Jianliang Gao

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 …

Attention with Long-Term Interval-Based Deep Sequential Learning for Recommendation

2020 · Complexity

Modeling user behaviors as sequential learning provides key advantages in predicting future user actions, such as predicting the next product to purchase or the next song to listen to, for the purpose of personalized search …

LAMAD: A Linguistic Attentional Model for Arabic Text Diacritization

2021

In Arabic Language, diacritics are used to specify meanings as well as pronunciations. However, diacritics are often omitted from written texts, which increases the number of possible meanings and pronunciations. This leads to an ambiguous …

MHGCN: Multiview highway graph convolutional network for cross-lingual entity alignment

2021 · Tsinghua Science & Technology

Knowledge graphs (KGs) provide a wealth of prior knowledge for the research on social networks. Cross-lingual entity alignment aims at integrating complementary KGs from different languages and thus benefits various knowledge-driven social network studies. Recent …