https://github.com/ChrisIsKing/black-box-multi-agent-integation
공식 코드One Agent To Rule Them All: Towards Multi-agent Conversational AI
Papers with Code 아카이브
Text Classification
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Text Classification is the task of assigning a sentence or document an appropriate category. The categories depend on the chosen dataset and can range from topics.
Text Classification problems include emotion classification, news classification, citation intent classification, among others. Benchmark datasets for evaluating text classification capabilities include GLUE, AGNews, among others.
In recent years, deep learning techniques like XLNet and RoBERTa have attained some of the biggest performance jumps for text classification problems.
<span style="color:grey; opacity: 0.6">( Image credit: Text Classification Algorithms: A Survey )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/ClaudiuCreanga/semeval-2024-task-8
공식 코드Transformer based neural networks for emotion recognition in conversations
https://github.com/CliffordLai/eqc
공식 코드https://github.com/ControlNet/MARLIN
공식 코드MARLIN: Masked Autoencoder for facial video Representation LearnINg
https://github.com/DAI-Lab/fibber
공식 코드https://github.com/DeepK/distance-embed
공식 코드Unsupervised Sentence-embeddings by Manifold Approximation and Projection
https://github.com/DeepLearnXMU/Cyclic
공식 코드Neural Simile Recognition with Cyclic Multitask Learning and Local Attention
https://github.com/Deloris-NLP/CRNTM
공식 코드https://github.com/DhananjayAshok/LMBehaviorEstimation
공식 코드https://github.com/DominiqueMercier/ImpactCite
공식 코드ImpactCite: An XLNet-based method for Citation Impact Analysis
https://github.com/DreamH1gh/TACL2024
공식 코드Retrieval-style In-Context Learning for Few-shot Hierarchical Text Classification
https://github.com/ETZET/SpeechEmotionAVLearning
공식 코드Learning Arousal-Valence Representation from Categorical Emotion Labels of Speech
https://github.com/EddCBen/Classifying-Textual-Data-with-pretrained-Vision-Models-through-Transfer-Learning-and-Data-Transforms
공식 코드https://github.com/EiraZhang/LACO
공식 코드Enhancing Label Correlation Feedback in Multi-Label Text Classification via Multi-Task Learning
https://github.com/EmanueleLM/MCTS
공식 코드Assessing Robustness of Text Classification through Maximal Safe Radius Computation
https://github.com/Eulring/GoSum
공식 코드https://github.com/EvanZhuang/vector-icl
공식 코드Vector-ICL: In-context Learning with Continuous Vector Representations
https://github.com/ExplorerFreda/TreeEnc
공식 코드https://github.com/Extreme-classification/ECLARE
공식 코드ECLARE: Extreme Classification with Label Graph Correlations
https://github.com/FKarl/short-text-classification
공식 코드https://github.com/Forethought-Technologies/ieee-dsmp-2018-paper
공식 코드Automated labeling of bugs and tickets using attention-based mechanisms in recurrent neural networks
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/Franck-Dernoncourt/naacl2016
공식 코드Sequential Short-Text Classification with Recurrent and Convolutional Neural Networks
https://github.com/Franck-Dernoncourt/pubmed-rct
공식 코드PubMed 200k RCT: a Dataset for Sequential Sentence Classification in Medical Abstracts
https://github.com/FudanNLP/Capsule4TextClassification
공식 코드Information Aggregation via Dynamic Routing for Sequence Encoding
https://github.com/GT-SALT/IDBR
공식 코드Continual Learning for Text Classification with Information Disentanglement Based Regularization
https://github.com/GT-SALT/MixText
공식 코드https://github.com/Gautamshahi/BilingualYouTubeHateSpeech
공식 코드Hate Speech Detection Using Cross-Platform Social Media Data In English and German Language
https://github.com/GeorgeLuImmortal/Hierarchical-BERT-Model-with-Limited-Labelled-Data
공식 코드A Sentence-level Hierarchical BERT Model for Document Classification with Limited Labelled Data
https://github.com/Gleghorn-Lab/mixture-of-experts-sentence-similarity
공식 코드Contrastive Learning and Mixture of Experts Enables Precise Vector Embeddings
https://github.com/Gorov/DiverseFewShot_Amazon
공식 코드https://github.com/H-TayyarMadabushi/Cost-Sensitive_Bert_and_Transformers
공식 코드Cost-Sensitive BERT for Generalisable Sentence Classification with Imbalanced Data
https://github.com/HC-Feynman/vpu
공식 코드A Variational Approach for Learning from Positive and Unlabeled Data
https://github.com/HKUNLP/zerogen
공식 코드ZeroGen: Efficient Zero-shot Learning via Dataset Generation
https://github.com/HKUST-KnowComp/PathPredictionForTextClassification
공식 코드Efficient Path Prediction for Semi-Supervised and Weakly Supervised Hierarchical Text Classification
https://github.com/HSE-asavchenko/face-emotion-recognition
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.