https://github.com/somiltg/bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
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
- 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/somiltg/xquad
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/sonalisrijan/Deep-Learning-based-Defect-Prediction-Model-for-Source-Code
https://github.com/sonlam1102/vihsd
A Large-scale Dataset for Hate Speech Detection on Vietnamese Social Media Texts
https://github.com/sonos/nlu-benchmark
https://github.com/sonos/svc-demographic-bias-assessment
https://github.com/sonrisa07/transformer
https://github.com/sooftware/Attention-Implementation
https://github.com/sooftware/attentions
https://github.com/sooftware/nlp-attentions
https://github.com/soumik12345/transformer.pytorch
https://github.com/soutsios/pos-tagger-bert-tensorflow
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/souvikshanku/translit-former
https://github.com/stanfordnlp/dsp
https://github.com/stareru/csqa_debertav3
https://github.com/stefan-it/europeana-bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/stefan-it/historic-ner
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/stevinc/Transformer_Timeseries
https://github.com/studio-ousia/luke
https://github.com/subhamdas226/Chatbot
https://github.com/sunyilgdx/prompts4keras
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/sunzeyeah/rlhf
https://github.com/surancy/nlp-classification-with-BERT
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/suzgunmirac/meta-prompting
https://github.com/svakulenk0/response_eval
https://github.com/swimmingCreative/DeepSpeechRecognition-master
https://github.com/switchsyj/adae2ml-xsf
https://github.com/sxjscience/GluonNLP-Slot-Filling
https://github.com/sydney-machine-learning/sentimentanalysis-uselections
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/synapse-developpement/Discovery
DisSent: Sentence Representation Learning from Explicit Discourse Relations
https://github.com/t080/pytorch-translm
Efficient Adaptation of Pretrained Transformers for Abstractive Summarization
https://github.com/taited/clip-score
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/tally0818/DARTS
https://github.com/tally0818/NASNet
https://github.com/tamsiuhin/oppu
https://github.com/tanjeffreyz/attention-is-all-you-need
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.