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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/fraunhoferivi/ssp
공식 코드https://github.com/ftvalentini/embeddingsbiasfrequency
공식 코드The Undesirable Dependence on Frequency of Gender Bias Metrics Based on Word Embeddings
https://github.com/ftvalentini/embeddingsfrequency
공식 코드Investigating the Frequency Distortion of Word Embeddings and Its Impact on Bias Metrics
https://github.com/galgreshler/Catch-A-Waveform
공식 코드Catch-A-Waveform: Learning to Generate Audio from a Single Short Example
https://github.com/galprz/simqa
공식 코드https://github.com/ganeshjawahar/fine-tweet
공식 코드https://github.com/gaopengcuhk/ballad
공식 코드A Simple Long-Tailed Recognition Baseline via Vision-Language Model
https://github.com/gbouritsas/cvpr18_multimodal_weakly_supervised_learning
공식 코드Multimodal Visual Concept Learning with Weakly Supervised Techniques
https://github.com/georgestein/galaxy_search
공식 코드Self-supervised similarity search for large scientific datasets
https://github.com/gerulata/slovakbert
공식 코드https://github.com/gingasan/adversarialsa
공식 코드https://github.com/gingl/earn
공식 코드Entity-enhanced Adaptive Reconstruction Network for Weakly Supervised Referring Expression Grounding
https://github.com/google-research-datasets/paws
공식 코드PAWS-X: A Cross-lingual Adversarial Dataset for Paraphrase Identification
https://github.com/google-research/ALBERT
공식 코드ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
https://github.com/google-research/bert
공식 코드BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/google-research/bigbird
공식 코드https://github.com/google-research/google-research
공식 코드https://github.com/gowitheflow-1998/pixel-linguist
공식 코드https://github.com/gsk-ai/rambla
공식 코드RAmBLA: A Framework for Evaluating the Reliability of LLMs as Assistants in the Biomedical Domain
https://github.com/gucioopielka/saliency-semantic-rsa
공식 코드Saliency Suppressed, Semantics Surfaced: Visual Transformations in Neural Networks and the Brain
https://github.com/guotong1988/Semantic-Tree-Search
공식 코드Revisiting Semantic Representation and Tree Search for Similar Question Retrieval
https://github.com/guxiao0822/lt-ds
공식 코드Tackling Long-Tailed Category Distribution Under Domain Shifts
https://github.com/gwohlgen/thai_word_similarity
공식 코드Word Similarity Datasets for Thai: Construction and Evaluation
https://github.com/halvani/constituent-treelib
공식 코드Weakly-supervised Audio Separation via Bi-modal Semantic Similarity
https://github.com/hannahxchen/balanced-adversarial-training
공식 코드Balanced Adversarial Training: Balancing Tradeoffs between Fickleness and Obstinacy in NLP Models
https://github.com/hanqi-qi/tokenuni
공식 코드Addressing Token Uniformity in Transformers via Singular Value Transformation
https://github.com/hbrouwer/dfs-tools
공식 코드https://github.com/heavenhellchen/recse
공식 코드reCSE: Portable Reshaping Features for Sentence Embedding in Self-supervised Contrastive Learning
https://github.com/heidelberg-nlp/cckg
공식 코드https://github.com/heyunh2015/PARADE_dataset
공식 코드PARADE: A New Dataset for Paraphrase Identification Requiring Computer Science Domain Knowledge
https://github.com/hhc1997/l2rm
공식 코드Learning to Rematch Mismatched Pairs for Robust Cross-Modal Retrieval
https://github.com/hirl-team/hirl
공식 코드HIRL: A General Framework for Hierarchical Image Representation Learning
https://github.com/hitvoice/RE2
공식 코드Simple and Effective Text Matching with Richer Alignment Features
https://github.com/hku-medai/wsi-hgnn
공식 코드Histopathology Whole Slide Image Analysis with Heterogeneous Graph Representation Learning
https://github.com/hpicgs/topic-models-and-dimensionality-reduction-sensitivity-study
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.