most citedDynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic Parsing

11 citations · 33 across the 8 of their papers we have counts for

collaborators

9 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.CL20221 cited

Estimating Soft Labels for Out-of-Domain Intent Detection

Hao Lang, Yinhe Zheng, Jian Sun +3

Out-of-Domain (OOD) intent detection is important for practical dialog systems. To alleviate the issue of lacking OOD training samples, some works propose synthesizing pseudo OOD s…

cs.CL20226 cited

SPACE-3: Unified Dialog Model Pre-training for Task-Oriented Dialog Understanding and Generation

Wanwei He, Yinpei Dai, Min Yang +4

Recently, pre-training methods have shown remarkable success in task-oriented dialog (TOD) systems. However, most existing pre-trained models for TOD focus on either dialog underst…

cs.CL20222 cited

SSQL: Injecting Syntax to Question-Schema Interaction Graph Encoder for Text-to-SQL Parsers

Binyuan Hui, Ruiying Geng, Lihan Wang +4

The task of converting a natural language question into an executable SQL query, known as text-to-SQL, is an important branch of semantic parsing. The state-of-the-art graph-based…

cs.CL20218 cited

Path-Enhanced Multi-Relational Question Answering with Knowledge Graph Embeddings

Guanglin Niu, Yang Li, Chengguang Tang +6

The multi-relational Knowledge Base Question Answering (KBQA) system performs multi-hop reasoning over the knowledge graph (KG) to achieve the answer. Recent approaches attempt to…

cs.CL20211 cited

DialogueCSE: Dialogue-based Contrastive Learning of Sentence Embeddings

Che Liu, Rui Wang, Jinghua Liu +3

Learning sentence embeddings from dialogues has drawn increasing attention due to its low annotation cost and high domain adaptability. Conventional approaches employ the siamese-n…