https://github.com/puredefence/advbench4text
공식 코드Tougher Text, Smarter Models: Raising the Bar for Adversarial Defence Benchmarks
Papers with Code 아카이브
Paraphrase Identification
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 11
- 보존된 평가 기록
- 44
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/pytorch/fairseq/tree/main/examples/data2vec
공식 코드data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language
https://github.com/rabeehk/compacter
공식 코드Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning
https://github.com/rohitrai11/application-specific-compression-of-deep-learning-models
공식 코드https://github.com/thunlp/ERNIE
공식 코드ERNIE: Enhanced Language Representation with Informative Entities
https://github.com/tomhosking/separator
공식 코드Factorising Meaning and Form for Intent-Preserving Paraphrasing
https://github.com/ukplab/pytorch-bertflow
공식 코드https://github.com/vishwajit-vishnu/memory-efficient-stochastic-methods-for-memory-based-transformers
공식 코드Memory-efficient Stochastic methods for Memory-based Transformers
https://github.com/xsc1234/match-prompt
공식 코드https://github.com/yifeizhou02/generalized_paraphrase_identification
공식 코드GAPX: Generalized Autoregressive Paraphrase-Identification X
https://github.com/yinwenpeng/Answer_Selection
공식 코드ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs
https://github.com/ymgw55/WSMD
공식 코드Improving word mover's distance by leveraging self-attention matrix
https://github.com/yoosan/sentpair
공식 코드Modelling Sentence Pairs with Tree-structured Attentive Encoder
https://github.com/yukiar/TransferFT
공식 코드https://github.com/zihangdai/xlnet
공식 코드XLNet: Generalized Autoregressive Pretraining for Language Understanding
https://github.com/zurichnlp/nmtscore
공식 코드NMTScore: A Multilingual Analysis of Translation-based Text Similarity Measures
https://github.com/1wy/bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/2023-MindSpore-1/ms-code-11
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/2023-MindSpore-1/ms-code-12
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/2023-MindSpore-1/ms-code-150
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/2023-MindSpore-1/ms-code-166
TinyBERT: Distilling BERT for Natural Language Understanding
https://github.com/2023-MindSpore-1/ms-code-56
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/2023-MindSpore-4/Code12/tree/main/MindFormers/bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/2024-MindSpore-1/Code2/tree/main/model-1/data2vec
data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language
https://github.com/2024-MindSpore-1/Code2/tree/main/model-1/fnet
https://github.com/2024-MindSpore-1/Code3/tree/main/scBERT
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/2miatran/Natural-Language-Processing
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/ABaldrati/MT-BERT
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/AGiannoutsos/COVID19-document-retrieval-with-BERT
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/AbhishekD15/Sentiment-Analysis_BERT
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/AdamStein97/Semi-Supervised-BERT-NER
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/AhmedYounes94/Semi-supervised-BERT-NER
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/Alihassan7726/Fine-tuning-BERT-for-semantic-sentence-pairs-classification
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/Alihassan7726/Multi-Class-classification-using-BERT-
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/Arthurizijar/Bert_Airport
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/ArvinZhuang/BiTAG
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.