In-Context Learning (ICL), which formulates target tasks as prompt compl...
A Temporal Knowledge Graph (TKG) is a sequence of KGs with respective
ti...
The ability of pretrained Transformers to remember factual knowledge is
...
Biomedical Question Answering (BQA) has attracted increasing attention i...
A Temporal Knowledge Graph (TKG) is a sequence of KGs corresponding to
d...
Pre-trained language models (PLMs), such as BERT and GPT, have revolutio...
Link prediction on knowledge graphs (KGs) is a key research topic. Previ...
Entities, as the essential elements in relation extraction tasks, exhibi...
Knowledge graph embedding, which projects symbolic entities and relation...
Current evaluation metrics to question answering based machine reading
c...
While sophisticated neural-based techniques have been developed in readi...
Machine reading comprehension (MRC) on real web data usually requires th...
In this paper, we introduce DuReader, a new large-scale, open-domain Chi...