https://github.com/goodluck4s/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.
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- 평가표
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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/google-deepmind/xquad
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/google-research-datasets/paws
Bilateral Multi-Perspective Matching for Natural Language Sentences
https://github.com/google-research/t5x
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
https://github.com/google-research/t5x_retrieval
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
https://github.com/google-research/text-to-text-transfer-transformer
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
https://github.com/google/paxml
https://github.com/google/seqio
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/gouqi666/rast
https://github.com/gouwenrui/cpe-pro-main
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/gprateek-iitk/Quora-question-pair-matching
Bilateral Multi-Perspective Matching for Natural Language Sentences
https://github.com/graison-thomas/TinyFinBERT
TinyBERT: Distilling BERT for Natural Language Understanding
https://github.com/grantslatton/llama.cpp
https://github.com/graykode/ALBERT-Pytorch
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
https://github.com/graykode/nlp-tutorial
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/graykode/xlnet-Pytorch
XLNet: Generalized Autoregressive Pretraining for Language Understanding
https://github.com/griff4692/LMC
https://github.com/gulucaptain/dynamictrl
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
https://github.com/guoyaohua/BERT-Chinese-Annotation
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/guoyaohua/BERT-Classifier
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/guzhang480/Google_BERT
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/h4ste/oscar
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/habibullah-araphat/BERT-GPU
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/habibullah-araphat/BERT-NER-TPU
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/haidershaour/bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/haisongzhang/roberta-tiny-cased
https://github.com/haiyang-w/git
https://github.com/halo090770/bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/han-shi/SparseBERT
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/hannibal046/nanorwkv
https://github.com/hantek/SelfAttentiveSentEmbed
https://github.com/haoxiang-wang/isr
https://github.com/harenlin/IMDB-Sentiment-Analysis-Using-BERT-Fine-Tuning
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/harvardnlp/decomp-attn
A Decomposable Attention Model for Natural Language Inference
https://github.com/hate-alert/indicabusive
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/haydlite/sparse-bert-ner
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.