Search Results for author: Huanbo Luan

Found 26 papers, 13 papers with code

Self-Supervised Quality Estimation for Machine Translation

no code implementations EMNLP 2021 Yuanhang Zheng, Zhixing Tan, Meng Zhang, Mieradilijiang Maimaiti, Huanbo Luan, Maosong Sun, Qun Liu, Yang Liu

Quality estimation (QE) of machine translation (MT) aims to evaluate the quality of machine-translated sentences without references and is important in practical applications of MT.

Machine Translation Sentence +1

Modeling Voting for System Combination in Machine Translation

1 code implementation14 Jul 2020 Xuancheng Huang, Jiacheng Zhang, Zhixing Tan, Derek F. Wong, Huanbo Luan, Jingfang Xu, Maosong Sun, Yang Liu

System combination is an important technique for combining the hypotheses of different machine translation systems to improve translation performance.

Machine Translation Translation

Learning to Predict Explainable Plots for Neural Story Generation

no code implementations5 Dec 2019 Gang Chen, Yang Liu, Huanbo Luan, Meng Zhang, Qun Liu, Maosong Sun

While the use of neural networks has proven effective in improving story generation, how to learn to generate an explainable high-level plot still remains a major challenge.

Sentence Story Generation

Neural Machine Translation with Explicit Phrase Alignment

no code implementations26 Nov 2019 Jiacheng Zhang, Huanbo Luan, Maosong Sun, FeiFei Zhai, Jingfang Xu, Yang Liu

The lack of alignment in NMT models leads to three problems: it is hard to (1) interpret the translation process, (2) impose lexical constraints, and (3) impose structural constraints.

Machine Translation NMT +1

Learning to Copy for Automatic Post-Editing

2 code implementations IJCNLP 2019 Xuancheng Huang, Yang Liu, Huanbo Luan, Jingfang Xu, Maosong Sun

To better identify translation errors, our method learns the representations of source sentences and system outputs in an interactive way.

Automatic Post-Editing Translation

Improving Back-Translation with Uncertainty-based Confidence Estimation

1 code implementation IJCNLP 2019 Shuo Wang, Yang Liu, Chao Wang, Huanbo Luan, Maosong Sun

While back-translation is simple and effective in exploiting abundant monolingual corpora to improve low-resource neural machine translation (NMT), the synthetic bilingual corpora generated by NMT models trained on limited authentic bilingual data are inevitably noisy.

Low-Resource Neural Machine Translation NMT +2

Neural Diffusion Model for Microscopic Cascade Prediction

1 code implementation21 Dec 2018 Cheng Yang, Maosong Sun, Haoran Liu, Shiyi Han, Zhiyuan Liu, Huanbo Luan

The strong assumptions oversimplify the complex diffusion mechanism and prevent these models from better fitting real-world cascade data.

Social and Information Networks Physics and Society

Prior Knowledge Integration for Neural Machine Translation using Posterior Regularization

1 code implementation ACL 2017 Jiacheng Zhang, Yang Liu, Huanbo Luan, Jingfang Xu, Maosong Sun

Although neural machine translation has made significant progress recently, how to integrate multiple overlapping, arbitrary prior knowledge sources remains a challenge.

Machine Translation Translation

Improving the Transformer Translation Model with Document-Level Context

3 code implementations EMNLP 2018 Jiacheng Zhang, Huanbo Luan, Maosong Sun, FeiFei Zhai, Jingfang Xu, Min Zhang, Yang Liu

Although the Transformer translation model (Vaswani et al., 2017) has achieved state-of-the-art performance in a variety of translation tasks, how to use document-level context to deal with discourse phenomena problematic for Transformer still remains a challenge.

Sentence Translation

Earth Mover's Distance Minimization for Unsupervised Bilingual Lexicon Induction

no code implementations EMNLP 2017 Meng Zhang, Yang Liu, Huanbo Luan, Maosong Sun

By viewing word embedding spaces as distributions, we propose to minimize their earth mover{'}s distance, a measure of divergence between distributions.

Bilingual Lexicon Induction Cross-Lingual Transfer +1

Visualizing and Understanding Neural Machine Translation

no code implementations ACL 2017 Yanzhuo Ding, Yang Liu, Huanbo Luan, Maosong Sun

While neural machine translation (NMT) has made remarkable progress in recent years, it is hard to interpret its internal workings due to the continuous representations and non-linearity of neural networks.

Machine Translation NMT +1

THUMT: An Open Source Toolkit for Neural Machine Translation

6 code implementations20 Jun 2017 Jiacheng Zhang, Yanzhuo Ding, Shiqi Shen, Yong Cheng, Maosong Sun, Huanbo Luan, Yang Liu

This paper introduces THUMT, an open-source toolkit for neural machine translation (NMT) developed by the Natural Language Processing Group at Tsinghua University.

Machine Translation NMT +1

Inducing Bilingual Lexica From Non-Parallel Data With Earth Mover's Distance Regularization

no code implementations COLING 2016 Meng Zhang, Yang Liu, Huanbo Luan, Yiqun Liu, Maosong Sun

Being able to induce word translations from non-parallel data is often a prerequisite for cross-lingual processing in resource-scarce languages and domains.

Translation Word Alignment +1

Image-embodied Knowledge Representation Learning

1 code implementation22 Sep 2016 Ruobing Xie, Zhiyuan Liu, Huanbo Luan, Maosong Sun

More specifically, we first construct representations for all images of an entity with a neural image encoder.

General Classification Representation Learning +1

Online Collaborative Learning for Open-Vocabulary Visual Classifiers

no code implementations CVPR 2016 Hanwang Zhang, Xindi Shang, Wenzhuo Yang, Huan Xu, Huanbo Luan, Tat-Seng Chua

Leveraging on the structure of the proposed collaborative learning formulation, we develop an efficient online algorithm that can jointly learn the label embeddings and visual classifiers.

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