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Proceedings of the 17th Workshop on Multiword Expressions (MWE 2021)
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In: https://hal.archives-ouvertes.fr/hal-03320983 ; Association for Computational Linguistics. Online, 2021 (2021)
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Multi-Class Grammatical Error Detection for Correction: A Tale of Two Systems ...
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Abstract:
Anthology paper link: https://aclanthology.org/2021.emnlp-main.687/ Abstract: In this paper, we show how a multi-class grammatical error detection (GED) system can be used to improve grammatical error correction (GEC) for English. Specifically, we first develop a new state-of-the-art binary detection system based on pre-trained ELECTRA, and then extend it to multi-class detection using different error type tagsets derived from the ERRANT framework. Output from this detection system is used as auxiliary input to fine-tune a novel encoder-decoder GEC model, and we subsequently re-rank the N-best GEC output to find the hypothesis that most agrees with the GED output. Results show that fine-tuning the GEC system using 4-class GED produces the best model, but re-ranking using 55-class GED leads to the best performance overall. This suggests that different multi-class GED systems benefit GEC in different ways. Ultimately, our system outperforms all other previous work that combines GED and GEC, and achieves a new ...
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Keyword:
Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Natural Language Processing
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URL: https://dx.doi.org/10.48448/pjde-kn42 https://underline.io/lecture/37665-multi-class-grammatical-error-detection-for-correction-a-tale-of-two-systems
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MTLB-STRUCT @PARSEME 2020: Capturing Unseen Multiword Expressions Using Multi-task Learning and Pre-trained Masked Language Models ...
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MTLB-STRUCT @PARSEME 2020: Capturing Unseen Multiword Expressions Using Multi-task Learning and Pre-trained Masked Language Models ...
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What matters more: the size of the corpora or their quality? The case of automatic translation of multiword expressions using comparable corpora.
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Detecting semantic difference: a new model based on knowledge and collocational association
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In: Computational Phraseology ; 312 ; 324 (2020)
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Bridging the gap: Attending to discontinuity in identification of multiword expressions ...
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Bridging the Gap: Attending to Discontinuity in Identification of Multiword Expressions ...
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Bridging the gap: Attending to discontinuity in identification of multiword expressions
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Rohanian, O; Taslimipoor, Shiva; Kouchaki, S. - : ACL, 2019. : NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Conference, 2019
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Cross-lingual transfer learning and multitask learning for capturing multiword expressions
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In: 155 ; 161 (2019)
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Bridging the gap: attending to discontinuity in identification of multiword expressions
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GCN-Sem at SemEval-2019 Task 1: Semantic Parsing using Graph Convolutional and Recurrent Neural Networks
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Annotated corpora and tools of the PARSEME Shared Task on Automatic Identification of Verbal Multiword Expressions (edition 1.1)
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Multiword expressions at length and in depth: Extended papers from the MWE 2017 workshop
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In: Language Science Press; (2018)
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Multiword expressions at length and in depth: Extended papers from the MWE 2017 workshop
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In: Language Science Press; (2018)
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Multiword expressions at length and in depth: Extended papers from the MWE 2017 workshop
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In: Language Science Press; (2018)
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Multiword expressions at length and in depth: Extended papers from the MWE 2017 workshop
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In: Language Science Press; (2018)
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Multiword expressions at length and in depth: Extended papers from the MWE 2017 workshop
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In: Language Science Press; (2018)
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Multiword expressions at length and in depth: Extended papers from the MWE 2017 workshop
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In: Language Science Press; (2018)
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