Extracting the Pairs of Opinion Target and Opinion Term From Reviews With Adaptive Crowd Labeling

Labeling samples manually is a laborious, error-prone, and cost-consuming process, which is a traditional approach to preparing training data for supervised learning. Crowdsourcing provides an effective way to acquire labeled training data. In this paper, we propose an adaptive crowd labeling method...

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Bibliographic Details
Main Authors: Yuming Lin, Wei Zhao, You Li, Huibing Zhang, Ya Zhou
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8771063/