Linfeng Liu

ORCID: 0009-0009-1624-6711
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About
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Research Areas
  • Remote Sensing and Land Use
  • Translation Studies and Practices
  • Smart Agriculture and AI
  • Remote Sensing in Agriculture
  • Linguistics, Language Diversity, and Identity

Shanghai Jiao Tong University
2024

Guizhou University
2023

This paper studies Chinese Spelling Correction (CSC), which aims to detect and correct potential spelling errors in a given sentence. Current state-of-the-art methods regard CSC as sequence tagging task fine-tune BERT-based models on sentence pairs. However, we note critical flaw the process of one character another, that correction is excessively conditioned error. opposite from human mindset, where individuals rephrase complete based its semantics, rather than solely error patterns...

10.1609/aaai.v38i17.29829 article EN Proceedings of the AAAI Conference on Artificial Intelligence 2024-03-24

Tea picking has always been mainly manual, but with the development of technology, it possible to use computer image recognition technology assist robots in identifying tea leaves and them. However, special characteristics make difficult for machine recognize them high accuracy efficiency. In this paper, we compare currently available algorithms perform based on YOLOv5 algorithm model. Based original model, CBAM attention mechanism is added improve ability tea. The mAP our model can reach...

10.1145/3629264.3629277 article EN 2023-09-15
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