Yi Huang

Research on Construction and Application of TCM Knowledge Graph Based on Ancient Chinese Texts

2019

At present, the “document-centered” literature retrieval and information acquisition methods can no longer meet the demand, and instead are “knowledge-centric” structured, networked and intelligent knowledge services. In order to more effectively analyze the connection between …

Time-Guided High-Order Attention Model of Longitudinal Heterogeneous Healthcare Data

2019 · arXiv (Cornell University)

Due to potential applications in chronic disease management and personalized healthcare, the EHRs data analysis has attracted much attention of both researchers and practitioners. There are three main challenges in modeling longitudinal and heterogeneous EHRs …

Relevance of Polarity for the Online Interpretation of Scalar Terms

2015 · Proceedings from Semantics and Linguistic Theory

No abstract.

Advancing Semi-Supervised Task Oriented Dialog Systems by JSA Learning of Discrete Latent Variable Models

2022 · arXiv (Cornell University)

Developing semi-supervised task-oriented dialog (TOD) systems by leveraging unlabeled dialog data has attracted increasing interests. For semi-supervised learning of latent state TOD models, variational learning is often used, but suffers from the annoying high-variance of …

Jointly Reinforced User Simulator and Task-oriented Dialog System with Simplified Generative Architecture

2022 · arXiv (Cornell University)

Recently, there has been progress in supervised funetuning pretrained GPT-2 to build end-to-end task-oriented dialog (TOD) systems. However, online reinforcement learning of a GPT-2 based dialog system (DS), together with a end-to-end user simulator (US), …

A Generative User Simulator with GPT-based Architecture and Goal State Tracking for Reinforced Multi-Domain Dialog Systems

2022 · arXiv (Cornell University)

Building user simulators (USs) for reinforcement learning (RL) of task-oriented dialog systems (DSs) has gained more and more attention, which, however, still faces several fundamental challenges. First, it is unclear whether we can leverage pretrained …

Predicting the Emerging Trends of Transfusion Medicine using Complex Network Analysis of High-Impact Scholars’ Research Directions (Preprint)

2024

<sec> <title>BACKGROUND</title> Scholars were selected based on specific criteria, and their affiliations, research directions, and contents were standardized to construct the knowledge network. </sec> <sec> <title>OBJECTIVE</title> This study conducts a comprehensive analysis of knowledge networks …

Harnessing Diverse Perspectives: A Multi-Agent Framework for Enhanced Error Detection in Knowledge Graphs

2025 · arXiv (Cornell University)

Knowledge graphs are widely used in industrial applications, making error detection crucial for ensuring the reliability of downstream applications. Existing error detection methods often fail to effectively utilize fine-grained subgraph information and rely solely on …

Entriever: Energy-based Retriever for Knowledge-Grounded Dialog Systems

2025

A retriever, which retrieves relevant knowledge pieces from a knowledge base given a context, is an important component in many natural language processing (NLP) tasks.Retrievers have been introduced in knowledge-grounded dialog systems to improve knowledge …