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

Lisbon, Portugal
Joined August 2018
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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Adaptively Sparse Transformers @emnlp2019 +Gonçalo Correia, André Martins α-entmax attention α=1: softmax, α=2: sparsemax, continuous in between. twist: we learn α for each head, w gradients! Some heads become dense, some sparse. arxiv.org/abs/1909.00015 github.com/deep-spin/entmax
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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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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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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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A nice write-up of the challenges of lemmatization by DeepSPINner Erick! Multilingual examples reveal different complexities hard to imagine if focusing on English.
My overview of state-of-the-art lemmatization medium.com/@erickrfonseca/st…
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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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Towards Dynamic Computation Graphs via Sparse Latent Structure: #emnlp2018 + André @clairecardie - marginalize over structured latent vars w/ SparseMAP - CG a function of discrete structure - eg latent dependency TreeLSTM pdf arxiv.org/abs/1809.00653 code github.com/vene/sparsemap/tr… – at Lisbon, Portugal
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DeepSPIN will be at #emnlp2018! 1) SparseMAP for latent dynamic computation graphs; @vnfrombucharest, André Martins and @clairecardie; 2) Discussing the interpretability of sparse/structured attention; @bpopuw, @vnfrombucharest, Martins at #BlackboxNLP. (preprints soon) -->
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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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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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