SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 8551–8600 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
Hierarchical neural model with attention mechanisms for the classification of social media text related to mental health—0
CTSys at SemEval-2018 Task 3: Irony in Tweets—0
Keep Your Bearings: Lightly-Supervised Information Extraction with Ladder Networks That Avoids Semantic Drift—0
ClaiRE at SemEval-2018 Task 7: Classification of Relations using Embeddings—0
A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset—0
Johns Hopkins or johnny-hopkins: Classifying Individuals versus Organizations on TwitterCode0
DMCB at SemEval-2018 Task 1: Transfer Learning of Sentiment Classification Using Group LSTM for Emotion Intensity prediction—0
ISCLAB at SemEval-2018 Task 1: UIR-Miner for Affect in Tweets—0
HydraNets: Specialized Dynamic Architectures for Efficient Inference—0
EPUTION at SemEval-2018 Task 2: Emoji Prediction with User Adaption—0
Comparing Automatic and Human Evaluation of Local Explanations for Text Classification—0
CENTEMENT at SemEval-2018 Task 1: Classification of Tweets using Multiple Thresholds with Self-correction and Weighted Conditional Probabilities—0
CENNLP at SemEval-2018 Task 1: Constrained Vector Space Model in Affects in Tweets—0
Domain Adaptation for MRI Organ Segmentation using Reverse Classification AccuracyCode0
Attentive Fashion Grammar Network for Fashion Landmark Detection and Clothing Category ClassificationCode0
Accurate and Efficient Similarity Search for Large Scale Face Recognition—0
Analogies in Complex Verb Meaning Shifts: the Effect of Affect in Semantic Similarity Models—0
Amrita\_student at SemEval-2018 Task 1: Distributed Representation of Social Media Text for Affects in Tweets—0
Learning Sentence Representations over Tree Structures for Target-Dependent Classification—0
CAMB at CWI Shared Task 2018: Complex Word Identification with Ensemble-Based Voting—0
KU-MTL at SemEval-2018 Task 1: Multi-task Identification of Affect in Tweets—0
Accurate Text-Enhanced Knowledge Graph Representation Learning—0
Building an annotated dataset of app store reviews with Appraisal features in English and Spanish—0
ELiRF-UPV at SemEval-2018 Tasks 1 and 3: Affect and Irony Detection in Tweets—0
Fusing Document, Collection and Label Graph-based Representations with Word Embeddings for Text ClassificationCode0
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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