Learning deep networks with crowdsourcing for relevance evaluation
Abstract In this paper, we propose a novel relevance evaluation method using labels collected from crowdsourcing. The proposed method not only predicts the relevance between query texts and responses in information retrieval systems but also performs the label aggregation tasks simultaneously. It fi...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2020-04-01
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Series: | EURASIP Journal on Wireless Communications and Networking |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s13638-020-01697-2 |