Focused web crawling in the acquisition of comparable corpora
Information Retrieval
Data driven methods for improving mono- and cross-lingual IR performance in noisy environments
Proceedings of the second workshop on Analytics for noisy unstructured text data
Hypothesis generation and ranking based on event similarities
Proceedings of the 2010 ACM Symposium on Applied Computing
Effects of aligned corpus quality and size in corpus-based CLIR
ECIR'08 Proceedings of the IR research, 30th European conference on Advances in information retrieval
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The goal of the TREC Genomics Track is to create test collections for evaluation of information retrieval (IR) and related tasks in the genomics domain. The Genomics Track differs from the other TREC tracks in that it is focused on retrieval in a specific domain. Initially the track has focused on modeling advanced users accessing the scientific literature. The advanced users include biomedical scientists and database curators or annotators. New advances in biotechnologies have changed the face of biological research, particularly "high-throughput" techniques such as gene microarrays (Mobasheri, Airley et al., 2004). These not only generate massive amounts of data but also have led to an explosion of new scientific knowledge. As a result, this domain is ripe for improved information access and management.