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Yuan Luo
Researcher at Northwestern University
Publications - 199
Citations - 6110
Yuan Luo is an academic researcher from Northwestern University. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 26, co-authored 160 publications receiving 3439 citations. Previous affiliations of Yuan Luo include University at Albany, SUNY & University of Kentucky.
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Graph Convolutional Networks for Text Classification
TL;DR: Zhang et al. as discussed by the authors proposed a Text Graph Convolutional Network (Text GCN) for text classification, which jointly learns the embeddings for both words and documents, as supervised by the known class labels for documents.
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Evaluating the State-of-the-Art in Automatic De-identification
TL;DR: An overview of this de-identification challenge is provided, the data and the annotation process are described, the evaluation metrics are explained, the nature of the systems that addressed the challenge are discussed, the results of received system runs are analyzed, and directions for future research are identified.
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Identifying Patient Smoking Status from Medical Discharge Records
TL;DR: A Natural Language Processing (NLP) challenge on automatically determining the smoking status of patients from information found in their discharge records and analysis of the results highlighted the fact that discharge summaries express smoking status using a limited number of textual features.
Posted Content
Graph Convolutional Networks for Text Classification
TL;DR: Zhang et al. as mentioned in this paper proposed a Text Graph Convolutional Network (Text GCN) for text classification, which jointly learns the embeddings for both words and documents, as supervised by the known class labels for documents.
Posted Content
KG-BERT: Bert for knowledge graph completion
TL;DR: This work treats triples in knowledge graphs as textual sequences and proposes a novel framework named Knowledge Graph Bidirectional Encoder Representations from Transformer (KG-BERT) to model these triples.