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4 months ago
BomJi at SemEval-2018 Task 10: Combining Vector-, Pattern- and Graph-based Information to Identify Discriminative Attributes
Enrico Santus; Chris Biemann; Emmanuele Chersoni
Abstract
This paper describes BomJi, a supervised system for capturing discriminative attributes in word pairs (e.g. yellow as discriminative for banana over watermelon). The system relies on an XGB classifier trained on carefully engineered graph-, pattern- and word embedding based features. It participated in the SemEval- 2018 Task 10 on Capturing Discriminative Attributes, achieving an F1 score of 0:73 and ranking 2nd out of 26 participant systems.
Benchmarks
| Benchmark | Methodology | Metrics |
|---|---|---|
| relation-extraction-on-semeval-2018-task-10 | Gradient boosting with co-occurrence count features and JoBimText features | F1-Score: 0.73 |
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