https://github.com/EiraZhang/LACO
공식 코드Enhancing Label Correlation Feedback in Multi-Label Text Classification via Multi-Task Learning
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Multi-Label Text Classification
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According to Wikipedia "In machine learning, multi-label classification and the strongly related problem of multi-output classification are variants of the classification problem where multiple labels may be assigned to each instance. Multi-label classification is a generalization of multiclass classification, which is the single-label problem of categorizing instances into precisely one of more than two classes; in the multi-label problem there is no constraint on how many of the classes the instance can be assigned to."
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Extreme-classification/ECLARE
공식 코드ECLARE: Extreme Classification with Label Graph Correlations
https://github.com/Francesco-Sovrano/Deep-Learning-Based-Multi-Label-Text-Classification-of-UNGA-Resolutions
공식 코드Deep Learning Based Multi-Label Text Classification of UNGA Resolutions
https://github.com/HX-idiot/Hybrid_Attention_XML
공식 코드Label-aware Document Representation via Hybrid Attention for Extreme Multi-Label Text Classification
https://github.com/HeoTaksung/Document-to-Sequence-BERT
공식 코드Medical Code Prediction from Discharge Summary: Document to Sequence BERT using Sequence Attention
https://github.com/Kaylee0501/X-MLClass
공식 코드Open-world Multi-label Text Classification with Extremely Weak Supervision
https://github.com/MedChaabane/deepRAM
공식 코드https://github.com/Moradnejad/Bert-Based-Tag-Recommendation
공식 코드Tag Recommendation for Online Q&A Communities based on BERT Pre-Training Technique
https://github.com/OctoberChang/X-Transformer
공식 코드Taming Pretrained Transformers for Extreme Multi-label Text Classification
https://github.com/QwenLM/Qwen-7B
공식 코드https://github.com/RingBDStack/HE-AGCRCNN
공식 코드https://github.com/Roche/BalancedLossNLP
공식 코드Balancing Methods for Multi-label Text Classification with Long-Tailed Class Distribution
https://github.com/XinyiZ001/LA-HCN
공식 코드LA-HCN: Label-based Attention for Hierarchical Multi-label TextClassification Neural Network
https://github.com/acadTags/Explainable-Automated-Medical-Coding
공식 코드https://github.com/amzn/pecos
공식 코드Fast Multi-Resolution Transformer Fine-tuning for Extreme Multi-label Text Classification
https://github.com/andyweizhao/capsule_text_classification
공식 코드Investigating Capsule Networks with Dynamic Routing for Text Classification
https://github.com/annabechang/Propaganda_Tech_Twitter_PRC
공식 코드https://github.com/blessu/balancedlossnlp
공식 코드Balancing Methods for Multi-label Text Classification with Long-Tailed Class Distribution
https://github.com/caojie54/otseq2set
공식 코드https://github.com/cheng-li/pyramid
공식 코드Regularizing Model Complexity and Label Structure for Multi-Label Text Classification
https://github.com/coastalcph/multi-label-classification-t5
공식 코드https://github.com/dice-group/I-AID
공식 코드I-AID: Identifying Actionable Information from Disaster-related Tweets
https://github.com/drndr/multilabel-text-clf
공식 코드Are We Really Making Much Progress in Text Classification? A Comparative Review
https://github.com/eqtpartners/ptec
공식 코드Prompt Tuned Embedding Classification for Multi-Label Industry Sector Allocation
https://github.com/flohauss/xmc_htc
공식 코드https://github.com/huiyegit/APLC_XLNet
공식 코드https://github.com/huiyegit/matchxml
공식 코드MatchXML: An Efficient Text-label Matching Framework for Extreme Multi-label Text Classification
https://github.com/iliaschalkidis/lmtc-eurlex57k
공식 코드Large-Scale Multi-Label Text Classification on EU Legislation
https://github.com/jarcaandrei/tiacbm
공식 코드Task-Informed Anti-Curriculum by Masking Improves Downstream Performance on Text
https://github.com/jiehsheng/PatentBERT
공식 코드PatentBERT: Patent Classification with Fine-Tuning a pre-trained BERT Model
https://github.com/jingcheng-du/ML_Net-1
공식 코드ML-Net: multi-label classification of biomedical texts with deep neural networks
https://github.com/kk7nc/RMDL
공식 코드https://github.com/kongds/LightXML
공식 코드https://github.com/kongds/hbgl
공식 코드Exploiting Global and Local Hierarchies for Hierarchical Text Classification
https://github.com/laddie132/LW-PT
공식 코드Label-Wise Document Pre-Training for Multi-Label Text Classification
https://github.com/lancopku/SU4MLC
공식 코드Semantic-Unit-Based Dilated Convolution for Multi-Label Text Classification
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.