![PDF] Using Source Code Density to Improve the Accuracy of Automatic Commit Classification into Maintenance Activities | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/22e4bd768122f25615619395b7929d059c1da987/17-Table10-1.png "PDF] Using Source Code Density to Improve the Accuracy of Automatic Commit Classification into Maintenance Activities | Semantic Scholar")
PDF] Using Source Code Density to Improve the Accuracy of Automatic Commit Classification into Maintenance Activities | Semantic Scholar
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![Caleb Ziems on Twitter: "@WilliamBarrHeld @jiaao_chen @Diyi_Yang 2️⃣ Can #LLMs replace human annotation? ❌ not for expert taxonomies (#ImplicitHate) or parsing tasks (#ArgumentExtraction) [<40% acc.] ❔ maybe where objective ground truth (#misinfo)](https://pbs.twimg.com/media/FuQXsdfacAU7bQg.jpg:large "Caleb Ziems on Twitter: \"@WilliamBarrHeld @jiaao_chen @Diyi_Yang 2️⃣ Can #LLMs replace human annotation? ❌ not for expert taxonomies (#ImplicitHate) or parsing tasks (#ArgumentExtraction) [<40% acc.] ❔ maybe where objective ground truth (#misinfo)")
Caleb Ziems on Twitter: "@WilliamBarrHeld @jiaao_chen @Diyi_Yang 2️⃣ Can #LLMs replace human annotation? ❌ not for expert taxonomies (#ImplicitHate) or parsing tasks (#ArgumentExtraction) [<40% acc.] ❔ maybe where objective ground truth (#misinfo)
Accuracy Assessment || Kappa Coefficient || Overall Accuracy || User's Accuracy || Producer Accuracy - YouTube
