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Fusing task-oriented and open-domain dialogues in conversational agents


Sep 09, 2021
Tom Young, Frank Xing, Vlad Pandelea, Jinjie Ni, Erik Cambria


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Multi-task Balanced and Recalibrated Network for Medical Code Prediction


Sep 06, 2021
Wei Sun, Shaoxiong Ji, Erik Cambria, Pekka Marttinen


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MELM: Data Augmentation with Masked Entity Language Modeling for Cross-lingual NER


Aug 31, 2021
Ran Zhou, Ruidan He, Xin Li, Lidong Bing, Erik Cambria, Luo Si, Chunyan Miao


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MuSe-Toolbox: The Multimodal Sentiment Analysis Continuous Annotation Fusion and Discrete Class Transformation Toolbox


Jul 25, 2021
Lukas Stappen, Lea Schumann, Benjamin Sertolli, Alice Baird, Benjamin Weigel, Erik Cambria, Björn W. Schuller

* (1) https://github.com/lstappen/MuSe-Toolbox (2) docker pull musetoolbox/musetoolbox 

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Graph Routing between Capsules


Jun 22, 2021
Yang Li, Wei Zhao, Erik Cambria, Suhang Wang, Steffen Eger

* Neural Network 2021 

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MICE: A Crosslinguistic Emotion Corpus in Malay, Indonesian, Chinese and English


Jun 09, 2021
Ng Bee Chin, Yosephine Susanto, Erik Cambria


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Recent Advances in Deep Learning Based Dialogue Systems: A Systematic Survey


Jun 01, 2021
Jinjie Ni, Tom Young, Vlad Pandelea, Fuzhao Xue, Vinay Adiga, Erik Cambria

* 76 pages, 19 figures 

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Recent Advances in Deep Learning-based Dialogue Systems


May 13, 2021
Jinjie Ni, Tom Young, Vlad Pandelea, Fuzhao Xue, Vinay Adiga, Erik Cambria

* 75 pages, 19 figures 

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BLM-17m: A Large-Scale Dataset for Black Lives Matter Topic Detection on Twitter


May 04, 2021
Hasan Kemik, Nusret Özateş, Meysam Asgari-Chenaghlu, Erik Cambria


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Multitask Recalibrated Aggregation Network for Medical Code Prediction


Apr 30, 2021
Wei Sun, Shaoxiong Ji, Erik Cambria, Pekka Marttinen


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The MuSe 2021 Multimodal Sentiment Analysis Challenge: Sentiment, Emotion, Physiological-Emotion, and Stress


Apr 14, 2021
Lukas Stappen, Alice Baird, Lukas Christ, Lea Schumann, Benjamin Sertolli, Eva-Maria Messner, Erik Cambria, Guoying Zhao, Björn W. Schuller


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A Novel Context-Aware Multimodal Framework for Persian Sentiment Analysis


Mar 03, 2021
Kia Dashtipour, Mandar Gogate, Erik Cambria, Amir Hussain

* Accepted in Neurocomputing 

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A Survey on Personality-Aware Recommendation Systems


Jan 28, 2021
Sahraoui Dhelim, Nyothiri Aung, Mohammed Amine Bouras, Huansheng Ning, Erik Cambria

* Under review in Artificial Intelligence Review 

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Multitask Learning for Emotion and Personality Detection


Jan 07, 2021
Yang Li, Amirmohammad Kazameini, Yash Mehta, Erik Cambria


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A Survey on Deep Reinforcement Learning for Audio-Based Applications


Jan 01, 2021
Siddique Latif, Heriberto Cuayáhuitl, Farrukh Pervez, Fahad Shamshad, Hafiz Shehbaz Ali, Erik Cambria

* Under Review 

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Improving Zero Shot Learning Baselines with Commonsense Knowledge


Dec 11, 2020
Abhinaba Roy, Deepanway Ghosal, Erik Cambria, Navonil Majumder, Rada Mihalcea, Soujanya Poria


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Personality Trait Detection Using Bagged SVM over BERT Word Embedding Ensembles


Oct 03, 2020
Amirmohammad Kazameini, Samin Fatehi, Yash Mehta, Sauleh Eetemadi, Erik Cambria

* Proceedings of the The Fourth Widening Natural Language Processing Workshop (2020) 

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Dilated Convolutional Attention Network for Medical Code Assignment from Clinical Text


Sep 30, 2020
Shaoxiong Ji, Erik Cambria, Pekka Marttinen

* The 3rd Clinical Natural Language Processing Workshop at EMNLP 2020 

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BiERU: Bidirectional Emotional Recurrent Unit for Conversational Sentiment Analysis


May 31, 2020
Wei Li, Wei Shao, Shaoxiong Ji, Erik Cambria

* 9 pages, 7 figures 

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A review of sentiment analysis research in Arabic language


May 25, 2020
Oumaima Oueslati, Erik Cambria, Moez Ben HajHmida, Habib Ounelli


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MuSe 2020 -- The First International Multimodal Sentiment Analysis in Real-life Media Challenge and Workshop


Apr 30, 2020
Lukas Stappen, Alice Baird, Georgios Rizos, Panagiotis Tzirakis, Xinchen Du, Felix Hafner, Lea Schumann, Adria Mallol-Ragolta, Björn W. Schuller, Iulia Lefter, Erik Cambria, Ioannis Kompatsiaris

* Baseline Paper MuSe 2020, MuSe Workshop Challenge, ACM Multimedia 

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Suicidal Ideation and Mental Disorder Detection with Attentive Relation Networks


Apr 16, 2020
Shaoxiong Ji, Xue Li, Zi Huang, Erik Cambria


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Deep Learning Based Text Classification: A Comprehensive Review


Apr 06, 2020
Shervin Minaee, Nal Kalchbrenner, Erik Cambria, Narjes Nikzad, Meysam Chenaghlu, Jianfeng Gao


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The Four Dimensions of Social Network Analysis: An Overview of Research Methods, Applications, and Software Tools


Feb 21, 2020
David Camacho, Àngel Panizo-LLedot, Gema Bello-Orgaz, Antonio Gonzalez-Pardo, Erik Cambria

* This paper is currently under evaluation in Information Fusion journal 

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A Survey on Knowledge Graphs: Representation, Acquisition and Applications


Feb 02, 2020
Shaoxiong Ji, Shirui Pan, Erik Cambria, Pekka Marttinen, Philip S. Yu

* 25 pages, 10 figures, 9 tables 

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Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications


Oct 23, 2019
Shaoxiong Ji, Shirui Pan, Xue Li, Erik Cambria, Guodong Long, Zi Huang


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Recent Trends in Deep Learning Based Personality Detection


Aug 27, 2019
Yash Mehta, Navonil Majumder, Alexander Gelbukh, Erik Cambria


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