Xi Yang

Extracting Family History of Patients From Clinical Narratives: Exploring an End-to-End Solution With Deep Learning Models

2020 · JMIR Medical Informatics

BACKGROUND: Patients' family history (FH) is a critical risk factor associated with numerous diseases. However, FH information is not well captured in the structured database but often documented in clinical narratives. Natural language processing (NLP) …

Designing Conversational Agents: A Self-Determination Theory Approach

2021

Bringing positive experiences to users is one of the key goals when designing conversational agents (CAs). Yet we still lack an understanding of users’ underlying needs to achieve positive experiences and how to support them …

Keyword extraction method of text combining random walk and variational inference

2021 · 2021 2nd International Conference on Artificial Intelligence and Computer Engineering (ICAICE)

Keyword extraction is an important way to explore text semantic information. It is mainly composed of topic model and parameter estimation algorithm. Firstly, the mapping relationship between topic space and text space is constructed by …

OAcode: Overall Aesthetic 2D Barcode on Screen

2023 · IEEE Transactions on Multimedia

Nowadays, two-dimensional (2D) barcodes have been widely used in various domains. And a series of aesthetic 2D barcode schemes have been proposed to improve the visual quality and readability of 2D barcodes for better integration …

Span extraction and contrastive learning for coreference resolution

2022

Coreference resolution is a primary task in natural language processing (NLP), designed to automatically identifyand classify noun phrases or pronouns that represent thesame mention. Most of the recent coreference resolution models extraction or cluster mentions. …

Clinical concept and relation extraction using prompt-based machine reading comprehension

2023 · Journal of the American Medical Informatics Association

OBJECTIVE: To develop a natural language processing system that solves both clinical concept extraction and relation extraction in a unified prompt-based machine reading comprehension (MRC) architecture with good generalizability for cross-institution applications. METHODS: We formulate …

Explore Unsupervised Structures in Pretrained Models for Relation Extraction

2022

Syntactic trees have been widely applied in relation extraction (RE). However, since parsing qualities are not stable on different text domains and a pre-defined grammar may not well fit the target relation schema, the introduction …

Sequential Least-Squares Estimators with Fast Randomized Sketching for Linear Statistical Models

2025 · arXiv (Cornell University)

We propose a novel randomized framework for the estimation problem of large-scale linear statistical models, namely Sequential Least-Squares Estimators with Fast Randomized Sketching (SLSE-FRS), which integrates Sketch-and-Solve and Iterative-Sketching methods for the first time. By …

A large language model for electronic health records

2022 · npj Digital Medicine

There is an increasing interest in developing artificial intelligence (AI) systems to process and interpret electronic health records (EHRs). Natural language processing (NLP) powered by pretrained language models is the key technology for medical AI …