https://github.com/PaddlePaddle/PaddleNLP/tree/develop/paddlenlp/transformers/convbert
ConvBERT: Improving BERT with Span-based Dynamic Convolution
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/PaddlePaddle/PaddleNLP/tree/develop/paddlenlp/transformers/tinybert
TinyBERT: Distilling BERT for Natural Language Understanding
https://github.com/PaddlePaddle/PaddleSpeech
https://github.com/PaddlePaddle/models
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/Pezhin/best_yelp_review_project_ever
https://github.com/Polly42Rose/SiriusIntentPredictionSlotFilling
https://github.com/PolyAI-LDN/polyai-models
Benchmarking Natural Language Understanding Services for building Conversational Agents
https://github.com/PrideLee/sentiment-analysis
https://github.com/Priyanshiguptaaa/CoLA_Sentence_Classification_BERT
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/Priyanshiguptaaa/Intent_Recognition_BERT
https://github.com/ProsusAI/finBERT
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/QData/TextAttack/blob/master/textattack/transformations/sentence_transformations/back_transcription.py
https://github.com/Qordobacode/fitbert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/R1j1t/contextualSpellCheck
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/Raman-Raje/Machine-Reading-Comprehension-Neural-Question-Answer-
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/Rami97rgb/French-to-English-Translator
https://github.com/RamonKaspar/MathPrompter
MathPrompter: Mathematical Reasoning using Large Language Models
https://github.com/RasaHQ/rasa
Benchmarking Natural Language Understanding Services for building Conversational Agents
https://github.com/Remiphilius/PoemesProfonds
https://github.com/RenXiangyuan/tf_bert
https://github.com/RezisEwig/unity_speech
https://github.com/RikVN/Neural_DRS
https://github.com/Rishabbh-Sahu/intent_and_slot_classification
https://github.com/RonRaifer/BERT-Ghazali
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/Rudedaisy/attention-is-all-you-need-pytorch
https://github.com/RussianNLP/MOROCCO
RussianSuperGLUE: A Russian Language Understanding Evaluation Benchmark
https://github.com/RxstydnR/Stock_BERT
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/SAP-samples/acl2019-commonsense
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/SAP-samples/acl2019-commonsense-reasoning
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/SAP-samples/acl2020-commonsense
https://github.com/SCismycat/bert_code_view
https://github.com/SPEECHCOG/data2vec_maiju
data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language
https://github.com/SYangDong/bert-with-frozen-code
https://github.com/Sanyuan-Chen/RecAdam
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/SasCezar/XWikiRE
WikiReading: A Novel Large-scale Language Understanding Task over Wikipedia
https://github.com/Satan012/BERT
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.