activity
20202022
most citedGALAXY: A Generative Pre-trained Model for Task-Oriented Dialog with Semi-Supervised Learning and Explicit Policy Injection

44 citations · 64 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CL2022

CGoDial: A Large-Scale Benchmark for Chinese Goal-oriented Dialog Evaluation

Yinpei Dai, Wanwei He, Bowen Li +5

Practical dialog systems need to deal with various knowledge sources, noisy user expressions, and the shortage of annotated data. To better solve the above problems, we propose CGo…

cs.CL2022★ 1 cited

STAR: SQL Guided Pre-Training for Context-dependent Text-to-SQL Parsing

Zefeng Cai, Xiangyu Li, Binyuan Hui +8

In this paper, we propose a novel SQL guided pre-training framework STAR for context-dependent text-to-SQL parsing, which leverages contextual information to enrich natural languag…

cs.CL2022★ 14 cited

SPACE-2: Tree-Structured Semi-Supervised Contrastive Pre-training for Task-Oriented Dialog Understanding

Wanwei He, Yinpei Dai, Binyuan Hui +6

Pre-training methods with contrastive learning objectives have shown remarkable success in dialog understanding tasks. However, current contrastive learning solely considers the se…

cs.CL2021★ 1 cited

Achieving Human Parity on Visual Question Answering

Ming Yan, Haiyang Xu, Chenliang Li +14

The Visual Question Answering (VQA) task utilizes both visual image and language analysis to answer a textual question with respect to an image. It has been a popular research topi…

cs.CL2021★ 44 cited

GALAXY: A Generative Pre-trained Model for Task-Oriented Dialog with Semi-Supervised Learning and Explicit Policy Injection

Wanwei He, Yinpei Dai, Yinhe Zheng +9

Pre-trained models have proved to be powerful in enhancing task-oriented dialog systems. However, current pre-training methods mainly focus on enhancing dialog understanding and ge…

cs.CL2021★ 1 cited

Linking-Enhanced Pre-Training for Table Semantic Parsing

Bowen Qin, Lihan Wang, Binyuan Hui +5

Recently pre-training models have significantly improved the performance of various NLP tasks by leveraging large-scale text corpora to improve the contextual representation abilit…

cs.CL2020★ 3 cited

Keyword-Attentive Deep Semantic Matching

Changyu Miao, Zhen Cao, Yik-Cheung Tam

Deep Semantic Matching is a crucial component in various natural language processing applications such as question and answering (QA), where an input query is compared to each cand…