110年第1學期-0178 文討:從教育認知心理學到自然語言處理 課程資訊
評分方式
評分項目 | 配分比例 | 說明 |
---|---|---|
Attendance and class participation | 15 | |
Short exams | 15 | |
Short essays (homework) | 25 | |
Class presentations | 20 | |
Final report | 25 |
選課分析
本課程名額為 20人,已有19 人選讀,尚餘名額1人。
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教育目標
This course offers an introductory study of the nature of language through the perspectives of psycholinguistics, educational psychology and Natural Language Processing (NLP). The course introduces cognitive models of how humans perform language tasks and then explains how these models inform educational psychology practice for language learning and teaching. Importantly, students will also contrast human performance and NLP tools performance for a broad range of common language tasks (e.g. answering questions about a text or summarizing it). Recent NLP performance breakthroughs for complex language tasks will be explored and implications for learning/teaching languages will be discussed.
課程資訊
基本資料
選修課,學分數:2-0
上課時間:五/B,5[M023]
修課班級:外文系3,4
修課年級:年級以上
選課備註:網路選課
教師與教學助理
授課教師:Galmar Bruno
大班TA或教學助理:尚無資料
Office HourFriday, FLLD office
9:10-10:10
12:10-13:10
授課大綱
授課大綱:開啟授課大綱(授課計畫表)
(開在新視窗)
參考書目
Essays and excerpts from two books by Marvin Minsky. The Society of Mind. The Emotion Machine.
Chapter 9 from O’Reilly, R. C., Munakata, Y., Frank, M. J., Hazy, T. E., and Contributors (2012). Computational Cognitive Neuroscience. Wiki Book, 4th Edition (2020). URL: https://CompCogNeuro.org
Poibeau, T., & Vasishth, S. (2016). Introduction: Cognitive Issues in Natural Language Processing. arXiv preprint arXiv:1610.07365.
Powers, R. (1995). Galatea 2.2. Macmillan.
https://demo.allennlp.org/
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