Why pay more? A simple and efficient named entity recognition system for tweets

Expert Systems with Applications(2021)

引用 16|浏览39
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摘要
•This paper investigates the problem of named entity recognition from tweets.•We have combined deep learning models with traditional hand-crafted features.•Output of bidirectional long short term memory is combined with extracted features.•Finally, the conditional random field is applied to perform the task.•Results claim, our system greatly outdo the performance of the multi-modal system.
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关键词
Conditional random field,Hand-crafted feature,Long short term memory,Named entity recognition,Sequence labelling
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