https://github.com/longbowking/bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Papers with Code 아카이브
Natural Language Inference
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 평가표
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- 보존된 평가 기록
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Natural language inference (NLI) is the task of determining whether a "hypothesis" is true (entailment), false (contradiction), or undetermined (neutral) given a "premise".
Example:
| Premise | Label | Hypothesis |
|---|---|---|
| A man inspects the uniform of a figure in some East Asian country. | contradiction | The man is sleeping. |
| An older and younger man smiling. | neutral | Two men are smiling and laughing at the cats playing on the floor. |
| A soccer game with multiple males playing. | entailment | Some men are playing a sport. |
Approaches used for NLI include earlier symbolic and statistical approaches to more recent deep learning approaches. Benchmark datasets used for NLI include SNLI, MultiNLI, SciTail, among others. You can get hands-on practice on the SNLI task by following this d2l.ai chapter.
Further readings:
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/longhao-chen/aicas2024
https://github.com/louis-udm/ner-bert-crf
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/lovedavidsilva/bert_old_version
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/ltgoslo/assessing_and_probing_sentiment
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/ltruncel/Microsoft_Azure_50daysofudacity
https://github.com/lucidrains/CoCa-pytorch
https://github.com/lucidrains/FLASH-pytorch
https://github.com/lucidrains/PaLM-jax
https://github.com/lucidrains/PaLM-pytorch
https://github.com/lucidrains/charformer-pytorch
Charformer: Fast Character Transformers via Gradient-based Subword Tokenization
https://github.com/lucidrains/compressive-transformer-pytorch
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
https://github.com/lucidrains/g-mlp-gpt
https://github.com/lucidrains/g-mlp-pytorch
https://github.com/lucidrains/mlp-gpt-jax
https://github.com/lucidrains/nystrom-attention
Nyströmformer: A Nyström-Based Algorithm for Approximating Self-Attention
https://github.com/lucidrains/routing-transformer
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
https://github.com/lucidrains/sinkhorn-transformer
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
https://github.com/luckynozomi/PPI_Bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
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
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/lukexyz/Deep-Lyrical-Genius
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
https://github.com/luomancs/retriever_reader_for_okvqa
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
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/ERNIE_mindspore
ERNIE: Enhanced Representation through Knowledge Integration
https://github.com/lvyufeng/bert4ms
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/lvyufeng/bert4ms/blob/master/bert4ms/models/xlnet.py
XLNet: Generalized Autoregressive Pretraining for Language Understanding
https://github.com/lvyufeng/mindspore-nlp-tutorial
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/lyccol/CodeBERT-based-webshell-detection
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/lyqcom/albert
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
https://github.com/lyqcom/emotect
ERNIE: Enhanced Representation through Knowledge Integration
https://github.com/maanvithag/thinkai
https://github.com/madhawav/MML
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/maexe/linspector-web
LINSPECTOR: Multilingual Probing Tasks for Word Representations
https://github.com/makcedward/nlpaug
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.