Improving chemical entity recognition through h-index based semantic similarity
نویسندگان
چکیده
منابع مشابه
Improving chemical entity recognition through h-index based semantic similarity
BACKGROUND Our approach to the BioCreative IV challenge of recognition and classification of drug names (CHEMDNER task) aimed at achieving high levels of precision by applying semantic similarity validation techniques to Chemical Entities of Biological Interest (ChEBI) mappings. Our assumption is that the chemical entities mentioned in the same fragment of text should share some semantic relati...
متن کاملImprovement of Chemical Named Entity Recognition through Sentence-based Random Under-sampling and Classifier Combination
Chemical Named Entity Recognition (NER) is the basic step for consequent information extraction tasks such as named entity resolution, drug-drug interaction discovery, extraction of the names of the molecules and their properties. Improvement in the performance of such systems may affects the quality of the subsequent tasks. Chemical text from which data for named entity recognition is extracte...
متن کاملSemantic enrichment of journal articles using chemical named entity recognition
We describe the semantic enrichment of journal articles with chemical structures and biomedical ontology terms using Oscar, a program for chemical named entity recognition (NER). We describe how Oscar works and how it can been adapted for general NER. We discuss its implementation in a real publishing workflow and possible applications for enriched articles.
متن کاملImproving English Named Entity Recognition
In recent years much of the work in named entity recognition has been focused on tackling entities in different languages or domains. However the task of English named entity recognition still remains to be solved. In this paper we explore more ways to improve the English named entity recognition system beyond just distributional semantics and the use of external gazetteer. These ways include p...
متن کاملChemical compound and drug name recognition using CRFs and semantic similarity based on ChEBI
This document presents our approach to the BioCreative IV challenge of recognition and classification of drug names (CHEMDNER task). We developed a system based on Conditional Random Fields for recognizing chemical terms, and on ChEBI resolution and semantic similarity techniques for validating the recognition results. Our system created multiple classifiers according to different training data...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Cheminformatics
سال: 2015
ISSN: 1758-2946
DOI: 10.1186/1758-2946-7-s1-s13