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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/QData/TextAttack
공식 코드https://github.com/QData/TextAttack-A2T
공식 코드https://github.com/QiYuan-tech/LLM-Detector
공식 코드LLM-Detector: Improving AI-Generated Chinese Text Detection with Open-Source LLM Instruction Tuning
https://github.com/Qzsl123/dcmn
공식 코드DCMN+: Dual Co-Matching Network for Multi-choice Reading Comprehension
https://github.com/RaghavendraCh/RelationExtraction_keras
공식 코드A hybrid deep learning approach for medical relation extraction
https://github.com/Receiling/UniRE
공식 코드https://github.com/Rhitabrat/youtube-comments-categorization
공식 코드Classifying YouTube Comments Based on Sentiment and Type of Sentence
https://github.com/RidongHan/RHIA-EOP
공식 코드https://github.com/RikVN/AMR
공식 코드https://github.com/RingBDStack/HabNet
공식 코드Hierarchical Bi-Directional Self-Attention Networks for Paper Review Rating Recommendation
https://github.com/RishabhMaheshwary/contextattack
공식 코드A Context Aware Approach for Generating Natural Language Attacks
https://github.com/RobertTLange/action-grammars-hrl
공식 코드Semantic RL with Action Grammars: Data-Efficient Learning of Hierarchical Task Abstractions
https://github.com/Roxot/AEVNMT
공식 코드https://github.com/Ruifeng-paper/FactExsum-coling2020
공식 코드Fact-level Extractive Summarization with Hierarchical Graph Mask on BERT
https://github.com/Ryou0634/placeholder_translation
공식 코드https://github.com/SAP-samples/acl2022-self-contrastive-decorrelation
공식 코드https://github.com/SDPRA-2021/shared-task
공식 코드Using Transformer based Ensemble Learning to classify Scientific Articles
https://github.com/SDPRA-2021/shared-task/tree/main/FideLIPI
공식 코드Using Transformer based Ensemble Learning to classify Scientific Articles
https://github.com/SJTU-lqiu/QA4IE
공식 코드QA4IE: A Question Answering based Framework for Information Extraction
https://github.com/SUDA-LA/wist
공식 코드https://github.com/SUTDNLP/LookAheadConparser
공식 코드Shift-Reduce Constituent Parsing with Neural Lookahead Features
https://github.com/Sanqiang/text_simplification
공식 코드Integrating Transformer and Paraphrase Rules for Sentence Simplification
https://github.com/SeanLee97/AnglE
공식 코드https://github.com/SenticNet/conv-emotion
공식 코드https://github.com/ShannonAI/ChineseBert
공식 코드ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin Information
https://github.com/ShannonAI/fast-knn-nmt
공식 코드https://github.com/ShannonAI/glyce
공식 코드https://github.com/SharmisthaJat/ACL2019-SimpleSentenceRepr-DNN-Brain
공식 코드Relating Simple Sentence Representations in Deep Neural Networks and the Brain
https://github.com/ShuangLI59/weakly-supervised-human-object-detection-video
공식 코드Weakly Supervised Human-Object Interaction Detection in Video via Contrastive Spatiotemporal Regions
https://github.com/ShyamSubramanian/HESM
공식 코드Hierarchical Evidence Set Modeling for Automated Fact Extraction and Verification
https://github.com/Simpleple/Verdi
공식 코드Verdi: Quality Estimation and Error Detection for Bilingual Corpora
https://github.com/Skyline-9/Shotluck-Holmes
공식 코드https://github.com/SoumyaTGhosh/structured-infinitesimal-jackknife
공식 코드https://github.com/SpeechColab/GigaSpeech
공식 코드GigaSpeech: An Evolving, Multi-domain ASR Corpus with 10,000 Hours of Transcribed Audio
https://github.com/Sreyan88/SemEval-2021-Toxic-Spans-Detection
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.