Abstract: Causal Question Answering (CQA) is essential for knowledge discovery, focusing on the intricate dynamics between events and entities without predefined contexts. Despite advancements of CQA ...
We explore practical approaches to dataset construction, examining the advantages and limitations of 3 primary methods: fully manual preparation by expert annotators, fully synthetic generation using ...
Abstract: The principal drug recommendation algorithms are now founded on historical electronic health records. This data insufficiently represents patients’ present health situation and neglects ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results