Optical Character Recognition2020en

wikibio

Dataset from Papers With Code

Metrics:accuracy, cer, wer, f1

bleu

#	Model	Score	Paper / Code	Date
1	Field-gating Seq2seq + dual attention	44.89	Table-to-text Generation by Structure-aware Seq2seq Learning Code	Nov 2017
2	Field-gating Seq2seq + dual attention + beam search	44.71	Table-to-text Generation by Structure-aware Seq2seq Learning Code	Nov 2017
3	MBD	41.56	Controlling Hallucinations at Word Level in Data-to-Text Generation Code	Feb 2021
4	Table NLM	34.7	Neural Text Generation from Structured Data with Application to the Biography Domain Code	Mar 2016

parent

#	Model	Score	Paper / Code	Date
1	MBD	56.16	Controlling Hallucinations at Word Level in Data-to-Text Generation Code	Feb 2021

rouge

#	Model	Score	Paper / Code	Date
1	Field-gating Seq2seq + dual attention + beam search	41.65	Table-to-text Generation by Structure-aware Seq2seq Learning Code	Nov 2017
2	Field-gating Seq2seq + dual attention	41.21	Table-to-text Generation by Structure-aware Seq2seq Learning Code	Nov 2017
3	Table NLM	25.8	Neural Text Generation from Structured Data with Application to the Biography Domain Code	Mar 2016

Related Papers3

Controlling Hallucinations at Word Level in Data-to-Text Generation

Feb 2021Models: MBD

Table-to-text Generation by Structure-aware Seq2seq Learning

Nov 2017Models: Field-gating Seq2seq + dual attention, Field-gating Seq2seq + dual attention + beam search

Neural Text Generation from Structured Data with Application to the Biography Domain

Mar 2016Models: Table NLM

Other Optical Character Recognition Datasets

scut-ctw1500 mpqa cnn-/-daily-mail icdar2013 SROIE KITAB-Bench ThaiOCRBench PolEval 2021 OCR IMPACT-PSNC CodeSOTA Polish

wikibio Benchmark - Optical Character Recognition | CodeSOTA