Papers Multi Class Text Classification
“Multi Class Text Classification” 태그가 달린 논문 19편 · 필터 해제
Let the Fuzzy Rule Speak: Enhancing In-context Learning Debiasing with Interpretability
One of the potential failures of large language models (LLMs) is their imbalanced class performances in text classification tasks. With in-context learning (ICL), LLMs yields good accuracy for some classes but low accura…
In-Context LearningMulti Class Text Classificationtext-classificationText ClassificationAISPACE at SemEval-2024 task 8: A Class-balanced Soft-voting System for Detecting Multi-generator Machine-generated Text
SemEval-2024 Task 8 provides a challenge to detect human-written and machine-generated text. There are 3 subtasks for different detection scenarios. This paper proposes a system that mainly deals with Subtask B. It aims …
DecoderLanguage ModelingLanguage ModellingLarge Language Model+3IndiText Boost: Text Augmentation for Low Resource India Languages
Text Augmentation is an important task for low-resource languages. It helps deal with the problem of data scarcity. A data augmentation strategy is used to deal with the problem of data scarcity. Through the years, much …
Data AugmentationMulti Class Text ClassificationText Augmentationtext-classification+2On the Interplay between Fairness and Explainability
In order to build reliable and trustworthy NLP applications, models need to be both fair across different demographics and explainable. Usually these two objectives, fairness and explainability, are optimized and/or exam…
FairnessMulti Class Text Classificationtext-classificationText ClassificationOptimizing Multi-Class Text Classification: A Diverse Stacking Ensemble Framework Utilizing Transformers
Customer reviews play a crucial role in assessing customer satisfaction, gathering feedback, and driving improvements for businesses. Analyzing these reviews provides valuable insights into customer sentiments, including…
ClassificationMulti Class Text Classificationtext-classificationText ClassificationEstimating class separability of text embeddings with persistent homology
This paper introduces an unsupervised method to estimate the class separability of text datasets from a topological point of view. Using persistent homology, we demonstrate how tracking the evolution of embedding manifol…
Language ModellingMulti Class Text ClassificationSentencetext-classification+2Artificial Interrogation for Attributing Language Models
This paper presents solutions to the Machine Learning Model Attribution challenge (MLMAC) collectively organized by MITRE, Microsoft, Schmidt-Futures, Robust-Intelligence, Lincoln-Network, and Huggingface community. The …
Machine TranslationMulti Class Text Classificationtext-classificationText Classification+1A Machine Learning Approach to Classifying Construction Cost Documents into the International Construction Measurement Standard
We introduce the first automated models for classifying natural language descriptions provided in cost documents called "Bills of Quantities" (BoQs) popular in the infrastructure construction industry, into the Internati…
DescriptiveMulti Class Text Classificationtext-classificationText ClassificationEntropy optimized semi-supervised decomposed vector-quantized variational autoencoder model based on transfer learning for multiclass text classification and generation
Semisupervised text classification has become a major focus of research over the past few years. Hitherto, most of the research has been based on supervised learning, but its main drawback is the unavailability of labele…
DecoderMulti Class Text ClassificationQuantizationtext-classification+3Multi-class Text Classification using BERT-based Active Learning
Text Classification finds interesting applications in the pickup and delivery services industry where customers require one or more items to be picked up from a location and delivered to a certain destination. Classifyin…
Active LearningClassificationGeneral ClassificationMulti Class Text Classification+3Balancing via Generation for Multi-Class Text Classification Improvement
Data balancing is a known technique for improving the performance of classification tasks. In this work we define a novel balancing-viageneration framework termed BalaGen. BalaGen consists of a flexible balancing policy …
ClassificationMulti Class Text Classificationtext-classificationText Classification+1A Hybrid Classification Approach using Topic Modeling and Graph Convolution Networks
Text classification has become a key operation in various natural language processing tasks. The efficiency of most classification algorithms predominantly confide in the quality of input features. In this work, we propo…
ClassificationGeneral ClassificationMulti Class Text ClassificationText ClassificationA Comparison of Synthetic Oversampling Methods for Multi-class Text Classification
The authors compared oversampling methods for the problem of multi-class topic classification. The SMOTE algorithm underlies one of the most popular oversampling methods. It consists in choosing two examples of a minorit…
ClassificationGeneral ClassificationMulti Class Text Classificationtext-classification+2Training with reduced precision of a support vector machine model for text classification
This paper presents the impact of using quantization on the efficiency of multi-class text classification in the training process of a support vector machine (SVM). This work is focused on comparing the efficiency of SVM…
CPUGeneral ClassificationGPUMulti Class Text Classification+3Evaluating Transformer-Based Multilingual Text Classification
As NLP tools become ubiquitous in today's technological landscape, they are increasingly applied to languages with a variety of typological structures. However, NLP research does not focus primarily on typological differ…
ClassificationGeneral ClassificationLanguage ModelingLanguage Modelling+4Adversarial Multi-Binary Neural Network for Multi-class Classification
Multi-class text classification is one of the key problems in machine learning and natural language processing. Emerging neural networks deal with the problem using a multi-output softmax layer and achieve substantial pr…
ClassificationGeneral ClassificationMulti-class ClassificationMulti Class Text Classification+2Seq2Emo for Multi-label Emotion Classification Based on Latent Variable Chains Transformation
Emotion detection in text is an important task in NLP and is essential in many applications. Most of the existing methods treat this task as a problem of single-label multi-class text classification. To predict multiple …
Emotion ClassificationGeneral ClassificationMulti Class Text ClassificationMulti-Label Classification+3Large Scale Product Categorization using Structured and Unstructured Attributes
Product categorization using text data for eCommerce is a very challenging extreme classification problem with several thousands of classes and several millions of products to classify. Even though multi-class text class…
AttributeGeneral ClassificationMulti Class Text ClassificationProduct Categorization+2Explicit Interaction Model towards Text Classification
Text classification is one of the fundamental tasks in natural language processing. Recently, deep neural networks have achieved promising performance in the text classification task compared to shallow models. Despite o…
ClassificationGeneral ClassificationmodelMulti Class Text Classification+3