Part-of-speech tagging of Odia language using statistical and deep learning based approaches
Automatic part-of-speech (POS) tagging is a preprocessing step of many natural language
processing tasks, such as named entity recognition, speech processing, information …
processing tasks, such as named entity recognition, speech processing, information …
Parts-of-Speech Tagger in Assamese Using LSTM and Bi-LSTM
Abstract Parts-of-speech (POS) tagging is considered one of the most challenging fields in
natural language processing (NLP). The objective of this research is to develop a POS …
natural language processing (NLP). The objective of this research is to develop a POS …
IMPLEMENTASI ALGORITMA BI-LSTM DALAM MENDETEKSI ENTITAS WAKTU DAN LOKASI KEBAKARAN HUTAN
Penelitian ini berfokus pada penerapan algoritma Bidirectional Long Short-Term Memory (Bi-
LSTM) untuk identifikasi entitas waktu dan lokasi dalam konteks kebakaran hutan …
LSTM) untuk identifikasi entitas waktu dan lokasi dalam konteks kebakaran hutan …
[PDF][PDF] ANALYSIS OF THE BEST FIT PRE-TRAIN DEEP LEARNING MODEL (DLMS) THAT CAN INTEGRATE BLOCKCHAIN TECHNOLOGY IN THE HEALTH …
Blockchain technology is a secure digital platform that allows the creation, sharing, and
storing of innovative solutions for various datasets within sectors including healthcare …
storing of innovative solutions for various datasets within sectors including healthcare …