https://github.com/robinsongh381/unilm_pytorch_korean
Unified Language Model Pre-training for Natural Language Understanding and Generation
Papers with Code 아카이브
Natural Language Understanding
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 2
- 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/rohan400/PepperQA
https://github.com/rohanshad/cmr_transformer
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/rojagtap/abstractive_summarizer
https://github.com/roshaan7zafar/-MAX-Text-Sentiment-Classifier
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/rpuiggari/bert2
https://github.com/rrmenon10/ADAPET
It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners
https://github.com/rupakdas18/Research-Project-UMD-CS-5642
https://github.com/rupakdas18/SemEval-2017-Task-4-A-B-C-using-BERT
https://github.com/rupakdas18/SuperGlue-tasks-using-BERT
https://github.com/rwbfd/OpenCompetitionV2
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators
https://github.com/s-a-malik/multi-few
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/s9891326/Fine-Tuning-BERT
https://github.com/saattrupdan/scandeval
https://github.com/sagorbrur/bangla-bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/sagorbrur/codeswitch
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/sajadalipour7/persian-grapheme-to-phoneme-with-transformer
https://github.com/sajjjadayobi/CLIPfa
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/sajjjadayobi/ParsBigBird
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/salesforce/GeDi
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/salesforce/pb-ovd
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/samirsahoo007/Audio-and-Speech-Processing
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/samwisegamjeee/pytorch-transformers
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/samyakjain0112/Video-denoising_tensorflow-core-api-2.0
https://github.com/saraswat/munkhdalai-nse
https://github.com/saravanakumarjsk/BERT-collection
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/sarthaxxxxx/Attention-is-all-you-need
https://github.com/sattree/gpr_pub
Mind the GAP: A Balanced Corpus of Gendered Ambiguous Pronouns
https://github.com/satyajitghana/TSAI-DeepNLP-END2.0
https://github.com/saurabhkulkarni77/BERT_multilabel
https://github.com/saurabhnlp/bert
https://github.com/sauram/Machine-Translation-using-Attention-Model
https://github.com/sayhitosandy/Chatbot
https://github.com/sberbank-ai/ner-bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/sberbank-ai/ru-clip
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/scotthlee/injury_autocoding
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.