Syllable-based Korean named entity recognition using convolutional neural network

Yeon-Soo, You; Park, Hyuk-Ro

doi:10.5916/jamet.2020.44.1.68

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2021

2022

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“…Minho Kim, et al has developed a machine reading comprehension-based question and answering system and applied KorQuAD for performance test in 2020 [57]. Seohyung Jeon, et al applied KorQuAD dataset on BERT-based multilingual model for machine reading comprehension task in 2020 [58]. [20].…”

Section: Korquadmentioning

confidence: 99%

A Survey on Awesome Korean NLP Datasets

Ban¹

2021

Preprint

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English based datasets are commonly available from Kaggle, GitHub, or recently published papers. Although benchmark tests with English datasets are sufficient to show off the performances of new models and methods, still a researcher need to train and validate the models on Korean based datasets to produce a technology or product, suitable for Korean processing. This paper introduces 15 popular Korean based NLP datasets with summarized details such as volume, license, repositories, and other research results inspired by the datasets. Also, I provide high-resolution instructions with sample or statistics of datasets. The main characteristics of datasets are presented on a single table to provide a rapid summarization of datasets for researchers.

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Section: Korquadmentioning

confidence: 99%