In order to accelerate the research for domain-specific knowledge graphs in the medical domain, we introduce DiaKG, a high-quality Chinese dataset for Diabetes knowledge graph, which contains 22, 050 entities and 6, 890 relations in total.
Automatic Question Answering (QA) has been successfully applied in various domains such as search engines and chatbots.
In the CTRP framework, a model takes a PICO-formatted clinical trial proposal with its background as input and predicts the result, i. e. how the Intervention group compares with the Comparison group in terms of the measured Outcome in the studied Population.
For this we use the pre-trained LMs as fixed feature extractors and restrict the downstream task models to not have additional sequence modeling layers.
Many problems in NLP require aggregating information from multiple mentions of the same entity which may be far apart in the text.
Ranked #6 on Question Answering on WikiHop