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Chapter and Conference Paper
Relation Extraction Method Based on Two-Way Attentions of Syntactic Knowledge
Relation extraction is in order to obtain the relationship between two entities in one sentence. It is the upstream task for natural language processing tasks. The deep learning method eliminates the need of m...
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Chapter and Conference Paper
Joint Extraction of Entity and Semantic Relation Using Encoder - Decoder Model Based on Attention Mechanism
Attention-based encoder-decoder neural network models have recently shown promising results in machine translation and speech recognition. In this work, we propose an attention based neural network model for j...
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Chapter and Conference Paper
Bidirectional Long Short-Term Memory with Gated Relevance Network for Paraphrase Identification
Semantic interaction between text segments, which has been proven to be very useful for detecting the paraphrase relations, is often ignored in the study of paraphrase identification. In this paper, we adopt a...