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AI Marker-based Large-scale AI Literature Mining
The knowledge contained in academic literature is interesting to mine. I...
11/01/2020 ∙ by Rujing Yao, et al. ∙
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Method and Dataset Entity Mining in Scientific Literature: A CNN + Bi-LSTM Model with Self-attention
Literature analysis facilitates researchers to acquire a good understand...
10/26/2020 ∙ by Linlin Hou, et al. ∙
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AntNet: Deep Answer Understanding Network for Natural Reverse QA
This study refers to a reverse question answering(reverse QA) procedure,...
12/01/2019 ∙ by Lei Yang, et al. ∙
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Method and Dataset Mining in Scientific Papers
Literature analysis facilitates researchers better understanding the dev...
11/29/2019 ∙ by Rujing Yao, et al. ∙
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Semi-interactive Attention Network for Answer Understanding in Reverse-QA
Question answering (QA) is an important natural language processing (NLP...
01/12/2019 ∙ by Qing Yin, et al. ∙
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Detecting Adversarial Examples via Key-based Network
Though deep neural networks have achieved state-of-the-art performance i...
06/02/2018 ∙ by Pinlong Zhao, et al. ∙
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ρ-hot Lexicon Embedding-based Two-level LSTM for Sentiment Analysis
Sentiment analysis is a key component in various text mining application...
03/21/2018 ∙ by Ou Wu, et al. ∙
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Color Assessment and Transfer for Web Pages
Colors play a particularly important role in both designing and accessin...
08/07/2012 ∙ by Ou Wu, et al. ∙
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