51 citations · 147 across the 23 of their papers we have counts for
6 papers · 1 filter
A Corpus for English-Japanese Multimodal Neural Machine Translation with Comparable Sentences
Andrew Merritt, Chenhui Chu, Yuki Arase
Multimodal neural machine translation (NMT) has become an increasingly important area of research over the years because additional modalities, such as image data, can provide more…
Lexically Cohesive Neural Machine Translation with Copy Mechanism
Vipul Mishra, Chenhui Chu, Yuki Arase
Lexically cohesive translations preserve consistency in word choices in document-level translation. We employ a copy mechanism into a context-aware neural machine translation model…
Constructing a Visual Relationship Authenticity Dataset
Chenhui Chu, Yuto Takebayashi, Mishra Vipul +1
A visual relationship denotes a relationship between two objects in an image, which can be represented as a triplet of (subject; predicate; object). Visual relationship detection i…
A Dataset and Baselines for Visual Question Answering on Art
Noa Garcia, Chentao Ye, Zihua Liu +5
Answering questions related to art pieces (paintings) is a difficult task, as it implies the understanding of not only the visual information that is shown in the picture, but also…
Knowledge-Based Visual Question Answering in Videos
Noa Garcia, Mayu Otani, Chenhui Chu +1
We propose a novel video understanding task by fusing knowledge-based and video question answering. First, we introduce KnowIT VQA, a video dataset with 24,282 human-generated ques…
A Comprehensive Survey of Multilingual Neural Machine Translation
Raj Dabre, Chenhui Chu, Anoop Kunchukuttan
We present a survey on multilingual neural machine translation (MNMT), which has gained a lot of traction in the recent years. MNMT has been useful in improving translation quality…