SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 8101–8150 of 14581 papers

TitleStatusHype
Identifying Domain Independent Update Intents in Task Based Dialogs—0
Improving Classification of Twitter Behavior During Hurricane Events—0
Implicit and Explicit Aspect Extraction in Financial Microblogs—0
Comparison of Representations of Named Entities for Document Classification—0
EmotionX-SmartDubai\_NLP: Detecting User Emotions In Social Media Text—0
EmotionX-DLC: Self-Attentive BiLSTM for Detecting Sequential Emotions in Dialogues—0
Causality Analysis of Twitter Sentiments and Stock Market Returns—0
Hierarchical Convolutional Attention Networks for Text Classification—0
Economic Event Detection in Company-Specific News Text—0
CMMC-BDRC Solution to the NLP-TEA-2018 Chinese Grammatical Error Diagnosis Task—0
Detecting Offensive Tweets in Hindi-English Code-Switched Language—0
PICO Element Detection in Medical Text via Long Short-Term Memory Neural NetworksCode0
Leveraging News Sentiment to Improve Microblog Sentiment Classification in the Financial Domain—0
Multilingual Seq2seq Training with Similarity Loss for Cross-Lingual Document Classification—0
Multi-task learning for interpretable cause of death classification using key phrase prediction—0
Sentence Classification for Investment Rules Detection—0
Sentiment Analysis using Imperfect Views from Spoken Language and Acoustic Modalities—0
Semi-Supervised Learning with Auxiliary Evaluation Component for Large Scale e-Commerce Text Classification—0
Political discourse classification in social networks using context sensitive convolutional neural networks—0
Toward Cross-Domain Engagement Analysis in Medical Notes—0
Textual Deconvolution Saliency (TDS) : a deep tool box for linguistic analysis—0
What you can cram into a single \$\&!\#* vector: Probing sentence embeddings for linguistic properties—0
Rumor Detection on Twitter with Tree-structured Recursive Neural NetworksCode0
Target-Sensitive Memory Networks for Aspect Sentiment Classification—0
Searching for the X-Factor: Exploring Corpus Subjectivity for Word Embeddings—0
Two Methods for Domain Adaptation of Bilingual Tasks: Delightfully Simple and Broadly ApplicableCode0
Pretraining Sentiment Classifiers with Unlabeled Dialog Data—0
Learning How to Actively Learn: A Deep Imitation Learning ApproachCode0
Are BLEU and Meaning Representation in Opposition?—0
Illustrative Language Understanding: Large-Scale Visual Grounding with Image Search—0
A Multi-task Approach to Learning Multilingual Representations—0
DeepPavlov: Open-Source Library for Dialogue Systems—0
Cross-Domain Sentiment Classification with Target Domain Specific Information—0
Bridging CNNs, RNNs, and Weighted Finite-State Machines—0
A Helping Hand: Transfer Learning for Deep Sentiment Analysis—0
Examining Temporality in Document ClassificationCode0
Efficient Large-Scale Neural Domain Classification with Personalized Attention—0
Incorporating Latent Meanings of Morphological Compositions to Enhance Word EmbeddingsCode0
Classification of Moral Foundations in Microblog Political Discourse—0
Identifying Transferable Information Across Domains for Cross-domain Sentiment Classification—0
Autonomous Deep Learning: A Genetic DCNN Designer for Image Classification—0
Towards Adversarial Training with Moderate Performance Improvement for Neural Network Classification—0
G2C: A Generator-to-Classifier Framework Integrating Multi-Stained Visual Cues for Pathological Glomerulus Classification—0
Algorithms for solving optimization problems arising from deep neural net models: smooth problems—0
Algorithms for solving optimization problems arising from deep neural net models: nonsmooth problems—0
Classification of lung nodules in CT images based on Wasserstein distance in differential geometry—0
Fractional Wavelet Scattering Network and Applications—0
Advanced Methods for the Optical Quality Assurance of Silicon Sensors—0
Joint Learning of Domain Classification and Out-of-Domain Detection with Dynamic Class Weighting for Satisficing False Acceptance Rates—0
Topology classification with deep learning to improve real-time event selection at the LHCCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1KNNAccuracy93.1—Unverified
2RFAccuracy92.96—Unverified
3CARTAccuracy92.82—Unverified
4LDAAccuracy77.22—Unverified
#ModelMetricClaimedVerifiedStatus
1MONT3Accuracy100—Unverified
2XBNETAccuracy100—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy42—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy67.7—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy68.5—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy13.4—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy90.6—Unverified
#ModelMetricClaimedVerifiedStatus
1MONT3Accuracy100—Unverified