Deep learning techniques for Chinese sentence representation learning
碩士 === 國立政治大學 === 資訊科學系碩士在職專班 === 106 === The paper demonstrates how the deep learning methods published in recent years applied in Chinese sentence representation learning. Recently, the deep learning techniques have attracted the great attention. Related areas also grow enormously. However, the m...
Main Authors: | Kuan, Yun Chen, 管芸辰 |
---|---|
Other Authors: | Tsai, Ming Feng |
Format: | Others |
Language: | zh-TW |
Published: |
2018
|
Online Access: | http://ndltd.ncl.edu.tw/handle/2jfs64 |
Similar Items
-
Towards learning sentence representation with self-supervision
by: Hosseini, Seyedarian
Published: (2020) -
Convolutional Recurrent Deep Learning Model for Sentence Classification
by: Abdalraouf Hassan, et al.
Published: (2018-01-01) -
Chinese Sentence Segmentation using Machine Learning Methods
by: Chou, Chien-Yu, et al.
Published: (2009) -
Leveraging structure for learning representations of words, sentences and knowledge bases
by: Komninos, Alexandros
Published: (2018) -
A representation and deep learning model for annotating ubiquitylation sentences stating E3 ligase - substrate interaction
by: Lee, T.-Y, et al.
Published: (2021)