Named Entity Recognition for Bacterial Type IV Secretion Systems

Named Entity Recognition for Bacterial Type IV Secretion Systems

Research on specialized biological systems is often hampered by a lack of consistent terminology, especially across species. In bacterial Type IV secretion systems genes within one set of orthologs may have over a dozen different names. Classifying research publications based on biological processes, cellular components, molecular functions, and microorganism species should improve the precisio...

Named Entity Recognition in Persian Text using Deep Learning

Named entities recognition is a fundamental task in the field of natural language processing. It is also known as a subset of information extraction. The process of recognizing named entities aims at finding proper nouns in the text and classifying them into predetermined classes such as names of people, organizations, and places. In this paper, we propose a named entity recognizer which benefi...

Improving Multilingual Named Entity Recognition with Wikipedia Entity Type Mapping

The state-of-the-art named entity recognition (NER) systems are statistical machine learning models that have strong generalization capability (i.e., can recognize unseen entities that do not appear in training data) based on lexical and contextual information. However, such a model could still make mistakes if its features favor a wrong entity type. In this paper, we utilize Wikipedia as an op...

Boosting for Named Entity Recognition

Named Entity Recognition for Telugu

This paper is about Named Entity Recognition (NER) for Telugu. Not much work has been done in NER for Indian languages in general and Telugu in particular. Adequate annotated corpora are not yet available in Telugu. We recognize that named entities are usually nouns. In this paper we therefore start with our experiments in building a CRF (Conditional Random Fields) based Noun Tagger. Trained on...