https://github.com/meelfy/pytorch_pretrained_bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
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/meghu2791/DeepLearningModels
Bilateral Multi-Perspective Matching for Natural Language Sentences
https://github.com/meizi1114/bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/menajosep/AleatoricSent
Supervised Learning of Universal Sentence Representations from Natural Language Inference Data
https://github.com/mhaseeb123/DeepMSim
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/microsoft/MT-DNN
https://github.com/mim-solutions/bert_for_longer_texts
https://github.com/mim-solutions/roberta_for_longer_texts
https://github.com/mindspore-ai/models/tree/master/official/nlp/bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/mindspore-ai/models/tree/master/official/nlp/bert_thor
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/mindspore-ai/models/tree/master/official/nlp/q8bert
https://github.com/mindspore-ai/models/tree/master/official/nlp/tinybert
TinyBERT: Distilling BERT for Natural Language Understanding
https://github.com/mindspore-courses/ABSA-MindSpore
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/mindspore-courses/d2l-mindspore/tree/master/chapter_14_natural_language_processing_pretraining
SqueezeBERT: What can computer vision teach NLP about efficient neural networks?
https://github.com/mindspore-lab/mindnlp/blob/master/mindnlp/models/albert/albert.py
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
https://github.com/mindspore-lab/mindnlp/blob/master/mindnlp/models/bert/bert.py
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/mirbostani/QA-KD-AL
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/mithunpaul08/bert_tensorflow
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/mkavim/finetune_bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/mocherson/aki_bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/mohamedateya/bert-fine-tuning-sentence-classification-for-cola
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/monologg/distilkobert
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
https://github.com/monologg/kobigbird
https://github.com/msorkhpar/wiki-entity-summarization-preprocessor
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
https://github.com/mthcom/hscore-dataset-pruning
https://github.com/mtzcorporations/nlp_teamjodka
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/musixmatchresearch/umberto
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/myamamoto555/tf-bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/nachiketaa/BERT-pytorch
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/nachiketaa/bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/nageshsinghc4/deepwrap
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/najafmurtaza/Developing-Machine-Learning-Models-in-Flask
Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning
https://github.com/nalbarr/coursera-ai4med-course3
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/natasha/navec
https://github.com/nathanshartmann/portuguese_word_embeddings
Portuguese Word Embeddings: Evaluating on Word Analogies and Natural Language Tasks
https://github.com/ncbi-nlp/BioSentVec
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.