Unsupervised deep structured semantic models for commonsense reasoning

Commonsense reasoning is fundamental to natural language understanding. While traditional methods rely heavily on human-crafted features and knowledge bases, we explore learning commonsense knowledge from a large amount of raw text via unsupervised learning. We propose two neural network models base...

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Bibliographic Details
Main Authors: WANG, Shuohang, ZHANG, Sheng, SHEN, Yelong, LIU, Xiaodong, LIU, Jingjing, GAO, Jianfeng, JIANG, Jing
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2019
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Online Access:https://ink.library.smu.edu.sg/sis_research/4789
https://ink.library.smu.edu.sg/context/sis_research/article/5792/viewcontent/Unsupervised_deep_structured_semantic_models_2019_NACL_av.pdf
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Institution: Singapore Management University
Language: English
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