SDA Research

The Smart Data Analytics (SDA) research group at the University of Bonn working on #semantics, #machinelearning and #bigdata.

[SDA Research @SDA_Research]

Since the Dartmouth Conference in 1956, which was an essential date for AI research, 66 have passed. Where will the next 66 years take us?
In our blog post, Prof. Jens Lehmann describes his view on the future development of AI: https://t.co/OQ7BPYTZfH
#ArtificialIntelligence

[Jens Lehmann @JLehmann82]

Since the Dartmouth workshop in 1956, which is often seen as the funding event for Artificial Intelligence as a field, 66 years have passed. How will AI evolve in the next 66 years? This is what I cover in my new blog post: https://t.co/AjlsG9I5JI #ArtificialIntelligence #humans

[Jens Lehmann @JLehmann82]

Very honoured by this award. Thanks to my co-authors @ClausStadler Konrad Höffner and @SoerenAuer!

[Semantic Web Journal @SW_Journal]

SWJ 10-year award 2022: Claus Stadler, Jens Lehmann, Konrad Höffner, and Sören Auer, LinkedGeoData: A Core for a Web of Spatial Open Data. Semantic Web 3 (4), 2012, 333-354 @ClausStadler @JLehmann82 @SoerenAuer @STKO_UCSB @pascalhitzler @IOSPress_STM https://t.co/RIGTePn5yH

[Jens Lehmann @JLehmann82]

I'm happy to share that TU Dresden has appointed me to an honorary professorship position. This will allow me to perform some research and teaching activities in my spare time next to the main work at Amazon. More information is in the press release here: https://t.co/N9ziV1gbCM

[SDA Research @SDA_Research]

We are thrilled to announce that our group leader @JLehmann82 and his co-authors won the SWJ 10-year award 2022 for their work "LinkedGeoData: A Core for a Web of Spatial Open Data".
Paper: https://t.co/f85Ul5leH9

[Semantic Web Journal @SW_Journal]

SWJ 10-year award 2022: Claus Stadler, Jens Lehmann, Konrad Höffner, and Sören Auer, LinkedGeoData: A Core for a Web of Spatial Open Data. Semantic Web 3 (4), 2012, 333-354 @ClausStadler @JLehmann82 @SoerenAuer @STKO_UCSB @pascalhitzler @IOSPress_STM https://t.co/RIGTePn5yH

[SDA Research @SDA_Research]

Do you want to know how we exploit unsupervised learning for #questionanswering over #knowledgegraphs?
Then check out our IEEE Access paper describing Tree-KGQA. More details at: https://t.co/Wyj8UUiPNa
#machinelearning #semanticweb

[SDA Research @SDA_Research]

Improving task-oriented dialogue generation by incorporating knowledge into a language model. Sounds interesting to you?
Then check out our NAACL22 paper. More details at: https://t.co/YMD2IaY6gp
#conversationalai #dialoguesystems #knowledgegraphs #machinelearning

[Jens Lehmann @JLehmann82]

We are looking for talented scientists to work at Amazon Alexa AI in Dresden/Germany! If you are interested in machine learning, knowledge graphs, NLP & language models, please consider to apply at https://t.co/fxLjBWT9tI (researchers at different experience levels can apply).

[SDA Research @SDA_Research]

Do you want to compute dataset statistics for large-scale OWL datasets? Then check out OWLStats, a distributed in-memory approach for computing 50 statistical criteria for OWL datasets utilizing Apache Spark.
More details at: https://t.co/dr9wz1EXhC
#semanticweb

[Jens Lehmann @JLehmann82]

I am extremely excited to join @amazon @alexa99 AI today and start a new chapter in my scientific career working in an excellent environment on question answering, knowledge graphs, reasoning, natural language understanding and more generally the future of conversational AI.

[SDA Research @SDA_Research]

Evaluating Natural Language Generation (#NLG) 💬systems is a challenging task. In our #ACL22 paper, we present our contribution to addressing this challenge: RoMe, a robust metric for evaluating NLG📈.
More details at: https://t.co/MGNdcrBTSC
#machinelearning #conversationalai

[Jens Lehmann @JLehmann82]

Congratulations to Denis @lukovnikov for successfully defending his PhD thesis today! Denis worked on deep learning for question answering and semantic parsing. He analysed & improved transfer learning, compositionality and generalisation of large-scale machine learning models.

[Jens Lehmann @JLehmann82]

Congratulations to Debanjan ( @deepinevil ) for successfully defending his PhD thesis today! Debanjan worked on integrating background knowledge into question answering & dialogue systems to increase the factual accuracy of chatbots while allowing very natural sounding dialogues.

[Jens Lehmann @JLehmann82]

Congratulations to @SebastianBade18 for successfully defending his PhD thesis. Sebastian skillfully combined semantic and IoT technologies to address practical challenges via Semantic Digital Twins. His work influenced standardisation activities and implementations in industry.

[SDA Research @SDA_Research]

Do you want to evaluate the #linkprediction capabilities of your #knowledgegraphembeddingmodel on a diverse set of datasets?
Then check out our recent #NeurIPS paper in which we present a novel set of datasets: https://t.co/GyWQxW8hLz
#machinelearning #knowledegegraphs

[Jens Lehmann @JLehmann82]

The attack of Russia against Ukraine is a threat to world peace & stability. The war leads to a humanitarian crisis in several parts of Ukraine. Please consider a donation to those suffering most.
https://t.co/sIPzlLJvzT
https://t.co/QYzVJS2ghg
#StandWithUkraine #Ukraine #Donate

[PyKEEN @keenuniverse]

🚨 PyKEEN 1.7.0 is out! 🚨

New: 7 models, 3 encoders, 2 trackers, keras-style training callbacks, uncertainty estimation, and more

📖 Full Release Notes: https://t.co/oaYAAix2bL

💪 Huge S/O to external contributors @dobraczka @michael_galkin @SBonner0 @Ralph_Abb and others

[SDA Research @SDA_Research]

In our #IEEEAccess paper, we propose the Weighted Triple Loss function.
Curious?
More details at: https://t.co/Hq2iVXx625
#knowledgegraphs #knowledgegraphembeddings #linkprediction

[SDA Research @SDA_Research]

In our #EMNLP21 papers, we address #entityalignment and #linkprediction in (temporal) #knowledgegraphs and the automatic evaluation of open-domain dialogues.
More details at: https://t.co/G5MTdIsh69
#machinelearning #conversationalai