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태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 평가표
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- 보존된 평가 기록
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/michiyasunaga/qagnn
공식 코드QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering
https://github.com/pytorch/fairseq
공식 코드https://worksheets.codalab.org/worksheets/0xf215deb05edf44a2ac353c711f52a25f
공식 코드QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering
https://github.com/10Exahertz/Text-ResNet-on-Sentimental-LIAR-Fake-News
https://github.com/2023-MindSpore-1/ms-code-163
https://github.com/CMSC470-Team/Model
QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering
https://github.com/CalumPerrio/WNUT-2020
https://github.com/G-4-R-Y/Tweet-Sentiment-Extraction
https://github.com/G-4-R-Y/Tweet-Sentiment-Extraction-roBERTa-5fold
https://github.com/GeorgeLuImmortal/Hierarchical-BERT-Model-with-Limited-Labelled-Data
https://github.com/HaochenLiu2000/QAP
QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering
https://github.com/IndicoDataSolutions/finetune
https://github.com/Karthik-Bhaskar/Context-Based-Question-Answering
https://github.com/MS-P3/code7/tree/main/xlm_roberta_xl
https://github.com/NathanDuran/Sentence-Encoding-for-DA-Classification
https://github.com/PaddlePaddle/PaddleNLP/blob/develop/paddlenlp/transformers/roberta/modeling.py
https://github.com/SindhuMadi/FakeNewsDetection
https://github.com/Tencent/TurboTransformers
https://github.com/UnknownGenie/altered-BERT-KPE
https://github.com/abdumaa/hiqualprop
https://github.com/abhishekanand1710/noiseandbias
https://github.com/aistairc/kirt_bert_on_abci
https://github.com/allenai/dolma
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
https://github.com/awslabs/mlm-scoring
https://github.com/bcaitech1/p2-klue-Heeseok-Jeong
https://github.com/benywon/ReCO
https://github.com/bfopengradient/NLP_ROBERTA
https://github.com/blawok/named-entity-recognition
https://github.com/bluejurand/Kaggle_QA_Google_Labeling
https://github.com/bramiozo/PubScience
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
https://github.com/brightmart/roberta_zh
https://github.com/clovaai/textual-kd-slu
https://github.com/common-english/bert-all
https://github.com/devhemza/BERTweet_sentiment_analysis
https://github.com/dig-team/hanna-benchmark-asg
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.