Who leads the twitter benchmark?

ApproxRepSet currently leads twitter with a score of 72.6 on Accuracy.

What is the state-of-the-art score on twitter?

The state-of-the-art result on twitter is 72.6 (Accuracy), achieved by ApproxRepSet as of 2020.

How many models are tracked on twitter?

Codesota tracks 3 models on twitter.

When was the twitter leaderboard last updated?

The twitter leaderboard on Codesota includes results through 2020, with the earliest tracked result from 2019.

Codesota · Benchmark · twitterHome/Leaderboards/Vision & Documents/Document OCR/twitter

Unknown

twitter.

Name: twitter Benchmark Results
Creator: Unknown
Published: 2019-01-01
License: https://creativecommons.org/licenses/by/4.0/

twitter is a state-of-the-art machine learning benchmark indexed on Codesota. This page tracks published model results, top scores per metric, and the SOTA timeline for twitter.

Paper ↗Leaderboard ↓

§ 01 · SOTA history

Year over year.

§ 02 · Leaderboard

Results by metric.

Only 3 models on this benchmark

Help build the community leaderboard — submit your model results.

Found a wrong score or missing run?

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Add / edit result ↗Report issue ↗

Accuracy

Accuracy is the reported evaluation metric for twitter. Codesota tracks published model scores on this metric so readers can compare state-of-the-art results across sources and model families.

Higher is better

Trust tiers for Accuracyverifiedpapervendorcommunityunverified

Rank	Model	Trust	Score	Year	Links	Fix
01	ApproxRepSet From paper: Rep the Set: Neural Networks for Learning Set Representations	verified	72.6	2019	Paper ↗Code ↗	Looks wrong?
02	REL-RWMD k-NN From paper: Speeding up Word Mover's Distance and its variants via properties of distances between embeddings	verified	71.05	2019	Paper ↗Code ↗	Looks wrong?
03	Orthogonalized Soft VSM From paper: Text classification with word embedding regularization and soft similarity measure	verified	69.21	2020	Paper ↗Code ↗	Looks wrong?

§ 04 · Submit a result

Add to the leaderboard.

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