Zheng Chen

Comparative Study of CNN and LSTM based Attention Neural Networks for Aspect-Level Opinion Mining

2018

Aspect-level opinion mining aims to find and aggregate opinions on opinion targets. Previous work has demonstrated that precise modeling of opinion targets within the surrounding context can improve performances. However, how to effectively and efficiently …

Information Dropping Data Augmentation for Machine Translation Quality Estimation

2024 · IEEE/ACM Transactions on Audio Speech and Language Processing

Machine translation quality estimation (QE) refers to the quality assessment of machine translations without a given reference translation. Supervised QE models based on neural networks have achieved state-of-the-art results. But this method requires large-scale training …

Aligning Knowledge and Text Embeddings by Entity Descriptions

2015

We study the problem of jointly embedding a knowledge base and a text corpus. The key issue is the alignment model making sure the vectors of entities, relations and words are in the same space. …