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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/UKPLab/elmo-bilstm-cnn-crf
공식 코드https://github.com/UKPLab/emnlp2020-faithful-rationales
공식 코드Why do you think that? Exploring Faithful Sentence-Level Rationales Without Supervision
https://github.com/UKPLab/fever-2018-team-athene
공식 코드UKP-Athene: Multi-Sentence Textual Entailment for Claim Verification
https://github.com/UKPLab/naacl2019-like-humans-visual-attacks
공식 코드Text Processing Like Humans Do: Visually Attacking and Shielding NLP Systems
https://github.com/UKPLab/sentence-transformers
공식 코드Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
https://github.com/UVa-NLP/GMASK
공식 코드Explaining Neural Network Predictions on Sentence Pairs via Learning Word-Group Masks
https://github.com/Unbabel/COMET
공식 코드CometKiwi: IST-Unbabel 2022 Submission for the Quality Estimation Shared Task
https://github.com/Unbabel/OpenKiwi
공식 코드https://github.com/Vaibhavs10/anli-performance-prediction
공식 코드Embarrassingly Simple Performance Prediction for Abductive Natural Language Inference
https://github.com/ValentinaPy/QADiscourse
공식 코드QADiscourse -- Discourse Relations as QA Pairs: Representation, Crowdsourcing and Baselines
https://github.com/Varyn/Neural-Speed-Reading-with-Structural-Jump-LSTM
공식 코드https://github.com/VegB/Text_Infilling
공식 코드https://github.com/VictorProkhorov/HSVAE
공식 코드https://github.com/VinceFior/major-system
공식 코드https://github.com/VisionLearningGroup/Text-to-Clip_Retrieval
공식 코드Multilevel Language and Vision Integration for Text-to-Clip Retrieval
https://github.com/W4ngatang/sent-bias
공식 코드https://github.com/WanzhengZhu/Euphemism
공식 코드Self-Supervised Euphemism Detection and Identification for Content Moderation
https://github.com/WayneChen2021/Triggers-Data
공식 코드https://github.com/Websail-NU/AQuA
공식 코드CODAH: An Adversarially Authored Question-Answer Dataset for Common Sense
https://github.com/WingsBrokenAngel/MSR-VTT-DataCleaning
공식 코드https://github.com/WingsBrokenAngel/Semantics-AssistedVideoCaptioning
공식 코드A Semantics-Assisted Video Captioning Model Trained with Scheduled Sampling
https://github.com/WingsBrokenAngel/delving-deeper-into-the-decoder-for-video-captioning
공식 코드https://github.com/WinnieHAN/structure_adv
공식 코드Adversarial Attack and Defense of Structured Prediction Models
https://github.com/WoodenWhite/Centrality_Pre_Summ
공식 코드Exploring Explainable Selection to Control Abstractive Summarization
https://github.com/X7J92/VGNet
공식 코드https://github.com/XL2248/CPCC
공식 코드Modeling Bilingual Conversational Characteristics for Neural Chat Translation
https://github.com/XL2248/DREGCN
공식 코드https://github.com/XiPotatonium/pnr
공식 코드Propose-and-Refine: A Two-Stage Set Prediction Network for Nested Named Entity Recognition
https://github.com/XiaZeng0223/sciverbinary
공식 코드QMUL-SDS at SCIVER: Step-by-Step Binary Classification for Scientific Claim Verification
https://github.com/XingxingZhang/dense_parser
공식 코드https://github.com/XingxingZhang/td-treelstm
공식 코드https://github.com/XinnuoXu/AggGen
공식 코드https://github.com/XueFuzhao/GDPNet
공식 코드GDPNet: Refining Latent Multi-View Graph for Relation Extraction
https://github.com/XuezheMax/NeuroNLP2
공식 코드https://github.com/XuhuiZhou/CDA
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.