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Induction of Broad-Coverage Semantic Parsers

Publications

Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling

Author(s): Marcheggiani, Diego; Titov, Ivan
Published in: Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2018, Page(s) 1506–1515

Context-Aware Neural Machine Translation Learns Anaphora Resolution

Author(s): Voita, Elena; Serdyukov, Pavel; Sennrich, Rico; Titov, Ivan
Published in: Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018, Page(s) 1264-1274

Emergence of Language with Multi-agent Games: Learning to Communicate with Sequences of Symbols

Author(s): Havrylov, Serhii; Titov, Ivan
Published in: Advances in Neural Information Processing Systems (NIPS), 2017

Modeling Relational Data with Graph Convolutional Networks

Author(s): Schlichtkrull, Michael; Kipf, Thomas N.; Bloem, Peter; Berg, Rianne van den; Titov, Ivan; Welling, Max
Published in: 15th Extended Semantic Web Conference (ESWC), 2018, Page(s) 593-607

Improving Entity Linking by Modeling Latent Relations between Mentions

Author(s): Le, Phong; Titov, Ivan
Published in: Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, Issue 1, 2018

AMR Parsing as Graph Prediction with Latent Alignment

Author(s): Lyu, Chunchuan; Titov, Ivan
Published in: Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018, Page(s) 397--407

Exploiting Semantics in Neural Machine Translation with Graph Convolutional Networks

Author(s): Marcheggiani, Diego; Bastings, Joost; Titov, Ivan
Published in: Proceedings of the Conference of the North American Chapter of the Association for Computation Linguistics (NAACL), 2018

Graph Convolutional Encoders for Syntax-aware Neural Machine Translation

Author(s): Joost Bastings, Ivan Titov, Wilker Aziz, Diego Marcheggiani, Khalil Simaan
Published in: Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017, Page(s) 1957-1967
DOI: 10.18653/v1/D17-1209

Embedding Words as Distributions with a Bayesian Skip-gram Model

Author(s): Arthur Bražinskas; Serhii Havrylov; Ivan Titov
Published in: Proceedings of the 27th International Conference on Computational Linguistics (COLING), 2018, Page(s) 1775–1789

Differentiable Perturb-and-Parse: Semi-Supervised Parsing with a Structured Variational Autoencoder

Author(s): Caio Corro; Ivan Titov
Published in: International Conference on Learning Representations (ICLR), 2019

A Simple and Accurate Syntax-Agnostic Neural Model for Dependency-based Semantic Role Labeling

Author(s): Diego Marcheggiani, Anton Frolov, Ivan Titov
Published in: Proceeding of the Conference on Natural Language Learning (CoNLL), 2017

Optimizing Differentiable Relaxations of Coreference Evaluation Metrics

Author(s): Phong Le, Ivan Titov
Published in: Proceeding of Conference on Natural Language Learning (CoNLL), 2017

Interpretable Neural Predictions with Differentiable Binary Variables

Author(s): Bastings, Joost; Aziz, Wilker; Titov, Ivan
Published in: Proceedings of the Association for Computational Linguistics, 2019

Learning Latent Trees with Stochastic Perturbations and Differentiable Dynamic Programming

Author(s): Corro, Caio; Titov, Ivan
Published in: Proceedings of the Association for Computational Linguistics, Issue 1, 2019

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

Author(s): Voita, Elena; Talbot, David; Moiseev, Fedor; Sennrich, Rico; Titov, Ivan
Published in: Voita, Elena; Talbot, David; Moiseev, Fedor; Sennrich, Rico; Titov, Ivan (2019). Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned. In: Proceedings of the 57th Conference of the Association for Computational Linguistics, Florence, Italy, 28 July 2019 - 2 August 2019, 5797-5808., Issue 3, 2019
DOI: 10.5167/uzh-172619

Question Answering by Reasoning Across Documents with Graph Convolutional Networks

Author(s): Nicola De Cao, Wilker Aziz, Ivan Titov
Published in: Proceedings of the 2019 Conference of the North, 2019, Page(s) 2306-2317
DOI: 10.18653/v1/n19-1240

When a Good Translation is Wrong in Context: Context-Aware Machine Translation Improves on Deixis, Ellipsis, and Lexical Cohesion

Author(s): Voita, Elena; Sennrich, Rico; Titov, Ivan
Published in: Voita, Elena; Sennrich, Rico; Titov, Ivan (2019). When a Good Translation is Wrong in Context: Context-Aware Machine Translation Improves on Deixis, Ellipsis, and Lexical Cohesion. In: Proceedings of the 57th Conference of the Association for Computational Linguistics, Florence, Italy, 28 July 2019 - 2019, 1198-1212., Issue 6, 2019
DOI: 10.5167/uzh-172620

Block Neural Autoregressive Flow

Author(s): De Cao, Nicola; Aziz, Wilker; Titov, Ivan
Published in: in Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, UAI 2019, Issue 4, 2019

Distant Learning for Entity Linking with Automatic Noise Detection

Author(s): Phone Le, Ivan Titov
Published in: Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL), 2019

Boosting Entity Linking Performance by Leveraging Unlabeled Documents

Author(s): Phong Le, Ivan Titov
Published in: Proceedings of the Association for Computational Linguistics, 2019

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

Author(s): Bailin Wang, Ivan Titov, Mirella Lapata
Published in: Proceedings of the Association for Computational Linguistics (ACL), 2019

Semantic Role Labeling with Iterative Structure Refinement

Author(s): Chunchuan Lyu, Shay Cohen, Ivan Titov
Published in: Proceedings of EMNLP, 2019

Capturing Argument Interaction in Semantic Role Labeling with Capsule Networks

Author(s): Xinchi Chen, Chunchuan Lyu, Ivan Titov
Published in: Proceedings of EMNLP, 2019

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

Author(s): Elena Voita, Rico Sennrich, Ivan Titov
Published in: Proceedings of EMNLP, 2019

Single Document Summarization as Tree Induction

Author(s): Yang Liu, Ivan Titov, Mirella Lapata
Published in: Proceedings of NAACL, 2019

Unsupervised Opinion Summarization as Copycat-Review Generation

Author(s): Arthur Brazinskas, Mirella Lapata, Ivan Titov
Published in: Proceedings of ACL, 2020

Modelling Semantic Expectation: Using Script Knowledge for Referent Prediction

Author(s): Ashutosh Modi, Ivan Titov, Vera Demberg, Asad Sayeed, Manfred Pinkal
Published in: Transactions of the Association for Computational Linguistics, 2017, Page(s) 31-44, ISSN 2307-387X