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/lanwuwei/SPM_toolkit
공식 코드https://github.com/lasigeBioTM/ChemRecSys
공식 코드https://github.com/lavanyats/iMATCH
공식 코드IISCNLP at SemEval-2016 Task 2: Interpretable STS with ILP based Multiple Chunk Aligner
https://github.com/lhaof/pgt
공식 코드Prompt-based Grouping Transformer for Nucleus Detection and Classification
https://github.com/li-xirong/sea
공식 코드SEA: Sentence Encoder Assembly for Video Retrieval by Textual Queries
https://github.com/liangyuxin42/weighted-removal
공식 코드Learning to Remove: Towards Isotropic Pre-trained BERT Embedding
https://github.com/lifestrugglee/privacy-synthetic-generation
공식 코드https://github.com/lifu-tu/Study-NLP-Robustness
공식 코드An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language Models
https://github.com/lighteternal/farfetched_nlp
공식 코드https://github.com/lijiabei-7/rivrl
공식 코드Reading-strategy Inspired Visual Representation Learning for Text-to-Video Retrieval
https://github.com/linhd-postdata/lyricsim
공식 코드LyricSIM: A novel Dataset and Benchmark for Similarity Detection in Spanish Song LyricS
https://github.com/lipingyi/fedssa
공식 코드https://github.com/littleredxh/HardNegative
공식 코드https://github.com/liutianlin0121/contSentEmbed
공식 코드Continual Learning for Sentence Representations Using Conceptors
https://github.com/liuxu77/stgcl
공식 코드When Do Contrastive Learning Signals Help Spatio-Temporal Graph Forecasting?
https://github.com/liuyyy111/AVSE
공식 코드Asymmetric Visual Semantic Embedding Framework for Efficient Vision-Language Alignment
https://github.com/lmbxmu/mycode
공식 코드https://github.com/ltgoslo/definition_modeling
공식 코드https://github.com/luisoala/non-iid-ssdl
공식 코드https://github.com/lujunru/napss
공식 코드https://github.com/lukun199/semanticrl
공식 코드Reinforcement Learning-powered Semantic Communication via Semantic Similarity
https://github.com/lupantech/rvqa
공식 코드R-VQA: Learning Visual Relation Facts with Semantic Attention for Visual Question Answering
https://github.com/macleginn/semantic-subspaces-code
공식 코드https://github.com/maiiabocharova/vacancysbert
공식 코드https://github.com/mainlp/dialect-BLI
공식 코드Low-resource Bilingual Dialect Lexicon Induction with Large Language Models
https://github.com/malajikuai/tdsgl
공식 코드Topology-aware Debiased Self-supervised Graph Learning for Recommendation
https://github.com/manishb89/interpretable_sentence_similarity
공식 코드Logic Constrained Pointer Networks for Interpretable Textual Similarity
https://github.com/marco-digio/twitter4sse
공식 코드https://github.com/martiansideofthemoon/relic-retrieval
공식 코드https://github.com/matthewfl/nlp-entity-convnet
공식 코드Capturing Semantic Similarity for Entity Linking with Convolutional Neural Networks
https://github.com/mattroos/null_class_adversarial_defense
공식 코드https://github.com/maxxu05/relcon
공식 코드RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data
https://github.com/mayug/0-shot-llm-vision
공식 코드Do Vision and Language Encoders Represent the World Similarly?
https://github.com/meddjilani/fashionrecommender
공식 코드Trend-Aware Fashion Recommendation with Visual Segmentation and Semantic Similarity
https://github.com/megagonlabs/emu
공식 코드Emu: Enhancing Multilingual Sentence Embeddings with Semantic Specialization
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.