118 citations · 179 across the 11 of their papers we have counts for
14 papers
Neural Topic Modeling with Deep Mutual Information Estimation
Kang Xu, Xiaoqiu Lu, Yuan-fang Li +5
The emerging neural topic models make topic modeling more easily adaptable and extendable in unsupervised text mining. However, the existing neural topic models is difficult to ret…
Conditional Generation Net for Medication Recommendation
Rui Wu, Zhaopeng Qiu, Jiacheng Jiang +2
Medication recommendation targets to provide a proper set of medicines according to patients' diagnoses, which is a critical task in clinics. Currently, the recommendation is manua…
Simple or Complex? Complexity-Controllable Question Generation with Soft Templates and Deep Mixture of Experts Model
Sheng Bi, Xiya Cheng, Yuan-Fang Li +5
The ability to generate natural-language questions with controlled complexity levels is highly desirable as it further expands the applicability of question generation. In this pap…
Leveraging Table Content for Zero-shot Text-to-SQL with Meta-Learning
Yongrui Chen, Xinnan Guo, Chaojie Wang +4
Single-table text-to-SQL aims to transform a natural language question into a SQL query according to one single table. Recent work has made promising progress on this task by pre-t…
Formal Query Building with Query Structure Prediction for Complex Question Answering over Knowledge Base
Yongrui Chen, Huiying Li, Yuncheng Hua +1
Formal query building is an important part of complex question answering over knowledge bases. It aims to build correct executable queries for questions. Recent methods try to rank…
Adaptive Knowledge-Enhanced Bayesian Meta-Learning for Few-shot Event Detection
Shirong Shen, Tongtong Wu, Guilin Qi +3
Event detection (ED) aims at detecting event trigger words in sentences and classifying them into specific event types. In real-world applications, ED typically does not have suffi…