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/kingcheng2000/bert
https://github.com/kingcong/gpu_albert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/kingcong/models/tree/main/bert
NEZHA: Neural Contextualized Representation for Chinese Language Understanding
https://github.com/kinimod23/NMT_Project
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/kiyoungkim1/LMkor
Leveraging Pre-trained Checkpoints for Sequence Generation Tasks
https://github.com/klemens-floege/oneprot
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/kmz4/QHACK2021
https://github.com/knotgrass/attention/blob/main/attn/attention.py
https://github.com/knuddj1/op_text
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/knuddy/op_text
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/ko-nlp/Korpora
KorNLI and KorSTS: New Benchmark Datasets for Korean Natural Language Understanding
https://github.com/kobowon/cs470_project_version2
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/kohakublueleaf/lycoris
https://github.com/kohjingyu/search-agents
https://github.com/kolloldas/torchnlp
https://github.com/kotu931226/classifier_transformer_pytorch
https://github.com/koustuvsinha/clutrr
CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text
https://github.com/koustuvsinha/clutrr-baselines
CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text
https://github.com/koustuvsinha/clutrr-workshop
CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text
https://github.com/kpe/bert-for-tf2
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/kpot/keras-transformer
https://github.com/krantirk/BERT-Pretrained-model
https://github.com/kriesbeck/masked-language-prediction
https://github.com/krocki/np-transformer
https://github.com/ky1994/SpeechRecognition
https://github.com/kynkaat/role-of-imagenet-classes-in-fid
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/kyubyong/bert_ner
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/kyzhouhzau/BERT-NER
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/labmlai/annotated_deep_learning_paper_implementations
https://github.com/lackel/hierarchical_weighted_scl
Benchmarking Natural Language Understanding Services for building Conversational Agents
https://github.com/lackel/sdc
Benchmarking Natural Language Understanding Services for building Conversational Agents
https://github.com/lamp-benchmark/lamp
https://github.com/lastmile-ai/aiconfig
https://github.com/lbneon/research
LICHEE: Improving Language Model Pre-training with Multi-grained Tokenization
https://github.com/lcs2-iiitd/emotion-flip-reasoning
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.