A novel word embedding learning model using the dissociation between nouns and verbs

By Baotian Hu, Buzhou Tang, Qingcai Chen, Longbiao Kang. 2016

26 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Representation & Self-Supervised Learning

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Yuxiang Wu
2. Baotian Hu
3. Hinrich Schütze
4. Zhiyuan Liu
5. Xipeng Qiu
6. Hang Li
7. Xuanjing Huang
8. Fei Liu

In Representation & Self-Supervised Learning

1. Baotian Hu
2. Yuxiang Wu

Citations in the corpus

• Learning to Extract Coherent Summary via Deep Reinforcement Learning (2018, background): “As the distributed representation shows its outstanding capability in capturing semantic and syntactic information of text (Mikolov et al. 2013; Hu et al. 2016), there is an emergence of works that use the deep neural networks to extract salient sentences (Cheng and Lapata 2016; Nallapati, Zhai,…”