IIT TREC 2007 Genomics Track: Using Concept-Based Semantics in Context for Genomics Literature Passage Retrieval.
Jay Urbain, Nazli Goharian, Ophir Frieder · 2007
For the TREC-2007 Genomics Track [1], we explore unsupervised techniques for extracting semantic information about biomedical concepts with a retrieval model for using these semantics in context to improve passage retrieval precision. Dependency grammar analysis is evaluated for boosting the rank of passages where complementary subject/object concept pairs can be identified between queries and sentences from candidate passages. In our model, a concept is represented as a set of synonymous terms and a concept-word distribution. Concept terms are identified using an information extraction technique relying on shallow sentence parsing, external knowledge sources, and document context.