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09/21/2023
CAMERA: A Multimodal Dataset and Benchmark for Ad Text Generation
In response to the limitations of manual online ad production, significa...
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06/30/2023
Japanese Lexical Complexity for Non-Native Readers: A New Dataset
Lexical complexity prediction (LCP) is the task of predicting the comple...
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05/23/2022
Towards Automated Document Revision: Grammatical Error Correction, Fluency Edits, and Beyond
Natural language processing technology has rapidly improved automated gr...
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01/20/2022
Construction of a Quality Estimation Dataset for Automatic Evaluation of Japanese Grammatical Error Correction
In grammatical error correction (GEC), automatic evaluation is an import...
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01/17/2022
Proficiency Matters Quality Estimation in Grammatical Error Correction
This study investigates how supervised quality estimation (QE) models of...
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06/06/2021
Do Grammatical Error Correction Models Realize Grammatical Generalization?
There has been an increased interest in data generation approaches to gr...
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11/04/2020
PheMT: A Phenomenon-wise Dataset for Machine Translation Robustness on User-Generated Contents
Neural Machine Translation (NMT) has shown drastic improvement in its qu...
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10/07/2020
A Self-Refinement Strategy for Noise Reduction in Grammatical Error Correction
Existing approaches for grammatical error correction (GEC) largely rely ...
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05/03/2020
Encoder-Decoder Models Can Benefit from Pre-trained Masked Language Models in Grammatical Error Correction
This paper investigates how to effectively incorporate a pre-trained mas...
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11/28/2019
GitHub Typo Corpus: A Large-Scale Multilingual Dataset of Misspellings and Grammatical Errors
The lack of large-scale datasets has been a major hindrance to the devel...
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09/02/2019
An Empirical Study of Incorporating Pseudo Data into Grammatical Error Correction
The incorporation of pseudo data in the training of grammatical error co...
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04/05/2019