DeepSPIN

23 posts

DeepSPIN

DeepSPIN

@deep_spin

Deep structured prediction in NLP. ERC project coordinated by @andre_t_martins. Instituto de Telecomunicações.

Lisbon, Portugal Присоединился Ağustos 2018
72 Подписки350 Подписчики
Закреплённый твит
DeepSPIN
DeepSPIN@deep_spin·
Our group is headed to #acl2019nlp! Come chat at our posters and presentations listed in the attached image. More info in thread 👇👇 [1/11]
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DeepSPIN
DeepSPIN@deep_spin·
Joint Learning of Named Entity Recognition and Entity Linking Pedro Henrique Martins, Zita Marinho, André Martins arxiv.org/abs/1907.08243 Tue 30, SRW, Posters 2 10:30–12:10 [5/11]
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DeepSPIN
DeepSPIN@deep_spin·
Our group is headed to #acl2019nlp! Come chat at our posters and presentations listed in the attached image. More info in thread 👇👇 [1/11]
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DeepSPIN
DeepSPIN@deep_spin·
Unbabel's Participation in the WMT'19 Translation Quality Estimation Shared Task WMT QE s. t. winner! Fábio Kepler, Jonay Trénous, Marcos Treviso, Miguel Vera, António Góis, Amin Farajian, António Lopes, André Martins arxiv.org/abs/1907.10352 Fri 2, WMT APE 11:00–12:30 [11/11]
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DeepSPIN
DeepSPIN@deep_spin·
BERT-based Encoder-Decoder for Automatic Post-Editing WMT APE shared task winner! António Lopes, Amin Farajian, Gonçalo M Correia, Jonay Trénous, André Martins arxiv.org/abs/1905.13068 Fri 2, WMT APE 11:00–12:30 [10/11]
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DeepSPIN
DeepSPIN@deep_spin·
The Variational Inference Tutorial tour stopped by our lab! Thank you @wilkeraziz for a fantastic tutorial and a visit full of exciting discussion!
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DeepSPIN
DeepSPIN@deep_spin·
DeepSPIN talks at #emnlp2018 ! - Thu, 11:00AM, talk @ Blackbox NLP Interpretable Structure Induction via Sparse Attention. Peters/Niculae/Martins. - Fri, 3:36PM, main conf talk @ ML(3B) Towards Dynamic Computation Graphs via Sparse Latent Structure. Niculae/Martins/Cardie.
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DeepSPIN
DeepSPIN@deep_spin·
2) #BlackboxNLP Interpretable structure induction via sparse attention: @bpopuw, @vnfrombucharest, André Martins We discuss the interpretability angle of recent & ongoing work on sparse, structured and constrained attention: sparsemax, fusedmax, constrained sparsemax, SparseMAP
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DeepSPIN
DeepSPIN@deep_spin·
1) "Towards dynamic computation graphs via sparse latent structure": @vnfrombucharest, André Martins, @clairecardie - marginalize over structured latent variables with SparseMAP - computation graph conditions globally on discrete structure - e.g: latent dependency TreeLSTM
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