https://github.com/Qordobacode/fitbert
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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- 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/R1j1t/contextualSpellCheck
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/RUCAIBox/LLMBox
https://github.com/Raman-Raje/Machine-Reading-Comprehension-Neural-Question-Answer-
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/ReCAP-UTR/Argument-Graph-Retrieval
Supervised Learning of Universal Sentence Representations from Natural Language Inference Data
https://github.com/RenXiangyuan/tf_bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/Rishit-dagli/Nystromformer
Nyströmformer: A Nyström-Based Algorithm for Approximating Self-Attention
https://github.com/RonRaifer/BERT-Ghazali
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/Rudedaisy/attention-is-all-you-need-pytorch
https://github.com/RundongChou/elmo-chinese-oversimplified
https://github.com/RussianNLP/MOROCCO
RussianSuperGLUE: A Russian Language Understanding Evaluation Benchmark
https://github.com/RxstydnR/Stock_BERT
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/SAP-samples/acl2019-commonsense
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/SAP-samples/acl2019-commonsense-reasoning
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/SCismycat/bert_code_view
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/SDLZY/VCR_Align
https://github.com/SJHBXShub/Question_pair
https://github.com/SPEECHCOG/data2vec_maiju
data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language
https://github.com/SVAIGBA/TwASP
ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram Representations
https://github.com/SVAIGBA/WMSeg
ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram Representations
https://github.com/SYangDong/bert-with-frozen-code
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/SambhawDrag/XLNet.jl
XLNet: Generalized Autoregressive Pretraining for Language Understanding
https://github.com/Samyu0304/thought-propagation
https://github.com/Sanyuan-Chen/RecAdam
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/Satan012/BERT
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/SatyamSoni23/Smart-Question-Answering-System-on-Document
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/SeoroMin/transformer_pytorch
https://github.com/SeoroMin/transformer_pytorch_ver2
https://github.com/Sharif-SLPL/t5-fa
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
https://github.com/Shinya-Kouda/kgc
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/ShivamRajSharma/Transformer-Architectures-From-Scratch
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/ShuvenduBikash/transformer_spelling_corrector
https://github.com/ShyamSubramanian/HESM
Combining Fact Extraction and Verification with Neural Semantic Matching Networks
https://github.com/Sikun/dlam_project
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/SindhuMadi/FakeNewsDetection
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/SkullFang/BERT_NLP_Classification
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.