Open-domain question answering systems need to answer question of our interests with
structured and unstructured information. However, existing approaches only select one …

Recent years have witnessed increasing interest in developing interpretable models in
Natural Language Processing (NLP). Most existing models aim at identifying input features …

Abstract Different Open Information Extraction (OIE) tasks require different types of
information, so the OIE field requires strong adaptability of OIE algorithms to meet different …

Politicians' tweets can have important political and economic implications. However, limited
context makes it hard for readers to instantly and precisely understand them, especially from …

Text Classification has become a study hot spot because of its wide application in daily life.
Many methods are proposed for this task, such as those based on various neural network …

Translation distance based knowledge graph embedding (KGE) methods, such as TransE
and RotatE, model the relation in knowledge graphs as translation or rotation in the vector …

Entity relations and concepts are the most critical information in knowledge-based systems.
In traditional closed-domain knowledge bases (KBs), the entity relations and concepts are …