Experiments in TREC 2003 Genomics Track at NTT

500,000 PubMed abstracts. However, less than 50 documents are relevant for most queries. Applying scoring to all 500,000 abstracts would create a lot of noise. In the first step, we refined the document set with a simple keyword search. For the second step, we developed two methods. The first method (Method 1) uses a heuristic scoring system that simply counts the number of verbs and their derived words, which are important to specify the function of a query gene or its product. The second method (Method 2) uses a machine learning technique to score documents.

• Type: Conference
• Year: 2003
• Where: TREC
• Authors: Hirotoshi Taira, Tomonori Izumitani, Tsutomu Hirao, Hideki Isozaki, Hideto Kazawa, Eisaku Maeda
• Keywords: Simple Keyword Search, TREC 2003, TREC 2008, first Method, first Step