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Only Connect Walls Dataset Task 1 (Grouping)
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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Split data into groups, taking into account knowledge in the form of constraints on points, groups of points, or clusters.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/PaddlePaddle/PaddleNLP/tree/develop/paddlenlp/transformers/mpnet
MPNet: Masked and Permuted Pre-training for Language Understanding
https://github.com/PrashantRanjan09/Elmo-Tutorial
https://github.com/PrashantRanjan09/WordEmbeddings-Elmo-Fasttext-Word2Vec
https://github.com/RundongChou/elmo-chinese-oversimplified
https://github.com/SindhuMadi/FakeNewsDetection
https://github.com/TEAMLAB-Lecture/deep_nlp_101
https://github.com/Tencent/TurboTransformers
https://github.com/UKPLab/elmo-bilstm-cnn-crf
https://github.com/UnknownGenie/altered-BERT-KPE
https://github.com/YC-wind/embedding_study
https://github.com/abdumaa/hiqualprop
https://github.com/abhishekanand1710/noiseandbias
https://github.com/aistairc/kirt_bert_on_abci
https://github.com/allenai/bilm-tf
https://github.com/allenai/scifact
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
https://github.com/ankurbanga/Language-Models
https://github.com/askaydevs/distillbert-qa
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
https://github.com/awslabs/mlm-scoring
https://github.com/ayeffkay/rubert-tiny
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
https://github.com/bcaitech1/p2-klue-Heeseok-Jeong
https://github.com/benywon/ReCO
https://github.com/bestend/tf2-bi-lstm-crf-nni
https://github.com/bfopengradient/NLP_ROBERTA
https://github.com/blawok/named-entity-recognition
https://github.com/bluejurand/Kaggle_QA_Google_Labeling
https://github.com/bplank/teaching-dl4nlp
https://github.com/brightmart/roberta_zh
https://github.com/cheng18/bilm-tf
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
https://github.com/dmlc/gluon-nlp
https://github.com/dngback/co-forget-protocol
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
https://github.com/duanchi1230/NLP_Project_AI2_Reasoning_Challenge
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.