https://github.com/joongbo/tta
공식 코드Fast and Accurate Deep Bidirectional Language Representations for Unsupervised Learning
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.
Fast and Accurate Deep Bidirectional Language Representations for Unsupervised Learning
Automatic Design of Semantic Similarity Ensembles Using Grammatical Evolution
Context-Aware Semantic Similarity Measurement for Unsupervised Word Sense Disambiguation
Self-Supervised Speech Representations are More Phonetic than Semantic
Similarity Contrastive Estimation for Self-Supervised Soft Contrastive Learning
Demystifying and Extracting Fault-indicating Information from Logs for Failure Diagnosis
Using Semantic Similarity for Input Topic Identification in Crawling-based Web Application Testing
Concept-Level Explainability for Auditing & Steering LLM Responses
One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning
KorNLI and KorSTS: New Benchmark Datasets for Korean Natural Language Understanding
Neural sentence embedding models for semantic similarity estimation in the biomedical domain
SAMScore: A Content Structural Similarity Metric for Image Translation Evaluation
Sentence Embedding Models for Ancient Greek Using Multilingual Knowledge Distillation
Class-relation Knowledge Distillation for Novel Class Discovery
FOCUS: Effective Embedding Initialization for Monolingual Specialization of Multilingual Models
Eval-GCSC: A New Metric for Evaluating ChatGPT's Performance in Chinese Spelling Correction
GSTran: Joint Geometric and Semantic Coherence for Point Cloud Segmentation
Improving Sentence Embeddings with Automatic Generation of Training Data Using Few-shot Examples
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.