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
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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/scut-bds/example_repo_from_scutbds
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/semal/bert
https://github.com/semicontinuity/nlp
https://github.com/seominseok0429/inception-I3D-NON-LOCAL
https://github.com/seunghwan1228/Transfomer-MachineTranslation
https://github.com/sh951011/Attention-Implementation
https://github.com/shahrukhsf/Chatbot
https://github.com/shahrukhx01/ocr-test
https://github.com/shaikhzhas/bert
https://github.com/shao-chi/ImageCaption
https://github.com/shark-nlp/openicl
https://github.com/sherinaseri/bert
https://github.com/shibhansh/Unsupervised-SAS
https://github.com/shimisalant/RaSoR
Learning Recurrent Span Representations for Extractive Question Answering
https://github.com/shivammehta25/clip
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/shkarupa-alex/tfclip
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/shouvikcirca/Transformer
https://github.com/shouvikcirca/Transformer_MiniProject
https://github.com/shreyash8/English_to_Hindi_NMT
https://github.com/shreyashankar/gpt3-sandbox
https://github.com/shuaishuaij/Machine-Translation
https://github.com/shunk031/simple-aesthetics-predictor
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/shyam-skk/Parallel_CNN_Transfromer
https://github.com/simonjisu/annotated-transformer-kr
https://github.com/sincerass/mvlpt
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/siramatu/brigade-visualizer
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/sithu31296/simple-object-tracking
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/sjyttkl/Transformer_learning
https://github.com/skoltech-nlp/rudetoxifier
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/sl-93/SUPERVISED-CONTRASTIVE-LEARNING-FOR-PRE-TRAINED-LANGUAGE-MODEL-FINE-TUNING
Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning
https://github.com/sleepthroughdifficulties/kernelwhitening
https://github.com/smallbenchnlp/ELECTRA-DeBERTa
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators
https://github.com/smallbenchnlp/benchmark
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
https://github.com/smarton-empower/smarton-ai
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/socc-io/piqaboo
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.