https://bitbucket.org/aswathyve/unifieddeceptioncorpus
공식 코드UNIDECOR: A Unified Deception Corpus for Cross-Corpus Deception Detection
Papers with Code 아카이브
Deception Detection
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://bitbucket.org/bopjesvla/thesis
공식 코드The Mafiascum Dataset: A Large Text Corpus for Deception Detection
https://github.com/4qlaa7/Multimodal_Deception_Detection
공식 코드Advancing Automated Deception Detection: A Multimodal Approach to Feature Extraction and Analysis
https://github.com/MahatKC/CanLiesBeFaked
공식 코드https://github.com/bachzz/dws-pbbn
공식 코드https://github.com/chicagohai/hypothesis-generation
공식 코드Literature Meets Data: A Synergistic Approach to Hypothesis Generation
https://github.com/michigannlp/multilingual_reviews_deception
공식 코드MAiDE-up: Multilingual Deception Detection of GPT-generated Hotel Reviews
https://github.com/nms05/audio-visual-deception-detection-dolos-dataset-and-parameter-efficient-crossmodal-learning
공식 코드Audio-Visual Deception Detection: DOLOS Dataset and Parameter-Efficient Crossmodal Learning
https://github.com/siddhu001/evaluating-explanations
공식 코드Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model Explanations
https://github.com/ExploringLies/lies-have-short-legs
"Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection
https://github.com/JelenaBanjac/AppliedDataAnalysis
"Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection
https://github.com/JelenaBanjac/lies-have-short-legs
"Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection
https://github.com/SindhuMadi/FakeNewsDetection
"Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection
https://github.com/bedarkarpriyanka/NLP-Project-Fake-News-Detection
"Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection
https://github.com/cai-cong/MER25_personality
MDPE: A Multimodal Deception Dataset with Personality and Emotional Characteristics
https://github.com/chicagohai/hypoeval-gen
Literature Meets Data: A Synergistic Approach to Hypothesis Generation
https://github.com/chicagohai/hypothesis_generation
Literature Meets Data: A Synergistic Approach to Hypothesis Generation
https://github.com/ekagra-ranjan/fake-news-detection-LIAR-pytorch
"Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection
https://github.com/kiranrawat/Detecting-Fake-News-On-Social-Media
"Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection
https://github.com/manideep2510/siamese-BERT-fake-news-detection-LIAR
"Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection
https://github.com/mansoor9743/Fake-News-Detection
"Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection
https://github.com/mikanikos/ADA_Project
"Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection
https://github.com/siddarthhari95/NLP-Fake-News_detection
"Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.