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

This paper focuses on extracting temporal and parent–child relationships between news
events in social news. Previous methods have proved that syntactic features are valid …

Abstract The tasks of Rich Semantic Parsing, such as Abstract Meaning Representation
(AMR), share similar goals with Information Extraction (IE) to convert natural language texts …

Relation Extraction (RE) is to predict the relation type of two entities that are mentioned in a
piece of text, eg, a sentence or a dialogue. When the given text is long, it is challenging to …

Advanced knowledge engineering (KE), represented by knowledge graph (KG), drives the
development of various fields and engineering technologies and provides various …

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 …

Relation extraction (RE) is an important natural language processing task that predicts the
relation between two given entities, where a good understanding of the contextual …

Medical Relation Extraction (MRE) task aims to extract relations between entities in medical
texts. Traditional relation extraction methods achieve impressive success by exploring the …

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 …

Dependency trees have been shown to be effective in capturing long-range relations
between target entities. Nevertheless, how to selectively emphasize target-relevant …