Title Anchoring Events to the Time Axis Toward Storyline Construction
Anchoring Events to the Time Axis toward Storyline Title Construction( Dissertation_全文 ) Author(s) Sakaguchi, Tomohiro Citation 京都大学 Issue Date 2019-03-25 URL https://doi.org/10.14989/doctor.k21912 Right 許諾条件により本文は2019-10-01に公開 Type Thesis or Dissertation Textversion ETD Kyoto University Anchoring Events to the Time Axis toward Storyline Construction Tomohiro Sakaguchi March 2019 Abstract To understand the present situations and predict the future, it is essential to look at the past. Since social situations and people’s sense of values are constantly changing, most facts are not true eternally. In order to overview a transition of interpretations about events and things, it is necessary to read texts in a chronological order and organize information along the time axis as a storyline. However, there is a large amount of text on the Web, and since it is no longer impossible to read all the related text manually, a new tool is required. Natural language processing (NLP) is a technology to analyze text using comput- ers and is used in various applications such as information retrieval, opinion analysis, summarization, question answering, and machine translation. A text includes event in- formation in the past, present, and future, so there have been many studies analyzing temporal information in a document. However, they mainly focus on relative local rela- tions between events and between event and time, and there are few studies anchoring events to the time axis with the consideration of global information. In this thesis, we present (i) temporal expressions analysis, (ii) temporal corpus con- struction, and (iii) temporal information analysis and timeline generation, toward story- line generation.
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