SMAAMA: A named entity alignment method based on Siamese network character feature and multi-attribute importance feature for Chinese civil aviation.
Jintao WangJiayi QuZuyi ZhaoXiao DongPublished in: J. King Saud Univ. Comput. Inf. Sci. (2023)
Keyphrases
- multi attribute
- feature set
- information extraction
- data sets
- pairwise
- named entities
- similarity measure
- named entity extraction
- maximum entropy model
- multiple criteria
- chinese characters
- machine translation
- attribute values
- text mining
- probabilistic model
- reinforcement learning
- knowledge base
- artificial intelligence