Chenhui Chu

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Osaka University

Understanding the Role of Scene Graphs in Visual Question Answering

Visual Question Answering (VQA) is of tremendous interest to the researc...
01/14/2021 ∙ by Vinay Damodaran, et al. ∙ 0 ∙ share

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A Corpus for English-Japanese Multimodal Neural Machine Translation with Comparable Sentences

Multimodal neural machine translation (NMT) has become an increasingly i...
10/17/2020 ∙ by Andrew Merritt, et al. ∙ 0 ∙ share

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Lexically Cohesive Neural Machine Translation with Copy Mechanism

Lexically cohesive translations preserve consistency in word choices in ...
10/11/2020 ∙ by Vipul Mishra, et al. ∙ 4 ∙ share

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Constructing a Visual Relationship Authenticity Dataset

A visual relationship denotes a relationship between two objects in an i...
10/11/2020 ∙ by Chenhui Chu, et al. ∙ 0 ∙ share

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A Dataset and Baselines for Visual Question Answering on Art

Answering questions related to art pieces (paintings) is a difficult tas...
08/28/2020 ∙ by Noa Garcia, et al. ∙ 20 ∙ share

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Knowledge-Based Visual Question Answering in Videos

We propose a novel video understanding task by fusing knowledge-based an...
04/17/2020 ∙ by Noa Garcia, et al. ∙ 12 ∙ share

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A Comprehensive Survey of Multilingual Neural Machine Translation

We present a survey on multilingual neural machine translation (MNMT), w...
01/04/2020 ∙ by Raj Dabre, et al. ∙ 0 ∙ share

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KnowIT VQA: Answering Knowledge-Based Questions about Videos

We propose a novel video understanding task by fusing knowledge-based an...
10/23/2019 ∙ by Noa Garcia, et al. ∙ 9 ∙ share

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Multilingual Multi-Domain Adaptation Approaches for Neural Machine Translation

In this paper, we propose two novel methods for domain adaptation for th...
06/19/2019 ∙ by Chenhui Chu, et al. ∙ 0 ∙ share

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Using Natural Language Processing to Develop an Automated Orthodontic Diagnostic System

We work on the task of automatically designing a treatment plan from the...
05/31/2019 ∙ by Tomoyuki Kajiwara, et al. ∙ 0 ∙ share

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A Survey of Multilingual Neural Machine Translation

We present a survey on multilingual neural machine translation (MNMT), w...
05/14/2019 ∙ by Raj Dabre, et al. ∙ 0 ∙ share

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iParaphrasing: Extracting Visually Grounded Paraphrases via an Image

A paraphrase is a restatement of the meaning of a text in other words. P...
06/12/2018 ∙ by Chenhui Chu, et al. ∙ 0 ∙ share

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A Survey of Domain Adaptation for Neural Machine Translation

Neural machine translation (NMT) is a deep learning based approach for m...
06/01/2018 ∙ by Chenhui Chu, et al. ∙ 0 ∙ share

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Recursive Neural Network Based Preordering for English-to-Japanese Machine Translation

The word order between source and target languages significantly influen...
05/25/2018 ∙ by Yuki Kawara, et al. ∙ 0 ∙ share

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An Empirical Comparison of Simple Domain Adaptation Methods for Neural Machine Translation

In this paper, we propose a novel domain adaptation method named "mixed ...
01/12/2017 ∙ by Chenhui Chu, et al. ∙ 0 ∙ share

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Supervised Syntax-based Alignment between English Sentences and Abstract Meaning Representation Graphs

As alignment links are not given between English sentences and Abstract ...
06/07/2016 ∙ by Chenhui Chu, et al. ∙ 0 ∙ share

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Chenhui Chu

Featured Co-authors

Rui Wang

Yuta Nakashima

Sadao Kurohashi

Raj Dabre

Anoop Kunchukuttan

Hajime Nagahara

Noa Garcia

Mayu Otani

Teruko Mitamura

Yuki Arase

Zihua Liu

Understanding the Role of Scene Graphs in Visual Question Answering

A Corpus for English-Japanese Multimodal Neural Machine Translation with Comparable Sentences

Lexically Cohesive Neural Machine Translation with Copy Mechanism

Constructing a Visual Relationship Authenticity Dataset

A Dataset and Baselines for Visual Question Answering on Art

Knowledge-Based Visual Question Answering in Videos

A Comprehensive Survey of Multilingual Neural Machine Translation

KnowIT VQA: Answering Knowledge-Based Questions about Videos

Multilingual Multi-Domain Adaptation Approaches for Neural Machine Translation

Using Natural Language Processing to Develop an Automated Orthodontic Diagnostic System

A Survey of Multilingual Neural Machine Translation

iParaphrasing: Extracting Visually Grounded Paraphrases via an Image

A Survey of Domain Adaptation for Neural Machine Translation

Recursive Neural Network Based Preordering for English-to-Japanese Machine Translation

An Empirical Comparison of Simple Domain Adaptation Methods for Neural Machine Translation

Supervised Syntax-based Alignment between English Sentences and Abstract Meaning Representation Graphs