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Automatic Characterization of Stories
作者:
Sudipta Kar
DOI:
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参考文章
(46)
1.
Dheeraj Rajagopal, Erik Cambria, Daniel Olsher, Kenneth Kwok,
A graph-based approach to commonsense concept extraction and semantic similarity detection
the web conference.
pp. 565- 570 ,(2013) ,
10.1145/2487788.2487995
2.
Andreas F. Ehmann, J. Stephen Downie, Xiao Hu,
LYRIC TEXT MINING IN MUSIC MOOD CLASSIFICATION
international symposium/conference on music information retrieval.
pp. 411- 416 ,(2009)
3.
Erik Cambria,
An Introduction to Concept-Level Sentiment Analysis
mexican international conference on artificial intelligence.
pp. 478- 483 ,(2013) ,
10.1007/978-3-642-45111-9_41
4.
Erik Cambria, Andrew Livingstone, Amir Hussain,
The Hourglass of Emotions
Cognitive Behavioural Systems.
pp. 144- 157 ,(2012) ,
10.1007/978-3-642-34584-5_11
5.
Sheena Iyengar,
The Art of Choosing
,(2010)
6.
Patrick Hanks, Kenneth Ward Church,
Word association norms, mutual information, and lexicography
Computational Linguistics.
,vol. 16, pp. 22- 29 ,(1990) ,
10.5555/89086.89095
7.
Hal Daume Iii, Ellen Riloff, Amit Goyal,
Automatically Producing Plot Unit Representations for Narrative Text
empirical methods in natural language processing.
pp. 77- 86 ,(2010)
8.
Nikolina Koleva, Hans-Ulrich Krieger, Thierry Declerck,
Ontology-Based Incremental Annotation of Characters in Folktales
sighum workshop on language technology for cultural heritage social sciences and humanities.
pp. 30- 34 ,(2012)
9.
Geoffrey Hinton, Oriol Vinyals, Jeff Dean,
Distilling the Knowledge in a Neural Network
arXiv: Machine Learning.
,(2015)
10.
Fangtao Li, Xiaoyan Zhu, Minlie Huang, Chao Han, Ying-Ju Xia, Shu Zhang, Hao Yu,
Structure-Aware Review Mining and Summarization
international conference on computational linguistics.
pp. 653- 661 ,(2010)
来源期刊
2020 年,
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