11 Result(s)
within
Yanan Cao
Computer Appl. in Social and Behavioral Sciences
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Chapter and Conference Paper
Fake News Detection with Heterogenous Deep Graph Convolutional Network
Fake news detection is a challenging problem due to its tremendous real-world political and social impacts. Previous works judged the authenticity of news mainly based on the content of a single news, which is...
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Chapter and Conference Paper
Knowledge-Based Diverse Feature Transformation for Few-Shot Relation Classification
Few-shot relation classification is to classify novel relations having seen only a few training samples. We find it is unable to learn comprehensive relation features with information deficit caused by the sca...
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Chapter and Conference Paper
CLTS: A New Chinese Long Text Summarization Dataset
We present CLTS, a Chinese long text summarization dataset, in order to solve the problem that large-scale and high-quality datasets are scarce in automatic summarization, which is a limitation for further res...
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Chapter and Conference Paper
Category-Level Adversarial Network for Cross-Domain Sentiment Classification
Cross-domain sentiment classification utilizes useful information in the source domain to improve the sentiment classification accuracy in the target domain which has few or no labeled data. Most existing meth...
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Chapter and Conference Paper
Answer-Focused and Position-Aware Neural Network for Transfer Learning in Question Generation
Question generation aims to generate natural questions conditioned on answer and the corresponding context pairs, which has the potential value of develo** annotated data sets for natural language processin...
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Chapter and Conference Paper
Column Concept Determination for Chinese Web Tables via Convolutional Neural Network
Hundreds of millions of tables on the Internet contain a considerable wealth of high-quality relational data. However, the web tables tend to lack explicit key semantic information. Therefore, information extr...
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Chapter and Conference Paper
An Adversarial Training Framework for Relation Classification
Relation classification is one of the most important topics in Natural Language Processing (NLP) which could help mining structured facts from text and constructing knowledge graph. Although deep neural networ...
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Chapter and Conference Paper
Insider Threat Detection with Deep Neural Network
Insider threat detection has attracted a considerable attention from the researchers and industries. Existing work mainly focused on applying machine-learning techniques to detecting insider threat. However, t...
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Chapter and Conference Paper
A Sequence Transformation Model for Chinese Named Entity Recognition
Chinese Named Entity Recognition (NER), as one of basic natural language processing tasks, is still a tough problem due to Chinese polysemy and complexity. In recent years, most of previous works regard NER as...
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Chapter and Conference Paper
Adversarial Reinforcement Learning for Chinese Text Summarization
This paper proposes a novel Adversarial Reinforcement Learning architecture for Chinese text summarization. Previous abstractive methods commonly use Maximum Likelihood Estimation (MLE) to optimize the generative...
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Chapter and Conference Paper
Inferring Social Network User’s Interest Based on Convolutional Neural Network
Learning microblog users’ interest has important significance for constructing more precise user profile, and can be useful for some commercial applications such as personalized advertisement, or potential cus...
