| 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 Microsoft |
| 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 RISE SICS |
|
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 alibaba |
|
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 |