#webnlg2023
Live, measured metrics for the hashtag #webnlg2023 from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #webnlg2023
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Day-by-day usage
measured · mas.to (Mastodon public tags API) · fetched 2026-08-02 15:24 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mas.to (Mastodon public search API) · fetched 2026-08-02 15:24 UTCNo related tags with measured usage found for #webnlg2023.
Live pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-08-02 15:24 UTCEverything below is measured over the latest 4 public posts (spanning ~0.9 hours).
Posting hours (UTC)
Languages: English (4)
Avg boosts / post: 0
Top of the latest posts
After some technical difficulties we will hear from Michela Lorandi on "Data-to-text Generation for Severely Under-Resourced Languages with GPT-3.5: A bit of Help Needed from Google Translate" at #WebNLG2023 #MMNLG #SIGDIALxINLG2023
Now Simon Mille presents the #RuleBased system from the Dublin team, #Irish Rules! #WebNLG2023 #MMNLG #SIGDIALxINLG2023
Up next is Nalin Kumar presenting the Charles University Prague system for #WebNLG2023 "Better Translation + Split and Generate for Multilingual RDF-to-Text" #MMNLG #SIGDIALxINLG2023 Lots of the "silver standard" training data was noisy, so
#webnlg2023 across platforms
every network with a public tag surfaceFollow #webnlg2023 straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/webnlg2023