https://github.com/huggingface/transformers/blob/master/src/transformers/modeling_squeezebert.py
SqueezeBERT: What can computer vision teach NLP about efficient neural networks?
Papers with Code 아카이브
Semantic Textual Similarity
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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/huggingface/transformers/tree/main/src/transformers/models/data2vec
data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language
https://github.com/huggingface/xlnet
XLNet: Generalized Autoregressive Pretraining for Language Understanding
https://github.com/iabd/QuantizedNMT
https://github.com/ibm/graph_ensemble_learning
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
https://github.com/ibm/vira-intent-discovery
https://github.com/icewing1996/bert_dep
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/idanmoradarthas/text-summarization
https://github.com/idiap/analogy_learning
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
https://github.com/idiotprofessorchen/bert.github.io
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/iflytek/cino
https://github.com/ikergarcia1996/Iker-Garcia-Ferrero
A Common Semantic Space for Monolingual and Cross-Lingual Meta-Embeddings
https://github.com/ilhamfp/indonesian-text-classification-multilingual
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/imgarylai/bert-embedding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/imperialite/BERT-Embeddings-For-ARA
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
https://github.com/inmoonlight/confcrawl
A Bilingual Generative Transformer for Semantic Sentence Embedding
https://github.com/itsShnik/adaptively-finetuning-transformers
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/itspreeti25/Q-A-implementation-using-BERT-finetuned-on-multiple-datasets
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/itzprashu1/prashant
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
https://github.com/jageshmaharjan/BERT_Service
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/jaketae/fnet
https://github.com/jaketae/pytorch-malware-detection
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
https://github.com/jaketae/realformer
https://github.com/jangjoongkeon/JK
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/jastfkjg/semantic-matching
ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs
https://github.com/jean-kunz/ml_research_papers
Supervised Learning of Universal Sentence Representations from Natural Language Inference Data
https://github.com/jeongukjae/KR-BERT-SimCSE
KorNLI and KorSTS: New Benchmark Datasets for Korean Natural Language Understanding
https://github.com/jeongukjae/smaller-labse
https://github.com/jetbrains-research/commit_message_generation
https://github.com/jhl-hust/texthacker
Generating Natural Language Attacks in a Hard Label Black Box Setting
https://github.com/jinzhenfan/BERT
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/jiyuan/ainote
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/jobdataexchange/competensor
https://github.com/joelniklaus/lawinstruct
https://github.com/johnr0/TaleBrush-backend
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/jojonki/MultiWOZ-Parser
Large-Scale Multi-Domain Belief Tracking with Knowledge Sharing
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.