COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation
Table 1: Knowledge-driven QA Output Examples
['[BOLD] Question', '[BOLD] # of Answers', '[BOLD] Example Answers']
In addition to knowledge elements, we also present related sentences as evidence. We use BioBert lee2020biobert pre-trained language model to represent each sentence along with its left and right neighboring sentences as local contexts. Using the same architecture computed on all respective sentences and user query, we aggregate the sequence embedding layer, the last hidden layer in the BERT architecture with average pooling reimers-2019-sentence-bert. We use the similarity between the embedding representations of each sentence and query to extract the most relevant sentences as evidence.