AI NEWS CENTRAL

TripleGrader: A Web-Based Platform Supporting Collaborative Triple Annotation with Quality Grading and Inter-Rater Agreement Assessment

arXiv cs.AI · Rajan Lamichhane, Songhui Yue ·

arXiv:2611.10317v1 Announce Type: new Abstract: Knowledge graphs need validated relational triples, and gold benchmarks of such triples are often built by several annotators. Most text annotation platforms focus on span tagging and compute agreement on categorical labels. They are not designed for ordinal quality…

Excerpt provided by arXiv cs.AI via its public feed. Full reporting belongs to the original publisher.

Read the full story on arXiv cs.AI

Related coverage