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arXiv · 2005.01281

WikiUMLS: Aligning UMLS to Wikipedia via Cross-lingual Neural Ranking

Afshin Rahimi·Timothy Baldwin·Karin Verspoor
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Abstract

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.

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Afshin Rahimi, Timothy Baldwin, Karin Verspoor. 2020-11-02. WikiUMLS: Aligning UMLS to Wikipedia via Cross-lingual Neural Ranking. https://arxiv.org/abs/2005.01281

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