https://github.com/jonahwinninghoff/Text-Summarization
XLNet: Generalized Autoregressive Pretraining 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.
XLNet: Generalized Autoregressive Pretraining for Language Understanding
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
XLNet: Generalized Autoregressive Pretraining for Language Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Real-World Image Variation by Aligning Diffusion Inversion Chain
Demystifying and Extracting Fault-indicating Information from Logs for Failure Diagnosis
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
Supervised Learning of Universal Sentence Representations from Natural Language Inference Data
Beyond BLEU: Training Neural Machine Translation with Semantic Similarity
A Bilingual Generative Transformer for Semantic Sentence Embedding
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
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
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
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
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs
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
KorNLI and KorSTS: New Benchmark Datasets for Korean Natural Language Understanding
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.