NLPExplorer

Ivan Titov

Number of Papers:- 102

Number of Citations:- 569

First ACL Paper:- 2005

Latest ACL Paper:- 2024

Venues:-

IWPT

NAACL

CoNLL

COLING

EMNLP

Findings

TACL

GenBench

ACL

AdaptNLP

EACL

WMT

*SEMEVAL

IJCNLP

Co-Authors:-

Similar Authors:-

Cache & Distil: Optimising API Calls to Large Language Models F i n d i n g s - A C L

Guillem Ramírez | Matthias Lindemann | Alexandra Birch | Ivan Titov |

Unlearning Traces the Influential Training Data of Language Models ACL

Masaru Isonuma | Ivan Titov |

Generalisation First, Memorisation Second? Memorisation Localisation for Natural Language Classification Tasks F i n d i n g s - A C L

Verna Dankers | Ivan Titov |

SIP: Injecting a Structural Inductive Bias into a Seq2Seq Model by Simulation ACL

Matthias Lindemann | Alexander Koller | Ivan Titov |

Strengthening Structural Inductive Biases by Pre-training to Perform Syntactic Transformations EMNLP

Matthias Lindemann | Alexander Koller | Ivan Titov |

Compositional Generalisation with Structured Reordering and Fertility Layers EACL

Matthias Lindemann | Alexander Koller | Ivan Titov |

Latent Feature-based Data Splits to Improve Generalisation Evaluation: A Hate Speech Detection Case Study GenBench WS

Maike Züfle | Verna Dankers | Ivan Titov |

Cross-Modal Conceptualization in Bottleneck Models EMNLP

Subspace Chronicles: How Linguistic Information Emerges, Shifts and Interacts during Language Model Training F i n d i n g s - E M N L P

Max Müller-Eberstein | Rob van der Goot | Barbara Plank | Ivan Titov |

Compositional Generalization for Data-to-Text Generation F i n d i n g s - E M N L P

Xinnuo Xu | Ivan Titov | Mirella Lapata |

On the Transferability of Visually Grounded PCFGs F i n d i n g s - E M N L P

Yanpeng Zhao | Ivan Titov |

Memorisation Cartography: Mapping out the Memorisation-Generalisation Continuum in Neural Machine Translation EMNLP

Verna Dankers | Ivan Titov | Dieuwke Hupkes |

Compositional Generalization without Trees using Multiset Tagging and Latent Permutations ACL

Matthias Lindemann | Alexander Koller | Ivan Titov |

Can Transformer be Too Compositional? Analysing Idiom Processing in Neural Machine Translation ACL

Verna Dankers | Christopher Lucas | Ivan Titov |

Hierarchical Phrase-Based Sequence-to-Sequence Learning EMNLP

Bailin Wang | Ivan Titov | Jacob Andreas | Yoon Kim |

Recursive Neural Networks with Bottlenecks Diagnose (Non-)Compositionality F i n d i n g s - E M N L P

Verna Dankers | Ivan Titov |

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

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

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

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

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 |