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06/26/2023
Data-Driven Approach for Formality-Sensitive Machine Translation: Language-Specific Handling and Synthetic Data Generation
In this paper, we introduce a data-driven approach for Formality-Sensiti...
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06/26/2023
Synthetic Alone: Exploring the Dark Side of Synthetic Data for Grammatical Error Correction
Data-centric AI approach aims to enhance the model performance without m...
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06/11/2023
Towards Diverse and Effective Question-Answer Pair Generation from Children Storybooks
Recent advances in QA pair generation (QAG) have raised interest in appl...
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03/20/2023
Self-Improving-Leaderboard(SIL): A Call for Real-World Centric Natural Language Processing Leaderboards
Leaderboard systems allow researchers to objectively evaluate Natural La...
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09/30/2022
QUAK: A Synthetic Quality Estimation Dataset for Korean-English Neural Machine Translation
With the recent advance in neural machine translation demonstrating its ...
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11/24/2021
A Self-Supervised Automatic Post-Editing Data Generation Tool
Data building for automatic post-editing (APE) requires extensive and ex...
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11/01/2021
A New Tool for Efficiently Generating Quality Estimation Datasets
Building of data for quality estimation (QE) training is expensive and r...
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10/30/2021
Automatic Knowledge Augmentation for Generative Commonsense Reasoning
Generative commonsense reasoning is the capability of a language model t...
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10/30/2021
How should human translation coexist with NMT? Efficient tool for building high quality parallel corpus
This paper proposes a tool for efficiently constructing high-quality par...
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10/28/2021
