“紫金主張”海外專家學者講座預告

閱讀: 187


講座名稱:Exploring Wikipedia-enhanced Concept Embeddings for   Education Content Representation

講座時間: 627日(周四)下午3:00-5:00

講座地點: 經管院106

講座簡介:Concepts are fundamental units which are used to summarize a learning content, tag a course, define prerequisites and state learning objectives for a course. In traditional education systems, concepts are defined either through expert-based manual annotations or automatic text-based key-phrase extraction. Both approaches have their own advantages and limitations, which include expert-based annotations are reliable but time-consuming and expensive, whereas automatic key-phrase extraction is quick but suffer through the problem of noisy and non-standard concept extraction. To address these challenges, we introduce one approach for concept embeddings, which can utilize domain specific educational content and external knowledge graph resources to achieve robust and effective concept representation. We conducted evaluations of the proposed models on two fundamental tasks in education system: education content linking and student modeling. The results demonstrate that our proposed concept embedding representations can perform better than the state-of-the-art automatic concept representation, and the representations can help address the challenge of bringing all concepts to one representation space.

主講人簡介:何大慶博士現爲美國匹茲堡大學計算與信息學院(iSchool)教授,並擔任iSchool圖書館與信息博士計劃委員會主任。他擔任了十余個研究項目的主持人或共同主持人,研究項目包括:美國國家科學基金會項目、美國國防部高級研究計劃署資助項目、匹茲堡大學及其他機構資助的項目。何教授在國際公認的期刊與會議上發表論文120余篇,並擔任信息檢索及Web技術領域的二十多個主要國際會議程序委員會成員,同時擔任SCI索引雜志Information Processing and ManagementInternet ResearchAslib Journal of Information Management的編委。其研究工作主要集中在:信息檢索(單語言和多語言)、社交網絡上的信息獲取、自適應Web系統與用戶建模、交互檢索界面設計、Web日志挖掘與分析和研究數據管理。


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