
Tanja Baeumel contributed to the acl-org/acl-anthology repository by enhancing data completeness for the 2025.mathnlp collection. She added a missing paper entry, including detailed metadata such as title, authors, abstract, and DOI, and updated an author’s ORCID to improve attribution accuracy. Her work focused on XML manipulation and YAML configuration, ensuring that metadata was both accurate and discoverable. Tanja used Git-based patching and collaborated with co-authors to implement these changes, which improved the integrity and searchability of the anthology’s data. The scope of work was targeted, addressing specific data gaps rather than broad feature development or bug fixing.
March 2026 monthly summary for acl-org/acl-anthology: Delivered data completeness improvements to the 2025.mathnlp collection by adding a missing paper entry and updating author ORCID, enhancing profile accuracy and searchability. No major bugs fixed this period; data integrity was improved via a focused metadata update and attribution fix. Impact includes improved discoverability, author attribution, and downstream analytics. Technologies/skills demonstrated include Git-based patching, metadata modeling (paper entry fields: title, authors, abstract, DOI), ORCID integration, and cross-team collaboration with co-authors.
March 2026 monthly summary for acl-org/acl-anthology: Delivered data completeness improvements to the 2025.mathnlp collection by adding a missing paper entry and updating author ORCID, enhancing profile accuracy and searchability. No major bugs fixed this period; data integrity was improved via a focused metadata update and attribution fix. Impact includes improved discoverability, author attribution, and downstream analytics. Technologies/skills demonstrated include Git-based patching, metadata modeling (paper entry fields: title, authors, abstract, DOI), ORCID integration, and cross-team collaboration with co-authors.

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