Indonesian Language Term Extraction using Multi-Task Neural Network

The rapidly expanding size of data makes it difficult to extricate information and store as computerized knowledge. Relation extraction term play a crucial role in resolving this issue. Automatically finding concealed relationship between terms that appear the text can help people build computer-based knowledge more quickly. Term is required one components because identifying significant essential step before determining their relationship. We propose an end-to-end system capable extracting from address Indonesian language Our method combines two multilayer perceptron neural networks perform Part-of-Speech (PoS) labeling Noun Phrase Chunking. models were trained joint model solve problem. proposed method, with f-score 86.80%, be considered state-of-the-art algorithm for performing Language using noun phrase chunking.