Recognizing Textual Entailment by Hierarchical Crowdsourcing with Diverse Labor Costs
Author:
Affiliation:
1. Shenzhen University,Shenzhen,China
2. Hong Kong Polytechnic University,HongKong,China
3. HK University of Science and Technology (GZ),HongKong,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10579968/10579982/10580016.pdf?arnumber=10580016
Reference24 articles.
1. Query-Oriented Data Cleaning with Oracles
2. Learning to Predict from Crowdsourced Data;Bi;UAI,2014
3. Language models are few-shot learners;Brown;Advances in neural information processing systems,2020
4. Maximum Likelihood Estimation of Observer Error-Rates Using the EM Algorithm
5. ZenCrowd
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