Summary
My research aims at automatically and intelligently fusing information from multiple modalities including language, vision and speech. I work in the field of multimodal machine learning and representation learning.
Publications
Conference
Ive J, Madhyastha P, Specia L, 2019, Deep copycat networks for text-to-text generation., Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, EMNLP-IJCNLP 2019, Hong Kong, China, November 3-7, 2019, Pages:3225-3234
Caglayan O, Madhyastha P, Specia L, et al. , 2019, Probing the Need for Visual Context in Multimodal Machine Translation., Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2019, Minneapolis, MN, USA, June 2-7, 2019, Volume 1 (Long and Short Papers), Pages:4159-4170
Chow J, Specia L, Madhyastha P, 2019, WMDO: Fluency-based Word Mover's Distance for Machine Translation Evaluation., Proceedings of the Fourth Conference on Machine Translation, WMT 2019, Florence, Italy, August 1-2, 2019 - Volume 2: Shared Task Papers, Day 1, Pages:494-500
Holzenberger N, Palaskar S, Madhyastha P, et al. , 2019, Learning from Multiview Correlations in Open-domain Videos., IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2019, Brighton, United Kingdom, May 12-17, 2019, Pages:8628-8632