most citedLearning to Retrieve Entity-Aware Knowledge and Generate Responses with Copy Mechanism for Task-Oriented Dialogue Systems

4 citations · 7 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL2021

Exploring Decomposition for Table-based Fact Verification

Xiaoyu Yang, Xiaodan Zhu

Fact verification based on structured data is challenging as it requires models to understand both natural language and symbolic operations performed over tables. Although pre-trai…

cs.CL20212 cited

SemEval-2021 Task 4: Reading Comprehension of Abstract Meaning

Boyuan Zheng, Xiaoyu Yang, Yu-Ping Ruan +4

This paper introduces the SemEval-2021 shared task 4: Reading Comprehension of Abstract Meaning (ReCAM). This shared task is designed to help evaluate the ability of machines in re…

cs.CL20204 cited

Learning to Retrieve Entity-Aware Knowledge and Generate Responses with Copy Mechanism for Task-Oriented Dialogue Systems

Chao-Hong Tan, Xiaoyu Yang, Zi'ou Zheng +7

Task-oriented conversational modeling with unstructured knowledge access, as track 1 of the 9th Dialogue System Technology Challenges (DSTC 9), requests to build a system to genera…

cs.AI2020

Program Enhanced Fact Verification with Verbalization and Graph Attention Network

Xiaoyu Yang, Feng Nie, Yufei Feng +3

Performing fact verification based on structured data is important for many real-life applications and is a challenging research problem, particularly when it involves both symboli…

cs.CL20201 cited

SemEval-2020 Task 5: Counterfactual Recognition

Xiaoyu Yang, Stephen Obadinma, Huasha Zhao +3

We present a counterfactual recognition (CR) task, the shared Task 5 of SemEval-2020. Counterfactuals describe potential outcomes (consequents) produced by actions or circumstances…