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標題Title: Multilingual Single Document Keyword Extraction for Information Retrieval
作者Authors: 劉芸如
上傳單位Department: 資訊管理系
上傳時間Date: 2009-11-17
上傳者Author: 劉芸如
審核單位Department: 資訊管理系
審核老師Teacher: 陳志達
檔案類型Categories: 研究生論文報告Thesis
關鍵詞Keyword: Keyword、Extraction、Retrieval
摘要Abstract: Keywords play an important role in many aspects of
information retrieval (IR). From web searches to text
summarization good keywords are a necessity. In a typical IR
system algorithms are used which require the entire document
collection to be built beforehand. While some research has been
done on extracting keywords from a single document, the quality
of the keywords was not based on how well they perform in IR
tasks. Moreover, they are designed for only one language and the
applicability to other languages is unknown. As such, this paper
proposes a new algorithm that is applicable to multiple languages
and extracts effective keywords that, to a high degree, uniquely
identify a document. It needs only a single document to extract
keywords and does not rely on machine learning methods. It was
tested on a Japanese-English bilingual corpus and a portion of
the Reuter's corpus using a keyword search algorithm. The
results show that the extracted keywords do a good job at
uniquely identifying the documents.

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2009_11_dd1ccc71.ppt 578Kb ppt 423 220
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