Enhancing biomedical word embeddings by retrofitting to verb clusters

WS 2019 Billy ChiuSimon BakerMartha PalmerAnna Korhonen

Verbs play a fundamental role in many biomed-ical tasks and applications such as relation and event extraction. We hypothesize that performance on many downstream tasks can be improved by aligning the input pretrained embeddings according to semantic verb classes.In this work, we show that by using semantic clusters for verbs, a large lexicon of verbclasses derived from biomedical literature, weare able to improve the performance of common pretrained embeddings in downstream tasks by retrofitting them to verb classes... (read more)

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