{"task":"Grammatical Error Correction","dataset":"CoNLL-2014 Shared Task (10 annotations)","metric_names":["F0.5"],"rows":[{"id":41001,"task":"Grammatical Error Correction","parent_task":null,"dataset":"CoNLL-2014 Shared Task (10 annotations)","model_name":"GRECO (vote+ESC)","metrics":{"F0.5":"85.21"},"paper_url":"https://arxiv.org/abs/2310.14947v1","paper_title":"System Combination via Quality Estimation for Grammatical Error Correction","paper_date":"2023-10-23","code_links":[{"title":"nusnlp/greco","url":"https://github.com/nusnlp/greco"}],"metrics_order":"[\"F0.5\"]","area":"Natural Language Processing","uses_additional_data":0,"source":"archive","tags":[]},{"id":41002,"task":"Grammatical Error Correction","parent_task":null,"dataset":"CoNLL-2014 Shared Task (10 annotations)","model_name":"SMT + BiGRU","metrics":{"F0.5":"72.04 "},"paper_url":"http://arxiv.org/abs/1804.05945v1","paper_title":"Near Human-Level Performance in Grammatical Error Correction with Hybrid Machine Translation","paper_date":"2018-04-16","code_links":[],"metrics_order":"[\"F0.5\"]","area":"Natural Language Processing","uses_additional_data":0,"source":"archive","tags":[]},{"id":41003,"task":"Grammatical Error Correction","parent_task":null,"dataset":"CoNLL-2014 Shared Task (10 annotations)","model_name":"CNN Seq2Seq","metrics":{"F0.5":"70.14"},"paper_url":"http://arxiv.org/abs/1801.08831v1","paper_title":"A Multilayer Convolutional Encoder-Decoder Neural Network for Grammatical Error Correction","paper_date":"2018-01-26","code_links":[{"title":"nusnlp/mlconvgec2018","url":"https://github.com/nusnlp/mlconvgec2018"},{"title":"seaweiqing/neuraltalk_plus_charcnn","url":"https://github.com/seaweiqing/neuraltalk_plus_charcnn"},{"title":"seaweiqing/image2story","url":"https://github.com/seaweiqing/image2story"}],"metrics_order":"[\"F0.5\"]","area":"Natural Language Processing","uses_additional_data":0,"source":"archive","tags":[]}]}