運用語意角色標註技術建構個人知識庫之研究

Personal Knowledge Base Construction Using Semantic Role Labeling

楊宗翰(TsungHan Yang)

指導教授 ： 陳信希

國立臺灣大學/電機資訊學院/資訊工程學研究所/碩士(2018年)

https://doi.org/10.6342/NTU201803902

摘要

一直以來人們都有習慣記錄生活日誌，即有關個人日常經驗有關的訊息。然而此類資料常以非結構化的自然語言方式存在，無法直接應用。此研究旨在由自然語言自動化建構個人知識庫，其中包含建立資料集以及設計標記生活日誌統一的標記指標。再者，我們使用了FrameNet 語意分析以提供語意角色之間的互動情形，並且從中擷取出個人知識。最後，我們測試系統以自然語言建構個人知識庫，並分析所提出方法的穩健性。

關鍵字

個人知識庫 ； 語意角色標註技術 ； 生活日誌

並列摘要

Throughout the history, people have been accustomed to leave lifelogs, or pieces of information regarding their personal experiences. However, such records are usually written in unstructured natural languages, making a challenge for today’s applications to access. In this thesis, we propose a framework to construct a personal knowledge base automatically. We build a FrameNet semantic parser to extract interactions between semantic roles as a basis to generate the factual triples in the personal knowledge base. For evaluation, we construct a dataset from scratch and design universal annotation guidelines for lifelogs. In the experiments, we test the system performance on personal knowledgebase construction from natural language and analyze the robustness of the proposed methodology.

並列關鍵字

Personal Knowledge Base ； Semantic Role Labeling ； Lifelogging

參考文獻

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