Huanbo Luan

Generalized Agreement for Bidirectional Word Alignment

2015

While agreement-based joint training has proven to deliver state-of-the-art alignment accuracy, the produced word alignments are usually restricted to one-toone mappings because of the hard constraint on agreement. We propose a general framework to allow …

Neural Machine Translation With Explicit Phrase Alignment

2021 · IEEE/ACM Transactions on Audio Speech and Language Processing

While neural machine translation has achieved state-of-the-art translation performance, it is unable to capture the alignment between the input and output during the translation process. The lack of alignment in neural machine translation models leads …

Modeling Relation Paths for Representation Learning of Knowledge Bases

2015

Representation learning of knowledge bases aims to embed both entities and relations into a low-dimensional space. Most existing methods only consider direct relations in representation learning. We argue that multiple-step relation paths also contain rich …

Discrete Collaborative Filtering

2016

We address the efficiency problem of Collaborative Filtering (CF) by hashing users and items as latent vectors in the form of binary codes, so that user-item affinity can be efficiently calculated in a Hamming space. …

Joint learning of character and word embeddings

2015 · International Conference on Artificial Intelligence

Most word embedding methods take a word as a basic unit and learn embeddings according to words' external contexts, ignoring the internal structures of words. However, in some languages such as Chinese, a word is …

Neural Relation Extraction with Selective Attention over Instances

2016

Distant supervised relation extraction has been widely used to find novel relational facts from text. However, distant supervision inevitably accompanies with the wrong labelling problem, and these noisy data will substantially hurt the performance of …

THUMT: An Open Source Toolkit for Neural Machine Translation

2017 · arXiv (Cornell University)

This paper introduces THUMT, an open-source toolkit for neural machine translation (NMT) developed by the Natural Language Processing Group at Tsinghua University. THUMT implements the standard attention-based encoder-decoder framework on top of Theano and supports …

Adversarial Training for Unsupervised Bilingual Lexicon Induction

2017

Word embeddings are well known to capture linguistic regularities of the language on which they are trained. Researchers also observe that these regularities can transfer across languages. However, previous endeavors to connect separate monolingual word …

Visualizing and Understanding Neural Machine Translation

2017

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. In this work, we propose …

Improving the Transformer Translation Model with Document-Level Context

2018

Although the Transformer translation model In this work, we extend the Transformer model with a new context encoder to represent document-level context, which is then incorporated into the original encoder and decoder. As large-scale document-level …