Entity linking refers to the task of aligning mentions of entities in the text to their
corresponding entries in a specific knowledge base, which is of great significance for many …

Text-to-SQL emerges to play an important role in interactive data analysis, which provides a
friendly interface for converting natural language into relational database language (ie …

The context of a sentence is composed of a limited number of words. This leads to the
feature sparsity problem whereby the sentence's meaning is easily influenced by language …

Entity linking is a central concern of automatic knowledge question answering and
knowledge base population. Traditional collective entity linking approaches only consider …

Automatically parsing SQL queries from natural languages can help non-professionals
access databases and improve the efficiency of information utilization. It is a long-term …

As unique identifiers of objects and basic components of knowledge graphs, entities are
crucial to many natural language processing related works, such as entity linking and …

Applying knowledge representation and reasoning to downstream tasks has been
considered a promising research direction, as it enables semantic analysis of network …

Pre-trained models such as BERT are widely used in NLP tasks and are fine-tuned to
improve the performance of various NLP tasks consistently. Nevertheless, the fine-tuned …