https://github.com/askaydevs/distillbert-qa
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
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/asuller/rwkv-musicgenerator
https://github.com/atharvajdhumal/Sentiment-Analysis
Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence
https://github.com/athms/learning-from-brains
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/autobotasia/vibert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/avariengien/causal-checker
https://github.com/avichaychriqui/HeBERT
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/avinashsai/BERT-Aspect
https://github.com/avinassh/kylo
Supervised Learning of Universal Sentence Representations from Natural Language Inference Data
https://github.com/avishek-018/single_notebook_projects
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/avyavkumar/few-shot-learning-notebooks
Learning to Few-Shot Learn Across Diverse Natural Language Classification Tasks
https://github.com/awalther/scibart
https://github.com/aws-samples/amazon-sagemaker-bert-pytorch
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/awslabs/mlm-scoring
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/ayeffkay/rubert-tiny
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
https://github.com/babelscape/wikineural
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/baidu/DuReader
https://github.com/baotramduong/Sentiment-Analysis-with-Deep-Learning-using-BERT
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/baotramduong/Twitter-Sentiment-Analysis-with-Deep-Learning-using-BERT
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/bayer-science-for-a-better-life/data2text-bioleaflets
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
https://github.com/bcaitech1/p2-klue-Heeseok-Jeong
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/bencrabbe/npdependency
FlauBERT: Unsupervised Language Model Pre-training for French
https://github.com/bentrevett/pytorch-sentiment-analysis
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/benywon/ChiQA
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/benywon/Chinese-GPT-2
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
https://github.com/benywon/ChineseBert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/benywon/ComQA
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/benywon/ReCO
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/benzakenelad/BitFit
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
https://github.com/bestend/tf2-bi-lstm-crf-nni
https://github.com/bfopengradient/NLP_ROBERTA
https://github.com/bfopengradient/NLP_text_summarization_apps
https://github.com/bhavitvyamalik/bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/bhuvanakundumani/SimCSE_unsupervised
https://github.com/bigcode-project/starcoder
https://github.com/bigscience-workshop/Megatron-DeepSpeed
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.