A graph index for everyone?! Watch Till's slide of our paper on "Indexing data on the web a comparison of schema level indices for data search" at #dexa2020 https://t.co/AjHEYRnUVM see paper on ArXiV: https://t.co/LOsx7OS88C
Documenting data and model being the norm would be a nice step forward towards ethical AI but also towards improving AI models' quality. And @mmitchell_ai's 5-years plans tackles interesting research questions
"I don't know what to do."
A 10-year-old Palestinian girl breaks down while talking to MEE after Israeli air strikes destroyed her neighbour's house, killing 8 children and 2 women
#Gaza#Palestine#Israel
Making Graph Summaries easy and 'crisp again'! A formal declarative language, complexity analysis, empirical evaluation, and programming framework for flexibly summarizing multi-relational graphs @tblume0 - see here: https://t.co/jxfEpX3Qp9
Our NLU group at @Idiap_ch still has an open postdoc position. We work on textual entailment, summarization, parsing, text representation learning, and more. Please consider applying!
https://t.co/MiimIEyZHm
Congrats to Morten Jessen (w/ Falk Böschen) for receiving at #DocEng2019 a Best Student Paper Award for his Master's Thesis on "Text Extraction from Scientific Figures using Deep Learning and Limited Training Data". Paper: https://t.co/wNDVhwslYi Slides: https://t.co/4v0lRxiGPE
"A new free platform can help us cut through today’s information overload." Article about the @MOVING_EU@EU_H2020 project (https://t.co/d1krsJ7rFr) and its results has been published on the CORDIS website, https://t.co/XiIXjtMmoe @CORDIS_EU, @CERTHellas, #H2020
Our paper with @_lpag @ansgarscherp on sentence embeddings "CBOW Is Not All You Need: Combining CBOW with the Compositional Matrix Space Model" was accepted at #ICLR2019!
https://t.co/tMlMxvAIdh
Ask someone a question, if you don't understand their answer they must be wrong.
Technology ignorance at its finest :D
https://t.co/M2kJ5pd9Ex
#Congress#Google#SearchEngine