Ivan Titov

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Meta-Learning to Compositionally Generalize.

[BibT_eX]

[DOI]

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Exploring Unsupervised Pretraining Objectives for Machine Translation.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Unsupervised Transfer of Semantic Role Models from Verbal to Nominal Domain.

[BibT_eX]

[DOI]

Yanpeng Zhao

CoRR, 2020

Few-Shot Learning for Abstractive Multi-Document Opinion Summarization.

[BibT_eX]

[DOI]

CoRR, 2020

Preventing Posterior Collapse with Levenshtein Variational Autoencoder.

[BibT_eX]

[DOI]

Serhii Havrylov

CoRR, 2020

Fast Interleaved Bidirectional Sequence Generation.

[BibT_eX]

[DOI]

Biao Zhang

Proceedings of the Fifth Conference on Machine Translation, 2020

Obfuscation for Privacy-preserving Syntactic Parsing.

[BibT_eX]

[DOI]

Proceedings of the 16th International Conference on Parsing Technologies and the IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies, 2020

Visually Grounded Compound PCFGs.

[BibT_eX]

[DOI]

Yanpeng Zhao

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Adaptive Feature Selection for End-to-End Speech Translation.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Information-Theoretic Probing with Minimum Description Length.

[BibT_eX]

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Graph Convolutions over Constituent Trees for Syntax-Aware Semantic Role Labeling.

[BibT_eX]

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Detecting Word Sense Disambiguation Biases in Machine Translation for Model-Agnostic Adversarial Attacks.

[BibT_eX]

[DOI]

Denis Emelin

Michael Sejr Schlichtkrull

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

How do Decisions Emerge across Layers in Neural Models? Interpretation with Differentiable Masking.

[BibT_eX]

[DOI]

Nicola De Cao

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Few-Shot Learning for Opinion Summarization.

[BibT_eX]

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Speedable Left-c.e. Numbers.

[BibT_eX]

[DOI]

Wolfgang Merkle

Proceedings of the Computer Science - Theory and Applications, 2020

Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation.

[BibT_eX]

[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Unsupervised Opinion Summarization as Copycat-Review Generation.

[BibT_eX]

[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Unsupervised Multi-Document Opinion Summarization as Copycat-Review Generation.

[BibT_eX]

[DOI]

CoRR, 2019

The Emergence of Compositional Languages for Numeric Concepts Through Iterated Learning in Neural Agents.

[BibT_eX]

[DOI]

CoRR, 2019

Modeling Latent Sentence Structure in Neural Machine Translation.

[BibT_eX]

[DOI]

CoRR, 2019

Widening the Representation Bottleneck in Neural Machine Translation with Lexical Shortcuts.

[BibT_eX]

[DOI]

Denis Emelin

Proceedings of the Fourth Conference on Machine Translation, 2019

Block Neural Autoregressive Flow.

[BibT_eX]

[DOI]

Nicola De Cao

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Single Document Summarization as Tree Induction.

[BibT_eX]

[DOI]

Yang Liu

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Question Answering by Reasoning Across Documents with Graph Convolutional Networks.

[BibT_eX]

[DOI]

Nicola De Cao

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Global Under-Resourced Media Translation (GoURMET).

[BibT_eX]

[DOI]

Alexandra Birch

Barry Haddow

Antonio Valerio Miceli Barone

Rachel Bawden

Felipe Sánchez-Martínez

Mikel L. Forcada

Miquel Esplà-Gomis

Víctor M. Sánchez-Cartagena

Juan Antonio Pérez-Ortiz

Andrew Secker

Peggy van der Kreeft

Proceedings of Machine Translation Summit XVII Volume 2: Translator, 2019

Differentiable Perturb-and-Parse: Semi-Supervised Parsing with a Structured Variational Autoencoder.

[BibT_eX]

[DOI]

Caio Corro

Proceedings of the 7th International Conference on Learning Representations, 2019

Improving Deep Transformer with Depth-Scaled Initialization and Merged Attention.

[BibT_eX]

[DOI]

Biao Zhang

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Learning Semantic Parsers from Denotations with Latent Structured Alignments and Abstract Programs.

[BibT_eX]

[DOI]

Bailin Wang

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Context-Aware Monolingual Repair for Neural Machine Translation.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Semantic Role Labeling with Iterative Structure Refinement.

[BibT_eX]

[DOI]

Chunchuan Lyu

Shay B. Cohen

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Capturing Argument Interaction in Semantic Role Labeling with Capsule Networks.

[BibT_eX]

[DOI]

Xinchi Chen

Chunchuan Lyu

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned.

[BibT_eX]

[DOI]

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

When a Good Translation is Wrong in Context: Context-Aware Machine Translation Improves on Deixis, Ellipsis, and Lexical Cohesion.

[BibT_eX]

[DOI]

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Distant Learning for Entity Linking with Automatic Noise Detection.

[BibT_eX]

[DOI]

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Boosting Entity Linking Performance by Leveraging Unlabeled Documents.

[BibT_eX]

[DOI]

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Learning Latent Trees with Stochastic Perturbations and Differentiable Dynamic Programming.

[BibT_eX]

[DOI]

Caio Corro

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Interpretable Neural Predictions with Differentiable Binary Variables.

[BibT_eX]

[DOI]

Jasmijn Bastings

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Exploiting Semantics in Neural Machine Translation with Graph Convolutional Networks.

[BibT_eX]

[DOI]

Jasmijn Bastings

Michael Sejr Schlichtkrull

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Modeling Relational Data with Graph Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the Semantic Web - 15th International Conference, 2018

Embedding Words as Distributions with a Bayesian Skip-gram Model.

[BibT_eX]

[DOI]

Serhii Havrylov

Proceedings of the 27th International Conference on Computational Linguistics, 2018

Context-Aware Neural Machine Translation Learns Anaphora Resolution.

[BibT_eX]

[DOI]

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Improving Entity Linking by Modeling Latent Relations between Mentions.

[BibT_eX]

[DOI]

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

AMR Parsing as Graph Prediction with Latent Alignment.

[BibT_eX]

[DOI]

Chunchuan Lyu

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Modelling Semantic Expectation: Using Script Knowledge for Referent Prediction.

[BibT_eX]

[DOI]

Trans. Assoc. Comput. Linguistics, 2017

Modeling Semantic Expectation: Using Script Knowledge for Referent Prediction.

[BibT_eX]

[DOI]

CoRR, 2017

Emergence of Language with Multi-agent Games: Learning to Communicate with Sequences of Symbols.

[BibT_eX]

[DOI]

Serhii Havrylov

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling.

[BibT_eX]

[DOI]

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Graph Convolutional Encoders for Syntax-aware Neural Machine Translation.

[BibT_eX]

[DOI]

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

A Simple and Accurate Syntax-Agnostic Neural Model for Dependency-based Semantic Role Labeling.

[BibT_eX]

[DOI]

Anton Frolov

Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017), 2017

Optimizing Differentiable Relaxations of Coreference Evaluation Metrics.

[BibT_eX]

[DOI]

Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017), 2017

2016

Discrete-State Variational Autoencoders for Joint Discovery and Factorization of Relations.

[BibT_eX]

[DOI]

Trans. Assoc. Comput. Linguistics, 2016

Adapting to All Domains at Once: Rewarding Domain Invariance in SMT.

[BibT_eX]

[DOI]

Cuong Hoang

Khalil Sima'an

Trans. Assoc. Comput. Linguistics, 2016

Bilingual Learning of Multi-sense Embeddings with Discrete Autoencoders.

[BibT_eX]

[DOI]

Simon Suster

Gertjan van Noord

Proceedings of the NAACL HLT 2016, 2016

2015

Inducing Semantic Representation from Text by Jointly Predicting and Factorizing Relations.

[BibT_eX]

[DOI]

Ehsan Khoddam

Proceedings of the 3rd International Conference on Learning Representations, 2015

Word Representations, Tree Models and Syntactic Functions.

[BibT_eX]

[DOI]

Simon Suster

Gertjan van Noord

CoRR, 2015

Unsupervised Induction of Semantic Roles within a Reconstruction-Error Minimization Framework.

[BibT_eX]

[DOI]

Ehsan Khoddam

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

2014

Learning Semantic Script Knowledge with Event Embeddings.

[BibT_eX]

[DOI]

Ashutosh Modi

Proceedings of the 2nd International Conference on Learning Representations, 2014

Improved Estimation of Entropy for Evaluation of Word Sense Induction.

[BibT_eX]

[DOI]

Linlin Li

Caroline Sporleder

Comput. Linguistics, 2014

A Hierarchical Bayesian Model for Unsupervised Induction of Script Knowledge.

[BibT_eX]

[DOI]

Lea Frermann

Manfred Pinkal

Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, 2014

Inducing Neural Models of Script Knowledge.

[BibT_eX]

[DOI]

Ashutosh Modi

Proceedings of the Eighteenth Conference on Computational Natural Language Learning, 2014

Cross-lingual Model Transfer Using Feature Representation Projection.

[BibT_eX]

[DOI]

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013

Multilingual Joint Parsing of Syntactic and Semantic Dependencies with a Latent Variable Model.

[BibT_eX]

[DOI]

Comput. Linguistics, 2013

Bootstrapping Semantic Role Labelers from Parallel Data.

[BibT_eX]

[DOI]

Proceedings of the Second Joint Conference on Lexical and Computational Semantics, 2013

Semantic Role Labeling.

[BibT_eX]

[DOI]

Martha Palmer

Shumin Wu

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013

Translating Video Content to Natural Language Descriptions.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2013

Predicting the Resolution of Referring Expressions from User Behavior.

[BibT_eX]

[DOI]

Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

A Bayesian Model for Joint Unsupervised Induction of Sentiment, Aspect and Discourse Representations.

[BibT_eX]

[DOI]

Angeliki Lazaridou

Caroline Sporleder

Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

Cross-lingual Transfer of Semantic Role Labeling Models.

[BibT_eX]

[DOI]

Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012

A Bayesian Approach to Unsupervised Semantic Role Induction.

[BibT_eX]

[DOI]

Proceedings of the EACL 2012, 2012

Semi-Supervised Semantic Role Labeling: Approaching from an Unsupervised Perspective.

[BibT_eX]

[DOI]

Proceedings of the COLING 2012, 2012

Inducing Crosslingual Distributed Representations of Words.

[BibT_eX]

[DOI]

Binod Bhattarai

Proceedings of the COLING 2012, 2012

Crosslingual Induction of Semantic Roles.

[BibT_eX]

[DOI]

Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

2011

A Bayesian Model for Unsupervised Semantic Parsing.

[BibT_eX]

[DOI]

Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

Domain Adaptation by Constraining Inter-Domain Variability of Latent Feature Representation.

[BibT_eX]

[DOI]

Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

2010

Unsupervised Aggregation for Classification Problems with Large Numbers of Categories.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Incremental Sigmoid Belief Networks for Grammar Learning.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2010

Multi-document topic segmentation.

[BibT_eX]

[DOI]

Minwoo Jeong

Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Bootstrapping Semantic Analyzers from Non-Contradictory Texts.

[BibT_eX]

[DOI]

Proceedings of the ACL 2010, 2010

Unsupervised Discourse Segmentation of Documents with Inherently Parallel Structure.

[BibT_eX]

[DOI]

Minwoo Jeong

Proceedings of the ACL 2010, 2010

A Latent Variable Model for Generative Dependency Parsing.

[BibT_eX]

[DOI]

Proceedings of the Trends in Parsing Technology, 2010

2009

Sequential Learning of Classifiers for Structured Prediction Problems.

[BibT_eX]

[DOI]

Dan Roth

Kevin Small

Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Online Graph Planarisation for Synchronous Parsing of Semantic and Syntactic Dependencies.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2009, 2009

Unsupervised Rank Aggregation with Domain-Specific Expertise.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2009, 2009

A Latent Variable Model of Synchronous Syntactic-Semantic Parsing for Multiple Languages.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth Conference on Computational Natural Language Learning: Shared Task, 2009

2008

Exploiting non-linear probabilistic models in natural language parsing and reranking.

[BibT_eX]

[DOI]

PhD thesis, 2008

Modeling online reviews with multi-grain topic models.

[BibT_eX]

[DOI]

Ryan T. McDonald

Proceedings of the 17th International Conference on World Wide Web, 2008

A Latent Variable Model of Synchronous Parsing for Syntactic and Semantic Dependencies.

[BibT_eX]

[DOI]

Proceedings of the Twelfth Conference on Computational Natural Language Learning, 2008

A Joint Model of Text and Aspect Ratings for Sentiment Summarization.

[BibT_eX]

[DOI]

Ryan T. McDonald

Proceedings of the ACL 2008, 2008

2007

A Latent Variable Model for Generative Dependency Parsing.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Parsing Technologies, 2007

Incremental Bayesian networks for structure prediction.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2007

Fast and Robust Multilingual Dependency Parsing with a Generative Latent Variable Model.

[BibT_eX]

[DOI]

Proceedings of the EMNLP-CoNLL 2007, 2007

Constituent Parsing with Incremental Sigmoid Belief Networks.

[BibT_eX]

[DOI]

Proceedings of the ACL 2007, 2007

2006

Loss Minimization in Parse Reranking.

[BibT_eX]

[DOI]

Proceedings of the EMNLP 2006, 2006

Porting Statistical Parsers with Data-Defined Kernels.

[BibT_eX]

[DOI]

Proceedings of the Tenth Conference on Computational Natural Language Learning, 2006

2005

Data-Defined Kernels for Parse Reranking Derived from Probabilistic Models.

[BibT_eX]

[DOI]