Lexicon information and pre-trained models, such as BERT, have been combined to explore
Chinese sequence labelling tasks due to their respective strengths. However, existing …

Syntactic information, especially dependency trees, has been widely used by existing
studies to improve relation extraction with better semantic guidance for analyzing the context …

Fake news is a topic that has been discussed for quite some time. Prior to the internet era, it
was mostly distributed through yellow journalism, with a focus on sensational news such as …

Relation extraction is an important task in information extraction and retrieval that aims to
extract relations among the given entities from running texts. To achieve a good …

Aspect-level sentiment analysis (ASA) has received much attention in recent years. Most
existing approaches tried to leverage syntactic information, such as the dependency parsing …

Pre-trained text encoders have drawn sustaining attention in natural language processing
(NLP) and shown their capability in obtaining promising results in different tasks. Recent …

For some named entities in the Chinese finance domain that are long, with difficult to
delineate boundaries and diverse forms of expression, we propose a method based on …

Most recent studies for relation extraction (RE) leverage the dependency tree of the input
sentence to incorporate syntax-driven contextual information to improve model performance …

Aspect-based sentiment analysis (ABSA) predicts the sentiment polarity towards a particular
aspect term in a sentence, which is an important task in real-world applications. To perform …

Arabic diacritization is a fundamental task for Arabic language processing. Previous studies
have demonstrated that automatically generated knowledge can be helpful to this task …