Search Results for author: Ruisheng Cao

Found 18 papers, 12 papers with code

Hierarchical Multimodal Pre-training for Visually Rich Webpage Understanding

1 code implementation28 Feb 2024 Hongshen Xu, Lu Chen, Zihan Zhao, Da Ma, Ruisheng Cao, Zichen Zhu, Kai Yu

Additionally, we propose several pre-training tasks to model the interaction among text, structure, and image modalities effectively.

document understanding Information Retrieval +1

A BiRGAT Model for Multi-intent Spoken Language Understanding with Hierarchical Semantic Frames

1 code implementation28 Feb 2024 Hongshen Xu, Ruisheng Cao, Su Zhu, Sheng Jiang, Hanchong Zhang, Lu Chen, Kai Yu

Previous work on spoken language understanding (SLU) mainly focuses on single-intent settings, where each input utterance merely contains one user intent.

Graph Attention Spoken Language Understanding

ASTormer: An AST Structure-aware Transformer Decoder for Text-to-SQL

no code implementations28 Oct 2023 Ruisheng Cao, Hanchong Zhang, Hongshen Xu, Jieyu Li, Da Ma, Lu Chen, Kai Yu

Text-to-SQL aims to generate an executable SQL program given the user utterance and the corresponding database schema.

Text-To-SQL

ACT-SQL: In-Context Learning for Text-to-SQL with Automatically-Generated Chain-of-Thought

1 code implementation26 Oct 2023 Hanchong Zhang, Ruisheng Cao, Lu Chen, Hongshen Xu, Kai Yu

Recently Large Language Models (LLMs) have been proven to have strong abilities in various domains and tasks.

In-Context Learning Text-To-SQL

CSS: A Large-scale Cross-schema Chinese Text-to-SQL Medical Dataset

1 code implementation25 May 2023 Hanchong Zhang, Jieyu Li, Lu Chen, Ruisheng Cao, Yunyan Zhang, Yu Huang, Yefeng Zheng, Kai Yu

Furthermore, we present CSS, a large-scale CrosS-Schema Chinese text-to-SQL dataset, to carry on corresponding studies.

Benchmarking Text-To-SQL

Mobile-Env: An Evaluation Platform and Benchmark for LLM-GUI Interaction

1 code implementation14 May 2023 Danyang Zhang, Hongshen Xu, Zihan Zhao, Lu Chen, Ruisheng Cao, Kai Yu

A GUI task set based on WikiHow app is collected on Mobile-Env to form a benchmark covering a range of GUI interaction capabilities.

Language Modelling

On the Structural Generalization in Text-to-SQL

no code implementations12 Jan 2023 Jieyu Li, Lu Chen, Ruisheng Cao, Su Zhu, Hongshen Xu, Zhi Chen, Hanchong Zhang, Kai Yu

Exploring the generalization of a text-to-SQL parser is essential for a system to automatically adapt the real-world databases.

Text-To-SQL

Few-Shot NLU with Vector Projection Distance and Abstract Triangular CRF

no code implementations9 Dec 2021 Su Zhu, Lu Chen, Ruisheng Cao, Zhi Chen, Qingliang Miao, Kai Yu

In this paper, we propose to improve prototypical networks with vector projection distance and abstract triangular Conditional Random Field (CRF) for the few-shot NLU.

intent-classification Intent Classification +5

ShadowGNN: Graph Projection Neural Network for Text-to-SQL Parser

no code implementations NAACL 2021 Zhi Chen, Lu Chen, Yanbin Zhao, Ruisheng Cao, Zihan Xu, Su Zhu, Kai Yu

Given a database schema, Text-to-SQL aims to translate a natural language question into the corresponding SQL query.

Semantic Parsing Text-To-SQL

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

1 code implementation21 Sep 2020 Su Zhu, Ruisheng Cao, Lu Chen, Kai Yu

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

Few-Shot Learning Natural Language Understanding +2

Jointly Encoding Word Confusion Network and Dialogue Context with BERT for Spoken Language Understanding

1 code implementation24 May 2020 Chen Liu, Su Zhu, Zijian Zhao, Ruisheng Cao, Lu Chen, Kai Yu

In this paper, a novel BERT based SLU model (WCN-BERT SLU) is proposed to encode WCNs and the dialogue context jointly.

Spoken Language Understanding

Dual Learning for Semi-Supervised Natural Language Understanding

2 code implementations26 Apr 2020 Su Zhu, Ruisheng Cao, Kai Yu

The framework is composed of dual pseudo-labeling and dual learning method, which enables an NLU model to make full use of data (labeled and unlabeled) through a closed-loop of the primal and dual tasks.

Natural Language Understanding Sentence

Cannot find the paper you are looking for? You can Submit a new open access paper.