Relations extraction is a widely researched topic in nature language processing. However,
most of the work in the literature concentrate on the methods that are dealing with single …

Relation extraction is a vital task in natural language processing. It aims to identify the
relationship between two specified entities in a sentence. Besides information contained in …

Entity relation extraction aims to identify the semantic relation between entity pairs in a
sentence and is an important technical support for downstream tasks such as question …

Relation extraction is a key task in Natural Language Processing (NLP), which aims to
extract relations between entity pairs from given texts. Recently, relation extraction (RE) has …

Relation extraction aims to identify the relation between two entities. Early works on relation
extraction are performed within a sentence. Numerous entity pairs with relations are …

Recent work for extracting relations from texts has achieved excellent performance.
However, existing studies mainly focus on simple relation extraction, and these methods …

Joint extraction of entities and overlapping relations has attracted considerable attention in
recent research. Existing relation extraction methods rely on a training set that is labeled by …

In recent years, overlapping entity relation extraction has received a great deal of attention
and has made good progress in English. However, the research on overlapping entity …

Previous work for relation extraction from free text is mainly based on intra-sentence
information. As relations might be mentioned across sentences, inter-sentence information …

Capturing semantics and structure surrounding the target entity pair is crucial for relation
extraction. The task is challenging due to the limited semantic elements and structural …