publications

The list may not be up-to-date and does not include papers from before 2017. To find all papers, including preprints, go to my Google Scholar profile.

2021

  1. Structured Reordering for Modeling Latent Alignments in Sequence Transduction
    Wang, Bailin, Lapata, Mirella, and Titov, Ivan
    Proceedings of NeurIPS 2021
  2. Language Modeling, Lexical Translation, Reordering: The Training Process of NMT through the Lens of Classical SMT
    Voita, Elena, Sennrich, Rico, and Titov, Ivan
    In Proceedings of EMNLP 2021
  3. A Differentiable Relaxation of Graph Segmentation and Alignment for AMR Parsing
    Lyu, Chunchuan, Cohen, Shay B., and Titov, Ivan
    In Proceedings of EMNLP 2021
  4. Learning Opinion Summarizers by Selecting Informative Reviews
    Brazinskas, Arthur, Lapata, Mirella, and Titov, Ivan
    In Proceedings of EMNLP 2021
  5. Sparse Attention with Linear Units
    Zhang, Biao, Titov, Ivan, and Sennrich, Rico
    In Proceedings of EMNLP 2021
  6. Editing Factual Knowledge in Language Models
    De Cao, Nicola, Aziz, Wilker, and Titov, Ivan
    In Proceedings of EMNLP 2021
  7. Highly Parallel Autoregressive Entity Linking with Discriminative Correction
    De Cao, Nicola, Aziz, Wilker, and Titov, Ivan
    In Proceedings of EMNLP (short papers) 2021
  8. Interpreting graph neural networks for NLP with differentiable edge masking
    Schlichtkrull, Michael Sejr, De Cao, Nicola, and Titov, Ivan
    Proceedings of ICLR 2021
  9. Meta-Learning to Compositionally Generalize
    Conklin, Henry, Wang, Bailin, Smith, Kenny, and Titov, Ivan
    In Proceedings of ACL 2021
  10. Beyond Sentence-Level End-to-End Speech Translation: Context Helps
    Zhang, Biao, Titov, Ivan, Haddow, Barry, and Sennrich, Rico
    In Proceedings of ACL 2021
  11. Analyzing the Source and Target Contributions to Predictions in Neural Machine Translation
    Voita, Elena, Sennrich, Rico, and Titov, Ivan
    In Proceedings of ACL 2021
  12. Meta-Learning for Domain Generalization in Semantic Parsing
    Wang, Bailin, Lapata, Mirella, and Titov, Ivan
    In Proceedings of NAACL 2021
  13. Learning from Executions for Semantic Parsing
    Wang, Bailin, Lapata, Mirella, and Titov, Ivan
    In Proceedings of NAACL 2021
  14. A Closer Look into the Robustness of Neural Dependency Parsers Using Better Adversarial Examples
    Wang, Yuxuan, Che, Wanxiang, Titov, Ivan, Cohen, Shay B., Lei, Zhilin, and Liu, Ting
    In Findings of ACL 2021
  15. On Sparsifying Encoder Outputs in Sequence-to-Sequence Models
    Zhang, Biao, Titov, Ivan, and Sennrich, Rico
    In Findings of ACL 2021
  16. Exploring Unsupervised Pretraining Objectives for Machine Translation
    Baziotis, Christos, Titov, Ivan, Birch, Alexandra, and Haddow, Barry
    In Findings of ACL 2021

2020

  1. Information-Theoretic Probing with Minimum Description Length
    Voita, Elena, and Titov, Ivan
    In Proceedings of EMNLP 2020
  2. How do Decisions Emerge across Layers in Neural Models? Interpretation with Differentiable Masking
    De Cao, Nicola, Schlichtkrull, Michael Sejr, Aziz, Wilker, and Titov, Ivan
    In Proceedings of EMNLP 2020
  3. Graph Convolutions over Constituent Trees for Syntax-Aware Semantic Role Labeling
    Marcheggiani, Diego, and Titov, Ivan
    In Proceedings of EMNLP 2020
  4. Few-Shot Learning for Opinion Summarization
    Bražinskas, Arthur, Lapata, Mirella, and Titov, Ivan
    In Proceedings of EMNLP 2020
  5. Visually Grounded Compound PCFGs
    Zhao, Yanpeng, and Titov, Ivan
    In Proceedings of EMNLP 2020
  6. Detecting Word Sense Disambiguation Biases in Machine Translation for Model-Agnostic Adversarial Attacks
    Emelin, Denis, Titov, Ivan, and Sennrich, Rico
    In Proceedings of EMNLP 2020
  7. Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation
    Zhang, Biao, Williams, Philip, Titov, Ivan, and Sennrich, Rico
    In Proceedings of ACL 2020
  8. Unsupervised Opinion Summarization as Copycat-Review Generation
    Bražinskas, Arthur, Lapata, Mirella, and Titov, Ivan
    In Proceedings of ACL 2020
  9. Block neural autoregressive flow
    De Cao, Nicola, Aziz, Wilker, and Titov, Ivan
    In Proceedings of UAI 2020
  10. Fast Interleaved Bidirectional Sequence Generation
    Zhang, Biao, Titov, Ivan, and Sennrich, Rico
    In Proceedings of WMT 2020
  11. Obfuscation for Privacy-preserving Syntactic Parsing
    Hu, Zhifeng, Havrylov, Serhii, Titov, Ivan, and Cohen, Shay B.
    In Proceedings of IWPT 2020
  12. Adaptive Feature Selection for End-to-End Speech Translation
    Zhang, Biao, Titov, Ivan, Haddow, Barry, and Sennrich, Rico
    In Findings of the Association for Computational Linguistics: EMNLP 2020

2019

  1. Differentiable perturb-and-parse: Semi-supervised parsing with a structured variational autoencoder
    Corro, Caio, and Titov, Ivan
    Proceedings of ICLR 2019
  2. Widening the Representation Bottleneck in Neural Machine Translation with Lexical Shortcuts
    Emelin, Denis, Titov, Ivan, and Sennrich, Rico
    In Proceedings of WMT 2019
  3. When a Good Translation is Wrong in Context: Context-Aware Machine Translation Improves on Deixis, Ellipsis, and Lexical Cohesion
    Voita, Elena, Sennrich, Rico, and Titov, Ivan
    In Proceedings of ACL 2019
  4. Boosting Entity Linking Performance by Leveraging Unlabeled Documents
    Le, Phong, and Titov, Ivan
    In Proceedings of ACL 2019
  5. Interpretable Neural Predictions with Differentiable Binary Variables
    Bastings, Jasmijn, Aziz, Wilker, and Titov, Ivan
    In Proceedings of ACL 2019
  6. Distant Learning for Entity Linking with Automatic Noise Detection
    Le, Phong, and Titov, Ivan
    In Proceedings of ACL 2019
  7. Learning Latent Trees with Stochastic Perturbations and Differentiable Dynamic Programming
    Corro, Caio, and Titov, Ivan
    In Proceedings of ACL 2019
  8. Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned
    Voita, Elena, Talbot, David, Moiseev, Fedor, Sennrich, Rico, and Titov, Ivan
    In Proceedings of ACL 2019
  9. Single Document Summarization as Tree Induction
    Liu, Yang, Titov, Ivan, and Lapata, Mirella
    In Proceedings of NAACL 2019
  10. Question Answering by Reasoning Across Documents with Graph Convolutional Networks
    De Cao, Nicola, Aziz, Wilker, and Titov, Ivan
    In Proceedings of NAACL 2019
  11. Context-Aware Monolingual Repair for Neural Machine Translation
    Voita, Elena, Sennrich, Rico, and Titov, Ivan
    In Proceedings of EMNLP 2019
  12. Improving Deep Transformer with Depth-Scaled Initialization and Merged Attention
    Zhang, Biao, Titov, Ivan, and Sennrich, Rico
    In Proceedings of EMNLP 2019
  13. Semantic Role Labeling with Iterative Structure Refinement
    Lyu, Chunchuan, Cohen, Shay B., and Titov, Ivan
    In Proceedings of EMNLP 2019
  14. Learning Semantic Parsers from Denotations with Latent Structured Alignments and Abstract Programs
    Wang, Bailin, Titov, Ivan, and Lapata, Mirella
    In Proceedings of EMNLP 2019
  15. The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives
    Voita, Elena, Sennrich, Rico, and Titov, Ivan
    In Proceedings of EMNLP 2019
  16. Capturing Argument Interaction in Semantic Role Labeling with Capsule Networks
    Chen, Xinchi, Lyu, Chunchuan, and Titov, Ivan
    In Proceedings of EMNLP 2019

2018

  1. AMR Parsing as Graph Prediction with Latent Alignment
    Lyu, Chunchuan, and Titov, Ivan
    In Proceedings of ACL 2018
  2. Context-Aware Neural Machine Translation Learns Anaphora Resolution
    Voita, Elena, Serdyukov, Pavel, Sennrich, Rico, and Titov, Ivan
    In Proceedings of ACL 2018
  3. Improving Entity Linking by Modeling Latent Relations between Mentions
    Le, Phong, and Titov, Ivan
    In Proceedings of ACL 2018
  4. Exploiting Semantics in Neural Machine Translation with Graph Convolutional Networks
    Marcheggiani, Diego, Bastings, Jasmijn, and Titov, Ivan
    In Proceedings of NAACL 2018
  5. Modeling relational data with graph convolutional networks
    Schlichtkrull, Michael, Kipf, Thomas N, Bloem, Peter, Van Den Berg, Rianne, Titov, Ivan, and Welling, Max
    In European semantic web conference 2018
  6. Embedding Words as Distributions with a Bayesian Skip-gram Model
    Bražinskas, Arthur, Havrylov, Serhii, and Titov, Ivan
    In Proceedings of COLING 2018

2017

  1. Emergence of language with multi-agent games: Learning to communicate with sequences of symbols
    Havrylov, Serhii, and Titov, Ivan
    Proceedings of NeurIPS 2017
  2. Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling
    Marcheggiani, Diego, and Titov, Ivan
    In Proceedings of EMNLP 2017
  3. Graph Convolutional Encoders for Syntax-aware Neural Machine Translation
    Bastings, Jasmijn, Titov, Ivan, Aziz, Wilker, Marcheggiani, Diego, and Sima’an, Khalil
    In Proceedings of EMNLP 2017
  4. Modeling Semantic Expectation: Using Script Knowledge for Referent Prediction
    Modi, Ashutosh, Titov, Ivan, Demberg, Vera, Sayeed, Asad, and Pinkal, Manfred
    Transactions of the Association for Computational Linguistics (TACL) 2017
  5. Optimizing Differentiable Relaxations of Coreference Evaluation Metrics
    Le, Phong, and Titov, Ivan
    In Proceedings of CoNLL 2017
  6. A Simple and Accurate Syntax-Agnostic Neural Model for Dependency-based Semantic Role Labeling
    Marcheggiani, Diego, Frolov, Anton, and Titov, Ivan
    In Proceedings of CoNLL 2017