Slide 2
Slide 2 text
Horie, A. K. & Tanaka-Ishii, K. Sentence
Hedge Detection without Cue Annotation :
A Heuristic Cue Selection Approach. J. Nat.
Lang. Process. 21, 27–40 (2014).
概要(*引用):
This paper present a simple yet effective approch to sentence-
level uncertainty detection which does not rewuire cue word
annotation. Unlike previous works, the proposed method focuses
on cue selection, decoupling it from disambiguation and by
optimizing it over sentence hedgin error rate. High perfomance
for the task is achieved in experiments, even for settings with
poor disambiguation, without cue annotaion and with otherwise
unreliable corpora from a machine learning point-of-view.
キーワード:Hedge Detection, Text Mining
文献紹介:Sentence Hedge Detection without Cue Annotation:
Aheuristic Cue Selection Approch
2014/4/17
長岡技術科学大学 自然言語処理研究室 2014年度 文献紹介ゼミ