TY - GEN
T1 - A unified framework to identify and extract uncertainty cues, holders, and scopes in one fell-swoop
AU - Al-Sabbagh, Rania
AU - Girju, Roxana
AU - Diesner, Jana
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2015.
PY - 2015
Y1 - 2015
N2 - 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 F1 score of 0.759.
AB - 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 F1 score of 0.759.
KW - Morphologically-Rich Languages
KW - Supervised Sequence Labeling
KW - Twitter
KW - Uncertainty Automatic Analysis
KW - Unified Frameworks
UR - http://www.scopus.com/inward/record.url?scp=84942683669&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84942683669&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-18111-0_24
DO - 10.1007/978-3-319-18111-0_24
M3 - Conference contribution
AN - SCOPUS:84942683669
SN - 9783319181103
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 310
EP - 334
BT - Computational Linguistics and Intelligent Text Processing - 16th International Conference, CICLing 2015, Proceedings
A2 - Gelbukh, Alexander
PB - Springer
T2 - 16th Annual Conference on Intelligent Text Processing and Computational Linguistics, CICLing 2015
Y2 - 14 April 2015 through 20 April 2015
ER -