06月14日(Thu) 09:00〜12:20 I会場(-ゆ～あいプラザ山口県社会福祉会館／大ホール(170))
| 演題番号 | 3I1-R-9-2 |
|---|---|
| 題目 | 構造的関連性学習を用いた論文特許検索 |
| 著者 | 森 純一郎(東京大学・大学院工学系研究科) |
| 時間 | 06月14日(Thu) 09:20〜09:40 |
| 概要 | We propose a method to automatically associate documents from different domains such as scientific paper and patent. The proposed method enables cross-domain academic search on the scientific data. Borrowing ideas from multi-task learning and structural correspondence learning, our approach automatically identifies correspondences among the words from different domains using a small number of so-called concepts. Our method models the correlation between the concepts and all other words by training linear classifiers on the documents from different domains. |
| 論文 | PDFファイル |