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Information extraction to improve cross-lingual document retrieval

We present a filtering mechanism using two cross-lingual information extraction (CLIE) systems for improving document relevance of cross-lingual information retrieval (CLIR) for queries conforming to predefined templates. Experiments on retrieving Chinese documents in response to English GALE arrest queries show that this approach can obtain a 12.7% absolute improvement in relevance (representing a 24.8% relative error reduction) for the top 25 retrieved documents. We also demonstrate that Chinese IE can provide a valuable supplement to English IE to enhance retrieval performance.