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Ivan Titov
Number of Papers:- 86
Number of Citations:- 569
First ACL Paper:- 2005
Latest ACL Paper:- 2021
Venues:-
EMNLP
CoNLL
EACL
TACL
AdaptNLP
NAACL
WMT
IJCNLP
IWPT
Findings
COLING
WS
*SEMEVAL
ACL
CL
Co-Authors:-
Alexander Koller
Alexandra Birch
Alexandre Klementiev
Andrea Gesmundo
Angeliki Lazaridou
Similar Authors:-
Jiachen Liu
Caihua Li
Kheng Hui Yeo
Arthur Niswar
Bob Frank
2021
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2015
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2006
2005
An Empirical Study of Compound PCFGs
AdaptNLP
EACL
Yanpeng Zhao |
Ivan Titov |
Learning from Executions for Semantic Parsing
NAACL
Bailin Wang |
Mirella Lapata |
Ivan Titov |
Meta-Learning for Domain Generalization in Semantic Parsing
NAACL
Bailin Wang |
Mirella Lapata |
Ivan Titov |
Analyzing the Source and Target Contributions to Predictions in Neural Machine Translation
ACL
IJCNLP
Elena Voita |
Rico Sennrich |
Ivan Titov |
Editing Factual Knowledge in Language Models
EMNLP
Nicola De Cao |
Wilker Aziz |
Ivan Titov |
Meta-Learning to Compositionally Generalize
ACL
IJCNLP
Henry Conklin |
Bailin Wang |
Kenny Smith |
Ivan Titov |
A Differentiable Relaxation of Graph Segmentation and Alignment for AMR Parsing
EMNLP
Chunchuan Lyu |
Shay B. Cohen |
Ivan Titov |
On Sparsifying Encoder Outputs in Sequence-to-Sequence Models
Findings
Biao Zhang |
Ivan Titov |
Rico Sennrich |
Exploring Unsupervised Pretraining Objectives for Machine Translation
Findings
Christos Baziotis |
Ivan Titov |
Alexandra Birch |
Barry Haddow |
Highly Parallel Autoregressive Entity Linking with Discriminative Correction
EMNLP
Nicola De Cao |
Wilker Aziz |
Ivan Titov |
Beyond Sentence-Level End-to-End Speech Translation: Context Helps
ACL
IJCNLP
Biao Zhang |
Ivan Titov |
Barry Haddow |
Rico Sennrich |
A Closer Look into the Robustness of Neural Dependency Parsers Using Better Adversarial Examples
Findings
Yuxuan Wang |
Wanxiang Che |
Ivan Titov |
Shay B. Cohen |
Zhilin Lei |
Ting Liu |
Learning Opinion Summarizers by Selecting Informative Reviews
EMNLP
Arthur Bražinskas |
Mirella Lapata |
Ivan Titov |
Language Modeling, Lexical Translation, Reordering: The Training Process of NMT through the Lens of Classical SMT
EMNLP
Elena Voita |
Rico Sennrich |
Ivan Titov |
Sparse Attention with Linear Units
EMNLP
Biao Zhang |
Ivan Titov |
Rico Sennrich |
Obfuscation for Privacy-preserving Syntactic Parsing
ACL
IWPT
WS
Zhifeng Hu |
Serhii Havrylov |
Ivan Titov |
Shay B. Cohen |
Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation
ACL
Biao Zhang |
Philip Williams |
Ivan Titov |
Rico Sennrich |
Unsupervised Opinion Summarization as Copycat-Review Generation
ACL
Arthur Bražinskas |
Mirella Lapata |
Ivan Titov |
Adaptive Feature Selection for End-to-End Speech Translation
EMNLP
Findings
Biao Zhang |
Ivan Titov |
Barry Haddow |
Rico Sennrich |
Fast Interleaved Bidirectional Sequence Generation
EMNLP
WMT
Biao Zhang |
Ivan Titov |
Rico Sennrich |
Detecting Word Sense Disambiguation Biases in Machine Translation for Model-Agnostic Adversarial Attacks
EMNLP
Denis Emelin |
Ivan Titov |
Rico Sennrich |
Graph Convolutions over Constituent Trees for Syntax-Aware Semantic Role Labeling
EMNLP
Diego Marcheggiani |
Ivan Titov |
How do Decisions Emerge across Layers in Neural Models? Interpretation with Differentiable Masking
EMNLP
Nicola De Cao |
Michael Sejr Schlichtkrull |
Wilker Aziz |
Ivan Titov |
Few-Shot Learning for Opinion Summarization
EMNLP
Arthur Bražinskas |
Mirella Lapata |
Ivan Titov |
Visually Grounded Compound PCFGs
EMNLP
Yanpeng Zhao |
Ivan Titov |
Information-Theoretic Probing with Minimum Description Length
EMNLP
Elena Voita |
Ivan Titov |
Context-Aware Monolingual Repair for Neural Machine Translation
EMNLP
Elena Voita |
Rico Sennrich |
Ivan Titov |
Improving Deep Transformer with Depth-Scaled Initialization and Merged Attention
EMNLP
Biao Zhang |
Ivan Titov |
Rico Sennrich |
Semantic Role Labeling with Iterative Structure Refinement
EMNLP
Chunchuan Lyu |
Shay B. Cohen |
Ivan Titov |
Learning Semantic Parsers from Denotations with Latent Structured Alignments and Abstract Programs
EMNLP
Bailin Wang |
Ivan Titov |
Mirella Lapata |
The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives
EMNLP
Elena Voita |
Rico Sennrich |
Ivan Titov |
Capturing Argument Interaction in Semantic Role Labeling with Capsule Networks
EMNLP
Xinchi Chen |
Chunchuan Lyu |
Ivan Titov |
Single Document Summarization as Tree Induction
NAACL
Yang Liu |
Ivan Titov |
Mirella Lapata |
Question Answering by Reasoning Across Documents with Graph Convolutional Networks
NAACL
Nicola De Cao |
Wilker Aziz |
Ivan Titov |
When a Good Translation is Wrong in Context: Context-Aware Machine Translation Improves on Deixis, Ellipsis, and Lexical Cohesion
ACL
Elena Voita |
Rico Sennrich |
Ivan Titov |
Boosting Entity Linking Performance by Leveraging Unlabeled Documents
ACL
Phong Le |
Ivan Titov |
Interpretable Neural Predictions with Differentiable Binary Variables
ACL
Joost Bastings |
Wilker Aziz |
Ivan Titov |
Distant Learning for Entity Linking with Automatic Noise Detection
ACL
Phong Le |
Ivan Titov |
Learning Latent Trees with Stochastic Perturbations and Differentiable Dynamic Programming
ACL
Caio Corro |
Ivan Titov |
Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned
ACL
Elena Voita |
David Talbot |
Fedor Moiseev |
Rico Sennrich |
Ivan Titov |
Widening the Representation Bottleneck in Neural Machine Translation with Lexical Shortcuts
ACL
WMT
WS
Denis Emelin |
Ivan Titov |
Rico Sennrich |
Embedding Words as Distributions with a Bayesian Skip-gram Model
COLING
Arthur Bražinskas |
Serhii Havrylov |
Ivan Titov |
Exploiting Semantics in Neural Machine Translation with Graph Convolutional Networks
NAACL
Diego Marcheggiani |
Joost Bastings |
Ivan Titov |
AMR Parsing as Graph Prediction with Latent Alignment
ACL
Chunchuan Lyu |
Ivan Titov |
Context-Aware Neural Machine Translation Learns Anaphora Resolution
ACL
Elena Voita |
Pavel Serdyukov |
Rico Sennrich |
Ivan Titov |
Improving Entity Linking by Modeling Latent Relations between Mentions
ACL
Phong Le |
Ivan Titov |
Proceedings of the 22nd Conference on Computational Natural Language Learning
CoNLL
Anna Korhonen |
Ivan Titov |
Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling
EMNLP
Diego Marcheggiani |
Ivan Titov |
Graph Convolutional Encoders for Syntax-aware Neural Machine Translation
EMNLP
Joost Bastings |
Ivan Titov |
Wilker Aziz |
Diego Marcheggiani |
Khalil Sima’an |
Semantic Role Labeling
EMNLP
Diego Marcheggiani |
Michael Roth |
Ivan Titov |
Benjamin Van Durme |
Optimizing Differentiable Relaxations of Coreference Evaluation Metrics
CoNLL
Phong Le |
Ivan Titov |
A Simple and Accurate Syntax-Agnostic Neural Model for Dependency-based Semantic Role Labeling
CoNLL
Diego Marcheggiani |
Anton Frolov |
Ivan Titov |
Modeling Semantic Expectation: Using Script Knowledge for Referent Prediction
TACL
Ashutosh Modi |
Ivan Titov |
Vera Demberg |
Asad Sayeed |
Manfred Pinkal |
Bilingual Learning of Multi-sense Embeddings with Discrete Autoencoders
NAACL
Simon Šuster |
Ivan Titov |
Gertjan van Noord |
Adapting to All Domains at Once: Rewarding Domain Invariance in SMT
TACL
Hoang Cuong |
Khalil Sima’an |
Ivan Titov |
Discrete-State Variational Autoencoders for Joint Discovery and Factorization of Relations
TACL
Diego Marcheggiani |
Ivan Titov |
Proceedings of the Fifth Joint Conference on Lexical and Computational Semantics
*SEMEVAL
Claire Gardent |
Raffaella Bernardi |
Ivan Titov |
Unsupervised Induction of Semantic Roles within a Reconstruction-Error Minimization Framework
NAACL
Ivan Titov |
Ehsan Khoddam |
A Hierarchical Bayesian Model for Unsupervised Induction of Script Knowledge
EACL
Lea Frermann |
Ivan Titov |
Manfred Pinkal |
Improved Estimation of Entropy for Evaluation of Word Sense Induction
CL
Linlin Li |
Ivan Titov |
Caroline Sporleder |
Cross-lingual Model Transfer Using Feature Representation Projection
ACL
Mikhail Kozhevnikov |
Ivan Titov |
Inducing Neural Models of Script Knowledge
CoNLL
WS
Ashutosh Modi |
Ivan Titov |
Predicting the Resolution of Referring Expressions from User Behavior
EMNLP
Nikos Engonopoulos |
Martín Villalba |
Ivan Titov |
Alexander Koller |
Multilingual Joint Parsing of Syntactic and Semantic Dependencies with a Latent Variable Model
CL
James Henderson |
Paola Merlo |
Ivan Titov |
Gabriele Musillo |
Semantic Role Labeling
NAACL
Martha Palmer |
Ivan Titov |
Shumin Wu |
Cross-lingual Transfer of Semantic Role Labeling Models
ACL
Mikhail Kozhevnikov |
Ivan Titov |
A Bayesian Model for Joint Unsupervised Induction of Sentiment, Aspect and Discourse Representations
ACL
Angeliki Lazaridou |
Ivan Titov |
Caroline Sporleder |
Bootstrapping Semantic Role Labelers from Parallel Data
*SEMEVAL
Mikhail Kozhevnikov |
Ivan Titov |
Inducing Crosslingual Distributed Representations of Words
COLING
Alexandre Klementiev |
Ivan Titov |
Binod Bhattarai |
Semi-Supervised Semantic Role Labeling: Approaching from an Unsupervised Perspective
COLING
Ivan Titov |
Alexandre Klementiev |
A Bayesian Approach to Unsupervised Semantic Role Induction
EACL
Ivan Titov |
Alexandre Klementiev |
Crosslingual Induction of Semantic Roles
ACL
Ivan Titov |
Alexandre Klementiev |
Unsupervised Induction of Frame-Semantic Representations
NAACL
WS
Ashutosh Modi |
Ivan Titov |
Alexandre Klementiev |
Domain Adaptation by Constraining Inter-Domain Variability of Latent Feature Representation
ACL
Ivan Titov |
A Bayesian Model for Unsupervised Semantic Parsing
ACL
Ivan Titov |
Alexandre Klementiev |
Bootstrapping Semantic Analyzers from Non-Contradictory Texts
ACL
Ivan Titov |
Mikhail Kozhevnikov |
Unsupervised Discourse Segmentation of Documents with Inherently Parallel Structure
ACL
Minwoo Jeong |
Ivan Titov |
A Latent Variable Model of Synchronous Syntactic-Semantic Parsing for Multiple Languages
CoNLL
WS
Andrea Gesmundo |
James Henderson |
Paola Merlo |
Ivan Titov |
A Joint Model of Text and Aspect Ratings for Sentiment Summarization
ACL
Ivan Titov |
Ryan McDonald |
A Latent Variable Model of Synchronous Parsing for Syntactic and Semantic Dependencies
CoNLL
WS
James Henderson |
Paola Merlo |
Gabriele Musillo |
Ivan Titov |
Fast and Robust Multilingual Dependency Parsing with a Generative Latent Variable Model
CoNLL
EMNLP
Ivan Titov |
James Henderson |
Constituent Parsing with Incremental Sigmoid Belief Networks
ACL
Ivan Titov |
James Henderson |
A Latent Variable Model for Generative Dependency Parsing
IWPT
WS
Ivan Titov |
James Henderson |
Loss Minimization in Parse Reranking
EMNLP
WS
Ivan Titov |
James Henderson |
Porting Statistical Parsers with Data-Defined Kernels
CoNLL
WS
Ivan Titov |
James Henderson |
Data-Defined Kernels for Parse Reranking Derived from Probabilistic Models
ACL
James Henderson |
Ivan Titov |
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