Joint entity and relation extraction is an essential task in natural language processing and
knowledge graph construction. Existing approaches usually decompose the joint extraction …

实体关系抽取能够从文本中提取事实知识, 是自然语言处理领域中重要的任务.
传统关系抽取更加关注于单实体对的关系, 但是句子内包含不止一对实体且实体间存在重叠现象 …

Joint relational triple extraction from unstructured text is an important task in information
extraction. However, most existing works either ignore the semantic information of relations …

Jointly extracting entities and their relations from texts is an important task in information
extraction. Despite the great success, traditional models suffer from two problems. First, the …

Relational triple extraction is a crucial task in the field of information extraction, which
attempts to identify all triples from natural language text. Existing methods primarily focus on …

Joint entity and relation extraction has been a core task in the field of information extraction.
Recent approaches usually consider the extraction of relational triples from a stereoscopic …

Multi-head selection is a reasonable way of extracting relational facts. Though effective, it
ignores the interdependencies of relations and disregards the contextual information. In this …

In recent years, scholars have paid increasing attention to the joint entity and relation
extraction. However, the most difficult aspect of joint extraction is extracting overlapping …

Zero-shot relation triplet extraction (ZeroRTE) aims to extract relation triplets from
unstructured texts under the zero-shot setting, where the relation sets at the training and …

Assembly is an essential stage in industrial electronic equipment manufacturing and needs
to meet the complexity of manufacturing. Therefore, the assembly process planning for …