Chemical Entity Recognition and Resolution to ChEBI
نویسندگان
چکیده
منابع مشابه
Chemical Entity Recognition and Resolution to ChEBI
Chemical entities are ubiquitous through the biomedical literature and the development of text-mining systems that can efficiently identify those entities are required. Due to the lack of available corpora and data resources, the community has focused its efforts in the development of gene and protein named entity recognition systems, but with the release of ChEBI and the availability of an ann...
متن کاملIBEnt: Chemical Entity Mentions in Patents using ChEBI
This article presents our approach to the CEMP task of BioCreative V.5, which consisted in using our system, IBEnt, to identify chemical entity mentions in patents through machine learning and semantic similarity techniques. The features used combine the results of a CRF classifier, two lexical matching methods (FiGO and MER) and semantic similarity measures on ChEBI ontology. We also tested th...
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 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 کاملIdentifying Chemical Entities based on ChEBI
This software demonstration paper presents Identifying Chemical Entities (ICE), a platform composed by algorithms for chemical entity recognition, entity resolution to a reference database, namely ChEBI, and validation using chemical semantic similarity. It aims to provide the users with an improved display of entity recognition results, exposing outliers which are possible recognition errors a...
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: ISRN Bioinformatics
سال: 2012
ISSN: 2090-7346
DOI: 10.5402/2012/619427