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 title
| 1 | 2 |
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| Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency Parsing with Iterative Refinement, and , in: Transactions of the Association for Computational Linguistics (2021), 9:18, 2021 |
[DOI] [URL] |
| RQUGE: Reference-Free Metric for Evaluating Question Generation by Answering the Question, , , , , , and , in: Association for Computational Linguistics: ACL 2023, Toronto, Canada, 2023 |
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S
| SATokE: How can Syntax-Aware Contextualized Word Representations Benefit Implicit Discourse Relation Classification?, , , and , in: Ptroc. 2019 Conference sur l'Apprentissage automatique, 2019 |
| 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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| SMaLL-100: Introducing Shallow Multilingual Machine Translation Model for Low-Resource Languages, , , , , and , in: The 2022 Conference on Empirical Methods in Natural Language Processing, 2022 |
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| Syntax-Aware Graph-to-Graph Transformer for Semantic Role Labelling, and , in: Arxiv, 2021 |
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| Syntax-Aware Graph-to-Graph Transformer for Semantic Role Labelling, and , in: Procceedings of 8th Workshop on Representation Learning for NLP, 2023 |
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T
| 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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| 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 |
[DOI] [URL] |
| Transformers as Graph-to-Graph Models, , , and , in: Big Picture Workshop at EMNLP 2023, 2023 |
U
| Unsupervised Token-level Hallucination Detection from Summary Generation By-products, and , in: Workshop on Generation, Evaluation and Metrics (GEM), 2022 |
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V
| Variational Information Bottleneck for Effective Low-Resource Fine-Tuning, , and , in: ICLR, 2021 |
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W
| Weakly-Supervised Concept-based Adversarial Learning for Cross-lingual Word Embeddings, , and , in: Proc. 2019 Conference on Empirical Methods in Natural Language Processing, 2019 |
| What Do Compressed Multilingual Machine Translation Models Forget?, , , , , and , in: The 2022 Conference on Empirical Methods in Natural Language Processing, 2022 |
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| 1 | 2 |