Induction of Broad-Coverage Semantic Parsers

Pubblicazioni

Obfuscation for Privacy-preserving Syntactic Parsing

Autori: Zhifeng Hu; Serhii Havrylov; Ivan Titov; Shay B. Cohen
Pubblicato in: IWPT 2020, Numero 20, 2020
Editore: ACL
DOI: 10.18653/v1/2020.iwpt-1.7

Analyzing the Source and Target Contributions to Predictions in Neural Machine Translation

Autori: Elena Voita; Rico Sennrich; Ivan Titov
Pubblicato in: ACL/IJCNLP (1), Numero 28, 2021
Editore: ACL
DOI: 10.18653/v1/2021.acl-long.91

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

Autori: Verna Dankers, Christopher G. Lucas, Ivan Tito
Pubblicato in: ACL, 2022
Editore: ACL

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

Autori: Diego Marcheggiani; Ivan Titov
Pubblicato in: EMNLP, 2020
Editore: ACL
DOI: 10.18653/v1/2020.emnlp-main.322

Meta-Learning to Compositionally Generalize

Autori: Henry Conklin; Bailin Wang; Kenny Smith; Ivan Titov
Pubblicato in: ACL/IJCNLP, 2021
Editore: ACL
DOI: 10.18653/v1/2021.acl-long.258

Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation

Autori: Zhang, Biao, Williams, Philip, Titov, Ivan, and Sennrich, Rico
Pubblicato in: ACL, 2020
Editore: ACL

A Closer Look into the Robustness of Neural Dependency Parsers Using Better Adversarial Examples

Autori: Wang, Yuxuan, Che, Wanxiang, Titov, Ivan, Cohen, Shay B., Lei, Zhilin, and Liu, Ting
Pubblicato in: Findings of ACL 2021, 2020
Editore: ACL

A Differentiable Relaxation of Graph Segmentation and Alignment for AMR Parsing

Autori: Chunchuan Lyu; Shay B. Cohen; Ivan Titov
Pubblicato in: EMNLP, Numero 2, 2021
Editore: ACL
DOI: 10.18653/v1/2021.emnlp-main.714

Visually Grounded Compound PCFGs

Autori: Yanpeng Zhao; Ivan Titov
Pubblicato in: EMNLP, 2020
Editore: ACL
DOI: 10.18653/v1/2020.emnlp-main.354

Structured Reordering for Modeling Latent Alignments in Sequence Transduction

Autori: Bailin Wang, Mirella Lapata, Ivan Titov
Pubblicato in: NeurIPS, 2021
Editore: NeurIPS

Adaptive Feature Selection for End-to-End Speech Translation

Autori: Biao Zhang; Ivan Titov; Barry Haddow; Rico Sennrich
Pubblicato in: Zhang , B , Titov , I , Haddow , B & Sennrich , R 2020 , Adaptive Feature Selection for End-to-End Speech Translation . in Findings of the Association for Computational Linguistics: EMNLP 2020 . pp. 2533-2544 , The 2020 Conference on Empirical Methods in Natural Language Processing , Virtual conference , 16/11/20 . https://doi.org/10.18653/v1/2020.findings-emnlp.230, Numero 39, 2020
Editore: ACL
DOI: 10.18653/v1/2020.findings-emnlp.230

Editing Factual Knowledge in Language Models

Autori: Nicola De Cao, Wilker Aziz, Ivan Titov
Pubblicato in: EMNLP, 2021
Editore: ACL

Highly Parallel Autoregressive Entity Linking with Discriminative Correction

Autori: De Cao, Nicola, Aziz, Wilker, and Titov, Ivan
Pubblicato in: In Proceedings of EMNLP (short papers) 2021, 2021
Editore: ACL

Learning Opinion Summarizers by Selecting Informative Reviews

Autori: Arthur Bražinskas, Mirella Lapata, Ivan Titov
Pubblicato in: EMNLP, 2021
Editore: ACL

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

Autori: Emelin, Denis, Titov, Ivan, and Sennrich, Rico
Pubblicato in: EMNLP 2020, 2020
Editore: ACL

Sparse Attention with Linear Units

Autori: Zhang, Biao, Titov, Ivan, and Sennrich, Rico
Pubblicato in: Proceedings of EMNLP 2021, 2021
Editore: ACL

Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling

Autori: Marcheggiani, Diego; Titov, Ivan
Pubblicato in: Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2018, Pagina/e 1506–1515
Editore: ACL

Context-Aware Neural Machine Translation Learns Anaphora Resolution

Autori: Voita, Elena; Serdyukov, Pavel; Sennrich, Rico; Titov, Ivan
Pubblicato in: Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018, Pagina/e 1264-1274
Editore: ACL

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

Autori: Havrylov, Serhii; Titov, Ivan
Pubblicato in: Advances in Neural Information Processing Systems (NIPS), 2017
Editore: NIPS

Modeling Relational Data with Graph Convolutional Networks

Autori: Schlichtkrull, Michael; Kipf, Thomas N.; Bloem, Peter; Berg, Rianne van den; Titov, Ivan; Welling, Max
Pubblicato in: 15th Extended Semantic Web Conference (ESWC), 2018, Pagina/e 593-607
Editore: ESWC

Improving Entity Linking by Modeling Latent Relations between Mentions

Autori: Le, Phong; Titov, Ivan
Pubblicato in: Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, Numero 1, 2018
Editore: ACL

AMR Parsing as Graph Prediction with Latent Alignment

Autori: Lyu, Chunchuan; Titov, Ivan
Pubblicato in: Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018, Pagina/e 397--407
Editore: ACL

Exploiting Semantics in Neural Machine Translation with Graph Convolutional Networks

Autori: Marcheggiani, Diego; Bastings, Joost; Titov, Ivan
Pubblicato in: Proceedings of the Conference of the North American Chapter of the Association for Computation Linguistics (NAACL), 2018
Editore: ACL

Graph Convolutional Encoders for Syntax-aware Neural Machine Translation

Autori: Joost Bastings, Ivan Titov, Wilker Aziz, Diego Marcheggiani, Khalil Simaan
Pubblicato in: Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017, Pagina/e 1957-1967
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/D17-1209

Embedding Words as Distributions with a Bayesian Skip-gram Model

Autori: Arthur Bražinskas; Serhii Havrylov; Ivan Titov
Pubblicato in: Proceedings of the 27th International Conference on Computational Linguistics (COLING), 2018, Pagina/e 1775–1789
Editore: ACL

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

Autori: Caio Corro; Ivan Titov
Pubblicato in: International Conference on Learning Representations (ICLR), 2019
Editore: ICLR

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

Autori: Diego Marcheggiani, Anton Frolov, Ivan Titov
Pubblicato in: Proceeding of the Conference on Natural Language Learning (CoNLL), 2017
Editore: Association for Computational Linguistics, SIGNLL

Optimizing Differentiable Relaxations of Coreference Evaluation Metrics

Autori: Phong Le, Ivan Titov
Pubblicato in: Proceeding of Conference on Natural Language Learning (CoNLL), 2017
Editore: Association for Computational Linguistics, SIGNLL

Interpretable Neural Predictions with Differentiable Binary Variables

Autori: Bastings, Joost; Aziz, Wilker; Titov, Ivan
Pubblicato in: Proceedings of the Association for Computational Linguistics, 2019
Editore: Association for Computational Linguistics

Learning Latent Trees with Stochastic Perturbations and Differentiable Dynamic Programming

Autori: Corro, Caio; Titov, Ivan
Pubblicato in: Proceedings of the Association for Computational Linguistics, Numero 1, 2019
Editore: Association for Computational Linguistics

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

Autori: Voita, Elena; Talbot, David; Moiseev, Fedor; Sennrich, Rico; Titov, Ivan
Pubblicato in: Voita, Elena; Talbot, David; Moiseev, Fedor; Sennrich, Rico; Titov, Ivan (2019). Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned. In: Proceedings of the 57th Conference of the Association for Computational Linguistics, Florence, Italy, 28 July 2019 - 2 August 2019, 5797-5808., Numero 3, 2019
Editore: Association for Computational Linguistics
DOI: 10.5167/uzh-172619

Question Answering by Reasoning Across Documents with Graph Convolutional Networks

Autori: Nicola De Cao, Wilker Aziz, Ivan Titov
Pubblicato in: Proceedings of the 2019 Conference of the North, 2019, Pagina/e 2306-2317
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/n19-1240

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

Autori: Voita, Elena; Sennrich, Rico; Titov, Ivan
Pubblicato in: Voita, Elena; Sennrich, Rico; Titov, Ivan (2019). When a Good Translation is Wrong in Context: Context-Aware Machine Translation Improves on Deixis, Ellipsis, and Lexical Cohesion. In: Proceedings of the 57th Conference of the Association for Computational Linguistics, Florence, Italy, 28 July 2019 - 2019, 1198-1212., Numero 6, 2019
Editore: Association for Computational Linguistics
DOI: 10.5167/uzh-172620

Block Neural Autoregressive Flow

Autori: De Cao, Nicola; Aziz, Wilker; Titov, Ivan
Pubblicato in: in Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, UAI 2019, Numero 4, 2019
Editore: JMLR / UAI

Distant Learning for Entity Linking with Automatic Noise Detection

Autori: Phone Le, Ivan Titov
Pubblicato in: Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL), 2019
Editore: ACL

Boosting Entity Linking Performance by Leveraging Unlabeled Documents

Autori: Phong Le, Ivan Titov
Pubblicato in: Proceedings of the Association for Computational Linguistics, 2019
Editore: ACL

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

Autori: Bailin Wang, Ivan Titov, Mirella Lapata
Pubblicato in: Proceedings of the Association for Computational Linguistics (ACL), 2019
Editore: ACL

Semantic Role Labeling with Iterative Structure Refinement

Autori: Chunchuan Lyu, Shay Cohen, Ivan Titov
Pubblicato in: Proceedings of EMNLP, 2019
Editore: ACL

Capturing Argument Interaction in Semantic Role Labeling with Capsule Networks

Autori: Xinchi Chen, Chunchuan Lyu, Ivan Titov
Pubblicato in: Proceedings of EMNLP, 2019
Editore: ACL

The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation

Autori: Elena Voita, Rico Sennrich, Ivan Titov
Pubblicato in: Proceedings of EMNLP, 2019
Editore: ACL

Single Document Summarization as Tree Induction

Autori: Yang Liu, Ivan Titov, Mirella Lapata
Pubblicato in: Proceedings of NAACL, 2019
Editore: ACL

Unsupervised Opinion Summarization as Copycat-Review Generation

Autori: Arthur Brazinskas, Mirella Lapata, Ivan Titov
Pubblicato in: Proceedings of ACL, 2020
Editore: ACL

Meta-Learning to Compositionally Generalize

Autori: Henry Conklin, Bailin Wang, Kenny Smith, Ivan Titov
Pubblicato in: ACL, 2021
Editore: ACL

Language Modeling, Lexical Translation, Reordering: The Training Process of NMT through the Lens of Classical SMT

Autori: Voita, Elena; Sennrich, Rico; Titov, Ivan
Pubblicato in: EMNLP 2021, 2021
Editore: ACL
DOI: 10.5167/uzh-208888

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

Autori: De Cao, Nicola, Schlichtkrull, Michael Sejr, Aziz, Wilker, and Titov, Ivan
Pubblicato in: EMNLP, 2020
Editore: ACL

Fast Interleaved Bidirectional Sequence Generation

Autori: Zhang, Biao; Titov, Ivan; Sennrich, Rico
Pubblicato in: WMT, 2020
Editore: ACL
DOI: 10.5167/uzh-193900

Exploring Unsupervised Pretraining Objectives for Machine Translation

Autori: Baziotis, Christos, Titov, Ivan, Birch, Alexandra, and Haddow, Barry
Pubblicato in: Findings of ACL, 2021
Editore: ACL

Beyond Sentence-Level End-to-End Speech Translation: Context Helps

Autori: Zhang, Biao, Titov, Ivan, Haddow, Barry, and Sennrich, Rico
Pubblicato in: ACL, 2021
Editore: ACL

Learning from Executions for Semantic Parsing

Autori: Bailin Wang, Mirella Lapata, Ivan Titov
Pubblicato in: Proceedings of NAACL 2021, 2021
Editore: ACL

On Sparsifying Encoder Outputs in Sequence-to-Sequence Models

Autori: Biao Zhang; Ivan Titov; Rico Sennrich
Pubblicato in: Findings of ACL, Numero 36, 2021
Editore: ACL
DOI: 10.5167/uzh-208878

Few-Shot Learning for Opinion Summarization

Autori: Bražinskas, Arthur, Lapata, Mirella, and Titov, Ivan
Pubblicato in: Proceedings of EMNLP 2020, 2020
Editore: ACL

Information-Theoretic Probing with Minimum Description Length

Autori: Elena Voita; Ivan Titov
Pubblicato in: EMNLP, 2020
Editore: ACL
DOI: 10.18653/v1/2020.emnlp-main.14

Interpreting graph neural networks for NLP with differentiable edge masking

Autori: Schlichtkrull, Michael Sejr, De Cao, Nicola, and Titov, Ivan
Pubblicato in: ICLR, 2021
Editore: ICLR

Modelling Semantic Expectation: Using Script Knowledge for Referent Prediction

Autori: Ashutosh Modi, Ivan Titov, Vera Demberg, Asad Sayeed, Manfred Pinkal
Pubblicato in: Transactions of the Association for Computational Linguistics, 2017, Pagina/e 31-44, ISSN 2307-387X
Editore: Association of Computational Linguistics

È in corso la ricerca di dati su OpenAIRE...

Pubblicazioni

Condividi questa pagina

Scarica