Answering complex factual questions has drawn a lot of attention. Researchers leverage
various data sources to support complex QA, such as unstructured texts, structured …

In knowledge base question answering (KBQA) systems, relation detection and entity
recognition are two core components. However, since the relation detection in KBQA …

Program induction is a crucial paradigm for complex question answering over knowledge
bases. In the existing learning framework, the predicted program is required to strictly align …

Biomedical relation extraction aims to identify underlying relationships among entities, such
as gene associations and drug interactions, within biomedical texts. Despite advancements …

Data availability is becoming more essential, considering the current growth of web-based
data. The data available on the web are represented as unstructured, semi-structured, or …

Large language models empowering recent conversational systems such as Alexa and Siri
require external knowledge to generate informative and accurate dialogues. The knowledge …