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Question classification plays an important role in cross-language question answering (CLQA) systems, while question Informer plays a key role in enhancing question classification for factual question answering. In this paper, we propose an integrated genetic algorithm (GA) and machine learning (ML) approach for question classification in English-Chinese cross-language question answering. To enhance...
Biomedical researchers rely on keyword-based search engines to retrieve superficially relevant documents, from which they must filter out irrelevant information manually. Hence, there is an urgent need for a more efficient system to help them rapidly locate specific molecular events and the participants involved in these events. In this paper, we propose a novel search system with a new search interface...
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