Enriching Knowledge Bases with Counting Quantifiers
Table 3: Performance of CINEX-CRF on recognizing counting quantifier mentions, per mention type. Numt. stands for number-related terms, Art. for indefinite articles. Baseline comparison is only for cardinals (highest F1-score per relation in boldface).
['Relation', 'Baseline\xa0 Cardinals', 'Baseline\xa0 Cardinals', 'Baseline\xa0 Cardinals', 'CINEX-CRF (per type) Cardinals', 'CINEX-CRF (per type) Cardinals', 'CINEX-CRF (per type) Cardinals', 'CINEX-CRF (per type) Numt.+Art.', 'CINEX-CRF (per type) Numt.+Art.', 'CINEX-CRF (per type) Numt.+Art.', 'CINEX-CRF (per type) Ordinals', 'CINEX-CRF (per type) Ordinals', 'CINEX-CRF (per type) Ordinals']
This provides a more fair comparison with the baseline that only considers cardinal numbers. Still, CINEX-CRF achieves a higher precision on all relations, and a higher F1-score on 4 out of 5. We also see variety within the mention types and relations, ordinals for instance being well picked up for hasSpouse, but badly for hasChild.