Improving Performance of Neural IR Models by Using a Keyword-Extraction-Based Weak-Supervision Method
Recently the efficiency of neural information retrieval (IR) models has been significantly improved. However, there are technical challenges such as the data bottleneck problem. In real-world scenarios, only documents without related queries are available for training neural IR models. Existing stud...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10480707/ |