SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 8401–8450 of 14581 papers

TitleStatusHype
TeamDL at SemEval-2018 Task 8: Cybersecurity Text Analysis using Convolutional Neural Network and Conditional Random Fields—0
psyML at SemEval-2018 Task 1: Transfer Learning for Sentiment and Emotion Analysis—0
YNU-HPCC at SemEval-2018 Task 3: Ensemble Neural Network Models for Irony Detection on Twitter—0
Random Decision Syntax Trees at SemEval-2018 Task 3: LSTMs and Sentiment Scores for Irony Detection—0
Texterra at SemEval-2018 Task 7: Exploiting Syntactic Information for Relation Extraction and Classification in Scientific Papers—0
\#TeamINF at SemEval-2018 Task 2: Emoji Prediction in Tweets—0
NLPRL-IITBHU at SemEval-2018 Task 3: Combining Linguistic Features and Emoji pre-trained CNN for Irony Detection in Tweets—0
SemEval-2018 Task 7: Semantic Relation Extraction and Classification in Scientific Papers—0
INAOE-UPV at SemEval-2018 Task 3: An Ensemble Approach for Irony Detection in Twitter—0
KU-MTL at SemEval-2018 Task 1: Multi-task Identification of Affect in Tweets—0
ClaiRE at SemEval-2018 Task 7: Classification of Relations using Embeddings—0
CENNLP at SemEval-2018 Task 1: Constrained Vector Space Model in Affects in Tweets—0
Igevorse at SemEval-2018 Task 10: Exploring an Impact of Word Embeddings Concatenation for Capturing Discriminative Attributes—0
IRCMS at SemEval-2018 Task 7 : Evaluating a basic CNN Method and Traditional Pipeline Method for Relation Classification—0
ELiRF-UPV at SemEval-2018 Tasks 1 and 3: Affect and Irony Detection in Tweets—0
EPUTION at SemEval-2018 Task 2: Emoji Prediction with User Adaption—0
ECNU at SemEval-2018 Task 3: Exploration on Irony Detection from Tweets via Machine Learning and Deep Learning Methods—0
IronyMagnet at SemEval-2018 Task 3: A Siamese network for Irony detection in Social media—0
Amrita\_student at SemEval-2018 Task 1: Distributed Representation of Social Media Text for Affects in Tweets—0
CTSys at SemEval-2018 Task 3: Irony in Tweets—0
FOI DSS at SemEval-2018 Task 1: Combining LSTM States, Embeddings, and Lexical Features for Affect Analysis—0
Inducing a Lexicon of Abusive Words – a Feature-Based ApproachCode0
AffecThor at SemEval-2018 Task 1: A cross-linguistic approach to sentiment intensity quantification in tweets—0
deepSA2018 at SemEval-2018 Task 1: Multi-task Learning of Different Label for Affect in Tweets—0
Learning Domain Representation for Multi-Domain Sentiment Classification—0
Automatic Focus Annotation: Bringing Formal Pragmatics Alive in Analyzing the Information Structure of Authentic Data—0
Data Collection for Dialogue System: A Startup Perspective—0
EMR Coding with Semi-Parametric Multi-Head Matching Networks—0
Accurate Text-Enhanced Knowledge Graph Representation Learning—0
Corpus Creation and Emotion Prediction for Hindi-English Code-Mixed Social Media Text—0
ISCLAB at SemEval-2018 Task 1: UIR-Miner for Affect in Tweets—0
DMCB at SemEval-2018 Task 1: Transfer Learning of Sentiment Classification Using Group LSTM for Emotion Intensity prediction—0
An Evaluation of Image-Based Verb Prediction Models against Human Eye-Tracking Data—0
Is Something Better than Nothing? Automatically Predicting Stance-based Arguments Using Deep Learning and Small Labelled Dataset—0
Gated Multi-Task Network for Text Classification—0
Analogies in Complex Verb Meaning Shifts: the Effect of Affect in Semantic Similarity Models—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
Keep Your Bearings: Lightly-Supervised Information Extraction with Ladder Networks That Avoids Semantic Drift—0
ECNU at SemEval-2018 Task 1: Emotion Intensity Prediction Using Effective Features and Machine Learning Models—0
Early Text Classification Using Multi-Resolution Concept Representations—0
SemEval-2018 Task 1: Affect in Tweets—0
Linguistic Cues to Deception and Perceived Deception in Interview Dialogues—0
Syntactically Aware Neural Architectures for Definition Extraction—0
LT3 at SemEval-2018 Task 1: A classifier chain to detect emotions in tweets—0
SINAI at SemEval-2018 Task 1: Emotion Recognition in Tweets—0
Modeling Inter-Aspect Dependencies for Aspect-Based Sentiment AnalysisCode0
YNU-HPCC at SemEval-2018 Task 1: BiLSTM with Attention based Sentiment Analysis for Affect in Tweets—0
Tw-StAR at SemEval-2018 Task 1: Preprocessing Impact on Multi-label Emotion Classification—0
Learning Sentence Representations over Tree Structures for Target-Dependent 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