Explain Hybrid Based Named Entity Recognizer

789    Asked by FaithDavidson in Data Science , Asked on Nov 29, 2019
Answered by Faith Davidson

Hybrid Based NER is a combination of different types of tagger that is used to recognize entities between two languages. It basically uses all seeds or gazetteers such as list of nouns, names of organizations, contextual cues, lists of prefixes and suffixes, etc. to find an entity and are also added to the database of entities.

A hybrid system of extracting names of chemicals is given below




Your Answer

Interviews

Parent Categories