Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management 2015
DOI: 10.5220/0005609703070315
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Automatic Extraction of Task Statements from Structured Meeting Content

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Cited by 8 publications
(3 citation statements)
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“…Seen through a communicative lens, meeting minutes may be able to show whether messages about the medical treatment for alcohol use disorder engaged with the community. The analysis of meeting minutes has been done in previous research (Nagao et al, 2015;Tomobe & Nagao, 2007). Known as "discussion mining" the process of extracting summative information from minutes follows a process of semantic annotation of relevant discussion content (Nagao, 2007;Nagao et al, 2005).…”
Section: Summative Evaluation Methodsmentioning
confidence: 99%
“…Seen through a communicative lens, meeting minutes may be able to show whether messages about the medical treatment for alcohol use disorder engaged with the community. The analysis of meeting minutes has been done in previous research (Nagao et al, 2015;Tomobe & Nagao, 2007). Known as "discussion mining" the process of extracting summative information from minutes follows a process of semantic annotation of relevant discussion content (Nagao, 2007;Nagao et al, 2005).…”
Section: Summative Evaluation Methodsmentioning
confidence: 99%
“…We developed a method of statistically determining whether statements were about future tasks, i.e., task statements [5]. Some attributes, including linguistic characteristics, structures of discussions, and speaker information, were used to create a probabilistic model.…”
Section: Task Statement Extractionmentioning
confidence: 99%
“…Thus, task statements have been automatically extracted by using a machine learning model that has metadata in a seminar content and linguistic information of the utterance as features [16] [17]. The extracted task statement list is shown in the statement view of RAO (Figure 4, 6).…”
Section: A Goal Setting Based On Challenges and Tasksmentioning
confidence: 99%