Recurrent neural networks with auxiliary labels for cross-domain opinion target extraction
Opinion target extraction is a fundamental task in opinion mining. In recent years, neural network based supervised learning methods have achieved competitive performance on this task. However, as with any supervised learning method, neural network based methods for this task cannot work well when t...
Saved in:
Main Authors: | DING, Ying, YU, Jianfei, Jing JIANG |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2017
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/3530 https://ink.library.smu.edu.sg/context/sis_research/article/4531/viewcontent/14865_66614_1_PB.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Delayed insertion and rule effect moderation of domain knowledge for reinforcement learning
by: TENG, Teck-Hou, et al.
Published: (2013) -
Semi-supervised classification using bridging
by: CHAN, Jason Yuk Hin, et al.
Published: (2008) -
Transition-informed reinforcement learning for large-scale Stackelberg mean-field games.
by: LI, Pengdeng, et al.
Published: (2024) -
Trajectory similarity learning with auxiliary supervision and optimal matching
by: ZHANG, Hanyuan, et al.
Published: (2020) -
Affective design analysis of explainable artificial intelligence (XAI): A user-centric perspective
by: Bernardo, Ezekiel, et al.
Published: (2023)