  We present our work on aligning the Unified Medical Language System (UMLS) to
Wikipedia, to facilitate manual alignment of the two resources. We propose a
cross-lingual neural reranking model to match a UMLS concept with a Wikipedia
page, which achieves a recall@1 of 72%, a substantial improvement of 20% over
word- and char-level BM25, enabling manual alignment with minimal effort. We
release our resources, including ranked Wikipedia pages for 700k UMLS concepts,
and WikiUMLS, a dataset for training and evaluation of alignment models between
UMLS and Wikipedia. This will provide easier access to Wikipedia for health
professionals, patients, and NLP systems, including in multilingual settings.
