Papers with Code 아카이브
Natural Language Understanding
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 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/MindSpore-scientific/code-11/tree/main/Least_Generative
Leveraging Pre-trained Checkpoints for Sequence Generation Tasks
https://github.com/MindSpore-scientific/code-11/tree/main/Translation-Invariant/model
https://github.com/MindSpore-scientific/code-3/tree/main/contextual-learning
https://github.com/MindSpore-scientific/code-7/tree/main/bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/MindSpore-scientific/code-8/tree/main/Translation-Invariant/model
https://github.com/MirunaPislar/multi-head-attention-labeller
https://github.com/Misoknisky/Bert-MultiGpu
https://github.com/MiuGod0126/ConvS2S_Paddle
https://github.com/MiuLab/SlotGated-SLU
https://github.com/MohamedAbdelsalam9/TT-Transformer
https://github.com/NLP-Discourse-SoochowU/t2d_discourseparser
A Top-Down Neural Architecture towards Text-Level Parsing of Discourse Rhetorical Structure
https://github.com/NVIDIA/sentiment-discovery
https://github.com/NYU-DICE-Lab/open_clip
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/Nadhila/Explainble-AI
Hate Speech Detection on Vietnamese Social Media Text using the Bi-GRU-LSTM-CNN Model
https://github.com/NehaTamore/TextSimilarity
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/Neoanarika/torchexplainer
https://github.com/Nilanshrajput/Intent_classification
https://github.com/Nimesh-Patel/BERT
https://github.com/Nstats/bert_MRC
https://github.com/Nstats/bert_senti_analysis_ch
https://github.com/Nstats/my_bert
https://github.com/OML-Team/open-metric-learning
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/OPAYA/Transformer
https://github.com/Osobarako/alduswarrensewell
https://github.com/OweysMomenzada/Evergreen-Content-Classifier-for-german-Text
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/Paarth3098/chatbot_p
https://github.com/PaddlePaddle/ERNIE
https://github.com/PaddlePaddle/PASSL/blob/main/docs/Train_CLIP_model.md
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/PaddlePaddle/PaddleNLP
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/PaddlePaddle/PaddleNLP/blob/develop/paddlenlp/transformers/nezha/modeling.py
NEZHA: Neural Contextualized Representation for Chinese Language Understanding
https://github.com/PaddlePaddle/PaddleNLP/tree/develop/examples/few_shot/p-tuning
https://github.com/PaddlePaddle/PaddleNLP/tree/develop/examples/language_model/rembert
Rethinking embedding coupling in pre-trained language models
https://github.com/PaddlePaddle/PaddleNLP/tree/develop/examples/lexical_analysis
https://github.com/PaddlePaddle/PaddleNLP/tree/develop/examples/machine_translation/transformer
https://github.com/PaddlePaddle/PaddleNLP/tree/develop/model_zoo/electra
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.