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/tanyuqian/cappy
OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization
https://github.com/tchebonenko/Automated-Topic_Modeling-and-NER
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
https://github.com/tcnguyen/bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/tdd-ai/data-collection
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/teghub/TurkishNER-BERT
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/tensorflow/models/tree/master/official/nlp
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/tensorflow/models/tree/master/official/nlp/albert
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
https://github.com/tensorflow/models/tree/master/official/nlp/projects/bigbird
https://github.com/text-machine-lab/transformerpy
https://github.com/textflint/textflint
TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing
https://github.com/thanhlong1997/bert_quora
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/the-Quert/iNLPfun
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/theQuert/inlpfun
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/thecodemasterk/BERT
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/thecodemasterk/Text-to-Text-transfer-transformers
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
https://github.com/thefonseca/factorsum
https://github.com/theneuralbeing/bert-finetuning-webinar
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/thethirdwheel/malumagraph
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/thomasdic2000/enhancedLSTM
https://github.com/thu-keg/omnievent
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/thudm/swissarmytransformer
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
https://github.com/thunlp/ReInfoSelect
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/tighu20/Kaggle-Tweet-Sentiment-Extraction
https://github.com/timrozday/spl-indications-bart
https://github.com/tmalbonph/tcbert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/tobyatgithub/bert_tutorial
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/tomer9080/stock-prediction-using-rwkv
https://github.com/tomgoter/nlp_finalproject
XLNet: Generalized Autoregressive Pretraining for Language Understanding
https://github.com/tonyzhaozh/few-shot-learning
https://github.com/tornermarton/bert-keras
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/transducens/LASERtrain
Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond
https://github.com/traviscoan/cards
https://github.com/tree-park/bert-pretrainer
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/tugstugi/mongolian-bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/turkunlp/megatron-deepspeed
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.