5 citations · 11 across the 5 of their papers we have counts for
5 papers
A Robust Semantic Frame Parsing Pipeline on a New Complex Twitter Dataset
Yu Wang, Hongxia Jin
Most recent semantic frame parsing systems for spoken language understanding (SLU) are designed based on recurrent neural networks. These systems display decent performance on benc…
An Adversarial Learning based Multi-Step Spoken Language Understanding System through Human-Computer Interaction
Yu Wang, Yilin Shen, Hongxia Jin
Most of the existing spoken language understanding systems can perform only semantic frame parsing based on a single-round user query. They cannot take users' feedback to update/ad…
A Coarse to Fine Question Answering System based on Reinforcement Learning
Yu Wang, Hongxia Jin
In this paper, we present a coarse to fine question answering (CFQA) system based on reinforcement learning which can efficiently processes documents with different lengths by choo…
Entity Context Graph: Learning Entity Representations fromSemi-Structured Textual Sources on the Web
Kalpa Gunaratna, Yu Wang, Hongxia Jin
Knowledge is captured in the form of entities and their relationships and stored in knowledge graphs. Knowledge graphs enhance the capabilities of applications in many different ar…
A Complex KBQA System using Multiple Reasoning Paths
Kechen Qin, Yu Wang, Cheng Li +4
Multi-hop knowledge based question answering (KBQA) is a complex task for natural language understanding. Many KBQA approaches have been proposed in recent years, and most of them…