Papers with Code 아카이브
Natural Language Understanding
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 평가표
- 6
- 보존된 평가 기록
- 42
Natural Language Understanding is an important field of Natural Language Processing which contains various tasks such as text classification, natural language inference and story comprehension. Applications enabled by natural language understanding range from question answering to automated reasoning.
Source: Find a Reasonable Ending for Stories: Does Logic Relation Help the Story Cloze Test?
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/2024-MindSpore-1/Code2/tree/main/model-1/deberta_v2
https://github.com/2024-MindSpore-1/Code2/tree/main/model-1/electra
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators
https://github.com/2024-MindSpore-1/Code2/tree/main/model-1/gpt_neox
GPT-Neo for commonsense reasoning -- a theoretical and practical lens
https://github.com/2024-MindSpore-1/Code2/tree/main/model-1/gptj
https://github.com/2024-MindSpore-1/Code3/tree/main/scBERT
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/2miatran/Natural-Language-Processing
https://github.com/ABaldrati/MT-BERT
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/AGiannoutsos/COVID19-document-retrieval-with-BERT
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/AbhilashaRavichander/NLI_StressTest
https://github.com/AbhishekD15/Sentiment-Analysis_BERT
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/AdamStein97/Semi-Supervised-BERT-NER
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/AhmedYounes94/Semi-supervised-BERT-NER
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/AkariAsai/logic_guided_qa
PIQA: Reasoning about Physical Commonsense in Natural Language
https://github.com/AlCorreia/FABIR
https://github.com/Alihassan7726/Fine-tuning-BERT-for-semantic-sentence-pairs-classification
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/Alihassan7726/Multi-Class-classification-using-BERT-
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/Amy-1114/transformer
https://github.com/AndreiMoraru123/Neural-Machine-Translation
https://github.com/AndresPMD/Clip_CMR
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/Andrey885/Machine_translation_PyTorch
https://github.com/ArdalanM/nlp-benchmarks
https://github.com/Arthurizijar/Bert_Airport
https://github.com/ArvidWartenberg/retrosynthesis
https://github.com/ArvinZhuang/BiTAG
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/AryanShekarlaban/data2vec-pytorch
data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language
https://github.com/AssafSinger94/sigmorphon-2020-inflection
https://github.com/AtluriNikhil/Image-Captioning
https://github.com/AtmaHou/MetaDialog
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/AutomatedProgramRepair-2021/dear-auto-fix
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/Aveek-Saha/Transformer
https://github.com/BBuf/GLM
GLM: General Language Model Pretraining with Autoregressive Blank Infilling
https://github.com/BasileBron/Artificial-Intelligence-Lexical
https://github.com/Beacontownfc/rembert_paddle
Rethinking embedding coupling in pre-trained language models
https://github.com/Belval/NRTR
https://github.com/Bhavnicksm/vanilla-transformer-jax
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.