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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://bitbucket.org/luisespinosa/seven
공식 코드SeVeN: Augmenting Word Embeddings with Unsupervised Relation Vectors
https://bitbucket.org/tsendeemts/nse
공식 코드https://bitbucket.org/tsendeemts/nti
공식 코드https://github.com/1KE-JI/HierVerb
공식 코드Hierarchical Verbalizer for Few-Shot Hierarchical Text Classification
https://github.com/1pha/paperswithtopic
공식 코드https://github.com/3mcloud/MDACE
공식 코드https://github.com/4ai/ls-llama
공식 코드https://github.com/4ldk/SubRegWeigh
공식 코드SubRegWeigh: Effective and Efficient Annotation Weighing with Subword Regularization
https://github.com/AFAgarap/gru-svm
공식 코드https://github.com/AKC23/Harnessing-LLMs-over-transformer-models-for-detecting-Bengali-depressive-text-A-comprehensive-study
공식 코드https://github.com/Adaxry/Depth-Adaptive-GRN
공식 코드Depth-Adaptive Graph Recurrent Network for Text Classification
https://github.com/AdrianArnaiz/fair-shap
공식 코드Towards Algorithmic Fairness by means of Instance-level Data Re-weighting based on Shapley Values
https://github.com/AlexMoreo/funnelling
공식 코드https://github.com/AlexMoreo/learning-to-weight
공식 코드https://github.com/AlexMoreo/pydci
공식 코드Revisiting Distributional Correspondence Indexing: A Python Reimplementation and New Experiments
https://github.com/AlexMoreo/word-class-embeddings
공식 코드https://github.com/AmrMehasseb/Embeddings-finetuning
공식 코드https://github.com/Andrews2017/KINNEWS-and-KIRNEWS-Corpus
공식 코드KINNEWS and KIRNEWS: Benchmarking Cross-Lingual Text Classification for Kinyarwanda and Kirundi
https://github.com/AndriyMulyar/bert_document_classification
공식 코드https://github.com/AnneBeyer/coherencegym
공식 코드Is Incoherence Surprising? Targeted Evaluation of Coherence Prediction from Language Models
https://github.com/AnonymousCSResearcher/STEMdocClassEntityExplainability
공식 코드Towards Explaining STEM Document Classification using Mathematical Entity Linking
https://github.com/ArtemVazh/token_mahalanobis_distance
공식 코드https://github.com/BDBC-KG-NLP/AAAI2022_ContrastNet
공식 코드ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification
https://github.com/BDBC-KG-NLP/AAAI2023_AWD
공식 코드Adversarial Word Dilution as Text Data Augmentation in Low-Resource Regime
https://github.com/BFGPU/BFGPU
공식 코드Micro Text Classification Based on Balanced Positive-Unlabeled Learning
https://github.com/BIT-ENGD/codeclassprompt
공식 코드https://github.com/Bearisbug/Bi-Elman
공식 코드https://github.com/BoChenGroup/SawETM
공식 코드Sawtooth Factorial Topic Embeddings Guided Gamma Belief Network
https://github.com/BoulderDS/feature-importance
공식 코드https://github.com/CLUEbenchmark/CLUE
공식 코드https://github.com/CQCL/qnlp_lorenz_etal_2021_resources
공식 코드QNLP in Practice: Running Compositional Models of Meaning on a Quantum Computer
https://github.com/CZFuChason/JPS-daprinfo
공식 코드JPS-daprinfo: A Dataset for Japanese Dialog Act Analysis and People-related Information Detection
https://github.com/CZFuChason/SeMemNN
공식 코드SeMemNN: A Semantic Matrix-Based Memory Neural Network for Text Classification
https://github.com/CalumPerrio/WNUT-2020
공식 코드https://github.com/ChengyueGongR/FrequencyAgnostic
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.