research
∙
06/14/2023
T5-SR: A Unified Seq-to-Seq Decoding Strategy for Semantic Parsing
Translating natural language queries into SQLs in a seq2seq manner has a...
share
research
∙
10/16/2022
Improving Semantic Matching through Dependency-Enhanced Pre-trained Model with Adaptive Fusion
Transformer-based pre-trained models like BERT have achieved great progr...
research
∙
10/07/2022
DABERT: Dual Attention Enhanced BERT for Semantic Matching
Transformer-based pre-trained language models such as BERT have achieved...
research
∙
09/09/2022
PetLock:A Genderless and Standard Interface for the Future On-orbit Construction
Modular design is the foundation of on orbit construction technology of ...
research
∙
09/06/2022
A Combined Inverse Kinematics Algorithm Using FABRIK with Optimization
Forward and backward reaching inverse kinematics (FABRIK) is a heuristic...
research
∙
08/31/2022
Let Me Check the Examples: Enhancing Demonstration Learning via Explicit Imitation
Demonstration learning aims to guide the prompt prediction via providing...
research
∙
12/16/2021
Pay More Attention to History: A Context Modeling Strategy for Conversational Text-to-SQL
Conversational text-to-SQL aims at converting multi-turn natural languag...
research
∙
11/19/2021
Small Changes Make Big Differences: Improving Multi-turn Response Selection in Dialogue Systems via Fine-Grained Contrastive Learning
Retrieve-based dialogue response selection aims to find a proper respons...
research
∙
11/09/2020
"What Do You Mean by That?" A Parser-Independent Interactive Approach for Enhancing Text-to-SQL
In Natural Language Interfaces to Databases systems, the text-to-SQL tec...
research
∙
10/28/2020
DisenE: Disentangling Knowledge Graph Embeddings
Knowledge graph embedding (KGE), aiming to embed entities and relations ...
research
∙
12/11/2017
Investigating the Impact of Data Volume and Domain Similarity on Transfer Learning Applications
Transfer Learning helps to build a system to recognize and apply knowled...
research
∙
12/11/2017