SemEval 2019

233 papers

TECHSSN at SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Tweets using Deep Neural Networks

Logesh Balasubramanian, Harshini Sathish Kumar, Geetika Bandlamudi, Dyaneswaran Sivasankaran, Rajalakshmi Sivanaiah

Stop PropagHate at SemEval-2019 Tasks 5 and 6: Are abusive language classification results reproducible?

Paula Fortuna, Juan Soler-Company, Sérgio Nunes

SSN_NLP at SemEval-2019 Task 6: Offensive Language Identification in Social Media using Traditional and Deep Machine Learning Approaches

Thenmozhi D., Senthil Kumar B., Srinethe Sharavanan, Aravindan Chandrabose

SINAI at SemEval-2019 Task 6: Incorporating lexicon knowledge into SVM learning to identify and categorize offensive language in social media

Flor Miriam Plaza-del-Arco, M. Dolores Molina-González, Maite Martin, L. Alfonso Ureña-López

Pardeep at SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media using Deep Learning

Pardeep Singh, Satish Chand

nlpUP at SemEval-2019 Task 6: A Deep Neural Language Model for Offensive Language Detection

Jelena Mitrović, Bastian Birkeneder, Michael Granitzer

NLPR@SRPOL at SemEval-2019 Task 6 and Task 5: Linguistically enhanced deep learning offensive sentence classifier

Alessandro Seganti, Helena Sobol, Iryna Orlova, Hannam Kim, Jakub Staniszewski

NLP@UIOWA at SemEval-2019 Task 6: Classifying the Crass using Multi-windowed CNNs

Jonathan Rusert, Padmini Srinivasan

NIT_Agartala_NLP_Team at SemEval-2019 Task 6: An Ensemble Approach to Identifying and Categorizing Offensive Language in Twitter Social Media Corpora

Steve Durairaj Swamy, Anupam Jamatia, Björn Gambäck, Amitava Das

Nikolov-Radivchev at SemEval-2019 Task 6: Offensive Tweet Classification with BERT and Ensembles

Alex Nikolov, Victor Radivchev

MIDAS at SemEval-2019 Task 6: Identifying Offensive Posts and Targeted Offense from Twitter

Debanjan Mahata, Haimin Zhang, Karan Uppal, Yaman Kumar, Rajiv Ratn Shah

LTL-UDE at SemEval-2019 Task 6: BERT and Two-Vote Classification for Categorizing Offensiveness

Piush Aggarwal, Tobias Horsmann, Michael Wojatzki, Torsten Zesch

LaSTUS/TALN at SemEval-2019 Task 6: Identification and Categorization of Offensive Language in Social Media with Attention-based Bi-LSTM model

Lutfiye Seda Mut Altin, Àlex Bravo Serrano, Horacio Saggion

KMI-Coling at SemEval-2019 Task 6: Exploring N-grams for Offensive Language detection

Priya Rani, Atul Kr. Ojha

JU_ETCE_17_21 at SemEval-2019 Task 6: Efficient Machine Learning and Neural Network Approaches for Identifying and Categorizing Offensive Language in Tweets

Preeti Mukherjee, Mainak Pal, Somnath Banerjee, Sudip Kumar Naskar

JTML at SemEval-2019 Task 6: Offensive Tweets Identification using Convolutional Neural Networks

Johnny Torres, Carmen Vaca

jhan014 at SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media

Jiahui Han, Shengtan Wu, Xinyu Liu

JCTICOL at SemEval-2019 Task 6: Classifying Offensive Language in Social Media using Deep Learning Methods, Word/Character N-gram Features, and Preprocessing Methods

Yaakov HaCohen-Kerner, Ziv Ben-David, Gal Didi, Eli Cahn, Shalom Rochman

INGEOTEC at SemEval-2019 Task 5 and Task 6: A Genetic Programming Approach for Text Classification

Mario Graff, Sabino Miranda-Jiménez, Eric Tellez, Daniela Alejandra Ochoa

Hope at SemEval-2019 Task 6: Mining social media language to discover offensive language

Gabriel Florentin Patras, Diana Florina Lungu, Daniela Gifu, Diana Trandabat

HHU at SemEval-2019 Task 6: Context Does Matter - Tackling Offensive Language Identification and Categorization with ELMo

Alexander Oberstrass, Julia Romberg, Anke Stoll, Stefan Conrad

HAD-Tübingen at SemEval-2019 Task 6: Deep Learning Analysis of Offensive Language on Twitter: Identification and Categorization

Himanshu Bansal, Daniel Nagel, Anita Soloveva

Ghmerti at SemEval-2019 Task 6: A Deep Word- and Character-based Approach to Offensive Language Identification

Ehsan Doostmohammadi, Hossein Sameti, Ali Saffar

Fermi at SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media using Sentence Embeddings

Vijayasaradhi Indurthi, Bakhtiyar Syed, Manish Shrivastava, Manish Gupta, Vasudeva Varma

Embeddia at SemEval-2019 Task 6: Detecting Hate with Neural Network and Transfer Learning Approaches

Andraž Pelicon, Matej Martinc, Petra Kralj Novak

Emad at SemEval-2019 Task 6: Offensive Language Identification using Traditional Machine Learning and Deep Learning approaches

Emad Kebriaei, Samaneh Karimi, Nazanin Sabri, Azadeh Shakery

Duluth at SemEval-2019 Task 6: Lexical Approaches to Identify and Categorize Offensive Tweets

Ted Pedersen

NLP at SemEval-2019 Task 6: Detecting Offensive language using Neural Networks

Prashant Kapil, Asif Ekbal, Dipankar Das

DeepAnalyzer at SemEval-2019 Task 6: A deep learning-based ensemble method for identifying offensive tweets

Gretel Liz De la Peña, Paolo Rosso

DA-LD-Hildesheim at SemEval-2019 Task 6: Tracking Offensive Content with Deep Learning using Shallow Representation

Sandip Modha, Prasenjit Majumder, Daksh Patel

ConvAI at SemEval-2019 Task 6: Offensive Language Identification and Categorization with Perspective and BERT

John Pavlopoulos, Nithum Thain, Lucas Dixon, Ion Androutsopoulos

CN-HIT-MI.T at SemEval-2019 Task 6: Offensive Language Identification Based on BiLSTM with Double Attention

Yaojie Zhang, Bing Xu, Tiejun Zhao

CAMsterdam at SemEval-2019 Task 6: Neural and graph-based feature extraction for the identification of offensive tweets

Guy Aglionby, Chris Davis, Pushkar Mishra, Andrew Caines, Helen Yannakoudakis

BNU-HKBU UIC NLP Team 2 at SemEval-2019 Task 6: Detecting Offensive Language Using BERT model

Zhenghao Wu, Hao Zheng, Jianming Wang, Weifeng Su, Jefferson Fong

bhanodaig at SemEval-2019 Task 6: Categorizing Offensive Language in social media

Ritesh Kumar, Guggilla Bhanodai, Rajendra Pamula, Maheswara Reddy Chennuru

Amrita School of Engineering - CSE at SemEval-2019 Task 6: Manipulating Attention with Temporal Convolutional Neural Network for Offense Identification and Classification

Murali Sridharan, Swapna TR

YNU_DYX at SemEval-2019 Task 5: A Stacked BiGRU Model Based on Capsule Network in Detection of Hate

Yunxia Ding, Xiaobing Zhou, Xuejie Zhang

YNU NLP at SemEval-2019 Task 5: Attention and Capsule Ensemble for Identifying Hate Speech

Bin Wang, Haiyan Ding

Vista.ue at SemEval-2019 Task 5: Single Multilingual Hate Speech Detection Model

Kashyap Raiyani, Teresa Gonçalves, Paulo Quaresma, Vitor Nogueira

UTFPR at SemEval-2019 Task 5: Hate Speech Identification with Recurrent Neural Networks

Gustavo Henrique Paetzold, Marcos Zampieri, Shervin Malmasi

UNBNLP at SemEval-2019 Task 5 and 6: Using Language Models to Detect Hate Speech and Offensive Language

Ali Hakimi Parizi, Milton King, Paul Cook

UA at SemEval-2019 Task 5: Setting A Strong Linear Baseline for Hate Speech Detection

Carlos Perelló, David Tomás, Alberto Garcia-Garcia, José García-Rodríguez, Jose Camacho-Collados

Tw-StAR at SemEval-2019 Task 5: N-gram embeddings for Hate Speech Detection in Multilingual Tweets

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

TuEval at SemEval-2019 Task 5: LSTM Approach to Hate Speech Detection in English and Spanish

Mihai Manolescu, Denise Löfflad, Adham Nasser Mohamed Saber, Masoumeh Moradipour Tari

The Titans at SemEval-2019 Task 5: Detection of hate speech against immigrants and women in Twitter

Avishek Garain, Arpan Basu

The binary trio at SemEval-2019 Task 5: Multitarget Hate Speech Detection in Tweets

Patricia Chiril, Farah Benamara Zitoune, Véronique Moriceau, Abhishek Kumar

sthruggle at SemEval-2019 Task 5: An Ensemble Approach to Hate Speech Detection

Aria Nourbakhsh, Frida Vermeer, Gijs Wiltvank, Rob van der Goot

SINAI-DL at SemEval-2019 Task 5: Recurrent networks and data augmentation by paraphrasing

Arturo Montejo-Ráez, Salud María Jiménez-Zafra, Miguel A. García-Cumbreras, Manuel Carlos Díaz-Galiano

SINAI at SemEval-2019 Task 5: Ensemble learning to detect hate speech against inmigrants and women in English and Spanish tweets

Flor Miriam Plaza-del-Arco, M. Dolores Molina-González, Maite Martin, L. Alfonso Ureña-López

Saagie at Semeval-2019 Task 5: From Universal Text Embeddings and Classical Features to Domain-specific Text Classification

Miriam Benballa, Sebastien Collet, Romain Picot-Clemente

STUFIIT at SemEval-2019 Task 5: Multilingual Hate Speech Detection on Twitter with MUSE and ELMo Embeddings

Michal Bojkovský, Matúš Pikuliak

Multilingual Detection of Hate Speech Against Immigrants and Women in Twitter at SemEval-2019 Task 5: Frequency Analysis Interpolation for Hate in Speech Detection

Òscar Garibo i Orts

MITRE at SemEval-2019 Task 5: Transfer Learning for Multilingual Hate Speech Detection

Abigail Gertner, John Henderson, Elizabeth Merkhofer, Amy Marsh, Ben Wellner

MineriaUNAM at SemEval-2019 Task 5: Detecting Hate Speech in Twitter using Multiple Features in a Combinatorial Framework

Luis Enrique Argota Vega, Jorge Carlos Reyes-Magaña, Helena Gómez-adorno, Gemma Bel-Enguix

ltl.uni-due at SemEval-2019 Task 5: Simple but Effective Lexico-Semantic Features for Detecting Hate Speech in Twitter

Huangpan Zhang, Michael Wojatzki, Tobias Horsmann, Torsten Zesch

LT3 at SemEval-2019 Task 5: Multilingual Detection of Hate Speech Against Immigrants and Women in Twitter (hatEval)

Nina Bauwelinck, Gilles Jacobs, Véronique Hoste, Els Lefever

Know-Center at SemEval-2019 Task 5: Multilingual Hate Speech Detection on Twitter using CNNs

Kevin Winter, Roman Kern

JCTDHS at SemEval-2019 Task 5: Detection of Hate Speech in Tweets using Deep Learning Methods, Character N-gram Features, and Preprocessing Methods

Yaakov HaCohen-Kerner, Elyashiv Shayovitz, Shalom Rochman, Eli Cahn, Gal Didi

INF-HatEval at SemEval-2019 Task 5: Convolutional Neural Networks for Hate Speech Detection Against Women and Immigrants on Twitter

Alison Ribeiro, Nádia Silva

GL at SemEval-2019 Task 5: Identifying hateful tweets with a deep learning approach.

Gretel Liz De la Peña

HATERecognizer at SemEval-2019 Task 5: Using Features and Neural Networks to Face Hate Recognition

Victor Nina-Alcocer

HATEMINER at SemEval-2019 Task 5: Hate speech detection against Immigrants and Women in Twitter using a Multinomial Naive Bayes Classifier

Nikhil Chakravartula

GSI-UPM at SemEval-2019 Task 5: Semantic Similarity and Word Embeddings for Multilingual Detection of Hate Speech Against Immigrants and Women on Twitter

Diego Benito, Oscar Araque, Carlos A. Iglesias

Grunn2019 at SemEval-2019 Task 5: Shared Task on Multilingual Detection of Hate

Mike Zhang, Roy David, Leon Graumans, Gerben Timmerman

CiTIUS-COLE at SemEval-2019 Task 5: Combining Linguistic Features to Identify Hate Speech Against Immigrants and Women on Multilingual Tweets

Sattam Almatarneh, Pablo Gamallo, Francisco J. Ribadas Pena

CIC at SemEval-2019 Task 5: Simple Yet Very Efficient Approach to Hate Speech Detection, Aggressive Behavior Detection, and Target Classification in Twitter

Iqra Ameer, Muhammad Hammad Fahim Siddiqui, Grigori Sidorov, Alexander Gelbukh

Amobee at SemEval-2019 Tasks 5 and 6: Multiple Choice CNN Over Contextual Embedding

Alon Rozental, Dadi Biton

ABARUAH at SemEval-2019 Task 5 : Bi-directional LSTM for Hate Speech Detection

Arup Baruah, Ferdous Barbhuiya, Kuntal Dey

KDEHatEval at SemEval-2019 Task 5: A Neural Network Model for Detecting Hate Speech in Twitter

Umme Aymun Siddiqua, Abu Nowshed Chy, Masaki Aono

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

Dawei Li, Jin Wang, Xuejie Zhang

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

Cristian Simionescu, Ingrid Stoleru, Diana Lucaci, Gheorghe Balan, Iulian Bute

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

Zhishen Yang, Sam Vijlbrief, Naoaki Okazaki

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

Xihao Liang, Ye Ma, Mingxing Xu

THU_NGN at SemEval-2019 Task 3: Dialog Emotion Classification using Attentional LSTM-CNN

Suyu Ge, Tao Qi, Chuhan Wu, Yongfeng Huang

TDBot at SemEval-2019 Task 3: Context Aware Emotion Detection Using A Conditioned Classification Approach

Sourabh Maity

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

Angelo Basile, Marc Franco-Salvador, Neha Pawar, Sanja Štajner, Mara Chinea Rios

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, Srinethe Sharavanan

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, L. Alfonso Ureña-López

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

Jacob Anderson

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

Zinedine Rebiai, Simon Andersen, Antoine Debrenne, Victor Lafargue

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

Andrew Nguyen, Tobin South, Nigel Bean, Jonathan Tuke, Lewis Mitchell

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

Luyao Ma, Long Zhang, Wei Ye, Wenhui Hu

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, Maximilien Servajean

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, Animesh Mukherjee

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

Arik Pamnani, Rajat Goel, Jayesh Choudhari, Mayank Singh

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

Shabnam Tafreshi, Mona Diab

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

Dumitru Bogdan

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

Joan Xiao

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

Abdessalam Bouchekif, Praveen Joshi, Latifa Bouchekif, Haithem Afli

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

Sergey Smetanin

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

Nikhil Chakravartula, Vijayasaradhi Indurthi