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SDA Research
@SDA_Research
The Smart Data Analytics (SDA) research group at the University of Bonn working on #semantics, #machinelearning and #bigdata.
Tweets by 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
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5/9/2022
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
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3/8/2022
In our #ECIR2021 paper, we describe how the performance of KGEMs can be improved by introducing a new loss function that is both pattern-aware and noise-resilient. More details at: https://t.co/VAJ6fSXGtm #machinelearning #knowledgegraphs #knowledgegraphembeddings #linkprediction
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12/6/2021
Do you want to compute similarities between entities in large-scale KGs? Then check out our framework DistSim which is described in our ICSC paper. DistSim has been integrated into the @SANSA_Stack. More details at: https://t.co/UjkVtCVbTN #Knowledgeggraphs #distributedcomputing
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6/16/2021
We are thrilled to announce that we got a paper accepted for presentation at #ACL2021. We propose an approach to integrate a concise encoding of knowledge graphs for knowledge-grounded dialogue generation. More detail at: https://t.co/EXGRkLQLhu #dialoguesystems #knowledgegraphs
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6/14/2021