https://github.com/franknb/Text-Summarization
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
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.
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Adaptation of Deep Bidirectional Multilingual Transformers for Russian Language
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Supervised Learning of Universal Sentence Representations from Natural Language Inference Data
ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs
Bilateral Multi-Perspective Matching for Natural Language Sentences
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
A Statistical Framework for Low-bitwidth Training of Deep Neural Networks
Multi-Task Deep Neural Networks for Natural Language Understanding
data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language
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
Self-supervised similarity search for large scientific datasets
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
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Crisscrossed Captions: Extended Intramodal and Intermodal Semantic Similarity Judgments for MS-COCO
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Bilateral Multi-Perspective Matching for Natural Language Sentences
TinyBERT: Distilling BERT for Natural Language Understanding
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
XLNet: Generalized Autoregressive Pretraining for Language Understanding
Portuguese Word Embeddings: Evaluating on Word Analogies and Natural Language Tasks
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.