SELMA-project.eu

Curious about the results of the SELMA project? Check out an overview of three macOS-based experimental apps that we prototyped as part of the SELMA project: https://lnkd.in/ezVWQDeF The DW Speaker app synthesizes speech from text using a variety of speech engines. This includes an engine developed within SELMA, giving access to voices in Urdu and Brazilian Portuguese. The DW Summarizer app summarizes text using various engines, amongst them the Priberam engine developed within SELMA. The Podcast Creator app allows users to create audio news bulletins with synthetic speech. It groups the functionalities of the other two apps, adding an introduction and a goodbye section, with some music mixed in. As an additional feature, the app imports suggested storylines from the Monitoring platform Monitio. #HLT

With our Final User Day (we still have some spots if you want to participate - https://lnkd.in/esxAgFtm) approaching, we look at the blog output SELMA created in the last 3 years of the project. SELMA's homepage's blog feature shows contributions to artificial intelligence and human language technologies made by consortium partners. But what can you read about there? You can read about #Biases in #AI and Spoken Languages - Learn like a Child (about #CurriculumLearningMethods), get to know about Infoboxes & Knowledge Graphs, see What we do with people, places, and organizations (about #NamedEntityRecognition), get A Yummy Piece of Cake (about #MachineLearningAlgorithms). We show Why (Counting) Diversity Matters (about #DiversityInMedia), How to satisfy data-hungry machine learning (about #SelfSupervisedLearning), and what to do if you Need Computing Resources. Take a Queue Token! (about #scaling), “listen” to Who Spoke When? (about #SpeakerDiarization), embark On the Path to the Responsible AI (about #TrustworthyAI), learn Why does AI need labeled data?, dive into Introducing LeBenchmark: A Comprehensive Framework for Evaluating Self-Supervised Learning, use The SELMA #OpenSource Platform, and finally get personal insights with My Year with plain X (about #UserExperience and Acceptance). Are you curious? Check it out here 👉 https://lnkd.in/ercqUY5Q

Mark your calendars for the SELMA Final User Event! 🗓 Kicked off in early 2021, the partners of this EU-funded research and innovation action (RIA) have dedicated a lot of their time to: 🛠 training next-level machine learning models for natural language tasks 🛠 using the resulting tools to keep tabs on complex data streams 🛠 improving multilingual media monitoring and news content production ...and the consortium has come a long way! 🙌 On March 21st, it's time to present insights, prototypes – and concepts for the future. 🎉 Your hosts: Kay Macquarrie | Ksenia Skriptchenko | Tuğtekin Turan (representing: DW Innovation, Fraunhofer IAIS, Institute of Mathematics and Computer Science, University of Latvia, Laboratoire Informatique d'Avignon (LIA), Avignon University, and Priberam) The event is free of charge and open to everyone. 🔓 Access via MS Teams. 💻 Details & Links: https://lnkd.in/esxAgFtm

Join a “heated” or preferably not so heated debate of AI in Media! When? In two weeks from now. It’s an online event with top NLP heads from around Europe presenting insights of a research project on language, technology and the media. Join and interact! Find out more here on the SELMA website: https://lnkd.in/esxAgFtm or indicate your availability directly on LinkedIn: https://lnkd.in/dYiHdEvV In the meantime read this nice and fine insight about how journalists from DW already use an NLP tool called plain X incorporating AI-fueled systems in their daily work. Read “My Year with plain X” from Konstantin Klein: https://lnkd.in/dnQFkt2p

We are thrilled to announce, that on 21.3.2024, we will have the final SELMA user event, focussing on prototypes and results for journalists and the media industry! You also get rich insights about #AI, #Scaling, and #Multilingual #MachineTranslation in (under-resourced) language domains from research partners Avignon Université (LIA), Latvijas Universitate (IMCS), Fraunhofer IAIS, and Priberam. And we showcase our output (plain X, Monitio, SELMA open-source and the Podcast creator) including live demos from Deutsche Welle. You are most welcome to join! Stay tuned: https://lnkd.in/esxAgFtm