14 citations · 48 across the 15 of their papers we have counts for
15 papers
Neural Machine Translation with Dynamic Graph Convolutional Decoder
Lei Li, Kai Fan, Lingyu Yang +2
Existing wisdom demonstrates the significance of syntactic knowledge for the improvement of neural machine translation models. However, most previous works merely focus on leveragi…
Translate the Beauty in Songs: Jointly Learning to Align Melody and Translate Lyrics
Chengxi Li, Kai Fan, Jiajun Bu +3
Song translation requires both translation of lyrics and alignment of music notes so that the resulting verse can be sung to the accompanying melody, which is a challenging problem…
Adapting Offline Speech Translation Models for Streaming with Future-Aware Distillation and Inference
Biao Fu, Minpeng Liao, Kai Fan +4
A popular approach to streaming speech translation is to employ a single offline model with a wait-k policy to support different latency requirements, which is simpler than trainin…
Competency-Aware Neural Machine Translation: Can Machine Translation Know its Own Translation Quality?
Pei Zhang, Baosong Yang, Haoran Wei +4
Neural machine translation (NMT) is often criticized for failures that happen without awareness. The lack of competency awareness makes NMT untrustworthy. This is in sharp contrast…
Efficient Cluster-Based k-Nearest-Neighbor Machine Translation
Dexin Wang, Kai Fan, Boxing Chen +1
k-Nearest-Neighbor Machine Translation (kNN-MT) has been recently proposed as a non-parametric solution for domain adaptation in neural machine translation (NMT). It aims to allevi…
StrokeNet: Stroke Assisted and Hierarchical Graph Reasoning Networks
Lei Li, Kai Fan, Chun Yuan
Scene text detection is still a challenging task, as there may be extremely small or low-resolution strokes, and close or arbitrary-shaped texts. In this paper, StrokeNet is propos…
Unifying Cross-lingual Summarization and Machine Translation with Compression Rate
Yu Bai, Heyan Huang, Kai Fan +5
Cross-Lingual Summarization (CLS) is a task that extracts important information from a source document and summarizes it into a summary in another language. It is a challenging tas…
Computer Assisted Translation with Neural Quality Estimation and Automatic Post-Editing
Jiayi Wang, Ke Wang, Niyu Ge +3
With the advent of neural machine translation, there has been a marked shift towards leveraging and consuming the machine translation results. However, the gap between machine tran…
Long-Short Term Masking Transformer: A Simple but Effective Baseline for Document-level Neural Machine Translation
Pei Zhang, Boxing Chen, Niyu Ge +1
Many document-level neural machine translation (NMT) systems have explored the utility of context-aware architecture, usually requiring an increasing number of parameters and compu…
A Practical Framework for Relation Extraction with Noisy Labels Based on Doubly Transitional Loss
Shanchan Wu, Kai Fan
Either human annotation or rule based automatic labeling is an effective method to augment data for relation extraction. However, the inevitable wrong labeling problem for example…
Neural Zero-Inflated Quality Estimation Model For Automatic Speech Recognition System
Kai Fan, Jiayi Wang, Bo Li +4
The performances of automatic speech recognition (ASR) systems are usually evaluated by the metric word error rate (WER) when the manually transcribed data are provided, which are,…
Lattice Transformer for Speech Translation
Pei Zhang, Boxing Chen, Niyu Ge +1
Recent advances in sequence modeling have highlighted the strengths of the transformer architecture, especially in achieving state-of-the-art machine translation results. However,…
Improving Distantly Supervised Relation Extraction with Neural Noise Converter and Conditional Optimal Selector
Shanchan Wu, Kai Fan, Qiong Zhang
Distant supervised relation extraction has been successfully applied to large corpus with thousands of relations. However, the inevitable wrong labeling problem by distant supervis…
Unsupervised Multi-modal Neural Machine Translation
Yuanhang Su, Kai Fan, Nguyen Bach +2
Unsupervised neural machine translation (UNMT) has recently achieved remarkable results with only large monolingual corpora in each language. However, the uncertainty of associatin…
"Bilingual Expert" Can Find Translation Errors
Kai Fan, Jiayi Wang, Bo Li +3
Recent advances in statistical machine translation via the adoption of neural sequence-to-sequence models empower the end-to-end system to achieve state-of-the-art in many WMT benc…