https://github.com/louis-udm/ner-bert-crf
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Papers with Code 아카이브
Natural Language Understanding
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 2
- 평가표
- 6
- 보존된 평가 기록
- 42
Natural Language Understanding is an important field of Natural Language Processing which contains various tasks such as text classification, natural language inference and story comprehension. Applications enabled by natural language understanding range from question answering to automated reasoning.
Source: Find a Reasonable Ending for Stories: Does Logic Relation Help the Story Cloze Test?
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/lovedavidsilva/bert_old_version
https://github.com/ltgoslo/assessing_and_probing_sentiment
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/lucidrains/electra-pytorch
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators
https://github.com/lucidrains/x-transformers
https://github.com/luckynozomi/PPI_Bert
https://github.com/lucylow/En_francais_si_vous_plait-
https://github.com/ludwig-ai/ludwig
https://github.com/lukecq1231/enc_nli
Recurrent Neural Network-Based Sentence Encoder with Gated Attention for Natural Language Inference
https://github.com/lukemelas/PyTorch-Pretrained-ViT
https://github.com/lunaproject22/rpa
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/luogen1996/lavin
Cheap and Quick: Efficient Vision-Language Instruction Tuning for Large Language Models
https://github.com/luozhilin99/bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/lvyufeng/Cybertron/blob/master/cybertron/models/bert.py
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/lvyufeng/bert4ms
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/lvyufeng/mindspore-nlp-tutorial
https://github.com/lyccol/CodeBERT-based-webshell-detection
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/lyh6560new/p3sum
https://github.com/m-hahn/PMLM
Probabilistically Masked Language Model Capable of Autoregressive Generation in Arbitrary Word Order
https://github.com/m3hrdadfi/news-headline-generation
Leveraging Pre-trained Checkpoints for Sequence Generation Tasks
https://github.com/m3hrdadfi/wiki-summary
Leveraging Pre-trained Checkpoints for Sequence Generation Tasks
https://github.com/m42-health/med42
https://github.com/macournoyer/neuralconvo
https://github.com/madhawav/MML
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/madrylab/pretraining-distribution-shift-robustness
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/magahub/songrnn
https://github.com/mainaksingha01/applenet
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/mainaksingha01/odg-clip
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/majing2019/transformer
https://github.com/maknotavailable/pytorch-pretrained-bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/mangushev/intent_slot
https://github.com/manideep2510/siamese-BERT-fake-news-detection-LIAR
https://github.com/maroxtn/tun-sentiment
https://github.com/massquantity/LibRecommender
Self-supervised Learning for Large-scale Item Recommendations
https://github.com/maxjcohen/transformer
https://github.com/maxmatical/pytorch-projects
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.