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In this paper, we propose a general methodology for designing semantic role/relation system. Based on this methodology, we establish a succinct semantic relation system for consecutive predicative constituents for Chinese, which includes serial verb construction, discourse construction, and other constructions describing serial events. This semantic relation system has 13 middle-level classes and...
Recently many researches have shown that word embeddings are able to represent information from word related contexts or its nearest neighborhood words, and thus are applied in many NLP tasks successfully. In this paper, we propose convolutional neural network model to extent word embeddings to mention/antecedent representation. These representations are obtained through convoluting neighboring word...
Attributes are the way we describe the world. A simple classification on attributes' object host or event host is not enough for explaining appearance of both object attributes and event attributes. Thus we propose a presentation and explanation for attributes which introduce single and group host criterion for object attributes and linguistic valence for event attributes. Especially, we argue that...
Sentiment analysis is an important task in natural language processing and computational linguistics. Automatic sentiment analysis has been widely applied to opinion reviews and social media for a variety of applications, such as marketing and customer services. The dimensional approach can provide more fine-grained sentiment analysis in which each vocabulary is assigned two continuous numerical values...
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