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https://dl.acm.org/citation.cfm?id=2380845
The text was updated successfully, but these errors were encountered:
・大半のupdate summarizationの手法はdocument set Aがgivenのとき,document set Bのupdate summarizationをつくる際には,redundancy removalの問題として扱っている. ・この手法は,1つのsentenceの中にredundantな情報とnovelな情報が混在しているときに,そのsentenceをredundantなsentenceだと判別してしまう問題点がある.加えて,novel informationを含んでいると判別はするけれども,明示的にnovel informationがなんなのかということをモデル化していない. ・Bayesian Modelを使うことによって,他の手法では抜け落ちている確率的な取り扱いが可能にし, unsupervisedでできるようにする.
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https://dl.acm.org/citation.cfm?id=2380845
The text was updated successfully, but these errors were encountered: