Keywords:
- Analysis of Neural Networks
- attention-based models
- autoencoders
- deep learning
- distributional semantics
- entailment
- evaluation
- generation
- hallucination detection
- Hierarchical Attention Networks
- human annotations
- language modeling
- latent space learning
- LLM
- Machine Translation
- Multilingual Learning
- multilinguality
- natural language
- natural language generation
- Natural language processing
- natural language semantics
- neural machine translation
- neural networks
- NLP
- Nonparametric Variational Information Bottleneck
- Nonparametric VIB
- Out-of-domain generalisation
- output representation learning
- Parsing
- Post-training regularisation
- QA
- Reinterpretation
- representation learning
- style transfer
- Summarization
- Text classification
- Transformer
- transformers
- unsupervised learning
- VAE
- variable-size
- VIB
- word embedding
- word sense disambiguation
- Zero-shot Learning
Publications of James Henderson sorted by journal and type
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Proceedings of the 25th Conference on Computational Natural Language Learning (2021)
| Imposing Relation Structure in Language-Model Embeddings Using Contrastive Learning, , , and , in: Proceedings of the 25th Conference on Computational Natural Language Learning, Online, pages 337-348, Association for Computational Linguistics, 2021 |
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021)
| Multi-Adversarial Learning for Cross-Lingual Word Embeddings, , and , in: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Online, pages 463-472, 2021 |
Proceedings of the Third Workshop on New Frontiers in Summarization (2021)
| Sentence-level Planning for Especially Abstractive Summarization, and , in: Proceedings of the Third Workshop on New Frontiers in Summarization, pages 1--14, Association for Computational Linguistics, 2021 |
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Arxiv (2021)
| Syntax-Aware Graph-to-Graph Transformer for Semantic Role Labelling, and , in: Arxiv, 2021 |
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Proceedings of the 17th International Conference on Parsing Technologies and the IWPT 2021 Shared Task on Parsing into Enhanced Universal Dependencies (2021)
| The DCU-EPFL Enhanced Dependency Parser at the IWPT 2021 Shared Task, , , , and , in: Proceedings of the 17th International Conference on Parsing Technologies and the IWPT 2021 Shared Task on Parsing into Enhanced Universal Dependencies, Online, pages 204-212, Association for Computational Linguistics, 2021 |
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ICLR (2021)
| Variational Information Bottleneck for Effective Low-Resource Fine-Tuning, , and , in: ICLR, 2021 |
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ACL (2020)
| End-to-End Bias Mitigation by Modelling Biases in Corpora, , and , in: ACL, 2020 |
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Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (2020)
| Graph-to-Graph Transformer for Transition-based Dependency Parsing, and , in: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics, 2020 |
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Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings (2020)
| Graph-to-Graph Transformer for Transition-based Dependency Parsing, and , in: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings, ACL, Online, pages 3278–3289, Association for Computational Linguistics, 2020 |
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Proceedings of the Third Workshop on Computational Models of Reference, Anaphora and Coreference (2020)
| Partially-supervised Mention Detection, and , in: Proceedings of the Third Workshop on Computational Models of Reference, Anaphora and Coreference, 2020 |
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Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (2020)
| Plug and Play Autoencoders for Conditional Text Generation, , , , and , in: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, Online, 2020 |
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Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (2020)
| The Unstoppable Rise of Computational Linguistics in Deep Learning, , in: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, Association for Computational Linguistics, Online, pages 6294-6306, Association for Computational Linguistics, 2020 |
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Proceedings of the 36th International Conference on Machine Learning (ICML) (2019)
| Deep Residual Output Layers for Neural Language Generation, and , in: Proceedings of the 36th International Conference on Machine Learning (ICML), 2019 |
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Proceedings of the 32nd International Florida Artificial Intelligence Research Society Conference (2019)
| Implicit discourse relation classification with syntax-aware contextualized word representations, , , and , in: Proceedings of the 32nd International Florida Artificial Intelligence Research Society Conference, 2019 |
Ptroc. 2019 Conférence sur l'Apprentissage automatique (2019)
| SATokE: How can Syntax-Aware Contextualized Word Representations Benefit Implicit Discourse Relation Classification?, , , and , in: Ptroc. 2019 Conference sur l'Apprentissage automatique, 2019 |
Proc. 2019 Conference on Empirical Methods in Natural Language Processing (2019)
| Weakly-Supervised Concept-based Adversarial Learning for Cross-lingual Word Embeddings, , and , in: Proc. 2019 Conference on Empirical Methods in Natural Language Processing, 2019 |
Proceedings of the Third Conference on Machine Translation (WMT) (2018)
| Beyond Weight Tying: Learning Joint Input-Output Embeddings for Neural Machine Translation, , and , in: Proceedings of the Third Conference on Machine Translation (WMT), 2018 |
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Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP) (2018)
| Document-Level Neural Machine Translation with Hierarchical Attention Networks, , , and , in: Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2018 |
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ACL (2021)
| Parameter-efficient Multi-task Fine-tuning for Transformers via Shared Hypernetworks, , , and , in: ACL, 2021 |
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