Dialogue State Tracking On Cosql

Métriques

interaction match accuracy

question match accuracy

Résultats

Résultats de performance de divers modèles sur ce benchmark

			Paper Title
RASAT+PICARD	26.5	55.7	RASAT: Integrating Relational Structures into Pretrained Seq2Seq Model for Text-to-SQL
HIE-SQL + GraPPa	24.6	53.9	HIE-SQL: History Information Enhanced Network for Context-Dependent Text-to-SQL Semantic Parsing
T5-3B + PICARD	23.7	54.6	PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models
RAT-SQL + SCoRe	21.2	51.6	SCoRe: Pre-Training for Context Representation in Conversational Semantic Parsing
R²SQL + BERT	17.0	46.8	Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic Parsing
Edit-SQL+BERT	13.7	40.8	Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions
GAZP+BERT	12.8	39.7	Grounded Adaptation for Zero-shot Executable Semantic Parsing
CD-Seq2seq	2.6	13.9	CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases
SyntaxSQL-con	2.2	14.1	CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases

0 of 9 row(s) selected.

Dialogue State Tracking On Cosql | SOTA | HyperAI