Papers with Code 아카이브

Text Classification

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

하위 태스크: 16
평가표: 101
보존된 평가 기록: 341

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>

논문

이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.

Text Classification

논문

Making Language Model a Hierarchical Classifier and Generator

NonverbalTTS: A Public English Corpus of Text-Aligned Nonverbal Vocalizations with Emotion Annotations for Text-to-Speech

GNN-CNN: An Efficient Hybrid Model of Convolutional and Graph Neural Networks for Text Representation

Robustness of Misinformation Classification Systems to Adversarial Examples Through BeamAttack

The Trilemma of Truth in Large Language Models

Perspectives in Play: A Multi-Perspective Approach for More Inclusive NLP Systems

Narrative Shift Detection: A Hybrid Approach of Dynamic Topic Models and Large Language Models

Can Generated Images Serve as a Viable Modality for Text-Centric Multimodal Learning?

SHREC and PHEONA: Using Large Language Models to Advance Next-Generation Computational Phenotyping

Flick: Few Labels Text Classification using K-Aware Intermediate Learning in Multi-Task Low-Resource Languages

mSTEB: Massively Multilingual Evaluation of LLMs on Speech and Text Tasks

MultiMatch: Multihead Consistency Regularization Matching for Semi-Supervised Text Classification

TokenBreak: Bypassing Text Classification Models Through Token Manipulation

Prompt Candidates, then Distill: A Teacher-Student Framework for LLM-driven Data Annotation

Hierarchical Text Classification Using Contrastive Learning Informed Path Guided Hierarchy

MMAFFBen: A Multilingual and Multimodal Affective Analysis Benchmark for Evaluating LLMs and VLMs

EmoBench-UA: A Benchmark Dataset for Emotion Detection in Ukrainian

What About Emotions? Guiding Fine-Grained Emotion Extraction from Mobile App Reviews

Leveraging GANs for citation intent classification and its impact on citation network analysis

Emotion Classification In-Context in Spanish

Climate-Eval: A Comprehensive Benchmark for NLP Tasks Related to Climate Change

Large Language Models in the Task of Automatic Validation of Text Classifier Predictions

Do BERT-Like Bidirectional Models Still Perform Better on Text Classification in the Era of LLMs?

University of Indonesia at SemEval-2025 Task 11: Evaluating State-of-the-Art Encoders for Multi-Label Emotion Detection

Constrained Non-negative Matrix Factorization for Guided Topic Modeling of Minority Topics

AppealCase: A Dataset and Benchmark for Civil Case Appeal Scenarios

Incremental Sequence Classification with Temporal Consistency

The Super Emotion Dataset

Large Language Models as Computable Approximations to Solomonoff Induction

Small Language Models in the Real World: Insights from Industrial Text Classification

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations

HausaNLP: Current Status, Challenges and Future Directions for Hausa Natural Language Processing

PRL: Prompts from Reinforcement Learning

Guarded Query Routing for Large Language Models

EmoGist: Efficient In-Context Learning for Visual Emotion Understanding

KO: Kinetics-inspired Neural Optimizer with PDE Simulation Approaches