activity
20182021
most citedDocument Modeling with Graph Attention Networks for Multi-grained Machine Reading Comprehension

6 citations · 6 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CL2021

VAULT: VAriable Unified Long Text Representation for Machine Reading Comprehension

Haoyang Wen, Anthony Ferritto, Heng Ji +2

Existing models on Machine Reading Comprehension (MRC) require complex model architecture for effectively modeling long texts with paragraph representation and classification, ther…

cs.CL20206 cited

Document Modeling with Graph Attention Networks for Multi-grained Machine Reading Comprehension

Bo Zheng, Haoyang Wen, Yaobo Liang +5

Natural Questions is a new challenging machine reading comprehension benchmark with two-grained answers, which are a long answer (typically a paragraph) and a short answer (one or…

cs.CL2019

Entity-Consistent End-to-end Task-Oriented Dialogue System with KB Retriever

Libo Qin, Yijia Liu, Wanxiang Che +3

Querying the knowledge base (KB) has long been a challenge in the end-to-end task-oriented dialogue system. Previous sequence-to-sequence (Seq2Seq) dialogue generation work treats…

cs.CL2019

A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding

Libo Qin, Wanxiang Che, Yangming Li +2

Intent detection and slot filling are two main tasks for building a spoken language understanding (SLU) system. The two tasks are closely tied and the slots often highly depend on…

cs.CL2018

Sequence-to-Sequence Learning for Task-oriented Dialogue with Dialogue State Representation

Haoyang Wen, Yijia Liu, Wanxiang Che +2

Classic pipeline models for task-oriented dialogue system require explicit modeling the dialogue states and hand-crafted action spaces to query a domain-specific knowledge base. Co…