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Classification

15,289 papers

Papers per year

Papers

SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours SEMEVAL 2017
IIT-UHH at SemEval-2017 Task 3: Exploring Multiple Features for Community Question Answering and Implicit Dialogue Identification SEMEVAL 2017
MITRE at SemEval-2017 Task 1: Simple Semantic Similarity SEMEVAL 2017
UPC-USMBA at SemEval-2017 Task 3: Combining multiple approaches for CQA for Arabic SEMEVAL 2017
Talla at SemEval-2017 Task 3: Identifying Similar Questions Through Paraphrase Detection SEMEVAL 2017
QUB at SemEval-2017 Task 6: Cascaded Imbalanced Classification for Humor Analysis in Twitter SEMEVAL 2017
TakeLab at SemEval-2017 Task 6: #RankingHumorIn4Pages SEMEVAL 2017
SVNIT @ SemEval 2017 Task-6: Learning a Sense of Humor Using Supervised Approach SEMEVAL 2017
PunFields at SemEval-2017 Task 7: Employing Roget’s Thesaurus in Automatic Pun Recognition and Interpretation SEMEVAL 2017
JU CSE NLP @ SemEval 2017 Task 7: Employing Rules to Detect and Interpret English Puns SEMEVAL 2017
N-Hance at SemEval-2017 Task 7: A Computational Approach using Word Association for Puns SEMEVAL 2017
UWAV at SemEval-2017 Task 7: Automated feature-based system for locating puns SEMEVAL 2017
ECNU at SemEval-2017 Task 7: Using Supervised and Unsupervised Methods to Detect and Locate English Puns SEMEVAL 2017
Turing at SemEval-2017 Task 8: Sequential Approach to Rumour Stance Classification with Branch-LSTM SEMEVAL 2017
DFKI-DKT at SemEval-2017 Task 8: Rumour Detection and Classification using Cascading Heuristics SEMEVAL 2017
ECNU at SemEval-2017 Task 8: Rumour Evaluation Using Effective Features and Supervised Ensemble Models SEMEVAL 2017
IITP at SemEval-2017 Task 8 : A Supervised Approach for Rumour Evaluation SEMEVAL 2017
SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific Publications SEMEVAL 2017
NNEMBs at SemEval-2017 Task 4: Neural Twitter Sentiment Classification: a Simple Ensemble Method with Different Embeddings SEMEVAL 2017
CrystalNest at SemEval-2017 Task 4: Using Sarcasm Detection for Enhancing Sentiment Classification and Quantification SEMEVAL 2017
SINAI at SemEval-2017 Task 4: User based classification SEMEVAL 2017
HLP@UPenn at SemEval-2017 Task 4A: A simple, self-optimizing text classification system combining dense and sparse vectors SEMEVAL 2017
ej-sa-2017 at SemEval-2017 Task 4: Experiments for Target oriented Sentiment Analysis in Twitter SEMEVAL 2017
SentiME++ at SemEval-2017 Task 4: Stacking State-of-the-Art Classifiers to Enhance Sentiment Classification SEMEVAL 2017
TWINA at SemEval-2017 Task 4: Twitter Sentiment Analysis with Ensemble Gradient Boost Tree Classifier SEMEVAL 2017