Search Results for author: Xueping Peng

Found 8 papers, 5 papers with code

Word Sense Disambiguation with Knowledge-Enhanced and Local Self-Attention-based Extractive Sense Comprehension

no code implementations COLING 2022 Guobiao Zhang, Wenpeng Lu, Xueping Peng, Shoujin Wang, Baoshuo Kan, Rui Yu

Word sense disambiguation (WSD), identifying the most suitable meaning of ambiguous words in the given contexts according to a predefined sense inventory, is one of the most classical and challenging tasks in natural language processing.

Word Sense Disambiguation

A Systematical Evaluation for Next-Basket Recommendation Algorithms

no code implementations7 Sep 2022 Zhufeng Shao, Shoujin Wang, Qian Zhang, Wenpeng Lu, Zhao Li, Xueping Peng

Different studies often evaluate NBR approaches on different datasets, under different experimental settings, making it hard to fairly and effectively compare the performance of different NBR approaches.

Next-basket recommendation Recommendation Systems

Aspect-driven User Preference and News Representation Learning for News Recommendation

no code implementations12 Oct 2021 Rongyao Wang, Wenpeng Lu, Shoujin Wang, Xueping Peng, Hao Wu, Qian Zhang

News recommender systems are essential for helping users to efficiently and effectively find out those interesting news from a large amount of news.

News Recommendation Recommendation Systems +1

Sequential Diagnosis Prediction with Transformer and Ontological Representation

1 code implementation7 Sep 2021 Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Jing Jiang

Sequential diagnosis prediction on the Electronic Health Record (EHR) has been proven crucial for predictive analytics in the medical domain.

Sequential Diagnosis

MIPO: Mutual Integration of Patient Journey and Medical Ontology for Healthcare Representation Learning

1 code implementation20 Jul 2021 Xueping Peng, Guodong Long, Sen Wang, Jing Jiang, Allison Clarke, Clement Schlegel, Chengqi Zhang

Hence, some recent works train healthcare representations by incorporating medical ontology, by self-supervised tasks like diagnosis prediction, but (1) the small-scale, monotonous ontology is insufficient for robust learning, and (2) critical contexts or dependencies underlying patient journeys are barely exploited to enhance ontology learning.

Graph Embedding

BiteNet: Bidirectional Temporal Encoder Network to Predict Medical Outcomes

1 code implementation24 Sep 2020 Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Jing Jiang, Chengqi Zhang

Electronic health records (EHRs) are longitudinal records of a patient's interactions with healthcare systems.

Self-Attention Enhanced Patient Journey Understanding in Healthcare System

1 code implementation15 Jun 2020 Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Jing Jiang

The key challenge of patient journey understanding is to design an effective encoding mechanism which can properly tackle the aforementioned multi-level structured patient journey data with temporal sequential visits and a set of medical codes.

Temporal Self-Attention Network for Medical Concept Embedding

1 code implementation15 Sep 2019 Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Jing Jiang, Michael Blumenstein

In this paper, we propose a medical concept embedding method based on applying a self-attention mechanism to represent each medical concept.

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