WASSA 2018: Program

Wednesday, October 31, 2018
08:30 - 08:45    Opening Remarks
08:45 - 09:20    Invited talk
08:45 - 09:20    Identifying Affective Events and the Reasons for their Polarity
Ellen Riloff
University of Utah
09:20 - 10:35    Session 1: Resources and representations for affect detection from text
Chair: Alexandra Balahur
09:20 - 09:40    Deep contextualized word representations for detecting sarcasm and irony
Suzana Ilić1, Edison Marrese-Taylor2, Jorge Balazs3, Yutaka Matsuo3
1University of Innsbruck, 2The University of Tokyo, 3University of Tokyo
09:40 - 10:00    Implicit Subjective and Sentimental Usages in Multi-sense Word Embeddings
Yuqi Sun, Haoyue Shi, Junfeng Hu
School of Electronics Engineering and Computer Science, Peking University
10:00 - 10:20    Language Independent Sentiment Analysis with Sentiment-Specific Word Embeddings
Carl Saroufim, Akram Almatarky, Mohammad AbdelHady
10:20 - 10:35    Creating a Dataset for Multilingual Fine-grained Emotion-detection Using Gamification-based Annotation
Emily Öhman, Kaisla Kajava, Jörg Tiedemann, Timo Honkela
University of Helsinki
10:35 - 11:00    Tea/Coffee Break
11:00 - 12:30    Session 2: The WASSA Shared Task on Emotion Intensity
Chair: Roman Klinger
11:00 - 11:25    IEST: WASSA-2018 Implicit Emotions Shared Task
Roman Klinger1, Orphee De Clercq2, Saif Mohammad3, Alexandra Balahur4
1University of Stuttgart, 2LT3, Language and Translation Technology Team, Ghent University, 3NRC, 4Joint Research Centre, European Commission
11:25 - 11:50    Amobee at IEST 2018: Transfer Learning from Language Models
Alon Rozental1, Daniel Fleischer2, Zohar Kelrich1
1Amobee Inc. Tel Aviv, 2Amobee, Tel Aviv
11:50 - 12:10    IIIDYT at IEST 2018: Implicit Emotion Classification With Deep Contextualized Word Representations
Jorge Balazs1, Edison Marrese-Taylor2, Yutaka Matsuo1
1University of Tokyo, 2The University of Tokyo
12:10 - 12:30    NTUA-SLP at IEST 2018: Ensemble of Neural Transfer Methods for Implicit Emotion Classification
Alexandra Chronopoulou1, Aikaterini Margatina1, Christos Baziotis2, Alexandros Potamianos2
1School of ECE, National Technical University of Athens, 2National Technical University of Athens
12:30 - 14:00    Lunch Break
14:00 - 15:30    Session 3: Affect detection: issues and applications (I)
Chair: Saif Mohammad
14:00 - 14:20    Sentiment analysis under temporal shift
Jan Lukeš and Anders Søgaard
University of Copenhagen
14:20 - 14:40    Not Just Depressed: Bipolar Disorder Prediction on Reddit
Ivan Sekulic1, Matej Gjurković2, Jan Šnajder3
1University of Zagreb, 2TakeLab, Faculty of Electrical Engineering and Computing, University of Zagreb, 3University of Zagreb, Faculty of Electrical Engineering and Computing, Unska 3, 10000 Zagreb
14:40 - 15:00    Topic-Specific Sentiment Analysis Can Help Identify Political Ideology
Sumit Bhatia1 and Deepak P2
1IBM Research, 2Queen's University Belfast
15:00 - 15:15    Saying no but meaning yes: negation and sentiment analysis in Basque
Jon Alkorta1, Koldo Gojenola2, Mikel Iruskieta3
1University of the Basque Country, 2School of Engineering, University of the Basque Country UPV-EHU, 3University of the Basque Country (UPV/EHU)
15:15 - 15:30    Leveraging Writing Systems Change for Deep Learning Based Chinese Emotion Analysis
Rong Xiang1, Yunfei Long2, Qin Lu3, Dan Xiong1, I-Hsuan Chen1
1The Hong Kong Polytechnic University, 2Department of Computing,The Hong Kong Polytechnic University, 3Hong Kong Polytechnic University
15:30 - 16:00    Tea/Coffee Break
16:00 - 17:15    Session 4: Affect detection: issues and applications (II)
Chair: Veronique Hoste
16:00 - 16:20    Ternary Twitter Sentiment Classification with Distant Supervision and Sentiment-Specific Word Embeddings
Mats Byrkjeland, Frederik Gørvell de Lichtenberg, Björn Gambäck
Norwegian University of Science and Technology
16:20 - 16:40    Linking News Sentiment to Microblogs: A Distributional Semantics Approach to Enhance Microblog Sentiment Classification
Tobias Daudert1 and Paul Buitelaar2
1Insight Centre for Data Analytics @ NUI Galway, 2Insight Centre for Data Analytics, National University of Ireland Galway
16:40 - 17:00    Aspect Based Sentiment Analysis into the Wild
Caroline Brun and Vassilina Nikoulina
Naver Labs Europe
17:00 - 17:15    The Role of Emotions in Native Language Identification
Ilia Markov1, Vivi Nastase2, Carlo Strapparava3, Grigori Sidorov4
1INRIA, 2University of Heidelberg, 3FBK-irst, 4Instituto Politécnico Nacional
17:15 - 17:20    Break
17:20 - 18:30    Session 5: Posters
   Self-Attention: A Better Building Block for Sentiment Analysis Neural Network Classifiers
Artaches Ambartsoumian and Fred Popowich
Simon Fraser University
   Dual Memory Network Model for Biased Product Review Classification
Yunfei Long1, Mingyu Ma1, Qin Lu2, Rong Xiang3, Chu-Ren Huang4
1Department of Computing,The Hong Kong Polytechnic University, 2Hong Kong Polytechnic University, 3The Hong Kong Polytechnic University, 4The Hong Kong Polytechnic Universiy
   Measuring Issue Ownership using Word Embeddings
Amaru Cuba Gyllensten and Magnus Sahlgren
   Sentiment Expression Boundaries in Sentiment Polarity Classification
Rasoul Kaljahi and Jennifer Foster
Dublin City University
   Exploring and Learning Suicidal Ideation Connotations on Social Media with Deep Learning
Ramit Sawhney1, Prachi Manchanda2, Puneet Mathur2, Rajiv Shah3, Raj Singh4
1Netaji Subhas Institute of Technology, New Delhi, 110078, India, 2Netaji Subhas Institute of Technology, 3IIIT Delhi, 4Netaji Subhas Institute of Technology, New Delhi
   UTFPR at IEST 2018: Exploring Character-to-Word Composition for Emotion Analysis
Gustavo Paetzold
Federal University of Technology
   HUMIR at IEST-2018: Lexicon-Sensitive and Left-Right Context-Sensitive BiLSTM for Implicit Emotion Recognition
Behzad Naderalvojoud, Alaettin Ucan, Ebru Akcapinar Sezer
Hacettepe University
   NLP at IEST 2018: BiLSTM-Attention and LSTM-Attention via Soft Voting in Emotion Classification
Qimin Zhou and Hao Wu
University of Yunnan at China
   SINAI at IEST 2018: Neural Encoding of Emotional External Knowledge for Emotion Classification
Flor Miriam Plaza del Arco1, Eugenio Martínez-Cámara2, Maite Martin3, L. Alfonso Urena Lopez4
1Universidad de Jaén, 2Universidad de Granada, 3Univeristy of Jaen, 4University of Jaen
   EmoNLP at IEST 2018: An Ensemble of Deep Learning Models and Gradient Boosting Regression Tree for Implicit Emotion Prediction in Tweets
Man Liu
Independent Researcher
   HGSGNLP at IEST 2018: An Ensemble of Machine Learning and Deep Neural Architectures for Implicit Emotion Classification in Tweets
wenting wang
   DataSEARCH at IEST 2018: Multiple Word Embedding based Models for Implicit Emotion Classification of Tweets with Deep Learning
Yasas Senarath and Uthayasanker Thayasivam
University of Moratuwa
   NL-FIIT at IEST-2018: Emotion Recognition utilizing Neural Networks and Multi-level Preprocessing
Samuel Pecar1, Michal Farkaš2, Marian Simko3, Peter Lacko4, Maria Bielikova1
1Slovak university of technology in Bratislava, 2FIIT STU, 3Slovak University of Technology, 4Faculty of Informatics and Information Technologies STU in Bratislava
   UWB at IEST 2018: Emotion Prediction in Tweets with Bidirectional Long Short-Term Memory Neural Network
Pavel Přibáň and Jiří Martínek
University of West Bohemia
   USI-IR at IEST 2018: Sequence Modeling and Pseudo-Relevance Feedback for Implicit Emotion Detection
Esteban Rissola, Anastasia Giachanou, Fabio Crestani
Università della Svizzera italiana
   EmotiKLUE at IEST 2018: Topic-Informed Classification of Implicit Emotions
Thomas Proisl1, Philipp Heinrich2, Besim Kabashi2, Stefan Evert1
1FAU Erlangen-Nürnberg, 2Friedrich-Alexander-Universität Erlangen-Nürnberg
   BrainT at IEST 2018: Fine-tuning Multiclass Perceptron For Implicit Emotion Classification
Vachagan Gratian and Marina Haid
University of Stuttgart
   Disney at IEST 2018: Predicting Emotions using an Ensemble
Wojciech Witon1, Pierre Colombo1, Ashutosh Modi1, Mubbasir Kapadia2
1Disney Research, 2Disney Research, Rutgers University
   Sentylic at IEST 2018: Gated Recurrent Neural Network and Capsule Network Based Approach for Implicit Emotion Detection
Prabod Rathnayaka, Supun Abeysinghe, Chamod Samarajeewa, Isura Manchanayake, Malaka Walpola
University of Moratuwa
   Fast Approach to Build an Automatic Sentiment Annotator for Legal Domain using Transfer Learning
Viraj Salaka, Menuka Warushavithana, Nisansa de Silva, Amal Shehan Perera, Gathika Ratnayaka, Thejan Rupasinghe
University of Moratuwa
   What Makes You Stressed? Finding Reasons From Tweets
Reshmi Gopalakrishna Pillai, Mike Thelwall, Constantin Orasan
University of Wolverhampton
   EmojiGAN: learning emojis distributions with a generative model
Bogdan Mazoure, Thang DOAN, Saibal Ray
McGill University
   Identifying Opinion-Topics and Polarity of Parliamentary Debate Motions
Gavin Abercrombie1 and Riza Theresa Batista-Navarro2
1University of Manchester, 2The National Centre for Text Mining, The University of Manchester
   Homonym Detection For Humor Recognition In Short Text
Sven van den Beukel and Lora Aroyo
VU Amsterdam
   Emo2Vec: Learning Generalized Emotion Representation by Multi-task Training
Peng Xu1, Andrea Madotto1, Chien-Sheng Wu2, Ji Ho Park1, Pascale Fung3
1The Hong Kong University of Science and Technology, 2Hong Kong University of Science and Technology, 3
   Learning representations for sentiment classification using Multi-task framework
Hardik Meisheri and Harshad Khadilkar
TCS Research
   Super Characters: A Conversion from Sentiment Classification to Image Classification
Baohua Sun, Lin Yang, Patrick Dong, Wenhan Zhang, Jason Dong, Charles Young
Gyrfalcon Technology Inc.
   Learning Comment Controversy Prediction in Web Discussions Using Incidentally Supervised Multi-Task CNNs
Nils Rethmeier1, Marc Hübner1, Leonhard Hennig2
1DFKI, 2German Research Center for Artificial Intelligence
   Words Worth: Verbal Content and Hirability Impressions in YouTube Video Resumes
Skanda Muralidhar1, Laurent Nguyen1, Daniel Gatica-Perez2
1Idiap Research Institute, 2Idiap Research Institute; EPFL
   Predicting Adolescents' Educational Track from Chat Messages on Dutch Social Media
Lisa Hilte, Walter Daelemans, Reinhild Vandekerckhove
University of Antwerp
   Arabizi sentiment analysis based on transliteration and automatic corpus annotation
Imane GUELLIL1, Ahsan Adeel2, Faical AZOUAOU1, fodil benali1, Ala-eddine Hachani1, Amir Hussain2
1Ecole nationale Supérieure d’Informatique,BP 68M, 16309, Oued-Smar, Alger, Algérie, 2Institute of Computing science and Mathematics, School of Natural Sciences University of Stirling Stirling UK
   UBC-NLP at IEST 2018: Learning Implicit Emotion With an Ensemble of Language Models
Hassan Alhuzali1, Mohamed Elaraby2, Muhammad Abdul-Mageed2
1University of British Columbia, 2The University of British Columbia