Noisy Channel for Low Resource Grammatical Error Correction
暂无分享,去创建一个
[1] Hwee Tou Ng,et al. The CoNLL-2013 Shared Task on Grammatical Error Correction , 2013, CoNLL Shared Task.
[2] Hui Lin,et al. A Simple but Effective Classification Model for Grammatical Error Correction , 2018, ArXiv.
[3] Kenneth Ward Church,et al. A Spelling Correction Program Based on a Noisy Channel Model , 1990, COLING.
[4] Ted Briscoe,et al. Language Model Based Grammatical Error Correction without Annotated Training Data , 2018, BEA@NAACL-HLT.
[5] Ilya Sutskever,et al. Language Models are Unsupervised Multitask Learners , 2019 .
[6] Ted Briscoe,et al. The BEA-2019 Shared Task on Grammatical Error Correction , 2019, BEA@ACL.
[7] Rafael E. Banchs,et al. A Report on the Automatic Evaluation of Scientific Writing Shared Task , 2016, BEA@NAACL-HLT.
[8] George A. Miller,et al. WordNet: A Lexical Database for English , 1995, HLT.
[9] Lior Rokach,et al. Choosing the Right Word: Using Bidirectional LSTM Tagger for Writing Support Systems , 2019, Eng. Appl. Artif. Intell..
[10] Adam Kilgarriff,et al. Helping Our Own: The HOO 2011 Pilot Shared Task , 2011, ENLG.
[11] Ming-Wei Chang,et al. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding , 2019, NAACL.
[12] Robert L. Mercer,et al. Context based spelling correction , 1991, Inf. Process. Manag..
[13] Lukasz Kaiser,et al. Attention is All you Need , 2017, NIPS.
[14] Raymond Hendy Susanto,et al. The CoNLL-2014 Shared Task on Grammatical Error Correction , 2014 .
[15] Marcin Junczys-Dowmunt,et al. The WikEd Error Corpus: A Corpus of Corrective Wikipedia Edits and Its Application to Grammatical Error Correction , 2014, PolTAL.
[16] Christo Kirov,et al. Very-large Scale Parsing and Normalization of Wiktionary Morphological Paradigms , 2016, LREC.
[17] Marcin Junczys-Dowmunt,et al. Near Human-Level Performance in Grammatical Error Correction with Hybrid Machine Translation , 2018, NAACL.
[18] James H. Martin,et al. Speech and Language Processing, 2nd Edition , 2008 .
[19] Ming Zhou,et al. Reaching Human-level Performance in Automatic Grammatical Error Correction: An Empirical Study , 2018, ArXiv.