https://github.com/najafmurtaza/Developing-Machine-Learning-Models-in-Flask
Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning
Papers with Code 아카이브
Paraphrase Identification
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 평가표
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- 보존된 평가 기록
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The goal of Paraphrase Identification is to determine whether a pair of sentences have the same meaning.
Source: Adversarial Examples with Difficult Common Words for Paraphrase Identification
Image source: On Paraphrase Identification Corpora
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/nalbarr/coursera-ai4med-course3
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/nerdimite/bert-finetuning-webinar
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/nicholasbao/nlp_job
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/nicolashernandez/readi-lrec22
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/nmfisher/bert-modified
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/noelkelias/multitok
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/noise-learning/selfmix
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/nyk510/scdv-python
Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms
https://github.com/octanove/grammartagger
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/okanvk/ENELPI---Soru-Cevap-Sistemi
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/okanvk/Turkish-Reading-Comprehension-Question-Answering-Dataset
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/om00839/machine-suneung
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/overfitter/biobert_embedding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/owainwest/uniprot_bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/paolanu/BERT_epitope
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/pauldevos/python-notes
XLNet: Generalized Autoregressive Pretraining for Language Understanding
https://github.com/pengming617/bert_classification
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/pengshuyuan/Bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/pfecht/bert-exploration
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/phohenecker/pytorch-transformer
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/phueb/BabyBertSRL
Multi-Task Deep Neural Networks for Natural Language Understanding
https://github.com/phueb/CHILDES-SRL
Multi-Task Deep Neural Networks for Natural Language Understanding
https://github.com/piegu/language-models
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/pingheng001/Cnn-Bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/pisalore/roberta_results
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/polzinben/TensorFlow_NLP
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/ps2811/Bert-Multi-Label-Text-Classification-GitVersion
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/pwc-1/Paper-10/tree/main/tinybert
TinyBERT: Distilling BERT for Natural Language Understanding
https://github.com/pwc-1/Paper-9/tree/main/1/tinybert
TinyBERT: Distilling BERT for Natural Language Understanding
https://github.com/pwc-1/Paper-9/tree/main/1/xlnet
XLNet: Generalized Autoregressive Pretraining for Language Understanding
https://github.com/pwc-1/Paper-9/tree/main/5/xlnet
XLNet: Generalized Autoregressive Pretraining for Language Understanding
https://github.com/pytorch/text
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/qbxlvnf11/BERT
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/qbxlvnf11/contextualized-embedding-BERT
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/qbxlvnf11/pretrained-language-model-BERT
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.