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Results for: Tian Shi

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Neural Abstractive Text Summarization with Sequence-to-Sequence Models
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Deep Reinforcement Learning For Sequence to Sequence Models
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Short-Text Topic Modeling via Non-negative Matrix Factorization Enriched with Local Word-Context Correlations
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LeafNATS: An Open-Source Toolkit and Live Demo System for Neural Abstractive Text Summarization
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Document-Level Multi-Aspect Sentiment Classification for Online Reviews of Medical Experts
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Text-to-SQL Generation for Question Answering on Electronic Medical Records
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Deep Reinforcement Learning for Sequence-to-Sequence Models
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Corpus-level and Concept-based Explanations for Interpretable Document Classification
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A Simple and Effective Self-Supervised Contrastive Learning Framework for Aspect Detection
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Deliberate Self-Attention Network with Uncertainty Estimation for Multi-Aspect Review Rating Prediction
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Attention-based Aspect Reasoning for Knowledge Base Question Answering on Clinical Notes
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A Novel Tensor-Based Temporal Multi-Task Survival Analysis Model
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Congratulations to Sanghani Center 2021 Summer and Fall Graduates , article
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Tian Shi , bio
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Tian Shi , bio