activity
20122023
most citedComparing Clinical Judgment with MySurgeryRisk Algorithm for Preoperative Risk Assessment: A Pilot Study

135 citations · 301 across the 21 of their papers we have counts for

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Showing 2022Show all

6 papers · 1 filter

cs.DB2022

Query-Driven Knowledge Base Completion using Multimodal Path Fusion over Multimodal Knowledge Graph

Yang Peng, Daisy Zhe Wang

Over the past few years, large knowledge bases have been constructed to store massive amounts of knowledge. However, these knowledge bases are highly incomplete, for example, over…

cs.AI2022

Knowledge Base Completion using Web-Based Question Answering and Multimodal Fusion

Yang Peng, Daisy Zhe Wang

Over the past few years, large knowledge bases have been constructed to store massive amounts of knowledge. However, these knowledge bases are highly incomplete. To solve this prob…

cs.AI2022★ 1 cited

DrugEHRQA: A Question Answering Dataset on Structured and Unstructured Electronic Health Records For Medicine Related Queries

Jayetri Bardhan, Anthony Colas, Kirk Roberts +1

This paper develops the first question answering dataset (DrugEHRQA) containing question-answer pairs from both structured tables and unstructured notes from a publicly available E…

cs.IR2022★ 2 cited

LIDER: An Efficient High-dimensional Learned Index for Large-scale Dense Passage Retrieval

Yifan Wang, Haodi Ma, Daisy Zhe Wang

Many recent approaches of passage retrieval are using dense embeddings generated from deep neural models, called "dense passage retrieval". The state-of-the-art end-to-end dense pa…

cs.DB2022

Extensible Database Simulator for Fast Prototyping In-Database Algorithms

Yifan Wang, Daisy Zhe Wang

With the rapid increasing of data scale, in-database analytics and learning has become one of the most studied topics in data science community, because of its significance on redu…

cs.CL2022★ 8 cited

GAP: A Graph-aware Language Model Framework for Knowledge Graph-to-Text Generation

Anthony Colas, Mehrdad Alvandipour, Daisy Zhe Wang

Recent improvements in KG-to-text generation are due to additional auxiliary pre-training tasks designed to give the fine-tune task a boost in performance. These tasks require exte…