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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
SAPA: Similarity-Aware Point Affiliation for Feature Upsampling
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
XLNet: Generalized Autoregressive Pretraining for Language Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
SemEval-2017 Task 1: Semantic Textual Similarity - Multilingual and Cross-lingual Focused Evaluation
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Semantic Similarity Based on Corpus Statistics and Lexical Taxonomy
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Don't Settle for Average, Go for the Max: Fuzzy Sets and Max-Pooled Word Vectors
Bilateral Multi-Perspective Matching for Natural Language Sentences
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
SEINE: Short-to-Long Video Diffusion Model for Generative Transition and Prediction
ERNIE: Enhanced Representation through Knowledge Integration
AlignScore: Evaluating Factual Consistency with a Unified Alignment Function
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.