A Word Similarity Feature-based Semi-supervised Approach for Named Entity Recognition

Named Entity Recognition (NER) is an important branch of Natural Language Processing (NLP). Among the existed NER methods, one of the most advanced and commonly deployed approach is the Long Short Term Memory with a Conditional Random Field layer (LSTM-CRF). However, this supervised method generally requires a large number of labeled corpuses, which is very limited regarding the texts in drug patent of this study. Bearing this in mind, a word...