SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 8551–8575 of 14581 papers

TitleStatusHype
PlusEmo2Vec at SemEval-2018 Task 1: Exploiting emotion knowledge from emoji and \#hashtags—0
Using Paraphrasing and Memory-Augmented Models to Combat Data Sparsity in Question Interpretation with a Virtual Patient Dialogue System—0
LightRel at SemEval-2018 Task 7: Lightweight and Fast Relation Classification—0
SSN MLRG1 at SemEval-2018 Task 1: Emotion and Sentiment Intensity Detection Using Rule Based Feature Selection—0
Using Hedge Detection to Improve Committed Belief Tagging—0
Predicting Human Metaphor Paraphrase Judgments with Deep Neural Networks—0
Multi-Cell Detection and Classification Using a Generative Convolutional Model—0
Syntactically Aware Neural Architectures for Definition Extraction—0
SemEval-2018 Task 1: Affect in Tweets—0
PointGrid: A Deep Network for 3D Shape UnderstandingCode0
SINAI at SemEval-2018 Task 1: Emotion Recognition in Tweets—0
Mutux at SemEval-2018 Task 1: Exploring Impacts of Context Information On Emotion Detection—0
\#NonDicevoSulSerio at SemEval-2018 Task 3: Exploiting Emojis and Affective Content for Irony Detection in English Tweets—0
CLEAR: Cumulative LEARning for One-Shot One-Class Image Recognition—0
Geometry-Aware Scene Text Detection With Instance Transformation Network—0
Erase or Fill? Deep Joint Recurrent Rain Removal and Reconstruction in Videos—0
A Memory-Sensitive Classification Model of Errors in Early Second Language Learning—0
IRCMS at SemEval-2018 Task 7 : Evaluating a basic CNN Method and Traditional Pipeline Method for Relation Classification—0
Coding Kendall's Shape Trajectories for 3D Action Recognition—0
Corpus Creation and Emotion Prediction for Hindi-English Code-Mixed Social Media Text—0
Classification-Driven Dynamic Image Enhancement—0
IronyMagnet at SemEval-2018 Task 3: A Siamese network for Irony detection in Social media—0
AffecThor at SemEval-2018 Task 1: A cross-linguistic approach to sentiment intensity quantification in tweets—0
Analyzing Filters Toward Efficient ConvNet—0
Gated Multi-Task Network for Text Classification—0
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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