Toward improvement of SDR accuracy using LDA and query expansion for SpokenDoc
نویسندگان
چکیده
This paper investigates several techniques for spoken document retrieval, toward improvement of retrieval performance based on the conventional method i.e. TF-IDF. The first approach employs rescaled unigrams of LDA to compute a similarity score. The second technique employs query expansion by web retrieval using Yahoo!API. And the third technique is Prioritized And-operator Retrieval based on TF-IDF techniques. We tested these methods using a dry-run data, then it turned out that the third technique is most promising.
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