Mar 6, 2023 · To address the above issues, this paper proposes a knowledge fusion method based on lexicon matching word injection, which captures sentence ...
ABSTRACT. Recently, Chinese named entity recognition has attracted a lot of attention. Most of the work utilizes words matching with lexicon.
This is the first report of sex reversal induced by injection of androgenic gland (AG) extract in brachyuran crabs. In the present study, the extract of AG ...
Mar 6, 2023 · In this paper, we proposed a Prompt-based Word-level Information Injection BERT (PWII-BERT) to integrate prompt-guided lexicon information into ...
Integrating lexicon into character-level sequence has been proven effective to leverage word boundary and semantic information in Chinese named entity ...
Prompt-Based Word-Level Information Injection BERT for Chinese Named ...
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... matched Chinese words, which limits their ability to capture the correlation between words. This makes Chinese NER more challenging than English NER, which ...
This approach incorporates all the words corresponding to each character within the representation layer and can be employed in different sequence labeling ...
A lexicon adapter is designed to dynamically extract the most relevant matched words for each character using a char-to-word bi- linear attention mechanism. The ...
Consequently, this paper introduces a novel Chinese NER model named SSMI based on semantic similarity and MIM. We first match all the potential word boundaries ...
Chinese medicine lexicon to obtain all potential word information, and generate corresponding word sequences for the input text sequence. In order to ...