Sciweavers

Share
IRI
2008
IEEE

Biological question answering with syntactic and semantic feature matching and an improved mean reciprocal ranking measurement

8 years 11 months ago
Biological question answering with syntactic and semantic feature matching and an improved mean reciprocal ranking measurement
Specific information on biomolecular events such as protein-protein and gene-protein interactions is essential for molecular biology researchers. However, the results derived by current keyword-based information retrieval engine contain a great deal of noisy information, which forces biologists to use a combination of several keywords to locate information. To resolve this problem,, we propose a question answering (QA) system that offers more efficient and user-friendly ways to retrieve desired information. In addition, QA system measurements may suffer from the same score problem, so the evaluation of a QA system may be unfair. An improved mean reciprocal rank (MRR) measurement, mean average reciprocal rank (MARR), and an efficient formula to reduce the computational complexity of the MARR are proposed to address the same score problem. With our syntactic and semantic features, our system achieves a Top-1 MARR of 74.11% and Top-5 MARR of 76.68%. Compared to the baseline system, Top-1...
Ryan T. K. Lin, Justin Liang-Te Chiu, Hong-Jie Dai
Added 31 May 2010
Updated 31 May 2010
Type Conference
Year 2008
Where IRI
Authors Ryan T. K. Lin, Justin Liang-Te Chiu, Hong-Jie Dai, Min-Yuh Day, Richard Tzong-Han Tsai, Wen-Lian Hsu
Comments (0)
books