https://github.com/Skumarr53/Attention-is-All-you-Need-PyTorch
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
- 3
- 평가표
- 43
- 보존된 평가 기록
- 505
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/Smerity/keras_snli
Learning Natural Language Inference using Bidirectional LSTM model and Inner-Attention
https://github.com/Soikonomou/albert_final
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
https://github.com/Soikonomou/albert_final_infer12
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
https://github.com/Soikonomou/albert_final_infer8
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
https://github.com/Soikonomou/bert_new
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
https://github.com/Soikonomou/bert_new_new
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
https://github.com/Somefive/XNLI
https://github.com/Soren-Kierkegaard/BERT-for-tweet-Classifcation
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/SpikeKing/My-Bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/StoneGH/bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/StuartCHAN/KARL
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/SumitM0432/Quora-Insincere-Questions-Classification
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/Susheel-1999/Sentence_Similarity
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/Sypherd/lm-evaluation-harness
https://github.com/TEAMLAB-Lecture/deep_nlp_101
https://github.com/TOSHISTATS/Classification-of-Japanese-news-with-BERT
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/TSLNIHAOGIT/bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/TSLNIHAOGIT/bert_run
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/TYTYTYTYTYTYTYTYTY/558-project
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/TangJiaLong/Knowledge-Projection-for-ERE
https://github.com/TannerFry/CS522-Final-Project
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/Tao-Mind/QDD_Net
https://github.com/TeamLab/bert-gcn-for-paper-citation
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/TeddLi/Further-manually-annotated-glockner
https://github.com/Tencent/TurboTransformers
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/TheNeuromancer/SentEmb
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/TheophileBlard/french-sentiment-analysis-with-bert
FlauBERT: Unsupervised Language Model Pre-training for French
https://github.com/ThilinaRajapakse/simpletransformers
Supervised Multimodal Bitransformers for Classifying Images and Text
https://github.com/TidalPaladin/neural-summarizer
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/TieDanCuihua/A-STRUCTURED-SELF-ATTENTIVE-SENTENCE-EMBEDDING
https://github.com/TieDanCuihua/Bilateral-Multi-Perspective-Matching-for-Natural-Language-Sentences
Bilateral Multi-Perspective Matching for Natural Language Sentences
https://github.com/Tikquuss/meta_XLM
https://github.com/Tony4469/laser-agir
Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond
https://github.com/TonyX19/bert_hyperpartisan
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/UKPLab/acl2020-confidence-regularization
Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.