Papers
THU_NGN at SemEval-2019 Task 3: Dialog Emotion Classification using Attentional LSTM-CNN
Suyu Ge, Tao Qi, Chuhan Wu et al.
SymantoResearch at SemEval-2019 Task 3: Combined Neural Models for Emotion Classification in Human-Chatbot Conversations
Angelo Basile, Marc Franco-Salvador, Neha Pawar et al.
SWAP at SemEval-2019 Task 3: Emotion detection in conversations through Tweets, CNN and LSTM deep neural networks
Marco Polignano, Marco de Gemmis, Giovanni Semeraro
SSN_NLP at SemEval-2019 Task 3: Contextual Emotion Identification from Textual Conversation using Seq2Seq Deep Neural Network
Senthil Kumar B., Thenmozhi D., Aravindan Chandrabose et al.
SNU IDS at SemEval-2019 Task 3: Addressing Training-Test Class Distribution Mismatch in Conversational Classification
Sanghwan Bae, Jihun Choi, Sang-goo Lee
SINAI at SemEval-2019 Task 3: Using affective features for emotion classification in textual conversations
Flor Miriam Plaza-del-Arco, M. Dolores Molina-González, Maite Martin et al.
SCIA at SemEval-2019 Task 3: Sentiment Analysis in Textual Conversations Using Deep Learning
Zinedine Rebiai, Simon Andersen, Antoine Debrenne et al.
Podlab at SemEval-2019 Task 3: The Importance of Being Shallow
Andrew Nguyen, Tobin South, Nigel Bean et al.
PKUSE at SemEval-2019 Task 3: Emotion Detection with Emotion-Oriented Neural Attention Network
Luyao Ma, Long Zhang, Wei Ye et al.
ntuer at SemEval-2019 Task 3: Emotion Classification with Word and Sentence Representations in RCNN
Peixiang Zhong, Chunyan Miao
NTUA-ISLab at SemEval-2019 Task 3: Determining emotions in contextual conversations with deep learning
Rolandos Alexandros Potamias, Georgios Siolas
NL-FIIT at SemEval-2019 Task 3: Emotion Detection From Conversational Triplets Using Hierarchical Encoders
Michal Farkas, Peter Lacko
NELEC at SemEval-2019 Task 3: Think Twice Before Going Deep
Parag Agrawal, Anshuman Suri
MoonGrad at SemEval-2019 Task 3: Ensemble BiRNNs for Contextual Emotion Detection in Dialogues
Chandrakant Bothe, Stefan Wermter
MILAB at SemEval-2019 Task 3: Multi-View Turn-by-Turn Model for Context-Aware Sentiment Analysis
Yoonhyung Lee, Yanghoon Kim, Kyomin Jung
LIRMM-Advanse at SemEval-2019 Task 3: Attentive Conversation Modeling for Emotion Detection and Classification
Waleed Ragheb, Jérôme Azé, Sandra Bringay et al.
KSU at SemEval-2019 Task 3: Hybrid Features for Emotion Recognition in Textual Conversation
Nourah Alswaidan, Mohamed El Bachir Menai
KGPChamps at SemEval-2019 Task 3: A deep learning approach to detect emotions in the dialog utterances.
Jasabanta Patro, Nitin Choudhary, Kalpit Chittora et al.
IIT Gandhinagar at SemEval-2019 Task 3: Contextual Emotion Detection Using Deep Learning
Arik Pamnani, Rajat Goel, Jayesh Choudhari et al.
EPITA-ADAPT at SemEval-2019 Task 3: Detecting emotions in textual conversations using deep learning models combination
Abdessalam Bouchekif, Praveen Joshi, Latifa Bouchekif et al.