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Difficult Cases: From Data to Learning, and Back

Author(s):
Beigman Klebanov, Beata; Beigman, Eyal
Publication Year:
2014
Source:
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Short Papers), Baltimore, MD, Jun 23-25, 2014, p390-396
Document Type:
Chapter
Page Count:
7
Subject/Key Words:
Automated Scoring and Natural Language Processing Automated Scoring of Writing Quality Computational Linguistics Latent Semantic Analysis Linguistic Annotation Machine Learning Words (Phonetic Units)

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