A method of short text representation based on the feature probability embedded vector
W Zhou, H Wang, H Sun, T Sun - Sensors, 2019 - mdpi.com
Text representation is one of the key tasks in the field of natural language processing (NLP).
Traditional feature extraction and weighting methods often use the bag-of-words (BoW) …
Traditional feature extraction and weighting methods often use the bag-of-words (BoW) …
Learning chinese word embeddings from character structural information
Word embedding is a basic task in natural language processing area. Unlike English,
Chinese subword units, such as characters, radicals, and components, contain rich semantic …
Chinese subword units, such as characters, radicals, and components, contain rich semantic …
Traditional chinese medicine word representation model augmented with semantic and grammatical information
Y Ma, Z Sun, D Zhang, Y Feng - Information, 2022 - mdpi.com
Text vectorization is the basic work of natural language processing tasks. High-quality vector
representation with rich feature information can guarantee the quality of entity recognition …
representation with rich feature information can guarantee the quality of entity recognition …