Ivan Titov
Ivan Titov
University of Edinburgh / University of Amsterdam
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα inf.ed.ac.uk - Αρχική σελίδα
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Παρατίθεται από
Παρατίθεται από
Έτος
Modeling relational data with graph convolutional networks
M Schlichtkrull, TN Kipf, P Bloem, R Van Den Berg, I Titov, M Welling
European semantic web conference, 593-607, 2018
11692018
Modeling online reviews with multi-grain topic models
I Titov, R McDonald
17th International conference on World Wide Web (WWW), 111-120, 2008
9202008
A joint model of text and aspect ratings for sentiment summarization
I Titov, R McDonald
ACL, 308-316, 2008
7642008
Encoding sentences with graph convolutional networks for semantic role labeling
D Marcheggiani, I Titov
EMNLP, 2017
4602017
Inducing Crosslingual Distributed Representations of Words
A Klementiev, I Titov, B Bhattarai
COLING, 2012
3612012
Translating video content to natural language descriptions
M Rohrbach, W Qiu, I Titov, S Thater, M Pinkal, B Schiele
ICCV, 433-440, 2013
3452013
Graph convolutional encoders for syntax-aware neural machine translation
J Bastings, I Titov, W Aziz, D Marcheggiani, K Sima'an
EMNLP, 2017
2872017
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
2312019
Context-aware neural machine translation learns anaphora resolution
E Voita, P Serdyukov, R Sennrich, I Titov
ACL, 2018
1582018
Emergence of language with multi-agent games: Learning to communicate with sequences of symbols
S Havrylov, I Titov
NeurIPS, 2149-2159, 2017
1532017
A latent variable model for generative dependency parsing
I Titov, J Henderson
Trends in Parsing Technology / IWPT, 35-55, 2010
1122010
Question answering by reasoning across documents with graph convolutional networks
N De Cao, W Aziz, I Titov
NAACL, 2019
1012019
Exploiting semantics in neural machine translation with graph convolutional networks
D Marcheggiani, J Bastings, I Titov
NAACL, 2018
932018
A Bayesian approach to unsupervised semantic role induction
I Titov, A Klementiev
EACL, 12-22, 2012
922012
A simple and accurate syntax-agnostic neural model for dependency-based semantic role labeling
D Marcheggiani, A Frolov, I Titov
CoNLL, 2017
902017
Improving entity linking by modeling latent relations between mentions
P Le, I Titov
ACL, 2018
812018
A Bayesian model for joint unsupervised induction of sentiment, aspect and discourse representations
A Lazaridou, I Titov, C Sporleder
ACL, 1630-1639, 2013
802013
Amr parsing as graph prediction with latent alignment
C Lyu, I Titov
ACL, 2018
732018
Inducing neural models of script knowledge
A Modi, I Titov
CoNLL, 49-57, 2014
682014
A Bayesian model for unsupervised semantic parsing
I Titov, A Klementiev
ACL, 1445-1455, 2011
662011
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