Open AccessUnknown word handling in structured text classification
Author(s) -
Anastasiya Silaeva,
Igor Balk
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1727/1/012017
Subject(s) - natural language processing , complement (music) , word (group theory) , computer science , task (project management) , artificial intelligence , named entity recognition , information retrieval , linguistics , engineering , biology , biochemistry , philosophy , systems engineering , complementation , gene , phenotype
In the NLP task, high priority was accorded to the accumulation of vocabularies. To complement them, you need to find unknown words. Unique words with the help of an expert can be determined in the dictionary. This paper presents a technique for finding unknown words in Named Entity Recognition (NER).