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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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Business Taxonomy Construction Using Concept-Level Hierarchical Clustering

Jun 24, 2019
Haodong Bai, Frank Z. Xing, Erik Cambria, Win-Bin Huang

* Accepted to The First Workshop on Financial Technology and Natural Language Processing ([email protected]

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Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications

Jun 06, 2019
Wei Zhao, Haiyun Peng, Steffen Eger, Erik Cambria, Min Yang

* 11 pages, ACL19 Camera Ready 

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Can a Humanoid Robot be part of the Organizational Workforce? A User Study Leveraging Sentiment Analysis

May 30, 2019
Nidhi Mishra, Manoj Ramanathan, Ranjan Satapathy, Erik Cambria, Nadia Magnenat-Thalmann

* Submitted to IEEE RO-MAN2019 

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Can a Humanoid Robot be part of Organizational Work Force? A User Study leveraging on Sentiment Analysis

May 22, 2019
Nidhi Mishra, Manoj Ramanathan, Ranjan Satapathy, Erik Cambria, Nadia Magnenat-Thalmann

* Submitted in IEEE RO-MAN 

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PhonSenticNet: A Cognitive Approach to Microtext Normalization for Concept-Level Sentiment Analysis

Apr 24, 2019
Ranjan Satapathy, Aalind Singh, Erik Cambria

* This paper is submitted to INTERSPEECH2019 

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"Hang in There": Lexical and Visual Analysis to Identify Posts Warranting Empathetic Responses

Mar 12, 2019
Mimansa Jaiswal, Sairam Tabibu, Erik Cambria

* 4 pages, FLAIRS 2017 

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Aspect-Sentiment Embeddings for Company Profiling and Employee Opinion Mining

Feb 22, 2019
Rajiv Bajpai, Devamanyu Hazarika, Kunal Singh, Sruthi Gorantla, Erik Cambria, Roger Zimmerman

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Sentiment and Sarcasm Classification with Multitask Learning

Jan 23, 2019
Navonil Majumder, Soujanya Poria, Haiyun Peng, Niyati Chhaya, Erik Cambria, Alexander Gelbukh

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Phonetic-enriched Text Representation for Chinese Sentiment Analysis with Reinforcement Learning

Jan 23, 2019
Haiyun Peng, Yukun Ma, Soujanya Poria, Yang Li, Erik Cambria

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Discovering Power Laws in Entity Length

Dec 02, 2018
Xiaoshi Zhong, Erik Cambria, Jagath C. Rajapakse

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DialogueRNN: An Attentive RNN for Emotion Detection in Conversations

Nov 03, 2018
Navonil Majumder, Soujanya Poria, Devamanyu Hazarika, Rada Mihalcea, Alexander Gelbukh, Erik Cambria

* AAAI 2019 

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Named Entity Analysis and Extraction with Uncommon Words

Oct 16, 2018
Xiaoshi Zhong, Erik Cambria, Jagath C. Rajapkse

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Recent Trends in Deep Learning Based Natural Language Processing

Oct 10, 2018
Tom Young, Devamanyu Hazarika, Soujanya Poria, Erik Cambria

* Added Squad 

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Semantically Enhanced Models for Commonsense Knowledge Acquisition

Sep 27, 2018
Ikhlas Alhussien, Erik Cambria, Zhang NengSheng

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