68 citations · 93 across the 9 of their papers we have counts for
10 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…
Attention-based Aspect Reasoning for Knowledge Base Question Answering on Clinical Notes
Ping Wang, Tian Shi, Khushbu Agarwal +2
Question Answering (QA) in clinical notes has gained a lot of attention in the past few years. Existing machine reading comprehension approaches in clinical domain can only handle…
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…
Strong Convergence Theorems by Generalized CQ Method in Hilbert Spaces
Songnian He, Tian Shi
Recently, CQ method has been investigated extensively. However, it is mainly applied to modify Mann, Ishikawa and Halpern iterations to get strong convergence. In this paper, we st…
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…
LeafNATS: An Open-Source Toolkit and Live Demo System for Neural Abstractive Text Summarization
Tian Shi, Ping Wang, Chandan K. Reddy
Neural abstractive text summarization (NATS) has received a lot of attention in the past few years from both industry and academia. In this paper, we introduce an open-source toolk…
Neural Abstractive Text Summarization with Sequence-to-Sequence Models
Tian Shi, Yaser Keneshloo, Naren Ramakrishnan +1
In the past few years, neural abstractive text summarization with sequence-to-sequence (seq2seq) models have gained a lot of popularity. Many interesting techniques have been propo…
Deep Reinforcement Learning For Sequence to Sequence Models
Yaser Keneshloo, Tian Shi, Naren Ramakrishnan +1
In recent times, sequence-to-sequence (seq2seq) models have gained a lot of popularity and provide state-of-the-art performance in a wide variety of tasks such as machine translati…