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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/leiboliu/xr-lat
공식 코드Automated ICD Coding using Extreme Multi-label Long Text Transformer-based Models
https://github.com/lsy3/clinical-notes-diagnosis-dl-nlp
공식 코드An Empirical Evaluation of Deep Learning for ICD-9 Code Assignment using MIMIC-III Clinical Notes
https://github.com/modr00cka/cophe
공식 코드https://github.com/msadat3/scihtc
공식 코드Hierarchical Multi-Label Classification of Scientific Documents
https://github.com/muberraozmen/bncl
공식 코드https://github.com/muberraozmen/mrmp
공식 코드Multi-relation Message Passing for Multi-label Text Classification
https://github.com/peterlau0626/semeval2023-task4-humanvalue
공식 코드https://github.com/qwenlm/qwen
공식 코드https://github.com/raduionescu/vlawe-boswe
공식 코드Vector of Locally-Aggregated Word Embeddings (VLAWE): A Novel Document-level Representation
https://github.com/rooooyy/hitin
공식 코드HiTIN: Hierarchy-aware Tree Isomorphism Network for Hierarchical Text Classification
https://github.com/sergioburdisso/pyss3
공식 코드t-SS3: a text classifier with dynamic n-grams for early risk detection over text streams
https://github.com/shjo-april/TTD
공식 코드TTD: Text-Tag Self-Distillation Enhancing Image-Text Alignment in CLIP to Alleviate Single Tag Bias
https://github.com/simonucl/HJCL
공식 코드https://github.com/sonlam1102/job-prediction-multilabel-vietnamese
공식 코드Predicting Job Titles from Job Descriptions with Multi-label Text Classification
https://github.com/soumyac1999/hyperbolic-label-emb-for-hmc
공식 코드Joint Learning of Hyperbolic Label Embeddings for Hierarchical Multi-label Classification
https://github.com/thumbe3/label-noise-nlp
공식 코드Towards Robustness to Label Noise in Text Classification via Noise Modeling
https://github.com/uva-dsa/dkec
공식 코드DKEC: Domain Knowledge Enhanced Multi-Label Classification for Diagnosis Prediction
https://github.com/varadhbhatnagar/Hostile-Post-Detection-in-Hindi
공식 코드Divide and Conquer: An Ensemble Approach for Hostile Post Detection in Hindi
https://github.com/webis-de/small-text
공식 코드Small-Text: Active Learning for Text Classification in Python
https://github.com/wq2581/gudn
공식 코드https://github.com/xiaolin1207/HTTN-master
공식 코드Does Head Label Help for Long-Tailed Multi-Label Text Classification
https://github.com/yourh/AttentionXML
공식 코드https://github.com/yuzhimanhua/MATCH
공식 코드MATCH: Metadata-Aware Text Classification in A Large Hierarchy
https://github.com/yuzhimanhua/maple
공식 코드The Effect of Metadata on Scientific Literature Tagging: A Cross-Field Cross-Model Study
https://github.com/yuzhimanhua/micol
공식 코드Metadata-Induced Contrastive Learning for Zero-Shot Multi-Label Text Classification
https://github.com/yychai74/ld-vae
공식 코드Compositional Generalization for Multi-label Text Classification: A Data-Augmentation Approach
https://github.com/zeinsh/Legal-Docs-Large-MLTC
공식 코드Zero-Shot Cross-Lingual Transfer in Legal Domain Using Transformer Models
https://github.com/AIPHES/acl19-generalization-capsule
Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications
https://github.com/EMNLP2019LSAN/LSAN
https://github.com/FelixHub/custom-LSEP-loss-function
ML-Net: multi-label classification of biomedical texts with deep neural networks
https://github.com/JerryKwon/melon_plylst_continuation
Taming Pretrained Transformers for Extreme Multi-label Text Classification
https://github.com/LiamMaclean216/Pytorch-Transfomer
Large Scale Legal Text Classification Using Transformer Models
https://github.com/NeuromorphicComputationResearchProgram/Learning-with-Holographic-Reduced-Representations
https://github.com/abhishek-924/Capsule-Network
Investigating Capsule Networks with Dynamic Routing for Text Classification
https://github.com/adrinta/MAGNET
Multi-Label Text Classification using Attention-based Graph Neural Network
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.