@bernhard2202

Old Twitter profile. Mainly used for reading, rarely active. he/him

 Zurich, Switzerland
ethon.ai
Joined December 2017
  • Tweets204
  • Following228
  • Followers135
38Media
Bernhard Kratzwald retweeted
Omid Maghazei@OMaghazei5 Jul 2022
Look what is going on at #EurOMA2022: @ethon_AI featuring as a successful example of a fantastic #OpsManagement research spinning off! 🏆 Bringing #ArtificialIntelligence to #manufacturing @bernhard2202 @tnetland and Julian Senoner - way to go!
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Bernhard Kratzwald retweeted
Mana Gharun@ManaGharun18 Feb 2022
Are you intrerested in #greenhousegas emissions from #peatlands? Come work with me and with #eddycovariance, I have an open PhD position: uni-muenster.de/Rektorat/Ste…
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DONE! :-)
D-MTEC ETH Zurich@d_mtec15 Mar 2021
So proud of you! Congrats from the @ETH_en @d_mtec Doctoral Coordination and welcome to our D-MTEC alumni community!
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Bernhard Kratzwald retweeted
Georg Holzer@georgholzer6 Jan 2021
Neuer zischcast.com ist online! 2021-01 Die mit der AI an der ETH featuring @bernhard2202 Neu: Wir haben klickbare Kapitelmarker im MP3. Zischcasts gibt's überall, woe es Podcasts gibt.
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I am disappointed, I always admired and looked up to @JeffDean. With @timnitGebru Google just lost one of their greatest researchers. What a shame.
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I am at the virtual poster in room J, poster number 14, happy to answer any question you might have about our paper on learning a cost-effective annotation policy for question answering #emnlp2020 #nlproc #questionanswering @stfeuerriegel @hhsun1
arXiv CS-CL@arxiv_cscl8 Oct 2020
Learning a Cost-Effective Annotation Policy for Question Answering arxiv.org/abs/2010.03476
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Bernhard Kratzwald retweeted
Denny Vrandečić@vrandezo15 May 2020
Ouch. arxiv.org/abs/2003.08001

Realistic Re-evaluation of Knowledge Graph Completion Methods: An...

In the active research area of employing embedding models for knowledge graph completion, particularly for the task of link prediction, most prior studies used two benchmark datasets FB15k and...

arxiv.org
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Bernhard Kratzwald retweeted
Huan Sun @ COLM2026
@hhsun18 Apr 2020
Consider submitting to the Natural Language Interface Workshop #acl2020nlp (deadline 04/20). Speakers: Percy Liang & Monica Lam (Stanford), Joyce Chai (UMichigan), @LukeZettlemoyer (UW)​, Imed Zitouni (Google) & more​. #NLProc #NLIworkshop @yusuOSU @scottyih @AhmedAwadallahMSR
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Bernhard Kratzwald retweeted
The QA Company@TheQACompany6 Apr 2020
Make #Wikidata more complete! We (@QAnswer,@ETH_en) use the latest #MachineLearning models to extract knowledge from text. We start with 18,694 new statements for #Wikidata about newspapers (26% of which expected to be true). Approve the new statements at wikidatacomplete.org!
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Bernhard Kratzwald retweeted
Nil-Jana Akpinar@niljanaakpinar10 Feb 2020
Excited to present my poster with @bernhard2202 and Stefan Feuerriegel tonight, especially after winning the best 3-minute student presentation award this morning!! 😊 Come talk to me in Americas Hall II @RealAAAI #AAAI20
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I know I don't tweet a lot but this really upsets me. Wasn't that the whole point of doing #NeurIPS2019 outside of the US.
Yuge Shi (Jimmy)@YugeTen19 Nov 2019
Hi Twitter: my Canadian visa application for Neurips got rejected on the grounds of “missing CV and enrolment document”, which I did upload (it’s showed on their website) — can anyone who’s in similar situation offer some advice here?
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Bernhard Kratzwald retweeted
Steffen Lüdke@stluedke18 Nov 2019
Hunderte singen in #Modena „Bella Ciao“ gegen Salvini
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We (primarily @niljanaakpinar) got an AAAI-20 student abstract accepted! :-) A slightly older version of the paper that will be updated soon is here: arxiv.org/abs/1901.10289 What a good way to start the weekend :-)

Sample Complexity Bounds for Recurrent Neural Networks with...

Learning to predict solutions to real-valued combinatorial graph problems promises efficient approximations. As demonstrated based on the NP-hard edge clique cover number, recurrent neural...

arxiv.org
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I am thrilled to say that I finally arrived at @OhioState in Columbus where I will spend the next four months working with professor @hhsun1 and her excellent team on interactive question answering systems.
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Bernhard Kratzwald retweeted
Yuge Shi (Jimmy)@YugeTen3 Sep 2019
Our paper on “Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative Models” got in Neurips! Here’s just a photo of me and some random strangers I’m sitting with when I got the news
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Answering a multi-hop question by decomposing it to multiple to single-hop questions. @sewon__min #ACL2019 #acl2019nlp
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Our ACL paper on question summarization is now available: aclweb.org/anthology/P19-121… — New dataset: github.com/abachaa/MeQSum #ACL2019nlp #NLP #BioNLP
Dr. Asma Ben Abacha@AsmaBenAbacha15 May 2019
Our paper "On the Summarization of Consumer Health Questions" got accepted at ACL. The data will be released soon (github.com/abachaa). Looking forward to present it at ⁦@ACL2019_Italy⁩ & to present the #MEDIQA shared task at the #BioNLP workshop. #NLProc #acl2019nlp
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Our paper on Answer Re-ranking for Neural Question Answering is now available on ACL anthology: aclweb.org/anthology/P19-161… #acl2019nlp #ACL2019
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An adversarial learning framework to generate compact answers for why questions. aclweb.org/anthology/papers/… #ACL2019 #acl2019nlp
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An interpretable multi- hop, reading-comprehension system based on a ‘reasoning tree'. An answer candidate is proposed for every root-to-leaf chain The final prediction is based on key information from all reasoning chains. aclweb.org/anthology/P19-126… #acl2019 #acl2019nlp
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