2M-BELEBELE: Highly Multilingual Speech and American Sign Language Comprehension Dataset.
CoRR, 2024
Findings of the WMT 2024 Shared Task of the Open Language Data Initiative.
Proceedings of the Ninth Conference on Machine Translation, 2024
Towards Privacy-Aware Sign Language Translation at Scale.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Towards Being Parameter-Efficient: A Stratified Sparsely Activated Transformer with Dynamic Capacity.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Toxicity in Multilingual Machine Translation at Scale.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Language-Aware Multilingual Machine Translation with Self-Supervised Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023
Small Data, Big Impact: Leveraging Minimal Data for Effective Machine Translation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Text normalization for endangered languages: the case of Ligurian.
CoRR, 2022
Findings of the WMT'22 Shared Task on Large-Scale Machine Translation Evaluation for African Languages.
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Proceedings of the Seventh Conference on Machine Translation, 2022
OCR Improves Machine Translation for Low-Resource Languages.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022
KILT: a Benchmark for Knowledge Intensive Language Tasks.
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Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Multi-Task Retrieval for Knowledge-Intensive Tasks.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Decoding Brain Activity Associated with Literal and Metaphoric Sentence Comprehension using Distributional Semantic Models.
Trans. Assoc. Comput. Linguistics, 2020
Conversational Semantic Parsing.
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Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Machine learning methods for vector-based compositional semantics.
PhD thesis, 2019
Jointly learning sentence embeddings and syntax with unsupervised Tree-LSTMs.
Nat. Lang. Eng., 2019
Decoding Affirmative and Negated Action-Related Sentences in the Brain with Distributional Semantic Models.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019
Modeling Affirmative and Negated Action Processing in the Brain with Lexical and Compositional Semantic Models.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Latent Tree Learning with Differentiable Parsers: Shift-Reduce Parsing and Chart Parsing.
CoRR, 2018
RELPRON: A Relative Clause Evaluation Data Set for Compositional Distributional Semantics.
Comput. Linguistics, 2016
Black Holes and White Rabbits: Metaphor Identification with Visual Features.
Proceedings of the NAACL HLT 2016, 2016
Learning Adjective Meanings with a Tensor-Based Skip-Gram Model.
Proceedings of the 19th Conference on Computational Natural Language Learning, 2015