A rule-based disambiguation method using networks and content features achieves F1 scores of 0.88 for Pinyin and 0.89 for character names on 80 annotated pairs from 65k physics papers, outperforming baselines via higher recall.
Context effects and the processing of spoken homophones.READING AND WRITING, 10(3-5):223–243, OCT 1998
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Bridging the Language Gap in Scholarly Data I: Enhancing Author Disambiguation Algorithms for Chinese Names
A rule-based disambiguation method using networks and content features achieves F1 scores of 0.88 for Pinyin and 0.89 for character names on 80 annotated pairs from 65k physics papers, outperforming baselines via higher recall.