activity
20192021
most citedCREDIT: Coarse-to-Fine Sequence Generation for Dialogue State Tracking

11 citations · 27 across the 7 of their papers we have counts for

collaborators

13 papers

cs.CL2021

LET: Linguistic Knowledge Enhanced Graph Transformer for Chinese Short Text Matching

Boer Lyu, Lu Chen, Su Zhu +1

Chinese short text matching is a fundamental task in natural language processing. Existing approaches usually take Chinese characters or words as input tokens. They have two limita…

cs.CL202011 cited

CREDIT: Coarse-to-Fine Sequence Generation for Dialogue State Tracking

Zhi Chen, Lu Chen, Zihan Xu +3

In dialogue systems, a dialogue state tracker aims to accurately find a compact representation of the current dialogue status, based on the entire dialogue history. While previous…

cs.CL2020

Dual Learning for Dialogue State Tracking

Zhi Chen, Lu Chen, Yanbin Zhao +2

In task-oriented multi-turn dialogue systems, dialogue state refers to a compact representation of the user goal in the context of dialogue history. Dialogue state tracking (DST) i…

cs.CL202011 cited

Vector Projection Network for Few-shot Slot Tagging in Natural Language Understanding

Su Zhu, Ruisheng Cao, Lu Chen +1

Few-shot slot tagging becomes appealing for rapid domain transfer and adaptation, motivated by the tremendous development of conversational dialogue systems. In this paper, we prop…

cs.CL2020

Robust Spoken Language Understanding with RL-based Value Error Recovery

Chen Liu, Su Zhu, Lu Chen +1

Spoken Language Understanding (SLU) aims to extract structured semantic representations (e.g., slot-value pairs) from speech recognized texts, which suffers from errors of Automati…

cs.CL2020

Unsupervised Dual Paraphrasing for Two-stage Semantic Parsing

Ruisheng Cao, Su Zhu, Chenyu Yang +5

One daunting problem for semantic parsing is the scarcity of annotation. Aiming to reduce nontrivial human labor, we propose a two-stage semantic parsing framework, where the first…