107 citations · 122 across the 6 of their papers we have counts for
6 papers
Event Detection Explorer: An Interactive Tool for Event Detection Exploration
Wenlong Zhang, Bhagyashree Ingale, Hamza Shabir +3
Event Detection (ED) is an important task in natural language processing. In the past few years, many datasets have been introduced for advancing ED machine learning models. Howeve…
An Interpretable and Uncertainty Aware Multi-Task Framework for Multi-Aspect Sentiment Analysis
Tian Shi, Ping Wang, Chandan K. Reddy
In recent years, several online platforms have seen a rapid increase in the number of review systems that request users to provide aspect-level feedback. Document-level Multi-aspec…
A Simple and Effective Self-Supervised Contrastive Learning Framework for Aspect Detection
Tian Shi, Liuqing Li, Ping Wang +1
Unsupervised aspect detection (UAD) aims at automatically extracting interpretable aspects and identifying aspect-specific segments (such as sentences) from online reviews. However…
Corpus-level and Concept-based Explanations for Interpretable Document Classification
Tian Shi, Xuchao Zhang, Ping Wang +1
Using attention weights to identify information that is important for models' decision-making is a popular approach to interpret attention-based neural networks. This is commonly r…
Text-to-SQL Generation for Question Answering on Electronic Medical Records
Ping Wang, Tian Shi, Chandan K. Reddy
Electronic medical records (EMR) contain comprehensive patient information and are typically stored in a relational database with multiple tables. Effective and efficient patient i…
Machine Learning for Survival Analysis: A Survey
Ping Wang, Yan Li, Chandan K. Reddy
Accurately predicting the time of occurrence of an event of interest is a critical problem in longitudinal data analysis. One of the main challenges in this context is the presence…