Ivan Titov

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Rico SennrichUniversity of ZurichVerified email at cl.uzh.ch
James HendersonSenior Researcher, Idiap Research InstituteVerified email at idiap.ch
Diego MarcheggianiAmazonVerified email at amazon.es
Elena (Lena) VoitaResearch Scientist at Facebook AI ResearchVerified email at meta.com
Wilker AzizUniversity of AmsterdamVerified email at uva.nl
Alexandre KlementievPrincipal Applied Scientist, Amazon, SeattleVerified email at amazon.com
Michael Sejr SchlichtkrullPostdoctoral Research Associate, University of CambridgeVerified email at cst.cam.ac.uk
Thomas KipfSenior Research Scientist, Google BrainVerified email at google.com
Nicola De CaoResearch Scientist @ Google AIVerified email at google.com
Rianne van den BergPrincipal researcher, Microsoft ResearchVerified email at microsoft.com
Mirella LapataSchool of Informatics, Edinburgh UniversityVerified email at inf.ed.ac.uk
Jasmijn BastingsGoogleVerified email at google.com
Biao ZhangUniversity of EdinburghVerified email at ed.ac.uk
Ryan McDonaldASAPPVerified email at asapp.com
Max WellingProfessor Machine Learning, University of AmsterdamVerified email at uva.nl
Peter BloemVrije Universiteit AmsterdamVerified email at peterbloem.nl
Serhii HavrylovUniversity of EdinburghVerified email at ed.ac.uk
Binod BhattaraiAssistant Professor, University of AberdeenVerified email at abdn.ac.uk
Ashutosh ModiIndian Institute of Technology KanpurVerified email at cse.iitk.ac.in
Paola MerloProfessor of linguisticsVerified email at unige.ch

Ivan Titov

University of Edinburgh / University of Amsterdam

Verified email at inf.ed.ac.uk - Homepage

natural language processing machine learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Modeling relational data with graph convolutional networks M Schlichtkrull, TN Kipf, P Bloem, R Van Den Berg, I Titov, M Welling The Semantic Web: 15th International Conference, ESWC 2018, Heraklion, Crete …, 2018	3032	2018
Modeling online reviews with multi-grain topic models I Titov, R McDonald 17th International conference on World Wide Web (WWW), 111-120, 2008	984	2008
A joint model of text and aspect ratings for sentiment summarization I Titov, R McDonald ACL, 308-316, 2008	835	2008
Encoding sentences with graph convolutional networks for semantic role labeling D Marcheggiani, I Titov EMNLP, 2017	798	2017
Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned E Voita, D Talbot, F Moiseev, R Sennrich, I Titov ACL, 2019	612	2019
Graph convolutional encoders for syntax-aware neural machine translation J Bastings, I Titov, W Aziz, D Marcheggiani, K Sima'an EMNLP, 2017	513	2017
Translating video content to natural language descriptions M Rohrbach, W Qiu, I Titov, S Thater, M Pinkal, B Schiele ICCV, 433-440, 2013	415	2013
Inducing Crosslingual Distributed Representations of Words A Klementiev, I Titov, B Bhattarai COLING, 2012	401	2012
Context-aware neural machine translation learns anaphora resolution E Voita, P Serdyukov, R Sennrich, I Titov ACL, 2018	248	2018
Emergence of language with multi-agent games: Learning to communicate with sequences of symbols S Havrylov, I Titov NeurIPS, 2149-2159, 2017	227	2017
Question answering by reasoning across documents with graph convolutional networks N De Cao, W Aziz, I Titov NAACL, 2019	211	2019
Exploiting semantics in neural machine translation with graph convolutional networks D Marcheggiani, J Bastings, I Titov NAACL, 2018	191	2018
Improving entity linking by modeling latent relations between mentions P Le, I Titov ACL, 2018	177	2018
Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation B Zhang, P Williams, I Titov, R Sennrich ACL 2020, 2020	172	2020
Information-Theoretic Probing with Minimum Description Length E Voita, I Titov EMNLP 2020, 2020	162	2020
Interpretable Neural Predictions with Differentiable Binary Variables J Bastings, W Aziz, I Titov ACL, 2019	156	2019
When a Good Translation is Wrong in Context: Context-Aware Machine Translation Improves on Deixis, Ellipsis, and Lexical Cohesion E Voita, R Sennrich, I Titov ACL, 2019	144	2019
Amr parsing as graph prediction with latent alignment C Lyu, I Titov ACL, 2018	126	2018
A simple and accurate syntax-agnostic neural model for dependency-based semantic role labeling D Marcheggiani, A Frolov, I Titov CoNLL, 2017	118	2017
A latent variable model for generative dependency parsing I Titov, J Henderson Trends in Parsing Technology / IWPT, 35-55, 2010	116	2010

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