  We created this EVIDENCEMINER system for automatic textual evidence mining in
COVID-19 literature. EVIDENCEMINER is a web-based system that lets users query
a natural language statement and automatically retrieves textual evidence from
a background corpora for life sciences. It is constructed in a completely
automated way without any human effort for training data annotation.
EVIDENCEMINER is supported by novel data-driven methods for distantly
supervised named entity recognition and open information extraction. The named
entities and meta-patterns are pre-computed and indexed offline to support fast
online evidence retrieval. The annotation results are also highlighted in the
original document for better visualization. EVIDENCEMINER also includes
analytic functionalities such as the most frequent entity and relation
summarization.
