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ORCID9th WASSA@EMNLP 2018: Brussels, Belgium
- Alexandra Balahur, Saif M. Mohammad, Véronique Hoste, Roman Klinger:
Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, WASSA@EMNLP 2018, Brussels, Belgium, October 31, 2018. Association for Computational Linguistics 2018, ISBN 978-1-948087-80-3 - Ellen Riloff:
Identifying Affective Events and the Reasons for their Polarity. 1 - Suzana Ilic, Edison Marrese-Taylor, Jorge A. Balazs, Yutaka Matsuo:
Deep contextualized word representations for detecting sarcasm and irony. 2-7 - Yuqi Sun, Haoyue Shi, Junfeng Hu:
Implicit Subjective and Sentimental Usages in Multi-sense Word Embeddings. 8-13 - Carl Saroufim, Akram Almatarky, Mohammad Abdelhady:
Language Independent Sentiment Analysis with Sentiment-Specific Word Embeddings. 14-23 - Emily Öhman
, Kaisla Kajava, Jörg Tiedemann, Timo Honkela:
Creating a Dataset for Multilingual Fine-grained Emotion-detection Using Gamification-based Annotation. 24-30 - Roman Klinger, Orphée De Clercq, Saif M. Mohammad, Alexandra Balahur:
IEST: WASSA-2018 Implicit Emotions Shared Task. 31-42 - Alon Rozental, Daniel Fleischer, Zohar Kelrich:
Amobee at IEST 2018: Transfer Learning from Language Models. 43-49 - Jorge A. Balazs, Edison Marrese-Taylor, Yutaka Matsuo:
IIIDYT at IEST 2018: Implicit Emotion Classification With Deep Contextualized Word Representations. 50-56 - Alexandra Chronopoulou, Aikaterini Margatina, Christos Baziotis, Alexandros Potamianos:
NTUA-SLP at IEST 2018: Ensemble of Neural Transfer Methods for Implicit Emotion Classification. 57-64 - Jan Lukes, Anders Søgaard:
Sentiment analysis under temporal shift. 65-71 - Ivan Sekulic, Matej Gjurkovic, Jan Snajder:
Not Just Depressed: Bipolar Disorder Prediction on Reddit. 72-78 - Sumit Bhatia, Deepak P:
Topic-Specific Sentiment Analysis Can Help Identify Political Ideology. 79-84 - Jon Alkorta, Koldo Gojenola, Mikel Iruskieta:
Saying no but meaning yes: negation and sentiment analysis in Basque. 85-90 - Rong Xiang, Yunfei Long, Qin Lu, Dan Xiong, I-Hsuan Chen:
Leveraging Writing Systems Change for Deep Learning Based Chinese Emotion Analysis. 91-96 - Mats Byrkjeland, Frederik Gørvell de Lichtenberg, Björn Gambäck:
Ternary Twitter Sentiment Classification with Distant Supervision and Sentiment-Specific Word Embeddings. 97-106 - Tobias Daudert, Paul Buitelaar:
Linking News Sentiment to Microblogs: A Distributional Semantics Approach to Enhance Microblog Sentiment Classification. 107-115 - Caroline Brun, Vassilina Nikoulina:
Aspect Based Sentiment Analysis into the Wild. 116-122 - Ilia Markov, Vivi Nastase, Carlo Strapparava, Grigori Sidorov:
The Role of Emotions in Native Language Identification. 123-129 - Artaches Ambartsoumian, Fred Popowich:
Self-Attention: A Better Building Block for Sentiment Analysis Neural Network Classifiers. 130-139 - Yunfei Long, Mingyu Ma, Qin Lu, Rong Xiang, Chu-Ren Huang:
Dual Memory Network Model for Biased Product Review Classification. 140-148 - Amaru Cuba Gyllensten, Magnus Sahlgren:
Measuring Issue Ownership using Word Embeddings. 149-155 - Rasoul Kaljahi, Jennifer Foster:
Sentiment Expression Boundaries in Sentiment Polarity Classification. 156-166 - Ramit Sawhney, Prachi Manchanda, Puneet Mathur, Rajiv Ratn Shah, Raj Singh:
Exploring and Learning Suicidal Ideation Connotations on Social Media with Deep Learning. 167-175 - Gustavo Paetzold:
UTFPR at IEST 2018: Exploring Character-to-Word Composition for Emotion Analysis. 176-181 - Behzad Naderalvojoud, Alaettin Ucan, Ebru Akcapinar Sezer:
HUMIR at IEST-2018: Lexicon-Sensitive and Left-Right Context-Sensitive BiLSTM for Implicit Emotion Recognition. 182-188 - Qimin Zhou, Hao Wu:
NLP at IEST 2018: BiLSTM-Attention and LSTM-Attention via Soft Voting in Emotion Classification. 189-194 - Flor Miriam Plaza del Arco, Eugenio Martínez-Cámara, Maite Martín-Valdivia, Luis Alfonso Ureña López:
SINAI at IEST 2018: Neural Encoding of Emotional External Knowledge for Emotion Classification. 195-200 - Man Liu:
EmoNLP at IEST 2018: An Ensemble of Deep Learning Models and Gradient Boosting Regression Tree for Implicit Emotion Prediction in Tweets. 201-204 - Wenting Wang, Man Lan:
HGSGNLP at IEST 2018: An Ensemble of Machine Learning and Deep Neural Architectures for Implicit Emotion Classification in Tweets. 205-210 - Yasas Senarath, Uthayasanker Thayasivam:
DataSEARCH at IEST 2018: Multiple Word Embedding based Models for Implicit Emotion Classification of Tweets with Deep Learning. 211-216 - Samuel Pecar, Michal Farkas, Marián Simko, Peter Lacko, Mária Bieliková:
NL-FIIT at IEST-2018: Emotion Recognition utilizing Neural Networks and Multi-level Preprocessing. 217-223 - Pavel Pribán, Jirí Martínek:
UWB at IEST 2018: Emotion Prediction in Tweets with Bidirectional Long Short-Term Memory Neural Network. 224-230 - Esteban A. Ríssola, Anastasia Giachanou, Fabio Crestani:
USI-IR at IEST 2018: Sequence Modeling and Pseudo-Relevance Feedback for Implicit Emotion Detection. 231-234 - Thomas Proisl, Philipp Heinrich, Besim Kabashi, Stefan Evert:
EmotiKLUE at IEST 2018: Topic-Informed Classification of Implicit Emotions. 235-242 - Vachagan Gratian, Marina Haid:
BrainT at IEST 2018: Fine-tuning Multiclass Perceptron For Implicit Emotion Classification. 243-247 - Wojciech Witon, Pierre Colombo, Ashutosh Modi, Mubbasir Kapadia:
Disney at IEST 2018: Predicting Emotions using an Ensemble. 248-253 - Prabod Rathnayaka, Supun Abeysinghe, Chamod Samarajeewa, Isura Manchanayake, Malaka J. Walpola:
Sentylic at IEST 2018: Gated Recurrent Neural Network and Capsule Network Based Approach for Implicit Emotion Detection. 254-259 - Viraj Salaka Gamage, Menuka Warushavithana, Nisansa de Silva, Amal Shehan Perera, Gathika Ratnayaka, Thejan Rupasinghe:
Fast Approach to Build an Automatic Sentiment Annotator for Legal Domain using Transfer Learning. 260-265 - Reshmi Gopalakrishna Pillai, Mike Thelwall, Constantin Orasan:
What Makes You Stressed? Finding Reasons From Tweets. 266-272 - Bogdan Mazoure, Thang Doan, Saibal Ray:
EmojiGAN: learning emojis distributions with a generative model. 273-279 - Gavin Abercrombie, Riza Theresa Batista-Navarro:
Identifying Opinion-Topics and Polarity of Parliamentary Debate Motions. 280-285 - Sven van den Beukel, Lora Aroyo:
Homonym Detection For Humor Recognition In Short Text. 286-291 - Peng Xu, Andrea Madotto, Chien-Sheng Wu, Ji Ho Park, Pascale Fung:
Emo2Vec: Learning Generalized Emotion Representation by Multi-task Training. 292-298 - Hardik Meisheri, Harshad Khadilkar:
Learning representations for sentiment classification using Multi-task framework. 299-308 - Baohua Sun, Lin Yang, Patrick Dong, Wenhan Zhang, Jason Dong, Charles Young:
Super Characters: A Conversion from Sentiment Classification to Image Classification. 309-315 - Nils Rethmeier, Marc Hübner, Leonhard Hennig:
Learning Comment Controversy Prediction in Web Discussions Using Incidentally Supervised Multi-Task CNNs. 316-321 - Skanda Muralidhar, Laurent Son Nguyen, Daniel Gatica-Perez:
Words Worth: Verbal Content and Hirability Impressions in YouTube Video Resumes. 322-327 - Lisa Hilte, Walter Daelemans, Reinhild Vandekerckhove:
Predicting Adolescents' Educational Track from Chat Messages on Dutch Social Media. 328-334 - Imane Guellil, Ahsan Adeel, Faiçal Azouaou, Fodil Benali, Ala-Eddine Hachani, Amir Hussain:
Arabizi sentiment analysis based on transliteration and automatic corpus annotation. 335-341 - Hassan Alhuzali, Mohamed Elaraby, Muhammad Abdul-Mageed:
UBC-NLP at IEST 2018: Learning Implicit Emotion With an Ensemble of Language Models. 342-347
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