SemEval 2018

195 papers

CTSys at SemEval-2018 Task 3: Irony in Tweets

Myan Sherif, Sherine Mamdouh, Wegdan Ghazi

IronyMagnet at SemEval-2018 Task 3: A Siamese network for Irony detection in Social media

Aniruddha Ghosh, Tony Veale

ELiRF-UPV at SemEval-2018 Tasks 1 and 3: Affect and Irony Detection in Tweets

José-Ángel González, Lluís-F. Hurtado, Ferran Pla

Random Decision Syntax Trees at SemEval-2018 Task 3: LSTMs and Sentiment Scores for Irony Detection

Aidan San

WLV at SemEval-2018 Task 3: Dissecting Tweets in Search of Irony

Omid Rohanian, Shiva Taslimipoor, Richard Evans, Ruslan Mitkov

HashCount at SemEval-2018 Task 3: Concatenative Featurization of Tweet and Hashtags for Irony Detection

Won Ik Cho, Woo Hyun Kang, Nam Soo Kim

PunFields at SemEval-2018 Task 3: Detecting Irony by Tools of Humor Analysis

Elena Mikhalkova, Yuri Karyakin, Alexander Voronov, Dmitry Grigoriev, Artem Leoznov

IIIDYT at SemEval-2018 Task 3: Irony detection in English tweets

Edison Marrese-Taylor, Suzana Ilic, Jorge Balazs, Helmut Prendinger, Yutaka Matsuo

LDR at SemEval-2018 Task 3: A Low Dimensional Text Representation for Irony Detection

Bilal Ghanem, Francisco Rangel, Paolo Rosso

NIHRIO at SemEval-2018 Task 3: A Simple and Accurate Neural Network Model for Irony Detection in Twitter

Thanh Vu, Dat Quoc Nguyen, Xuan-Son Vu, Dai Quoc Nguyen, Michael Catt

UWB at SemEval-2018 Task 3: Irony detection in English tweets

Tomáš Hercig

NEUROSENT-PDI at SemEval-2018 Task 3: Understanding Irony in Social Networks Through a Multi-Domain Sentiment Model

Mauro Dragoni

ALANIS at SemEval-2018 Task 3: A Feature Engineering Approach to Irony Detection in English Tweets

Kevin Swanberg, Madiha Mirza, Ted Pedersen, Zhenduo Wang

LIS at SemEval-2018 Task 2: Mixing Word Embeddings and Bag of Features for Multilingual Emoji Prediction

Gaël Guibon, Magalie Ochs, Patrice Bellot

Tweety at SemEval-2018 Task 2: Predicting Emojis using Hierarchical Attention Neural Networks and Support Vector Machine

Daniel Kopev, Atanas Atanasov, Dimitrina Zlatkova, Momchil Hardalov, Ivan Koychev

Manchester Metropolitan at SemEval-2018 Task 2: Random Forest with an Ensemble of Features for Predicting Emoji in Tweets

Luciano Gerber, Matthew Shardlow

CENNLP at SemEval-2018 Task 2: Enhanced Distributed Representation of Text using Target Classes for Emoji Prediction Representation

Naveen J R, Hariharan V, Barathi Ganesh H. B., Anand Kumar M, Soman K P

Duluth UROP at SemEval-2018 Task 2: Multilingual Emoji Prediction with Ensemble Learning and Oversampling

Shuning Jin, Ted Pedersen

SyntNN at SemEval-2018 Task 2: is Syntax Useful for Emoji Prediction? Embedding Syntactic Trees in Multi Layer Perceptrons

Fabio Massimo Zanzotto, Andrea Santilli

TAJJEB at SemEval-2018 Task 2: Traditional Approaches Just Do the Job with Emoji Prediction

Angelo Basile, Kenny W. Lino

DUTH at SemEval-2018 Task 2: Emoji Prediction in Tweets

Dimitrios Effrosynidis, Georgios Peikos, Symeon Symeonidis, Avi Arampatzis

YNU-HPCC at SemEval-2018 Task 2: Multi-ensemble Bi-GRU Model with Attention Mechanism for Multilingual Emoji Prediction

Nan Wang, Jin Wang, Xuejie Zhang

PickleTeam! at SemEval-2018 Task 2: English and Spanish Emoji Prediction from Tweets

Daphne Groot, Rémon Kruizinga, Hennie Veldthuis, Simon de Wit, Hessel Haagsma

EPUTION at SemEval-2018 Task 2: Emoji Prediction with User Adaption

Liyuan Zhou, Qiongkai Xu, Hanna Suominen, Tom Gedeon

Hatching Chick at SemEval-2018 Task 2: Multilingual Emoji Prediction

Joël Coster, Reinder Gerard van Dalen, Nathalie Adriënne Jacqueline Stierman

NTUA-SLP at SemEval-2018 Task 2: Predicting Emojis using RNNs with Context-aware Attention

Christos Baziotis, Athanasiou Nikolaos, Athanasia Kolovou, Georgios Paraskevopoulos, Nikolaos Ellinas

ECNU at SemEval-2018 Task 2: Leverage Traditional NLP Features and Neural Networks Methods to Address Twitter Emoji Prediction Task

Xingwu Lu, Xin Mao, Man Lan, Yuanbin Wu

Peperomia at SemEval-2018 Task 2: Vector Similarity Based Approach for Emoji Prediction

Jing Chen, Dechuan Yang, Xilian Li, Wei Chen, Tengjiao Wang

EmojiIt at SemEval-2018 Task 2: An Effective Attention-Based Recurrent Neural Network Model for Emoji Prediction with Characters Gated Words

Shiyun Chen, Maoquan Wang, Liang He

EICA Team at SemEval-2018 Task 2: Semantic and Metadata-based Features for Multilingual Emoji Prediction

Yufei Xie, Qingqing Song

#TeamINF at SemEval-2018 Task 2: Emoji Prediction in Tweets

Alison Ribeiro, Nádia Silva

THU_NGN at SemEval-2018 Task 2: Residual CNN-LSTM Network with Attention for English Emoji Prediction

Chuhan Wu, Fangzhao Wu, Sixing Wu, Zhigang Yuan, Junxin Liu

The Dabblers at SemEval-2018 Task 2: Multilingual Emoji Prediction

Larisa Alexa, Alina Lorenț, Daniela Gifu, Diana Trandabat

UMDuluth-CS8761 at SemEval-2018 Task 2: Emojis: Too many Choices?

Jonathan Beaulieu, Dennis Asamoah Owusu

UMDSub at SemEval-2018 Task 2: Multilingual Emoji Prediction Multi-channel Convolutional Neural Network on Subword Embedding

Zhenduo Wang, Ted Pedersen

EmoNLP at SemEval-2018 Task 2: English Emoji Prediction with Gradient Boosting Regression Tree Method and Bidirectional LSTM

Man Liu

KU-MTL at SemEval-2018 Task 1: Multi-task Identification of Affect in Tweets

Thomas Nyegaard-Signori, Casper Veistrup Helms, Johannes Bjerva, Isabelle Augenstein

UIUC at SemEval-2018 Task 1: Recognizing Affect with Ensemble Models

Abhishek Avinash Narwekar, Roxana Girju

psyML at SemEval-2018 Task 1: Transfer Learning for Sentiment and Emotion Analysis

Grace Gee, Eugene Wang

ARB-SEN at SemEval-2018 Task1: A New Set of Features for Enhancing the Sentiment Intensity Prediction in Arabic Tweets

El Moatez Billah Nagoudi

RIDDL at SemEval-2018 Task 1: Rage Intensity Detection with Deep Learning

Venkatesh Elango, Karan Uppal

TeamUNCC at SemEval-2018 Task 1: Emotion Detection in English and Arabic Tweets using Deep Learning

Malak Abdullah, Samira Shaikh

Mutux at SemEval-2018 Task 1: Exploring Impacts of Context Information On Emotion Detection

Pan Du, Jian-Yun Nie

IIT Delhi at SemEval-2018 Task 1 : Emotion Intensity Prediction

Bhaskar Kotakonda, Prashanth Gowda, Brejesh Lall

TeamCEN at SemEval-2018 Task 1: Global Vectors Representation in Emotion Detection

Anon George, Barathi Ganesh H. B., Anand Kumar M, Soman K P

CENNLP at SemEval-2018 Task 1: Constrained Vector Space Model in Affects in Tweets

Naveen J R, Barathi Ganesh H. B., Anand Kumar M, Soman K P

SSN MLRG1 at SemEval-2018 Task 1: Emotion and Sentiment Intensity Detection Using Rule Based Feature Selection

Angel Deborah S, Rajalakshmi S, S Milton Rajendram, Mirnalinee T T

Amrita_student at SemEval-2018 Task 1: Distributed Representation of Social Media Text for Affects in Tweets

Nidhin A Unnithan, Shalini K., Barathi Ganesh H. B., Anand Kumar M, Soman K. P.

Zewen at SemEval-2018 Task 1: An Ensemble Model for Affect Prediction in Tweets

Zewen Chi, Heyan Huang, Jiangui Chen, Hao Wu, Ran Wei

DeepMiner at SemEval-2018 Task 1: Emotion Intensity Recognition Using Deep Representation Learning

Habibeh Naderi, Behrouz Haji Soleimani, Saif Mohammad, Svetlana Kiritchenko, Stan Matwin

DMCB at SemEval-2018 Task 1: Transfer Learning of Sentiment Classification Using Group LSTM for Emotion Intensity prediction

Youngmin Kim, Hyunju Lee

TCS Research at SemEval-2018 Task 1: Learning Robust Representations using Multi-Attention Architecture

Hardik Meisheri, Lipika Dey

ISCLAB at SemEval-2018 Task 1: UIR-Miner for Affect in Tweets

Meng Li, Zhenyuan Dong, Zhihao Fan, Kongming Meng, Jinghua Cao

UG18 at SemEval-2018 Task 1: Generating Additional Training Data for Predicting Emotion Intensity in Spanish

Marloes Kuijper, Mike van Lenthe, Rik van Noord

YNU-HPCC at SemEval-2018 Task 1: BiLSTM with Attention based Sentiment Analysis for Affect in Tweets

You Zhang, Jin Wang, Xuejie Zhang

PlusEmo2Vec at SemEval-2018 Task 1: Exploiting emotion knowledge from emoji and #hashtags

Ji Ho Park, Peng Xu, Pascale Fung

CrystalFeel at SemEval-2018 Task 1: Understanding and Detecting Emotion Intensity using Affective Lexicons

Raj Kumar Gupta, Yinping Yang

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

Christos Baziotis, Athanasiou Nikolaos, Alexandra Chronopoulou, Athanasia Kolovou, Georgios Paraskevopoulos

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

Gilbert Badaro, Obeida El Jundi, Alaa Khaddaj, Alaa Maarouf, Raslan Kain

ECNU at SemEval-2018 Task 1: Emotion Intensity Prediction Using Effective Features and Machine Learning Models

Huimin Xu, Man Lan, Yuanbin Wu

deepSA2018 at SemEval-2018 Task 1: Multi-task Learning of Different Label for Affect in Tweets

Zi-Yuan Gao, Chia-Ping Chen

Amobee at SemEval-2018 Task 1: GRU Neural Network with a CNN Attention Mechanism for Sentiment Classification

Alon Rozental, Daniel Fleischer

AffecThor at SemEval-2018 Task 1: A cross-linguistic approach to sentiment intensity quantification in tweets

Mostafa Abdou, Artur Kulmizev, Joan Ginés i Ametllé

Yuan at SemEval-2018 Task 1: Tweets Emotion Intensity Prediction using Ensemble Recurrent Neural Network

Min Wang, Xiaobing Zhou

CENTEMENT at SemEval-2018 Task 1: Classification of Tweets using Multiple Thresholds with Self-correction and Weighted Conditional Probabilities

Tariq Ahmad, Allan Ramsay, Hanady Ahmed

EiTAKA at SemEval-2018 Task 1: An Ensemble of N-Channels ConvNet and XGboost Regressors for Emotion Analysis of Tweets

Mohammed Jabreel, Antonio Moreno

THU_NGN at SemEval-2018 Task 1: Fine-grained Tweet Sentiment Intensity Analysis with Attention CNN-LSTM

Chuhan Wu, Fangzhao Wu, Junxin Liu, Zhigang Yuan, Sixing Wu

uOttawa at SemEval-2018 Task 1: Self-Attentive Hybrid GRU-Based Network

Ahmed Husseini Orabi, Mahmoud Husseini Orabi, Diana Inkpen, David Van Bruwaene

EmoIntens Tracker at SemEval-2018 Task 1: Emotional Intensity Levels in #Tweets

Ramona-Andreea Turcu, Sandra Maria Amarandei, Iuliana-Alexandra Flescan-Lovin-Arseni, Daniela Gifu, Diana Trandabat

DL Team at SemEval-2018 Task 1: Tweet Affect Detection using Sentiment Lexicons and Embeddings

Dmitry Kravchenko, Lidia Pivovarova

Tw-StAR at SemEval-2018 Task 1: Preprocessing Impact on Multi-label Emotion Classification

Hala Mulki, Chedi Bechikh Ali, Hatem Haddad, Ismail Babaoğlu

RNN for Affects at SemEval-2018 Task 1: Formulating Affect Identification as a Binary Classification Problem

Aysu Ezen-Can, Ethem F. Can

KDE-AFFECT at SemEval-2018 Task 1: Estimation of Affects in Tweet by Using Convolutional Neural Network for n-gram

Masaki Aono, Shinnosuke Himeno

Epita at SemEval-2018 Task 1: Sentiment Analysis Using Transfer Learning Approach

Guillaume Daval-Frerot, Abdesselam Bouchekif, Anatole Moreau

INGEOTEC at SemEval-2018 Task 1: EvoMSA and μTC for Sentiment Analysis

Mario Graff, Sabino Miranda-Jiménez, Eric S. Tellez, Daniela Moctezuma

AttnConvnet at SemEval-2018 Task 1: Attention-based Convolutional Neural Networks for Multi-label Emotion Classification

Yanghoon Kim, Hwanhee Lee, Kyomin Jung

UWB at SemEval-2018 Task 1: Emotion Intensity Detection in Tweets

Pavel Přibáň, Tomáš Hercig, Ladislav Lenc

SINAI at SemEval-2018 Task 1: Emotion Recognition in Tweets

Flor Miriam Plaza-del-Arco, Salud María Jiménez-Zafra, Maite Martin, L. Alfonso Ureña-López

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

Luna De Bruyne, Orphee De Clercq, Véronique Hoste

NLPZZX at SemEval-2018 Task 1: Using Ensemble Method for Emotion and Sentiment Intensity Determination

Zhengxin Zhang, Qimin Zhou, Hao Wu

FOI DSS at SemEval-2018 Task 1: Combining LSTM States, Embeddings, and Lexical Features for Affect Analysis

Maja Karasalo, Mattias Nilsson, Magnus Rosell, Ulrika Wickenberg Bolin

NEUROSENT-PDI at SemEval-2018 Task 1: Leveraging a Multi-Domain Sentiment Model for Inferring Polarity in Micro-blog Text

Mauro Dragoni

Chrono at SemEval-2018 Task 6: A System for Normalizing Temporal Expressions

Amy Olex, Luke Maffey, Nicholas Morgan, Bridget McInnes

SemEval 2018 Task 6: Parsing Time Normalizations

Egoitz Laparra, Dongfang Xu, Ahmed Elsayed, Steven Bethard, Martha Palmer

KOI at SemEval-2018 Task 5: Building Knowledge Graph of Incidents

Paramita Mirza, Fariz Darari, Rahmad Mahendra

SemEval-2018 Task 5: Counting Events and Participants in the Long Tail

Marten Postma, Filip Ilievski, Piek Vossen

AMORE-UPF at SemEval-2018 Task 4: BiLSTM with Entity Library

Laura Aina, Carina Silberer, Ionut-Teodor Sorodoc, Matthijs Westera, Gemma Boleda

SemEval 2018 Task 4: Character Identification on Multiparty Dialogues

Jinho D. Choi, Henry Y. Chen

THU_NGN at SemEval-2018 Task 3: Tweet Irony Detection with Densely connected LSTM and Multi-task Learning

Chuhan Wu, Fangzhao Wu, Sixing Wu, Junxin Liu, Zhigang Yuan

SemEval-2018 Task 3: Irony Detection in English Tweets

Cynthia Van Hee, Els Lefever, Véronique Hoste

Tübingen-Oslo at SemEval-2018 Task 2: SVMs perform better than RNNs in Emoji Prediction

Çağrı Çöltekin, Taraka Rama

SemEval 2018 Task 2: Multilingual Emoji Prediction

Francesco Barbieri, Jose Camacho-Collados, Francesco Ronzano, Luis Espinosa-Anke, Miguel Ballesteros

SeerNet at SemEval-2018 Task 1: Domain Adaptation for Affect in Tweets

Venkatesh Duppada, Royal Jain, Sushant Hiray

SemEval-2018 Task 1: Affect in Tweets

Saif Mohammad, Felipe Bravo-Marquez, Mohammad Salameh, Svetlana Kiritchenko

Proceedings of the 12th International Workshop on Semantic Evaluation

Marianna Apidianaki, Saif M. Mohammad, Jonathan May, Ekaterina Shutova, Steven Bethard