A proposed hybrid pipeline combining RE2 regex, Aho-Corasick exact matching, and AI named entity recognition reportedly detects PII and PHI with a 91.6 percent F1 score.
Vietnamese Named Entity Recognition using Token Regular Expressions and Bidirectional Inference
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
abstract
This paper describes an efficient approach to improve the accuracy of a named entity recognition system for Vietnamese. The approach combines regular expressions over tokens and a bidirectional inference method in a sequence labelling model. The proposed method achieves an overall $F_1$ score of 89.66% on a test set of an evaluation campaign, organized in late 2016 by the Vietnamese Language and Speech Processing (VLSP) community.
citation-role summary
background 1
citation-polarity summary
fields
cs.CR 1years
2025 1verdicts
REJECT 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
Decoding Complexity: Intelligent Pattern Exploration with CHPDA (Context Aware Hybrid Pattern Detection Algorithm)
A proposed hybrid pipeline combining RE2 regex, Aho-Corasick exact matching, and AI named entity recognition reportedly detects PII and PHI with a 91.6 percent F1 score.