https://github.com/xitianxiaofeixue/BERT
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Papers with Code 아카이브
Semantic Textual Similarity
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 2
- 평가표
- 13
- 보존된 평가 기록
- 280
Semantic textual similarity deals with determining how similar two pieces of texts are. This can take the form of assigning a score from 1 to 5. Related tasks are paraphrase or duplicate identification.
Image source: Learning Semantic Textual Similarity from Conversations
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/xiuyu0000/new_papers_codes/tree/main/bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/xiuyu0000/new_papers_codes/tree/main/t5
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
https://github.com/xiuyu0000/tutorials/tree/main/bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/xlang-ai/instructor-embedding
One Embedder, Any Task: Instruction-Finetuned Text Embeddings
https://github.com/xuanqing94/FLOATER
Learning to Encode Position for Transformer with Continuous Dynamical Model
https://github.com/xuetianci/pacit
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
https://github.com/xuzhezhaozhao/bert_reading
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/xycforgithub/MultiTask-MRC
Multi-Task Deep Neural Networks for Natural Language Understanding
https://github.com/yahah100/text_summarization
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
https://github.com/yangyucheng000/Paper-4/tree/main/MED_MindSpore
https://github.com/yangyucheng000/University/tree/main/model-1/nystromformer
Nyströmformer: A Nyström-Based Algorithm for Approximating Self-Attention
https://github.com/yangyucheng000/University/tree/main/model-2/ernie
ERNIE: Enhanced Representation through Knowledge Integration
https://github.com/yangyucheng000/University/tree/main/model-2/fnet
https://github.com/yangyucheng000/University/tree/main/model-3/roberta
https://github.com/yangyucheng000/University/tree/main/model-3/squeezebert
SqueezeBERT: What can computer vision teach NLP about efficient neural networks?
https://github.com/yangyucheng000/ascend_albert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/yangyucheng000/bert_Ascend
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/yangyucheng000/bert_GPU
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/yanzhitech/bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/yaushian/msimcse
https://github.com/yifding/hetseq
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/yipingnus/scratchplot-story-generation
https://github.com/yiyc-kor/bert-study
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/yizhongw/tk-instruct
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
https://github.com/yjiangcm/dcpcse
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
https://github.com/yli-z/ml4h_are_clinical_t5_models_better_for_clinical_text
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
https://github.com/ymcui/LAMB_Optimizer_TF
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/yoshitomo-matsubara/torchdistill
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/ypeleg/MinimalIsAllYouNeed
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/yuelinan/c3vg
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/yuhangT/tf_bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/yur7nd/ptss
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
https://github.com/yxzwang/normalized-information-payload
Nyströmformer: A Nyström-Based Algorithm for Approximating Self-Attention
https://github.com/yydai/bert_test
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/zaaztt/bert_chinese_example
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.