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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://github.com/maximilianmozes/human_adversaries
공식 코드Contrasting Human- and Machine-Generated Word-Level Adversarial Examples for Text Classification
https://github.com/maxwellyaoni/pace
공식 코드PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularization
https://github.com/mbouadeus/news-headline-event-linking
공식 코드An Evaluation Framework for Mapping News Headlines to Event Classes in a Knowledge Graph
https://github.com/mchen24/iclr2017
공식 코드Efficient Vector Representation for Documents through Corruption
https://github.com/mecai2022/short_text_classification
공식 코드Multi-level Product Category Prediction through Text Classification
https://github.com/meetelise/surprise-similarity
공식 코드https://github.com/megagonlabs/nlp4hr-survey
공식 코드https://github.com/megagonlabs/ruler
공식 코드Data Programming by Demonstration: A Framework for Interactively Learning Labeling Functions
https://github.com/megagonlabs/tagruler
공식 코드TagRuler: Interactive Tool for Span-Level Data Programming by Demonstration
https://github.com/mfayoub/FOIA-Test-Collection
공식 코드https://github.com/miaomiaoli2/ruleprompt
공식 코드https://github.com/michael-wzhu/PromptCBLUE
공식 코드PromptCBLUE: A Chinese Prompt Tuning Benchmark for the Medical Domain
https://github.com/michalspiegel/imgtb
공식 코드KInIT at SemEval-2024 Task 8: Fine-tuned LLMs for Multilingual Machine-Generated Text Detection
https://github.com/michelle123lam/lloom
공식 코드Concept Induction: Analyzing Unstructured Text with High-Level Concepts Using LLooM
https://github.com/michiyasunaga/LinkBERT
공식 코드https://github.com/microsoft/ASTRA
공식 코드https://github.com/microsoft/Multilingual-Model-Transfer
공식 코드Multi-Source Cross-Lingual Model Transfer: Learning What to Share
https://github.com/microsoft/ProphetNet
공식 코드CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing
https://github.com/microsoft/augmented-interpretable-models
공식 코드https://github.com/microsoft/biogpt
공식 코드BioGPT: Generative Pre-trained Transformer for Biomedical Text Generation and Mining
https://github.com/microsoft/mlc
공식 코드https://github.com/microsoft/muzic/tree/main/musicbert
공식 코드MusicBERT: Symbolic Music Understanding with Large-Scale Pre-Training
https://github.com/microsoft/scglab
공식 코드https://github.com/microsoft/seqsnn
공식 코드Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators
https://github.com/midas-research/video-persuasion
공식 코드A Video Is Worth 4096 Tokens: Verbalize Videos To Understand Them In Zero Shot
https://github.com/mikecovlee/mLoRA
공식 코드MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts
https://github.com/mind-Lab/octis
공식 코드https://github.com/mindspore-lab/mindone
공식 코드Multiscale Positive-Unlabeled Detection of AI-Generated Texts
https://github.com/mingruiliu-ml-lab/accelerated-bilevel-optimization-unbounded-smoothness
공식 코드An Accelerated Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness
https://github.com/mingruiliu-ml-lab/bilevel-optimization-under-unbounded-smoothness
공식 코드Bilevel Optimization under Unbounded Smoothness: A New Algorithm and Convergence Analysis
https://github.com/mingxuanxia/candist
공식 코드Prompt Candidates, then Distill: A Teacher-Student Framework for LLM-driven Data Annotation
https://github.com/mingzelucasni/ce-attack
공식 코드Cross-Entropy Attacks to Language Models via Rare Event Simulation
https://github.com/minicheshire/robust-prefix-tuning
공식 코드https://github.com/mintisan/awesome-kan
공식 코드FourierKAN outperforms MLP on Text Classification Head Fine-tuning
https://github.com/mirzaalimm/truncationvssummarization
공식 코드Investigating Text Shortening Strategy in BERT: Truncation vs Summarization
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