The slides of my @eurnlp talk on node embeddings are now at https://t.co/Qp1v412tcj. The video of the talk can be found at https://t.co/sd9wYaRLRR (Session 2, after J. Nivre, B. Webber).
Thanks to @eurnlp for a great day talking about NLP close to home. Can we have a session on the environmental impact of NLP next year? More layers = more responsibility AND more energy. What can NLP do to stop climate change?
@anne_lauscher presenting our general framework for debiasing distributional representations (DEBIE) @eurnlp@dwsunima joint work with @licwu @spponzius
.@eurnlp was a really wonderful opportunity to start my masters in Sheffield. A big thank to the EurNLP organizers! And thanks for those who gave me some advice during the poster session!
Had a great day yesterday at @eurnlp! Many good talks and interesting conversations. Thanks @barbara_plank, @seb_ruder and the rest of the team for organizing a great event!
#EurNLP2019
"The future of NLP is not about bigger models, it's about bigger ideas" Phil Blunsom in #EurNLP2019 panel on Academia and Industry in NLP (with Bonnie Webber, @lspecia, André Martins, @dirk_hovy, Angela Fan & chair @_rockt)
Chair: @_rockt
Panelists (left to right): Bonnie Webber, @dirk_hovy, @lspecia, André Martins, Angela Fan and Phil Blunsom.
Topic: Academia and Industry in NLP
Join us later at 16:30 BST for our panel on Academia and Industry in NLP.
Chair: @_rockt
Panelists: Bonnie Webber, @lspecia, André Martins, @dirk_hovy and Angela Fan
Live stream: https://t.co/HZzlZwqRek
Back after lunch Gemma Boleda serves some Italian coffee illustrating 'Generic and situation-specific information in distributed representations' #EurNLP
@natschluter giving us some theory to digest in her last talk before lunch: walking us through her proof that projective max spanning tree decoding cannot be solved significantly faster than in cubic time (O(n^3)); more details in #NAACL19 article https://t.co/pNBizKfQDu #EurNLP
Next, Bonnie Webber talks about implicit relations in discourse. A nice example of discourse coherence:
The explicit and implicit inferences people make when following a recipe. @eurnlp#EurNLP2019