The 21st International Semantic Web Conference is over 🥺 But the presentation videos are still online! 😃
https://t.co/mR4r8BTTHF
The talks of our group members are also available on YouTube:
https://t.co/JAU3QC53wk
#iswc2022#iswc_conf#semanticWeb@iswc_conf (thread ...)
Happy to announce that our paper "Hashing the Hypertrie: Space- and Time-Efficient Indexing for SPARQL in Tensors" was accepted at @iswc_conf
22. Thx to the co-authors Charlotte Behning, @LixiCorrados, @saleem_muhamad, @NgongaAxel#iswc2022#iswc_conf (T-*=#tentris=our system)
We are looking for top talents for our new project OpenGPT-X in which we aim to improve large neural language models and their usability for dialogue systems & question answering. Very large supercomputing facilities are available. You can apply here: https://t.co/3xcGEv1Opo
Recently, I got many questions about the role of neural language models in #AI (due to our new OpenGPT-X project) and decided to write a blog post on the topic: https://t.co/fmQOpTzbM5 #languagemodels#gpt3#ArtificialIntelligence#OpenGPTX
Ante-Hoc Explainable #machinelearning on #KnowledeGraphs. We combine reinforcement learning with a novel refinement operator to accelerate #XAI. Check it out at https://t.co/nlJuLwUdUU @DiceResearch
Two exciting fully funded PhD positions on explainable AI and multi-view learning @DiceResearch. Check out details here: https://t.co/jlYuqcUIXg and let me know if you have any questions #AI#KnowledgeGraphs#ML#OpenScience
In https://t.co/JoXy4KNrQ1, we (1) show that common benchmarks for knowledge graph embeddings and link prediction contain out-of-vocabulary entities and (2) provide improved datasets free of this limitation. Enjoy! #AI#KnowledgeGraph#MachineLearning@DiceResearch
Looks like complex spaces enjoy a convolution to achieve better embeddings. Our approach ConEx achieves nice results on benchmarks with a comparatively small number of parameters. More at https://t.co/xDLPy5hr8w @_CaglarDemir#OpenScience#KnowledgeGraph#machinelearning
Another pleasant news: Our paper on the verbalization of link specifications for the integration of #KnowledgeGraphs is now available at https://t.co/gpsBhaeOvo. Code: https://t.co/bIhTW0FZJS. This is a #OpenSource contribution to explainable #AI. More coming up. Enjoy.
Our paper “5* Knowledge Graph Embeddings with Projective Transformations” by Mojtaba Nayyeri, @SaVahdati, Can Aykul, @JLehmann82 is just presented at #AAAI2021! Join us at the conference or find all information in our blog post: https://t.co/3DHKhNmDWY
We are very proud that our group leader @JLehmann82 was selected as Fellow for @ELLISforEurope in recognition of his achievements in AI research. He is the first researcher at @UniBonn and the second researcher at @Fraunhofer to receive this honour. #AI@FraunhoferIAIS