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11,300 papers
Papers per year
2002: 2
2003: 3
2006: 11
2007: 13
2008: 16
2009: 16
2010: 23
2011: 27
2012: 30
2013: 55
2014: 69
2015: 145
2016: 408
2017: 695
2018: 1065
2019: 1479
2020: 1348
2021: 1407
2022: 1147
2023: 1123
2024: 1083
2025: 811
2026: 324
Papers
Stance Detection in Code-Mixed Hindi-English Social Media Data using Multi-Task Learning
NAACL 2019
Online abuse detection: the value of preprocessing and neural attention models
NAACL 2019
Enhancing the Measurement of Social Effects by Capturing Morality
NAACL 2019
Using Structured Representation and Data: A Hybrid Model for Negation and Sentiment in Customer Service Conversations
NAACL 2019
Deep Learning Techniques for Humor Detection in Hindi-English Code-Mixed Tweets
NAACL 2019
Value Iteration Networks on Multiple Levels of Abstraction
RSS 2019
On the Merits of Joint Space and Orientation Representations in Learning the Forward Kinematics in SE(3)
RSS 2019
Differentiable Algorithm Networks for Composable Robot Learning
RSS 2019
Neural GRANNy at SemEval-2019 Task 2: A combined approach for better modeling of semantic relationships in semantic frame induction
SEMEVAL 2019
ANA at SemEval-2019 Task 3: Contextual Emotion detection in Conversations through hierarchical LSTMs and BERT
SEMEVAL 2019
Atalaya at SemEval 2019 Task 5: Robust Embeddings for Tweet Classification
SEMEVAL 2019
GCN-Sem at SemEval-2019 Task 1: Semantic Parsing using Graph Convolutional and Recurrent Neural Networks
SEMEVAL 2019
Tüpa at SemEval-2019 Task1: (Almost) feature-free Semantic Parsing
SEMEVAL 2019
UC Davis at SemEval-2019 Task 1: DAG Semantic Parsing with Attention-based Decoder
SEMEVAL 2019
CAiRE_HKUST at SemEval-2019 Task 3: Hierarchical Attention for Dialogue Emotion Classification
SEMEVAL 2019
CLaC Lab at SemEval-2019 Task 3: Contextual Emotion Detection Using a Combination of Neural Networks and SVM
SEMEVAL 2019
CLP at SemEval-2019 Task 3: Multi-Encoder in Hierarchical Attention Networks for Contextual Emotion Detection
SEMEVAL 2019
CoAStaL at SemEval-2019 Task 3: Affect Classification in Dialogue using Attentive BiLSTMs
SEMEVAL 2019
CX-ST-RNM at SemEval-2019 Task 3: Fusion of Recurrent Neural Networks Based on Contextualized and Static Word Representations for Contextual Emotion Detection
SEMEVAL 2019
ELiRF-UPV at SemEval-2019 Task 3: Snapshot Ensemble of Hierarchical Convolutional Neural Networks for Contextual Emotion Detection
SEMEVAL 2019
EmoDet at SemEval-2019 Task 3: Emotion Detection in Text using Deep Learning
SEMEVAL 2019
EMOMINER at SemEval-2019 Task 3: A Stacked BiLSTM Architecture for Contextual Emotion Detection in Text
SEMEVAL 2019
EmoSense at SemEval-2019 Task 3: Bidirectional LSTM Network for Contextual Emotion Detection in Textual Conversations
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
IIT Gandhinagar at SemEval-2019 Task 3: Contextual Emotion Detection Using Deep Learning
SEMEVAL 2019
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