Objective External knowledge, such as lexicon of words in Chinese and domain knowledge
graph (KG) of concepts, has been recently adopted to improve the performance of machine …

Recent approaches in domain-specific named entity recognition (NER), such as biomedical
NER, have shown remarkable advances. However, they still lack of faithfulness, producing …

Structured cyber threat intelligence enables security researchers to know the occurrence of
cyber threats in time, thereby improving the efficiency of security defense and analysis …

Background: Biomedical named entity recognition is one of the important tasks of biomedical
literature mining. With the development of natural language processing technology, many …

Semantic parsing (SP) allows humans to leverage vast knowledge resources through
natural interaction. However, parsers are mostly designed for and evaluated on English …

Span identification aims at identifying specific text spans from text input and classifying them
into pre-defined categories. Different from previous works that merely leverage the …

Abstract Deep Attention Neural Networks have revolutionized the way we approach complex
learning tasks such as Sentiment Analysis. However, existing methods mainly focus on …

In this paper, we introduce the necessary technologies to use the Korean traditional cultural
heritage in immersive content by applying artificial intelligence technology. In fact, the data …

In task-oriented dialogue scenarios, cross-domain zero-shot slot filling plays a vital role in
leveraging source domain knowledge to learn a model with high generalization ability in …

Information Extraction (IE) seeks to derive structured information from unstructured texts,
often facing challenges in low-resource scenarios due to data scarcity and unseen classes …