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Semantic Textual Similarity
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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
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/IBM/Retrieval-Enhanced-Transformer-Little
공식 코드https://github.com/IntelLabs/academic-budget-bert
공식 코드https://github.com/KB-Ding/Multi-stage-Distillaton-Framework
공식 코드Multi-stage Distillation Framework for Cross-Lingual Semantic Similarity Matching
https://github.com/KLUE-benchmark/KLUE
공식 코드https://github.com/LIN-SHANG/InstructERC
공식 코드https://github.com/Ledengary/COPER
공식 코드COPER: a Query-adaptable Semantics-based Search Engine for Persian COVID-19 Articles
https://github.com/LinQinLiang/SSAH-adversarial-attack
공식 코드Frequency-driven Imperceptible Adversarial Attack on Semantic Similarity
https://github.com/LittleGuoKe/ConceptFERE
공식 코드https://github.com/Lolo1222/EquivPruner
공식 코드EquivPruner: Boosting Efficiency and Quality in LLM-Based Search via Action Pruning
https://github.com/MI2DataLab/nlp_interpretability_framework
공식 코드Are you tough enough? Framework for Robustness Validation of Machine Comprehension Systems
https://github.com/MICV-yonsei/EAGLE
공식 코드EAGLE: Eigen Aggregation Learning for Object-Centric Unsupervised Semantic Segmentation
https://github.com/Maluuba/gensen
공식 코드Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning
https://github.com/McGill-NLP/latent-translation
공식 코드https://github.com/Mercidaiha/IRT-Router
공식 코드IRT-Router: Effective and Interpretable Multi-LLM Routing via Item Response Theory
https://github.com/Mikexu007/PCRP
공식 코드Prototypical Contrast and Reverse Prediction: Unsupervised Skeleton Based Action Recognition
https://github.com/NervanaSystems/nlp-architect/blob/master/nlp_architect/models/transformers/quantized_bert.py
공식 코드https://github.com/PStarH/RWKV-embedding
공식 코드https://github.com/PaddlePaddle/ERNIE
공식 코드ERNIE 2.0: A Continual Pre-training Framework for Language Understanding
https://github.com/PaddlePaddle/PaddleNLP/tree/develop/model_zoo/ernie-1.0
공식 코드ERNIE: Enhanced Representation through Knowledge Integration
https://github.com/PolymathicAI/AstroCLIP
공식 코드https://github.com/PortNLP/semantic-similarity
공식 코드Estimating Semantic Similarity between In-Domain and Out-of-Domain Samples
https://github.com/Qidian213/Ranked_Person_ReID
공식 코드Ranking and Classification driven Feature Learning for Person Re_identification
https://github.com/QingtaoPan/DuSSS
공식 코드https://github.com/QingyongHu/SQN
공식 코드SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds
https://github.com/R2MED/R2MED
공식 코드https://github.com/RakdosCC/CCRV
공식 코드Cross-Lingual Cross-Platform Rumor Verification Pivoting on Multimedia Content
https://github.com/Reza-esfandiarpoor/pseudo-shots
공식 코드Extended Few-Shot Learning: Exploiting Existing Resources for Novel Tasks
https://github.com/RishabhMaheshwary/hard-label-attack
공식 코드Generating Natural Language Attacks in a Hard Label Black Box Setting
https://github.com/RujingYao/LSIM
공식 코드https://github.com/SeanLee97/AnglE
공식 코드https://github.com/SeqDM/Efficient-Embeddings
공식 코드Repurposing Language Models into Embedding Models: Finding the Compute-Optimal Recipe
https://github.com/SerhadS/TechNet
공식 코드https://github.com/ShannonAI/Self_Explaining_Structures_Improve_NLP_Models
공식 코드https://github.com/ShannonAI/dice_loss_for_NLP
공식 코드https://github.com/ShannonAI/glyce
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.