This document describes the methods and results for our participation in the BioNLP’09 Shared Task #1 on Event Extraction. It also contains some error analysis and a brief discussion of the results. Previous shared tasks in the BioNLP community have focused on extracting gene and protein names, and on finding (direct) protein-protein interactions (PPI). This year’s task was slightly different, ...

Owing to the effect of classified models was different in Protein-Protein Interaction (PPI) extraction, which was made by different single kernel functions, and only using single kernel function hardly trained the optimal classified model to extract PPI, this paper presents a strategy to find the optimal kernel function from a kernel function set. The strategy is that in the kernel function set...

In this paper, we propose using Maximum Entropy to extract protein-protein interaction information from the literature, which overcomes the limitation of the state of art co-occurrence based and rule-based approaches. It incorporates corpus statistics of various lexical, syntactic and semantic features. We find that the use of shallow lexical features contributes a large portion of performance ...

It is essential to identify and determine the properties of native plants as natural genetic resources. The present study was performed to identify the Mindium (Michauxi) laevigata species using molecular and biochemical procedures such as genomic DNA extraction, sequencing, and antioxidant capacity and protein content determination at both vegetative and generative phases in various parts of t...