Despite their competitive performance on knowledge-intensive tasks, larg...
High-quality instruction-tuning data is critical to improving LLM
capabi...
Inconsistency handling is an important issue in knowledge management.
Es...
Large-scale pre-trained language models (PLMs) such as BERT have recentl...
ChatGPT is a powerful large language model (LLM) that has made remarkabl...
Relation extraction typically aims to extract semantic relationships bet...
Medication recommendation targets to provide a proper set of medicines
a...
Event extraction (EE) plays an important role in many industrial applica...
Query graph building aims to build correct executable SPARQL over the
kn...
The ability to generate natural-language questions with controlled compl...
Single-table text-to-SQL aims to transform a natural language question i...
Formal query building is an important part of complex question answering...
Event detection (ED) aims at detecting event trigger words in sentences ...
This paper introduces a natural language understanding (NLU) framework f...
Continual relation extraction is an important task that focuses on extra...
Question answering is an effective method for obtaining information from...
Complex question-answering (CQA) involves answering complex natural-lang...
A compelling approach to complex question answering is to convert the
qu...
Question generation over knowledge bases (KBQG) aims at generating
natur...
Automatic charge prediction task aims to determine the final charges bas...
Based on Semantic Web technologies, knowledge graphs help users to disco...
Knowledge graph models world knowledge as concepts, entities, and the
re...
DL-Lite is an important family of description logics. Recently, there is...
In this paper, we propose a revision-based approach for conflict resolut...
Belief merging is an important but difficult problem in Artificial
Intel...