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An Empirical Study of Compound PCFGs


Mar 03, 2021
Yanpeng Zhao, Ivan Titov

* Accepted to Adapt-NLP at EACL 2021. Our code is available at https://github.com/zhaoyanpeng/cpcfg 

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Detecting Word Sense Disambiguation Biases in Machine Translation for Model-Agnostic Adversarial Attacks


Nov 03, 2020
Denis Emelin, Ivan Titov, Rico Sennrich

* Accepted to EMNLP 2020 

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Fast Interleaved Bidirectional Sequence Generation


Oct 27, 2020
Biao Zhang, Ivan Titov, Rico Sennrich

* WMT2020, source code is at https://github.com/bzhangGo/zero/tree/master/docs/interleaved_bidirectional_transformer 

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A Differentiable Relaxation of Graph Segmentation and Alignment for AMR Parsing


Oct 23, 2020
Chunchuan Lyu, Shay B. Cohen, Ivan Titov


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Meta-Learning for Domain Generalization in Semantic Parsing


Oct 22, 2020
Bailin Wang, Mirella Lapata, Ivan Titov

* V1.0 

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Analyzing the Source and Target Contributions to Predictions in Neural Machine Translation


Oct 21, 2020
Elena Voita, Rico Sennrich, Ivan Titov


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Adaptive Feature Selection for End-to-End Speech Translation


Oct 20, 2020
Biao Zhang, Ivan Titov, Barry Haddow, Rico Sennrich

* EMNLP2020 Findings; source code is at https://github.com/bzhangGo/zero 

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Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking


Oct 01, 2020
Michael Sejr Schlichtkrull, Nicola De Cao, Ivan Titov


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Visually Grounded Compound PCFGs


Sep 25, 2020
Yanpeng Zhao, Ivan Titov

* Accepted to EMNLP 2020. Our code is available at https://github.com/zhaoyanpeng/vpcfg 

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Unsupervised Transfer of Semantic Role Models from Verbal to Nominal Domain


May 01, 2020
Yanpeng Zhao, Ivan Titov


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How do Decisions Emerge across Layers in Neural Models? Interpretation with Differentiable Masking


Apr 30, 2020
Nicola De Cao, Michael Schlichtkrull, Wilker Aziz, Ivan Titov

* 19 pages, 14 figures, 4 tables 

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Few-Shot Learning for Abstractive Multi-Document Opinion Summarization


Apr 30, 2020
Arthur Bražinskas, Mirella Lapata, Ivan Titov


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Preventing Posterior Collapse with Levenshtein Variational Autoencoder


Apr 30, 2020
Serhii Havrylov, Ivan Titov


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Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation


Apr 24, 2020
Biao Zhang, Philip Williams, Ivan Titov, Rico Sennrich

* ACL2020 

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On Sparsifying Encoder Outputs in Sequence-to-Sequence Models


Apr 24, 2020
Biao Zhang, Ivan Titov, Rico Sennrich


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Information-Theoretic Probing with Minimum Description Length


Mar 27, 2020
Elena Voita, Ivan Titov


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Unsupervised Multi-Document Opinion Summarization as Copycat-Review Generation


Nov 06, 2019
Arthur Bražinskas, Mirella Lapata, Ivan Titov


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Context-Aware Monolingual Repair for Neural Machine Translation


Oct 15, 2019
Elena Voita, Rico Sennrich, Ivan Titov

* EMNLP 2019 (camera-ready) 

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The Emergence of Compositional Languages for Numeric Concepts Through Iterated Learning in Neural Agents


Oct 11, 2019
Shangmin Guo, Yi Ren, Serhii Havrylov, Stella Frank, Ivan Titov, Kenny Smith


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Capturing Argument Interaction in Semantic Role Labeling with Capsule Networks


Oct 07, 2019
Xinchi Chen, Chunchuan Lyu, Ivan Titov

* 11 pages, 6 figures, accepted as a long paper at EMNLP 2019 

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Graph Convolutions over Constituent Trees for Syntax-Aware Semantic Role Labeling


Sep 21, 2019
Diego Marcheggiani, Ivan Titov


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Learning Semantic Parsers from Denotations with Latent Structured Alignments and Abstract Programs


Sep 09, 2019
Bailin Wang, Ivan Titov, Mirella Lapata

* EMNLP2019 

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Semantic Role Labeling with Iterative Structure Refinement


Sep 07, 2019
Chunchuan Lyu, Shay B. Cohen, Ivan Titov

* EMNLP 2019 

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The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives


Sep 03, 2019
Elena Voita, Rico Sennrich, Ivan Titov

* EMNLP 2019 (camera-ready) 

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Improving Deep Transformer with Depth-Scaled Initialization and Merged Attention


Aug 29, 2019
Biao Zhang, Ivan Titov, Rico Sennrich

* EMNLP2019 

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Widening the Representation Bottleneck in Neural Machine Translation with Lexical Shortcuts


Jun 28, 2019
Denis Emelin, Ivan Titov, Rico Sennrich

* Accepted submission to WMT 2019 

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Learning Latent Trees with Stochastic Perturbations and Differentiable Dynamic Programming


Jun 24, 2019
Caio Corro, Ivan Titov

* Accepted at ACL 2019 

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Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned


Jun 07, 2019
Elena Voita, David Talbot, Fedor Moiseev, Rico Sennrich, Ivan Titov

* ACL 2019 (camera-ready) 

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