https://github.com/ai-secure/adversarial-glue
Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models
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/airsplay/vimpac
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/aisingapore/SEA-HELM
BHASA: A Holistic Southeast Asian Linguistic and Cultural Evaluation Suite for Large Language Models
https://github.com/aisingapore/sealion
BHASA: A Holistic Southeast Asian Linguistic and Cultural Evaluation Suite for Large Language Models
https://github.com/ajayjain/vectorascent
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/akanyaani/minGPTF
https://github.com/akashe/Python-Code-Generation
https://github.com/aleksac99/SQuAD-SR
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/alexis-jacq/Pytorch-ChatBot
https://github.com/algharak/BERTenhance
https://github.com/alibaba-damo-academy/FunASR
https://github.com/alibaba-damo-academy/spokennlp
https://github.com/alibaba/EasyNLP/tree/master/examples/fewshot_learning
https://github.com/alibabasglab/frcrn
https://github.com/alililia/ms_contrib/tree/main/ascend_transformer
https://github.com/alililia/ms_contrib/tree/main/gpu_transformer
https://github.com/alimpiev/embeddings_persistent_homology
https://github.com/amauriciorr/AubreyBot
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/amazon-science/intent-aware-encoder
Benchmarking Natural Language Understanding Services for building Conversational Agents
https://github.com/amazon-science/multiatis
End-to-End Slot Alignment and Recognition for Cross-Lingual NLU
https://github.com/ambityga/memsem
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/andi611/Mockingjay-Speech-Representation
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/andrewyng/translation-agent
How to Design Translation Prompts for ChatGPT: An Empirical Study
https://github.com/anhinga/JuliaCon2021-poster
https://github.com/anhtu293/transformer_from_scratch
https://github.com/anirudharc/transformer
https://github.com/anishnarkar/experiments_deeplearning_models
https://github.com/ankurbhatia24/MULTIMODAL-EMOTION-RECOGNITION
https://github.com/antoinecollas/transformer_neural_machine_translation
https://github.com/anton-bushuiev/ppiformer
https://github.com/anupamsingh610/bert_ner_stride
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/anuscode/nrms
https://github.com/anzeyimana/kinyabert-acl2022
https://github.com/appcoreopc/berty
https://github.com/apple/ml-mobileclip
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/arampacha/reformer_fastai
AutoTrans: Automating Transformer Design via Reinforced Architecture Search
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.