教師資料查詢 | 類別: 會議論文 | 教師: 戴敏育 Min-Yuh Day (瀏覽個人網頁)

標題:Artificial Intelligence for Automatic Text Summarization
學年106
學期2
發表日期2018/07/07
作品名稱Artificial Intelligence for Automatic Text Summarization
作品名稱(其他語言)
著者Min-Yuh Day; Chao-Yu Chen
作品所屬單位
出版者
會議名稱The 2018 IEEE 18th International Conference on Information Reuse and Integration (IEEE IRI 2018)
會議地點Salt Lake City, Utah, USA
摘要Automatic text summarization has played a critical role in helping people obtain key information from increasing huge data with the advantaged development of technology. In the past, few literatures are related to solve the problem of generating titles (short summaries) by using artificial intelligence (AI). The purpose of this study is that we proposed an AI approach for automatic text summarization. We developed an AI text summarization system architecture with three models, namely, statistical model, machine learning model, and deep learning model as well as evaluating the performance of three models. Essay titles and essay abstracts are used to train artificial intelligence deep learning model to generate the candidate titles and evaluated by ROUGE for performance evaluation. The contribution of this paper is that we proposed an AI automatic text summarization system by applying deep learning to generate short summaries from the titles and abstracts of the Web of Science (WOS) database.
關鍵字Artificial Intelligence;Sequence-to-Sequence;Automatic Text Summarization, Long Short-Term Memory;Recurrent Neural Network
語言英文(美國)
收錄於
會議性質國際
校內研討會地點
研討會時間20180707~20180709
通訊作者
國別美國
公開徵稿
出版型式
出處Proceedings of the 2018 IEEE 18th International Conference on Information Reuse and Integration (IEEE IRI 2018)
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