This paper presents the importance and use of text annotation in NLP models and reviews BRAT - an NLP- assisted text annotation tool and other powerful and modern methods. BRAT is an NLP-based tool for text annotation (annotation: making notes, adding comments to a text in order to give an explanation or opinion to the source article). It is used for high-quality structured annotation for various NLP activities and focuses on increasing annotator productivity using NLP techniques. Annotation teaches NLP models how to identify parts of speech, real-world objects (named entities such as a person, location, place), and key phrases within a text. NLP algorithms are trained using large, annotated text datasets and annotation is the backbone of services like automatic speech recognition, chatbots, and sentimental analysis. Keywords: NLP, ML, CNN, TCN, Ensemble, Corpus.
CITATION STYLE
Patil, C. S. (2022). NLP Assisted Text Annotation. INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT, 06(06). https://doi.org/10.55041/ijsrem14651
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