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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Bollegala/jointreps
공식 코드Joint Word Representation Learning using a Corpus and a Semantic Lexicon
https://github.com/BorealisAI/BMI
공식 코드Better Long-Range Dependency By Bootstrapping A Mutual Information Regularizer
https://github.com/BorealisAI/cross_domain_coherence
공식 코드https://github.com/CCIIPLab/BiSyn_GAT_plus
공식 코드BiSyn-GAT+: Bi-Syntax Aware Graph Attention Network for Aspect-based Sentiment Analysis
https://github.com/CLUEbenchmark/CLUE
공식 코드https://github.com/CLUEbenchmark/FewCLUE
공식 코드https://github.com/CLUEbenchmark/OCNLI
공식 코드https://github.com/CQCL/qnlp_lorenz_etal_2021_resources
공식 코드QNLP in Practice: Running Compositional Models of Meaning on a Quantum Computer
https://github.com/CR-Gjx/LeakGAN
공식 코드Long Text Generation via Adversarial Training with Leaked Information
https://github.com/CSC2548/text2image2textGAN
공식 코드Text-to-Image-to-Text Translation using Cycle Consistent Adversarial Networks
https://github.com/CUHK-ARISE/AEON
공식 코드https://github.com/CambridgeNLIP/verification-real-world-info-needs
공식 코드https://github.com/Cartus/AGGCN_TACRED
공식 코드Attention Guided Graph Convolutional Networks for Relation Extraction
https://github.com/Chen-Wang-CUHK/Training-Free-and-Ref-Free-Summ-Evaluation
공식 코드https://github.com/ChenRocks/fast_abs_rl
공식 코드Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting
https://github.com/Chriskuei/GERE
공식 코드https://github.com/ChunchuanLv/AMR_AS_GRAPH_PREDICTION
공식 코드https://github.com/ChunchuanLv/Iterative_Inference
공식 코드https://github.com/ClaudiuCreanga/semeval-2024-task-8
공식 코드Transformer based neural networks for emotion recognition in conversations
https://github.com/ClovaAI/ClovaCall
공식 코드https://github.com/CogComp/MultiOpEd
공식 코드https://github.com/CogComp/QuASE
공식 코드https://github.com/CongSun-dlut/CPI_extraction
공식 코드https://github.com/CooDL/NestedTermExtraction
공식 코드https://github.com/CrowdTruth/FrameDisambiguation
공식 코드https://github.com/CrowdTruth/Open-Domain-Relation-Extraction
공식 코드Crowdsourcing Semantic Label Propagation in Relation Classification
https://github.com/DAI-Lab/fibber
공식 코드https://github.com/DCSaunders/tagged-gender-coref
공식 코드Neural Machine Translation Doesn't Translate Gender Coreference Right Unless You Make It
https://github.com/DFKI-NLP/REval
공식 코드Probing Linguistic Features of Sentence-Level Representations in Neural Relation Extraction
https://github.com/DFKI-NLP/RelEx
공식 코드Probing Linguistic Features of Sentence-Level Representations in Neural Relation Extraction
https://github.com/DFKI-NLP/lrv
공식 코드Layerwise Relevance Visualization in Convolutional Text Graph Classifiers
https://github.com/DISL-Lab/FineSurE
공식 코드https://github.com/DS3Lab/multilingual-gaze
공식 코드https://github.com/DUT-lujunyu/Debias
공식 코드https://github.com/DabiriAghdam/SimMark
공식 코드SimMark: A Robust Sentence-Level Similarity-Based Watermarking Algorithm for Large Language Models
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.