Masking Actor Information Leads to Fairer Political Claims Detection ACL-2020

Emotion Arcs of Student Narratives ACL-2020 NUSE-2020 WS-2020

Transition-based Directed Graph Construction for Emotion-Cause Pair Extraction ACL-2020

GoEmotions: A Dataset of Fine-Grained Emotions ACL-2020

A Deep Learning System for Sentiment Analysis of Service Calls ACL-2020 ECNLP-2020 WS-2020

A Transformer-based joint-encoding for Emotion Recognition and Sentiment Analysis ACL-2020 Challenge-HML-2020 WS-2020

Dialogue-Based Relation Extraction ACL-2020

Learning and Evaluating Emotion Lexicons for 91 Languages ACL-2020

Multilogue-Net: A Context-Aware RNN for Multi-modal Emotion Detection and Sentiment Analysis in Conversation ACL-2020 Challenge-HML-2020 WS-2020

SentiBERT: A Transferable Transformer-Based Architecture for Compositional Sentiment Semantics ACL-2020

Joint Modelling of Emotion and Abusive Language Detection ACL-2020

Aspect Sentiment Classification with Document-level Sentiment Preference Modeling ACL-2020

A Comprehensive Analysis of Preprocessing for Word Representation Learning in Affective Tasks ACL-2020

Systematic Evaluation of a Framework for Unsupervised Emotion Recognition for Narrative Text ACL-2020 NUSE-2020 WS-2020

Detecting Perceived Emotions in Hurricane Disasters ACL-2020

Sentim at SemEval-2019 Task 3: Convolutional Neural Networks For Sentiment in Conversations *SEMEVAL-2019

UAIC at SemEval-2019 Task 3: Extracting Much from Little *SEMEVAL-2019

SCIA at SemEval-2019 Task 3: Sentiment Analysis in Textual Conversations Using Deep Learning *SEMEVAL-2019

Crowdsourcing and Validating Event-focused Emotion Corpora for German and English ACL-2019

evision PDF of 'CoAStaL at SemEval-2019 Task 3: Affect Classification in Dialogue using Attentive BiLSTMs *SEMEVAL-2019

SWAP at SemEval-2019 Task 3: Emotion detection in conversations through Tweets, CNN and LSTM deep neural networks *SEMEVAL-2019

CLP at SemEval-2019 Task 3: Multi-Encoder in Hierarchical Attention Networks for Contextual Emotion Detection *SEMEVAL-2019

Slang Detection and Identification CoNLL-2019

PKUSE at SemEval-2019 Task 3: Emotion Detection with Emotion-Oriented Neural Attention Network *SEMEVAL-2019

Ranking and Selecting Multi-Hop Knowledge Paths to Better Predict Human Needs NAACL-2019

Knowledge-Enriched Transformer for Emotion Detection in Textual Conversations EMNLP-2019

ConSSED at SemEval-2019 Task 3: Configurable Semantic and Sentiment Emotion Detector *SEMEVAL-2019

SNU IDS at SemEval-2019 Task 3: Addressing Training-Test Class Distribution Mismatch in Conversational Classification *SEMEVAL-2019

EmoSense at SemEval-2019 Task 3: Bidirectional LSTM Network for Contextual Emotion Detection in Textual Conversations *SEMEVAL-2019

MoEL: Mixture of Empathetic Listeners EMNLP-2019

MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations ACL-2019

Content-based Dwell Time Engagement Prediction Model for News Articles NAACL-2019

EPITA-ADAPT at SemEval-2019 Task 3: Detecting emotions in textual conversations using deep learning models combination *SEMEVAL-2019

Transfer Learning Between Related Tasks Using Expected Label Proportions EMNLP-2019

NL-FIIT at SemEval-2019 Task 3: Emotion Detection From Conversational Triplets Using Hierarchical Encoders *SEMEVAL-2019

ntuer at SemEval-2019 Task 3: Emotion Classification with Word and Sentence Representations in RCNN *SEMEVAL-2019

Multi-task Learning for Multi-modal Emotion Recognition and Sentiment Analysis NAACL-2019

Multi-Channel Convolutional Neural Network for Twitter Emotion and Sentiment Recognition NAACL-2019

Figure Eight at SemEval-2019 Task 3: Ensemble of Transfer Learning Methods for Contextual Emotion Detection *SEMEVAL-2019

Podlab at SemEval-2019 Task 3: The Importance of Being Shallow *SEMEVAL-2019

Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach EMNLP-2019

TokyoTech_NLP at SemEval-2019 Task 3: Emotion-related Symbols in Emotion Detection *SEMEVAL-2019

Interpretable Relevant Emotion Ranking with Event-Driven Attention EMNLP-2019

SymantoResearch at SemEval-2019 Task 3: Combined Neural Models for Emotion Classification in Human-Chatbot Conversations *SEMEVAL-2019

KGPChamps at SemEval-2019 Task 3: A deep learning approach to detect emotions in the dialog utterances. *SEMEVAL-2019

BrainEE at SemEval-2019 Task 3: Ensembling Linear Classifiers for Emotion Prediction *SEMEVAL-2019

LIRMM-Advanse at SemEval-2019 Task 3: Attentive Conversation Modeling for Emotion Detection and Classification *SEMEVAL-2019

Predicting Discourse Structure using Distant Supervision from Sentiment EMNLP-2019

EMOMINER at SemEval-2019 Task 3: A Stacked BiLSTM Architecture for Contextual Emotion Detection in Text *SEMEVAL-2019

SemEval-2019 Task 3: EmoContext Contextual Emotion Detection in Text *SEMEVAL-2019

THU-HCSI at SemEval-2019 Task 3: Hierarchical Ensemble Classification of Contextual Emotion in Conversation *SEMEVAL-2019

Emotion Detection with Neural Personal Discrimination EMNLP-2019

GenSMT at SemEval-2019 Task 3: Contextual Emotion Detection in tweets using multi task generic approach *SEMEVAL-2019

UBC-NLP at SemEval-2019 Task 4: Hyperpartisan News Detection With Attention-Based Bi-LSTMs *SEMEVAL-2019

MoonGrad at SemEval-2019 Task 3: Ensemble BiRNNs for Contextual Emotion Detection in Dialogues *SEMEVAL-2019

Context-aware Interactive Attention for Multi-modal Sentiment and Emotion Analysis EMNLP-2019

FriendsQA: Open-Domain Question Answering on TV Show Transcripts WS-2019

SINAI at SemEval-2019 Task 3: Using affective features for emotion classification in textual conversations *SEMEVAL-2019

Prediction of User Emotion and Dialogue Success Using Audio Spectrograms and Convolutional Neural Networks WS-2019

Sentence-Level Propaganda Detection in News Articles with Transfer Learning and BERT-BiLSTM-Capsule Model EMNLP-2019 WS-2019

E-LSTM at SemEval-2019 Task 3: Semantic and Sentimental Features Retention for Emotion Detection in Text *SEMEVAL-2019

KSU at SemEval-2019 Task 3: Hybrid Features for Emotion Recognition in Textual Conversation *SEMEVAL-2019

CLaC Lab at SemEval-2019 Task 3: Contextual Emotion Detection Using a Combination of Neural Networks and SVM *SEMEVAL-2019

SSN_NLP at SemEval-2019 Task 3: Contextual Emotion Identification from Textual Conversation using Seq2Seq Deep Neural Network *SEMEVAL-2019

YUN-HPCC at SemEval-2019 Task 3: Multi-Step Ensemble Neural Network for Sentiment Analysis in Textual Conversation *SEMEVAL-2019

Hierarchical Multi-label Classification of Text with Capsule Networks ACL-2019

IIT Gandhinagar at SemEval-2019 Task 3: Contextual Emotion Detection Using Deep Learning *SEMEVAL-2019

Insights from Building an Open-Ended Conversational Agent ACL-2019 WS-2019

Lexicon Guided Attentive Neural Network Model for Argument Mining ACL-2019 WS-2019

Multi-Task, Multi-Channel, Multi-Input Learning for Mental Illness Detection using Social Media Text EMNLP-2019 WS-2019

CECL at SemEval-2019 Task 3: Using Surface Learning for Detecting Emotion in Textual Conversations *SEMEVAL-2019

NELEC at SemEval-2019 Task 3: Think Twice Before Going Deep *SEMEVAL-2019

Dreaddit: A Reddit Dataset for Stress Analysis in Social Media EMNLP-2019 WS-2019

Proceedings of the 13th International Workshop on Semantic Evaluation *SEMEVAL-2019

ANA at SemEval-2019 Task 3: Contextual Emotion detection in Conversations through hierarchical LSTMs and BERT *SEMEVAL-2019

GWU NLP Lab at SemEval-2019 Task 3 : EmoContext: Effectiveness ofContextual Information in Models for Emotion Detection inSentence-level at Multi-genre Corpus *SEMEVAL-2019

ELiRF-UPV at SemEval-2019 Task 3: Snapshot Ensemble of Hierarchical Convolutional Neural Networks for Contextual Emotion Detection *SEMEVAL-2019

ICON: Interactive Conversational Memory Network for Multimodal Emotion Detection EMNLP-2018

Emotion Detection and Classification in a Multigenre Corpus with Joint Multi-Task Deep Learning COLING-2018

An Interpretable Neural Network with Topical Information for Relevant Emotion Ranking EMNLP-2018

DNN Multimodal Fusion Techniques for Predicting Video Sentiment ACL-2018 WS-2018

Understanding Emotions: A Dataset of Tweets to Study Interactions between Affect Categories LREC-2018

Sentence and Clause Level Emotion Annotation, Detection, and Classification in a Multi-Genre Corpus LREC-2018

EmotionLines: An Emotion Corpus of Multi-Party Conversations LREC-2018

Visual Choice of Plausible Alternatives: An Evaluation of Image-based Commonsense Causal Reasoning LREC-2018

EMTC: Multilabel Corpus in Movie Domain for Emotion Analysis in Conversational Text LREC-2018

CARER: Contextualized Affect Representations for Emotion Recognition EMNLP-2018

The SSIX Corpora: Three Gold Standard Corpora for Sentiment Analysis in English, Spanish and German Financial Microblogs LREC-2018

SocialNLP 2018 EmotionX Challenge Overview: Recognizing Emotions in Dialogues ACL-2018 WS-2018

Recognizing Emotions in Video Using Multimodal DNN Feature Fusion ACL-2018 WS-2018

Modeling Empathy and Distress in Reaction to News Stories EMNLP-2018

How emotional are you? Neural Architectures for Emotion Intensity Prediction in Microblogs COLING-2018

EMA at SemEval-2018 Task 1: Emotion Mining for Arabic *SEMEVAL-2018

Relevant Emotion Ranking from Text Constrained with Emotion Relationships NAACL-2018

Deconfounded Lexicon Induction for Interpretable Social Science NAACL-2018

Conversational Memory Network for Emotion Recognition in Dyadic Dialogue Videos NAACL-2018

Corpus Creation and Emotion Prediction for Hindi-English Code-Mixed Social Media Text NAACL-2018

LT3 at SemEval-2018 Task 1: A classifier chain to detect emotions in tweets *SEMEVAL-2018

Deep Learning for Dialogue Systems COLING-2018

NTUA-SLP at SemEval-2018 Task 1: Predicting Affective Content in Tweets with Deep Attentive RNNs and Transfer Learning *SEMEVAL-2018

WS

Associated works : 75

*SEMEVAL

Associated works : 51

ACL

Associated works : 44

LREC

Associated works : 34

EMNLP

Associated works : 31

NAACL

Associated works : 14

COLING

Associated works : 11

SIGDIAL

Associated works : 7

WASSA

Associated works : 5

EACL

Associated works : 5

IJCNLP

Associated works : 5

ROCLING/IJCLCLP

Associated works : 3

PACLIC

Associated works : 3

RANLP

Associated works : 3

ICON

Associated works : 2

NUSE

Associated works : 2

SIGHAN

Associated works : 2

CoNLL

Associated works : 2

Challenge-HML

Associated works : 2

HLT

Associated works : 2

LAW

Associated works : 2

LaTeCH

Associated works : 1

CLP

Associated works : 1

LASM

Associated works : 1

JEP/TALN/RECITAL

Associated works : 1

WSSANLP

Associated works : 1

CL

Associated works : 1

ECNLP

Associated works : 1

PEOPLES

Associated works : 1