Publications by authors named "Shipra Dingare"
Comp Funct Genomics
June 2010
Article Synopsis
- A maximum entropy-based system was developed for identifying named entities in biomedical abstracts.
- The system achieved an F-score of 83.2% in the BioCreative evaluation and 70.1% in the BioNLP evaluation.
- Key features of the system include the use of local features, attention to boundary identification, and the integration of external resources, along with a discussion of data annotation issues that affected performance.
BMC Bioinformatics
February 2006
Article Synopsis
- Good automatic information extraction tools can help process the growing amount of biomedical literature, with named entity recognition as a key feature.
- A maximum-entropy based system was developed to identify gene and protein names in biomedical abstracts, utilizing a variety of features.
- In evaluations, the system achieved high precision and recall, demonstrating effective identification of entity boundaries and innovative use of external knowledge sources.
