Knowledge base question answering (KBQA) aims to answer a question over a knowledge
base (KB). Recently, a large number of studies focus on semantically or syntactically …

Multi-hop Question Answering (QA) is a challenging task because it requires precise
reasoning with entity relations at every step towards the answer. The relations can be …

Knowledge base question answering (KBQA) aims to answer a question over a knowledge
base (KB). Early studies mainly focused on answering simple questions over KBs and …

Complex question answering over knowledge base (Complex KBQA) is challenging
because it requires various compositional reasoning capabilities, such as multi-hop …

Visual reasoning tasks such as visual question answering (VQA) require an interplay of
visual perception with reasoning about the question semantics grounded in perception …

Program induction for answering complex questions over knowledge bases (KBs) aims to
decompose a question into a multi-step program, whose execution against the KB produces …

Abstract Knowledge graph question answering (KGQA) is the procedure of processing
natural language questions posed by users to obtain relevant answers from knowledge …

Tackling online hatred using informed textual responses-called counter narratives-has been
brought under the spotlight recently. Accordingly, a research line has emerged to …

Question answering (QA) systems retrieve the most relevant answer to a natural language
question. Knowledge base question answering (KBQA) systems explore entities and …

Knowledge Graph Question Answering aims to automatically answer natural language
questions via well-structured relation information between entities stored in knowledge …