49 citations · 86 across the 6 of their papers we have counts for
6 papers
Text Editing as Imitation Game
Ning Shi, Bin Tang, Bo Yuan +4
Text editing, such as grammatical error correction, arises naturally from imperfect textual data. Recent works frame text editing as a multi-round sequence tagging task, where oper…
Syntax-guided Localized Self-attention by Constituency Syntactic Distance
Shengyuan Hou, Jushi Kai, Haotian Xue +5
Recent works have revealed that Transformers are implicitly learning the syntactic information in its lower layers from data, albeit is highly dependent on the quality and scale of…
INFINITY: A Simple Yet Effective Unsupervised Framework for Graph-Text Mutual Conversion
Yi Xu, Luoyi Fu, Zhouhan Lin +2
Graph-to-text (G2T) generation and text-to-graph (T2G) triple extraction are two essential tasks for constructing and applying knowledge graphs. Existing unsupervised approaches tu…
Block-Skim: Efficient Question Answering for Transformer
Yue Guan, Zhengyi Li, Jingwen Leng +3
Transformer models have achieved promising results on natural language processing (NLP) tasks including extractive question answering (QA). Common Transformer encoders used in NLP…
Recurrent Neural Networks With Limited Numerical Precision
Joachim Ott, Zhouhan Lin, Ying Zhang +2
Recurrent Neural Networks (RNNs) produce state-of-art performance on many machine learning tasks but their demand on resources in terms of memory and computational power are often…
Recurrent Neural Networks With Limited Numerical Precision
Joachim Ott, Zhouhan Lin, Ying Zhang +2
Recurrent Neural Networks (RNNs) produce state-of-art performance on many machine learning tasks but their demand on resources in terms of memory and computational power are often…