Pinned Repositories
PsychiatricPatientScreening
2019_aicup_PaperAnnotation_competition
Provide abstracts of computer science-related papers on arXiv. Participants need to use this data to predict the classification (Background, Objectives, Methods, Results, Conclusions, Others) of each sentence in the paper.
2020_aicup_ClinicalDe-identification
Provide outpatient dialogues and related interviews collected from the outpatient clinics of Chengda Hospital, and manually mark the privacy content and types in the dialogue data. The data are divided into training set, construction set (development set) and test set. The main goal of this competition is to identify and extract content containing private information from the dialogue between doctors and the public, and to classify what kind of privacy the content belongs to. Use F1-Score to evaluate the accuracy of the prediction results of the contestants on the test corpus.
mango_data
vae_role
2021_LawTech_competition
aigo-google-reviews-filter
CIFAR
CoNLL2000_dataset
emoji
emoji_dataset
ken19980727's Repositories
ken19980727/OvienLee.github.io
ken19980727/Pretrained-Language-Model
Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.
ken19980727/aigo-google-reviews-filter
ken19980727/2021_LawTech_competition
ken19980727/2019_aicup_PaperAnnotation_competition
Provide abstracts of computer science-related papers on arXiv. Participants need to use this data to predict the classification (Background, Objectives, Methods, Results, Conclusions, Others) of each sentence in the paper.
ken19980727/2020_aicup_ClinicalDe-identification
Provide outpatient dialogues and related interviews collected from the outpatient clinics of Chengda Hospital, and manually mark the privacy content and types in the dialogue data. The data are divided into training set, construction set (development set) and test set. The main goal of this competition is to identify and extract content containing private information from the dialogue between doctors and the public, and to classify what kind of privacy the content belongs to. Use F1-Score to evaluate the accuracy of the prediction results of the contestants on the test corpus.
ken19980727/vae_role
ken19980727/NAR-BERT-ASR
NAR-BERT-ASR
ken19980727/PsychiatricPatientScreening
ken19980727/mango_data
ken19980727/emoji
emoji_dataset
ken19980727/CoNLL2000_dataset
ken19980727/CIFAR