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07/31/2023
SelfSeg: A Self-supervised Sub-word Segmentation Method for Neural Machine Translation
Sub-word segmentation is an essential pre-processing step for Neural Mac...
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07/28/2023
Reasoning before Responding: Integrating Commonsense-based Causality Explanation for Empathetic Response Generation
Recent approaches to empathetic response generation try to incorporate c...
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05/17/2023
Variable-length Neural Interlingua Representations for Zero-shot Neural Machine Translation
The language-independency of encoded representations within multilingual...
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05/16/2023
Exploring the Impact of Layer Normalization for Zero-shot Neural Machine Translation
This paper studies the impact of layer normalization (LayerNorm) on zero...
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05/16/2023
Towards Speech Dialogue Translation Mediating Speakers of Different Languages
We present a new task, speech dialogue translation mediating speakers of...
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08/23/2022
Learning More May Not Be Better: Knowledge Transferability in Vision and Language Tasks
Is more data always better to train vision-and-language models? We study...
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05/31/2022
EMS: Efficient and Effective Massively Multilingual Sentence Representation Learning
Massively multilingual sentence representation models, e.g., LASER, SBER...
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04/26/2022
When do Contrastive Word Alignments Improve Many-to-many Neural Machine Translation?
Word alignment has proven to benefit many-to-many neural machine transla...
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04/11/2022
Fusion of Self-supervised Learned Models for MOS Prediction
We participated in the mean opinion score (MOS) prediction challenge, 20...
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01/20/2022
Linguistically-driven Multi-task Pre-training for Low-resource Neural Machine Translation
In the present study, we propose novel sequence-to-sequence pre-training...
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01/20/2022
VISA: An Ambiguous Subtitles Dataset for Visual Scene-Aware Machine Translation
Existing multimodal machine translation (MMT) datasets consist of images...
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10/26/2021
Transferring Domain-Agnostic Knowledge in Video Question Answering
Video question answering (VideoQA) is designed to answer a given questio...
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06/25/2021
A Picture May Be Worth a Hundred Words for Visual Question Answering
How far can we go with textual representations for understanding picture...
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05/28/2021
Lightweight Cross-Lingual Sentence Representation Learning
Large-scale models for learning fixed-dimensional cross-lingual sentence...
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05/25/2021
GCNBoost: Artwork Classification by Label Propagation through a Knowledge Graph
The rise of digitization of cultural documents offers large-scale conten...
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01/14/2021
Understanding the Role of Scene Graphs in Visual Question Answering
Visual Question Answering (VQA) is of tremendous interest to the researc...
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10/17/2020
A Corpus for English-Japanese Multimodal Neural Machine Translation with Comparable Sentences
Multimodal neural machine translation (NMT) has become an increasingly i...
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10/11/2020
Lexically Cohesive Neural Machine Translation with Copy Mechanism
Lexically cohesive translations preserve consistency in word choices in ...
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10/11/2020
Constructing a Visual Relationship Authenticity Dataset
A visual relationship denotes a relationship between two objects in an i...
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08/28/2020
A Dataset and Baselines for Visual Question Answering on Art
Answering questions related to art pieces (paintings) is a difficult tas...
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04/17/2020
Knowledge-Based Visual Question Answering in Videos
We propose a novel video understanding task by fusing knowledge-based an...
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01/04/2020
A Comprehensive Survey of Multilingual Neural Machine Translation
We present a survey on multilingual neural machine translation (MNMT), w...
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10/23/2019
KnowIT VQA: Answering Knowledge-Based Questions about Videos
We propose a novel video understanding task by fusing knowledge-based an...
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06/19/2019
Multilingual Multi-Domain Adaptation Approaches for Neural Machine Translation
In this paper, we propose two novel methods for domain adaptation for th...
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05/31/2019
Using Natural Language Processing to Develop an Automated Orthodontic Diagnostic System
We work on the task of automatically designing a treatment plan from the...
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05/14/2019
A Survey of Multilingual Neural Machine Translation
We present a survey on multilingual neural machine translation (MNMT), w...
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06/12/2018
iParaphrasing: Extracting Visually Grounded Paraphrases via an Image
A paraphrase is a restatement of the meaning of a text in other words. P...
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06/01/2018
A Survey of Domain Adaptation for Neural Machine Translation
Neural machine translation (NMT) is a deep learning based approach for m...
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05/25/2018
Recursive Neural Network Based Preordering for English-to-Japanese Machine Translation
The word order between source and target languages significantly influen...
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01/12/2017
An Empirical Comparison of Simple Domain Adaptation Methods for Neural Machine Translation
In this paper, we propose a novel domain adaptation method named "mixed ...
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06/07/2016