/iwslt-evaluation-campaign The QUE-SPA data set can be downloaded here: https://github.com/Llamacha/IWSLT2024_Quechua_data Task submissions can be uploaded to GitHub, please email the organizers for more details. Evaluation scripts based on BLEU are made available via the IWSLT 2024 website. IMPORTANT DATES Jan 15, 2024 Release of shared task training and dev data Apr 1-15, 2024 Evaluation period Apr 29, 2024 Paper submission deadline (all papers) June 4, 2024 Notification of acceptance June 24, 2024 Camera ready paper due July 22, 2024 Pre-recorded video due August 17-18, 2024 IWSLT conference ORGANIZING COMMITTEE John E. Ortega (Northeastern University) William Chen (Carnegie Mellon University) Rodolfo Zevallos (Universitat Pompeu Fabra) Ibrahim Said Ahmad (Northeastern University)

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Call for Workshop Papers - ReNeuIR Workshop @ SIGIR 2024
by Martin Potthast 25 Mar '24

25 Mar '24

We invite you to participate in the SIGIR 2024 Workshop on Reaching Efficiency in Neural Information Retrieval (ReNeuIR). The workshop aims to foster discussion and collaboration on holistic evaluation of methods in the age of neural information retrieval (NIR), noting that effectiveness matters but so does the computational cost incurred to achieve it. Specific areas of interest include (but are not limited to): - Novel Neural IR (NIR) models that reach competitive quality but are designed to provide fast training or fast inference; - Efficient NIR models for decentralized IR tasks such as conversational search; - Strategies to speed up training or inference of existing NIR models; - Sample-efficient training of NIR models; - Efficiency-driven distillation, pruning, quantization, retraining, and transfer learning; - Empirical investigation of the complexity of existing NIR models through an analysis of quality, interpretability, robustness, and environmental impact; and, - Evaluation protocols for efficiency in NIR. We accept both original submissions, as well as extensions or revisions to existing work. Papers can be submitted in two lengths – shorter poster submissions, and longer article submissions. Please see the website for more information: https://reneuir.org/cfp.html ------------------------------------------------------------------------------- Important Dates ------------------------------------------------------------------------------- May 15, 2024: Paper submission deadline June 7, 2024: Notification of acceptance for scientific papers July 18, 2024: Workshop (co-located with SIGIR 2024 in Washington) July 31, 2024: Final Proceedings Deadline (yes, after the conference) ------------------------------------------------------------------------------- Questions? Please contact us! reneuir2024(a)easychair.org Best regards, ReNeuIR team

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Call for Shared Task Participation - ReNeuIR Workshop @ SIGIR 2024
by Martin Potthast 25 Mar '24

25 Mar '24

We invite you to participate in the first shared task of the SIGIR 2024 Workshop on Reaching Efficiency in Neural Information Retrieval (ReNeuIR). The workshop aims to foster discussion and collaboration on the holistic evaluation of methods in the age of neural information retrieval (NIR), noting that effectiveness matters, but so does the computational cost incurred to achieve it. Shared Task Overview Our shared task aims to develop a more comprehensive understanding of the efficiency-vs-effectiveness landscape with the goal of promoting better metrics and deeper investigation into this area. It is based on the MS MARCO (version one) passage collection and focuses on batch processing an entire log of queries. We invite the community to submit either a source repository or a docker image of their approaches for cloud-based evaluation, and we provide detailed instructions/tutorials to assist with this process. Please see the website for more information: https://reneuir.org/shared_task.html ------------------------------------------------------------------------------- Important Dates ------------------------------------------------------------------------------- June 26, 2024: Shared task oral presentation deadline July 18, 2024: Workshop (co-located with SIGIR 2024 in Washington) July 31, 2024: Final Proceedings Deadline (yes, after the conference) ------------------------------------------------------------------------------- Questions? Please contact us! reneuir2024(a)easychair.org Best regards, ReNeuIR team

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Workshop on COuntering Disinformation with AI @ECAI: CFP (Deadline extended)
by Rajesh Sharma 25 Mar '24

25 Mar '24

Dear All, We invite paper submissions to the Workshop on COuntering Disinformation with AI (CODAI), which will take place on 20 October at ECAI 2024. *Website:* https://codai2024.github.io/ *Important dates* Submission deadline: 15th May 2024 Accept/Reject Communications: 1st July 2024 Camera-ready papers due: 22nd July 2024 Workshop date: 20 October 2024 All deadlines are 11:59 pm UTC-12 (“anywhere on earth”). *Overview* Social media platforms which have been designed primarily to allow users to create and share content with others, have become integral parts of modern communication, enabling people to connect with each other as well as for broadcasting information to a wider audience. On one side these platforms provide an opportunity to facilitate discussions in an open and free environment. On the flip side, new societal issues have started emerging on these platforms. Among all the issues, the topic of misinformation has been prevalent on these platforms. The term misinformation is an umbrella term which encompasses various entities such as fake news, hoaxes, rumors to name a few. While misinformation refers to non-intentional spread of non-authentic information, the term disinformation points to spreading of a piece of inauthentic information with certain malign intentions. *Topics* Areas of interest to include, but are not limited to, the following: - Information diffusion models for understanding and thwarting the spread of low-quality information; - Characterization and detection of coordinated inauthentic behavior; - Novel techniques for detecting malicious accounts (e.g., bots, cyborgs and trolls); - Information diffusion models for understanding and thwarting the spread of low-quality information; - Understanding and detection of disinformation; - Study, inference and detection of narratives in disinformation campaigns; - Impact/Harm of misinformation on society. - Case-studies on the spread and impact of fake news in controversial topics such as politics, health, climate change, economics, migration. - Social and psychological studies, or data analytics related to misinformation spreaders. - Metrics, tools and methods for measuring the impact of fake news and of coordinated inauthentic behaviors; - Datasets for evaluation. *Submission Link:* https://chairingtool.com/ *Submission Types* *Original submissions:* Submissions about unpublished ideas will be reviewed by a double-blind process and should be anonymous. *Transferred papers* In addition to regular paper submissions, we also consider accepting papers rejected from the main conference. Decisions about acceptance of these transferred papers will be based on the reviews of the ECAI PC. Accepted submissions will be presented at the workshop as oral presentations. *Format and styling* Submissions should be formatted according to the ECAI formatting instructions and not exceed 7 pages (plus 1 extra page for references). All submissions should use the ECAI 2024 template and formatting requirements specified by ECAI. Please send any questions about the workshop to codaihelp(a)gmail.com *Organisers* Rajesh Sharma, University of Tartu, Estonia Anselmo Peñas, Universidad Nacional de Educación a Distancia (UNED), Spain

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Senior Research Scientist (m/f/x/d) position offered by Genaios APPLICATION FORM
by ainhoa.avila＠genaios.ai 25 Mar '24

25 Mar '24

Dear list members, APPLY HERE: https://genaios.factorialhr.es/apply/senior-research-scientist-m-f-x-d-54945 LINK TO THE JOB AD: https://genaios.factorialhr.es/job_posting/senior-research-scientist-m-f-x-… I am thrilled to announce you an exciting opening at Genaios: we are now looking for a Senior Research Scientist (m/f/x/d) for our Research team in Valencia (Spain). In this position, you will play a key role in the team and will have the opportunity to participate and lead innovative projects in different NLP areas: fact-checking, text similarity analysis, plagiarism detection, opinion mining, author profiling, etc. Your work will attempt to improve the company's products and be aligned to customers needs. In addition, at Genaios we will also encourage you to explore new research ideas and to publish in blogs, forums, reputable research conferences and journals. Join our team and you will have the opportunity to work with NLP researchers and data scientists with an international background and an important research publication record. If you’re passionate about solving scientific problems and creating deep learning models using cutting edge technology, this is the role for you! Your job will be -Collaborate and lead the different research NLP projects -Mentor and support your junior colleagues on research-related matters -Designing and implementing machine and deep learning-based NLP workflows and algorithms in alignment with the business needs -Deliver scalable and maintainable solution using the latest cutting-edge technology -Identification and evaluation of strategic innovations (concepts, tools/languages, technologies, services) in the field of NLP and deep learning -Constant personal development in new technologies -Publish articles in blogs, forums, and prestigious NLP/AI conferences and journals -Represent the company in the research community Your profile -Bachelor’s degree in computer science, telecommunication technologies, or similar -Master’s degree in NLP, deep learning, or similar -+5 years experience as a researcher in NLP and deep learning-related tasks -Fluency in English -Experience in publishing research material -Advanced python programming skills -Experience in at least one of the following tasks: fact-checking, text similarity analysis, plagiarism detection, or author profiling -Advanced knowledge of one of the following technologies: keras, tensorflow, pytorch, or JAX -Experience with text classification, sequence labeling, model selection, evaluation and result analysis -Knowledge of the following technologies: git and docker -Knowledge of, and/or experience with API and web service development in python; agile methodologies; cloud computing solutions; cloud devops services (Azure, AWS, or Google cloud) -Respectfulness; teamwork skills; organizational and planning skills; leadership skills; communication skills; creativity; proactivity; problem solving; autonomy Preferred Skills and Experience -PhD in natural language processing, deep learning, or similar -+2 years experience as a researcher in industry -Experience mentoring and supervising research staff -Spanish language is a plus -Knowledge of the following technologies: kubernetes -Knowledge of multilingual and multi-task classification; adversarial architectures; online learning methodologies; model compression (pruning, quantization, distillation…) -Knowledge of the following technologies: bash, ssh, linux terminal, SQL, FastAPI, swagger, and NVIDIA Triton Inference Server About the interview process -The first interview will be with HR, to inform you about the position and determine your suitability for the role -The second interview will be with the Chief Scientific Officer (CSO), to share information about the team and talk about your past experience and skills -The final interview will be with the CSO and another Research colleague. In this interview you will have the opportunity to show us everything you know. We will delve into technology, NLP and deep learning. We will also conduct a science-related coding test. Finally, we will present you some practical scenarios so that you can give us your best solution or proposal What we offer -A well-funded early-stage startup with the opportunity to build from the ground-up -Possibility to publish in blogs, fora, and reputable research conferences and journals -A company laptop plus access to GPU servers to conduct your research -Great people to work with in an international environment -Work on Innovative projects and solutions -Training in new technologies and domains -Flexible working time -28 vacation days -Home Office possibility -Chance to develop and grow with the company -Out-of-office events -...and to be a part of something that is going to change the way we use AI forever!

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