https://github.com/eric11eca/NeuralLog
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
The main objective Semantic Similarity is to measure the distance between the semantic meanings of a pair of words, phrases, sentences, or documents. For example, the word “car” is more similar to “bus” than it is to “cat”. The two main approaches to measuring Semantic Similarity are knowledge-based approaches and corpus-based, distributional methods.
Source: Visual and Semantic Knowledge Transfer for Large Scale Semi-supervised Object Detection
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
SemRel2024: A Collection of Semantic Textual Relatedness Datasets for 13 Languages
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Class-relation Knowledge Distillation for Novel Class Discovery
Generating More Interesting Responses in Neural Conversation Models with Distributional Constraints
CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark
Self-supervised similarity search for large scientific datasets
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Crisscrossed Captions: Extended Intramodal and Intermodal Semantic Similarity Judgments for MS-COCO
Portuguese Word Embeddings: Evaluating on Word Analogies and Natural Language Tasks
Portuguese Word Embeddings: Evaluating on Word Analogies and Natural Language Tasks
A Semantic-based Method for Unsupervised Commonsense Question Answering
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Tackling Distribution Shifts in Task-Oriented Communication with Information Bottleneck
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
A Bilingual Generative Transformer for Semantic Sentence Embedding
Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks
Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks
Generating Natural Language Attacks in a Hard Label Black Box Setting
Large-Scale Multi-Domain Belief Tracking with Knowledge Sharing
Real-World Image Variation by Aligning Diffusion Inversion Chain
Demystifying and Extracting Fault-indicating Information from Logs for Failure Diagnosis
Beyond BLEU: Training Neural Machine Translation with Semantic Similarity
A Bilingual Generative Transformer for Semantic Sentence Embedding
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.