Chenhui Chu

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Osaka University

A Picture May Be Worth a Hundred Words for Visual Question Answering

How far can we go with textual representations for understanding picture...
06/25/2021 ∙ by Yusuke Hirota, et al. ∙ 0 ∙ share

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Lightweight Cross-Lingual Sentence Representation Learning

Large-scale models for learning fixed-dimensional cross-lingual sentence...
05/28/2021 ∙ by Zhuoyuan Mao, et al. ∙ 9 ∙ share

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GCNBoost: Artwork Classification by Label Propagation through a Knowledge Graph

The rise of digitization of cultural documents offers large-scale conten...
05/25/2021 ∙ by Cheikh Brahim El Vaigh, et al. ∙ 0 ∙ share

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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

Martin Jaggi

Yuta Nakashima

Sadao Kurohashi

Anoop Kunchukuttan

Raj Dabre

Prakhar Gupta

Hajime Nagahara

Noa Garcia

Mayu Otani

Benjamin Renoust

A Picture May Be Worth a Hundred Words for Visual Question Answering

Lightweight Cross-Lingual Sentence Representation Learning

GCNBoost: Artwork Classification by Label Propagation through a Knowledge Graph

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