2017
IJCNLP
IJCNLP 2017
Leveraging Diverse Lexical Chains to Construct Essays for Chinese College Entrance Examination
Abstract
AbstractIn this work we study the challenging task of automatically constructing essays for Chinese college entrance examination where the topic is specified in advance. We explore a sentence extraction framework based on diversified lexical chains to capture coherence and richness. Experimental analysis shows the effectiveness of our approach and reveals the importance of information richness in essay writing.
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Interdisciplinary Bridge
— Machine Learning and Natural Language Processing
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Trend Setter
— Applications
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Keyword Pioneer
— essay generation
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Security & Privacy, Speech & Audio