Sentence examples for entity text from inspiring English sources
Early attempts to build a chemical NER systems, due to the lack of a chemical entity text corpus, explored the use of lexical resources related to chemistry derived from the UMLS Metathesaurus, which was used for training and testing various methods [24].
The sentence text can roughly be divided into three parts: text between the entities, text before the entities, and text after the entities.
OSCAR3 concentrated on the identification and interpretation of chemical entities in text (named entity recognition, NER).
In order to identify any named entity in text data, a rule-generation process has to process a huge amount of text to collect accurate rules.
Attached to each entity were text bubbles that showed identifying characteristics: the person's gender and home town, for example.
This section turns to calculate sentiment orientation for name entity and text.
Partly, this may be due to the difficulty in defining a drug entity in text.
One way to disambiguate gene name is through gene normalization the task of mapping a named entity in text (in this case a gene) to an identifier in a database (5).
Since the first task is part of the second task, the whole process can be described by the workflow in Figure 1, including the steps of preprocessing, named entity recognition/normalization, text classification, IR and hierarchy filtering.
Automated techniques with the aim of detecting (tagging) mentions of named entities in text are commonly called named entity recognition (NER) systems.
