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Seq2Emo: A Sequence to Multi-Label Emotion Classification Model
Multi-label emotion classification is an important task in NLP and is essential to many applications. In this work, we propose a …
Chenyang Huang, Amine Trabelsi, Xuebin Qin, Nawshad Farruque, Lili Mou, Osmar R. Zaïane
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ANA at SemEval-2020 Task 4: MUlti-task learNIng for cOmmonsense reasoNing (UNION)
In this paper, we describe our mUlti-task learNIng for cOmmonsense reasoNing (UNION) system submitted for Task C of the SemEval2020 …
Anandh Konar, Chenyang Huang, Amine Trabelsi, Osmar R. Zaïane
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WEXEA: Wikipedia EXhaustive Entity Annotation
Building predictive models for information extraction from text, such as named entity recognition or the extraction of semantic …
Michael Strobl, Amine Trabelsi, Osmar R. Zaïane
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Self-Attentional Models Application in Task-Oriented Dialogue Generation Systems
Self-attentional models are a new paradigm for sequence modelling tasks which differ from common sequence modelling methods, such as …
Mansour Saffar Mehrjardi, Amine Trabelsi, Osmar R. Zaïane
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PhAITV: A Phrase Author Interaction Topic Viewpoint Model for the Summarization of Reasons Expressed by Polarized Stances
Amine Trabelsi, Osmar R. Zaïane
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ANA at SemEval-2019 Task 3: Contextual Emotion detection in Conversations through hierarchical LSTMs and BERT
This paper describes the system submitted by ANA Team for the SemEval-2019 Task 3: EmoContext. We propose a novel Hierarchi- cal LSTMs …
Chenyang Huang, Amine Trabelsi, Osmar R. Zaïane
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An ensemble framework with l21-norm regularized hypergraph laplacian multi-label learning for clinical data prediction
Peng Cao, Shanshan Tang, Min Huang, Jinzhu Yang, Dazhe Zhao, Amine Trabelsi, Osmar R. Zaïane
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Contrastive Reasons Detection and Clustering from Online Polarized Debate
Amine Trabelsi, Osmar R. Zaïane
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Feature-aware Multi-task feature learning for Predicting Cognitive Outcomes in Alzheimer's disease
Peng Cao, Shanshan Tang, Min Huang, Jinzhu Yang, Dazhe Zhao, Amine Trabelsi, Osmar R. Zaïane
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Automatic Dialogue Generation with Expressed Emotions
Despite myriad efforts in the literature designing neural dialogue generation systems in recent years, very few consider putting …
Chenyang Huang, Osmar R. Zaïane, Amine Trabelsi, Nouha Dziri
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