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tosho

tosho
0 Stars

Ph.D. Student at Tokyo Metropolitan University.
Interests: NLP, Multimodal

Decks

Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation
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270
Good for Misconceived Reasons: An Empirical Revisiting on the Need for Visual Context in Multimodal Machine Translation
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310
Shaham and Levy, 2021. Neural Machine Translation without Embeddings. NAACL2021
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88
Liu et al., 2021. Pay Attention to MLPs. arXiv
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130
Huang et al. 2020 Unsupervised Multimodal Neural Machine Translation with Pseudo Visual Pivoting
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390
Ive, Madhyastha, Specia_2019_EMNLP_Deep Copycat Networks for Text-to-Text Generation
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95
Tan, Bansal_2019_EMNLP_LXMERT Learning Cross-Modality Encoder Representations from Transformers
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180
Tsai et al._2019_ACL_Multimodal Transformer for Unaligned Multimodal Language Sequences
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300
Zhou et al. 2019. Density Matching for Bilingual Word Embedding. NAACL
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230
Oral: Multimodal Machine Translation with Embedding Prediction
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69
Caglayan et al. - NAACL 2019 - Probing the Need for Visual Context in Multimodal Machine Translation
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200
Budzianowski et al. - EMNLP 2018 - MultiWOZ - A Large-Scale Multi-Domain Wizard-of-Oz Dataset for Task-Oriented Dialogue Modelling
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310
Athiwaratkun, Wilson, Anandkumar - ACL 2018 - Probabilistic FastText for Multi-Sense Word Embeddings
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97
Wang, Wang, Wang - 2018 - Watch, Listen, and Describe Globally and Locally Aligned Cross-Modal Attentions for Video Captioning
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140
Chen et al. - 2018 - Recurrent Neural Networks as Weighted Language Recognizers
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94

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