MAZEA-Web (beta)

MAZEA-Web is a multilabel rhetorical structure classifier developed to analyse English abstracts. In a nutshell, this system splits abstract sentences and label each one with one or more labels among: background, gap, purpose, method, result, conclusion.

Before using:
1. Files must be in the txt format (encoded in UTF-8)
2. Max size: 5 MB

Enter your text:
Upload do abstract:


Trainning corpora for download:
Health Sciences and Physical Sciences and Engineering
Created by: Luiz Carlos Genoves Jr.
Supervised by Sandra Maria Aluísio
Sentence segmentation is performed by the OpenNLP tool.