🧑‍🔬 Ivan Titov — all works

39 works · ← Ivan Titov

1. Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be PrunedAnnual Meeting of the Association for Computational Linguistics (ACL)Elena Voita, David Talbot, Fedor Moiseev, et al.2019 · 1,535 citations
2. Encoding Sentences with Graph Convolutional Networks for Semantic Role LabelingConference on Empirical Methods in Natural Language Processing (EMNLP)Diego Marcheggiani, Ivan Titov2017 · 1,106 citations
3. A Joint Model of Text and Aspect Ratings for Sentiment SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL)Ivan Titov, Ryan McDonald2008 · 732 citations
4. Modeling Relational Data with Graph Convolutional Networks ↗arXiv:1703.06103 · no summary yetMichael Schlichtkrull et al.2017 · 669 citations
5. Inducing Crosslingual Distributed Representations of WordsInternational Conference on Computational Linguistics (COLING)Alexandre Klementiev, Ivan Titov, Binod Bhattarai2012 · 513 citations
6. Editing Factual Knowledge in Language Models ↗Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yetNicola De Cao, Wilker Aziz, Ivan Titov2021 · 486 citations
7. Improving Massively Multilingual Neural Machine Translation and Zero-Shot TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Biao Zhang, Philip Williams, Ivan Titov, et al.2020 · 477 citations
8. Context-Aware Neural Machine Translation Learns Anaphora ResolutionAnnual Meeting of the Association for Computational Linguistics (ACL)Elena Voita, Pavel Serdyukov, Rico Sennrich, et al.2018 · 449 citations
9. Information-Theoretic Probing with Minimum Description LengthConference on Empirical Methods in Natural Language Processing (EMNLP)Elena Voita, Ivan Titov2020 · 345 citations
10. When a Good Translation is Wrong in Context: Context-Aware Machine Translation Improves on Deixis, Ellipsis, and Lexical CohesionAnnual Meeting of the Association for Computational Linguistics (ACL)Elena Voita, Rico Sennrich, Ivan Titov2019 · 323 citations
11. Improving Entity Linking by Modeling Latent Relations between Mentions ↗Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetPhong Le, Ivan Titov2018 · 288 citations
12. The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling ObjectivesConference on Empirical Methods in Natural Language Processing (EMNLP)Elena Voita, Rico Sennrich, Ivan Titov2019 · 225 citations
13. Graph Convolutional Encoders for Syntax-aware Neural Machine TranslationConference on Empirical Methods in Natural Language Processing (EMNLP)Jasmijn Bastings, Ivan Titov, Wilker Aziz, et al.2017 · 194 citations
14. Unsupervised Opinion Summarization as Copycat-Review GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Arthur Bražinskas, Mirella Lapata, Ivan Titov2020 · 173 citations
15. Context-Aware Monolingual Repair for Neural Machine TranslationConference on Empirical Methods in Natural Language Processing (EMNLP)Elena Voita, Rico Sennrich, Ivan Titov2019 · 161 citations
16. Question Answering by Reasoning Across Documents with Graph Convolutional NetworksConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Nicola De Cao, Wilker Aziz, Ivan Titov2019 · 138 citations
17. Interpretable Neural Predictions with Differentiable Binary VariablesAnnual Meeting of the Association for Computational Linguistics (ACL)Jasmijn Bastings, Wilker Aziz, Ivan Titov2019 · 135 citations
18. Single Document Summarization as Tree Induction ↗Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · no summary yetYang Liu, Ivan Titov, Mirella Lapata2019 · 127 citations
19. Improving Deep Transformer with Depth-Scaled Initialization and Merged Attention ↗Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yetBiao Zhang, Ivan Titov, Rico Sennrich2019 · 119 citations
20. Analyzing the Source and Target Contributions to Predictions in Neural Machine Translation ↗Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · no summary yetElena Voita, Rico Sennrich, Ivan Titov2021 · 113 citations
21. Few-Shot Learning for Opinion Summarization ↗Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yetArthur Bražinskas, Mirella Lapata, Ivan Titov2020 · 109 citations
22. Can Transformer be Too Compositional? Analysing Idiom Processing in Neural Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Verna Dankers, Christopher Lucas, Ivan Titov2022 · 106 citations
23. How do Decisions Emerge across Layers in Neural Models? Interpretation with Differentiable Masking ↗Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yetNicola De Cao et al.2020 · 102 citations
24. Multilingual Joint Parsing of Syntactic and Semantic Dependencies with a Latent Variable ModelComputational LinguisticsJames Henderson, Paola Merlo, Ivan Titov, et al.2013 · 97 citations
25. AMR Parsing as Graph Prediction with Latent Alignment ↗Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetChunchuan Lyu, Ivan Titov2018 · 96 citations
26. Meta-Learning for Domain Generalization in Semantic Parsing ↗Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetBailin Wang, Mirella Lapata, Ivan Titov2021 · 93 citations
27. A Simple and Accurate Syntax-Agnostic Neural Model for Dependency-based Semantic Role LabelingDiego Marcheggiani, Anton Frolov, Ivan TitovEnglish · 87 citations
28. Exploiting Semantics in Neural Machine Translation with Graph Convolutional Networks ↗Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers) · no summary yetDiego Marcheggiani, Jasmijn Bastings, Ivan Titov2018 · 74 citations
29. Boosting Entity Linking Performance by Leveraging Unlabeled DocumentsAnnual Meeting of the Association for Computational Linguistics (ACL)Phong Le, Ivan Titov2019 · 61 citations
30. Unsupervised rank aggregation with domain-specific expertise ↗International Joint Conference on Artificial Intelligence · no summary yetAlexandre Klementiev et al.2009 · 40 citations
31. Demons in the Detail: On Implementing Load Balancing Loss for Training Specialized Mixture-of-Expert ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zihan Qiu, Zeyu Huang, Bo Zheng, et al.2025 · 21 citations
32. A Differentiable Relaxation of Graph Segmentation and Alignment for AMR Parsing ↗Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yetChunchuan Lyu, Shay B. Cohen, Ivan Titov2021 · 20 citations
33. Sequential Learning of Classifiers for Structured Prediction Problems ↗no summary yetDan Roth, Kevin Small, Ivan S. Titov2009 · 12 citations
34. Hierarchical Phrase-Based Sequence-to-Sequence Learning ↗Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yetBailin Wang et al.2022 · 9 citations
35. A Closer Look into the Robustness of Neural Dependency Parsers Using Better Adversarial ExamplesYuxuan Wang, Wanxiang Che, Ivan Titov, et al.English · 8 citations
36. Anthropomimetic Uncertainty: What Verbalized Uncertainty in Language Models is MissingTransactions of the Association for Computational Linguistics (TACL)Dennis Ulmer, Alexandra Lorson, Ivan Titov, et al.2026 · 4 citations
37. Unsupervised Aggregation for Classification Problems with Large Numbers of Categories ↗no summary yetIvan S. Titov et al.2011 · 3 citations
38. Finding Culture-Sensitive Neurons in Vision-Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Xiutian Zhao, Rochelle Choenni, Rohit Saxena, et al.2026 · 2 citations
39. Controlling What You Share: Assessing Language Model Adherence to Privacy PreferencesFindings of the Association for Computational LinguisticsGuillem Ramírez, Alexandra Birch, Ivan Titov2026

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