187 citations · 612 across the 48 of their papers we have counts for
13 papers · 1 filter
Unsupervised Explanation Generation via Correct Instantiations
Sijie Cheng, Zhiyong Wu, Jiangjie Chen +3
While large pre-trained language models (PLM) have shown their great skills at solving discriminative tasks, a significant gap remains when compared with humans for explanation-rel…
Integrating Vectorized Lexical Constraints for Neural Machine Translation
Shuo Wang, Zhixing Tan, Yang Liu
Lexically constrained neural machine translation (NMT), which controls the generation of NMT models with pre-specified constraints, is important in many practical scenarios. Due to…
Accurate Word Alignment Induction from Neural Machine Translation
Yun Chen, Yang Liu, Guanhua Chen +2
Despite its original goal to jointly learn to align and translate, prior researches suggest that Transformer captures poor word alignments through its attention mechanism. In this…
Hybrid Machine Learning Models of Classifying Residential Requests for Smart Dispatching
T. Chen, J. Sun, H. Lin +1
This paper presents a hybrid machine learning method of classifying residential requests in natural language to responsible departments that provide timely responses back to reside…
Iterative Dual Domain Adaptation for Neural Machine Translation
Jiali Zeng, Yang Liu, Jinsong Su +4
Previous studies on the domain adaptation for neural machine translation (NMT) mainly focus on the one-pass transferring out-of-domain translation knowledge to in-domain NMT model.…
Learning to Predict Explainable Plots for Neural Story Generation
Gang Chen, Yang Liu, Huanbo Luan +3
Story generation is an important natural language processing task that aims to generate coherent stories automatically. While the use of neural networks has proven effective in imp…