#emnlp2023
Live, measured metrics for the hashtag #emnlp2023 from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #emnlp2023
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Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-31 05:53 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-07-31 05:53 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-31 05:53 UTCEverything below is measured over the latest 40 public posts (spanning ~1016 hours).
Posting hours (UTC) — busiest: 10:00
Languages: English (40)
Avg boosts / post: 0.1
Top of the latest posts
Datasets such as “Penn Treebank” play a pivotal role, leaving marks on the tasks like "Language Modeling," "POS Tagging," and "Semantic Parsing”, whereas tasks like “Speech Recognition” and “Summarization” witness the evolution of datasets
Exciting insights 🤩 Our paper analyzes #NLProc Tasks (such as “Sentiment Analysis” or “Word Sense Disambiguation”) revealing their common modeling as “Text Classification” task. (5/🧵) #EMNLP2023
RT by @wikiresearch: The video of the presentation w/ @rnav_arora of our #EMNLP2023 paper on Transparent Stance Detection in Multilingual Wikipedia Editor Discussions predicting Wikipedia policies for content moderation is now online at htt
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/emnlp2023