2015 | OriginalPaper | Buchkapitel
A Unified Framework to Identify and Extract Uncertainty Cues, Holders, and Scopes in One Fell-Swoop
verfasst von : Rania Al-Sabbagh, Roxana Girju, Jana Diesner
Erschienen in: Computational Linguistics and Intelligent Text Processing
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We present a unified framework based on supervised sequence labelling methods to identify and extract uncertainty cues, holders, and scopes in one-fell swoop with an application on Arabic tweets. The underlying technology employs Support Vector Machines with a rich set of morphological, syntactic, lexical, semantic, pragmatic, dialectal, and genre-specific features, and yields an average F
1
score of 0.759.