Large language models (LLMs) have demonstrated impressive capabilities i...
This thesis explores challenges in semantic parsing, specifically focusi...
Textual scene graph parsing has become increasingly important in various...
Multilingual semantic parsing aims to leverage the knowledge from the
hi...
Nowadays, voice assistants help users complete tasks on the smartphone w...
Dialogue systems have been widely applied in many scenarios and are now ...
Current multilingual semantic parsing (MSP) datasets are almost all coll...
Semantic parsing is a technique aimed at constructing a structured
repre...
Negotiation is one of the crucial abilities in human communication, and ...
The goal of ACM MMSports2022 DeepSportRadar Instance Segmentation Challe...
The goal of AVA challenge is to provide vision-based benchmarks and meth...
The referring video object segmentation task (RVOS) aims to segment obje...
The hazard and operability analysis (HAZOP) report contains precious
ind...
There has been an increasing interest in incorporating Artificial
Intell...
In this paper, we propose a variational autoencoder with disentanglement...
This paper investigates continual learning for semantic parsing. In this...
Most of the achievements in artificial intelligence so far were accompli...
Semantic parsing maps natural language (NL) utterances into logical form...
In this work, we investigate the problems of semantic parsing in a few-s...
Semantic parsing is the task of translating natural language utterances ...
In recent years, correntropy has been seccessfully applied to robust ada...