Author

Christopher Bryant

AI Research Scientist (Writer), Visiting Researcher (University of Cambridge) - Cited by 1,576 - Natural Language Processing - Grammatical Error Correction - Automatic Annotation

Biography

Dr. Christopher Bryant Wang is an Associate professor in the Department of Research Associate, University of Cambridge,UK. His study interests major on Automatic Annotation. Currently , Dr.Christopher Bryant is the author/editors/reviewer in several international journals. He published 10 articles in many journals and the articles are informative and got good citations
Title
Cited by
Year
The CoNLL-2014 shared task on grammatical error correction
HT Ng, SM Wu, T Briscoe, C Hadiwinoto, RH Susanto, C BryantProceedings of the Eighteenth Conference on Computational Natural Language …, 2014201
616
2014
The BEA-2019 shared task on grammatical error correction
C Bryant, M Felice, ØE Andersen, T BriscoeProceedings of the Fourteenth Workshop on Innovative Use of NLP for Building …, 2019201
251
2019
Automatic annotation and evaluation of error types for grammatical error correction
CJ Bryant, M Felice, E BriscoeAssociation for Computational Linguistics, 2017201
245
2017
The conll-2015 shared task on shallow discourse parsing
N Xue, HT Ng, S Pradhan, R Prasad, C Bryant, A RutherfordProceedings of the Nineteenth Conference on Computational Natural Language …, 2015201
162
2015
How far are we from fully automatic high quality grammatical error correction?
C Bryant, HT NgProceedings of the 53rd Annual Meeting of the Association for Computational …, 2015201
76
2015
Automatic extraction of learner errors in ESL sentences using linguistically enhanced alignments
M Felice, C Bryant, T BriscoeProceedings of COLING 2016, the 26th International Conference on …, 2016201
62
2016
Language model based grammatical error correction without annotated training data
C Bryant, T BriscoeProceedings of the thirteenth workshop on innovative use of NLP for building …, 2018201
46
2018
Neural grammatical error correction with finite state transducers
F Stahlberg, C Bryant, B ByrnearXiv preprint arXiv:1903.10625, 2019201
28
2019
Multi-class grammatical error detection for correction: A tale of two systems
Z Yuan, S Taslimipoor, C Davis, C BryantProceedings of the 20 Conference on Empirical Methods in Natural Language …, 202
21
2021
Grammatical Error Correction: A Survey of the State of the Art
C Bryant, Z Yuan, MR Qorib, H Cao, HT Ng, T BriscoearXiv preprint arXiv:21.05166, 2023202
21
2023
Document-level grammatical error correction
Z Yuan, C BryantProceedings of the 16th Workshop on Innovative Use of NLP for Building …, 2021202
11
2021
A crash course in automatic grammatical error correction
R Grundkiewicz, C Bryant, M FeliceProceedings of the 2th International Conference on Computational …, 2020202
8
2020
CanVEC-the canberra Vietnamese-English code-switching natural speech corpus
L Nguyen, C BryantProceedings of the Twelfth Language Resources and Evaluation Conference …, 2020202
6
2020
Automatic language identification in code-switched hindi-english social media text
L Nguyen, C Bryant, S Kidwai, T BiberauerJournal of Open Humanities Data 7, 2021202
4
2021
Accent evaluation from extemporaneous child speech
ML García Lecumberri, M Cooke, C BryantPoznan Studies in Contemporary Linguistics 51 (2), 227-246, 2015201
3
2015
Issues in preprocessing current datasets for grammatical error correction
C Bryant, M FeliceUniversity of Cambridge, Computer Laboratory, 2016201
3
2016
Proceedings of the Eighteenth Conference on Computational Natural Language Learning: Shared Task
HT Ng, SM Wu, T Briscoe, C Hadiwinoto, RH Susanto, C BryantProceedings of the Eighteenth Conference on Computational Natural Language …, 20420
1
2014
Probing for targeted syntactic knowledge through grammatical error detection
C Davis, C Bryant, A Caines, M Rei, P ButteryarXiv preprint arXiv:220.6228, 2022202
1
2022
An Extended Sequence Tagging Vocabulary for Grammatical Error Correction
S Mesham, C Bryant, M Rei, Z YuanarXiv preprint arXiv:2302.0593, 2023202
1
2023
Contextual sentence classification: Detecting sustainability initiatives in company reports
D Hirlea, C Bryant, M Zollo, M ReiarXiv preprint arXiv:20.03727, 20220
1
2021