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2020 – today
- 2023
[j171]Kai He
, Yucheng Huang, Rui Mao, Tieliang Gong, Chen Li, Erik Cambria:
Virtual prompt pre-training for prototype-based few-shot relation extraction. Expert Syst. Appl. 213(Part): 118927 (2023)- [j170]Qika Lin, Rui Mao, Jun Liu, Fangzhi Xu, Erik Cambria:
Fusing topology contexts and logical rules in language models for knowledge graph completion. Inf. Fusion 90: 253-264 (2023) - [j169]Jintao Wen, Dazhi Jiang, Geng Tu, Cheng Liu, Erik Cambria:
Dynamic interactive multiview memory network for emotion recognition in conversation. Inf. Fusion 91: 123-133 (2023) - [j168]Mauajama Firdaus, Asif Ekbal, Erik Cambria:
Multitask learning for multilingual intent detection and slot filling in dialogue systems. Inf. Fusion 91: 299-315 (2023) - [j167]Ankita Gandhi, Kinjal Adhvaryu, Soujanya Poria, Erik Cambria, Amir Hussain:
Multimodal sentiment analysis: A systematic review of history, datasets, multimodal fusion methods, applications, challenges and future directions. Inf. Fusion 91: 424-444 (2023) - [j166]Yu Ma, Rui Mao, Qika Lin, Peng Wu, Erik Cambria:
Multi-source aggregated classification for stock price movement prediction. Inf. Fusion 91: 515-528 (2023) - [j165]Erik Cambria, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Navid Nobani:
A survey on XAI and natural language explanations. Inf. Process. Manag. 60(1): 103111 (2023) - [j164]Mohammad Al-Smadi, Mahmoud M. Hammad, Sa'ad A. Al-Zboon, Saja AL-Tawalbeh, Erik Cambria:
Gated recurrent unit with multilingual universal sentence encoder for Arabic aspect-based sentiment analysis. Knowl. Based Syst. 261: 107540 (2023) - 2022
- [j163]Tahani H. Alwaneen, Aqil M. Azmi, Hatim A. Aboalsamh, Erik Cambria, Amir Hussain:
Arabic question answering system: a survey. Artif. Intell. Rev. 55(1): 207-253 (2022) - [j162]Sahraoui Dhelim, Nyothiri Aung, Mohammed Amine Bouras, Huansheng Ning, Erik Cambria:
A survey on personality-aware recommendation systems. Artif. Intell. Rev. 55(3): 2409-2454 (2022) - [j161]Lorenzo Malandri, Carlos Porcel, Frank Xing, Jesús Serrano-Guerrero, Erik Cambria:
Soft computing for recommender systems and sentiment analysis. Appl. Soft Comput. 118: 108246 (2022) - [j160]Arwa Diwali, Kia Dashtipour, Kawther Saeedi, Mandar Gogate, Erik Cambria, Amir Hussain:
Arabic sentiment analysis using dependency-based rules and deep neural networks. Appl. Soft Comput. 127: 109377 (2022) - [j159]Erik Cambria, Amir Hussain:
Guest Editorial: A Decade of Sentic Computing. Cogn. Comput. 14(1): 1-4 (2022) - [j158]Yosephine Susanto, Erik Cambria, Ng Bee Chin, Amir Hussain:
Ten Years of Sentic Computing. Cogn. Comput. 14(1): 5-23 (2022) - [j157]Vibeke Sørensen, J. Stephen Lansing, Nagaraju Thummanapalli, Erik Cambria:
Mood of the Planet: Challenging Visions of Big Data in the Arts. Cogn. Comput. 14(1): 310-321 (2022) - [j156]Abhinaba Roy, Deepanway Ghosal, Erik Cambria, Navonil Majumder, Rada Mihalcea, Soujanya Poria:
Improving Zero-Shot Learning Baselines with Commonsense Knowledge. Cogn. Comput. 14(6): 2212-2222 (2022) - [j155]Shervin Minaee, Nal Kalchbrenner, Erik Cambria, Narjes Nikzad, Meysam Chenaghlu, Jianfeng Gao:
Deep Learning-based Text Classification: A Comprehensive Review. ACM Comput. Surv. 54(3): 62:1-62:40 (2022) - [j154]Mauro Dragoni, Ivan Donadello, Erik Cambria:
OntoSenticNet 2: Enhancing Reasoning Within Sentiment Analysis. IEEE Intell. Syst. 37(2): 103-110 (2022) - [j153]Ranjan Satapathy, Shweta Pardeshi, Erik Cambria:
Polarity and Subjectivity Detection with Multitask Learning and BERT Embedding. Future Internet 14(7): 191 (2022) - [j152]Wei Li, Wei Shao, Shaoxiong Ji, Erik Cambria:
BiERU: Bidirectional emotional recurrent unit for conversational sentiment analysis. Neurocomputing 467: 73-82 (2022) - [j151]Yang Li, Amirmohammad Kazemeini, Yash Mehta, Erik Cambria:
Multitask learning for emotion and personality traits detection. Neurocomputing 493: 340-350 (2022) - [j150]Rui Mao, Xiao Li, Mengshi Ge, Erik Cambria:
MetaPro: A computational metaphor processing model for text pre-processing. Inf. Fusion 86-87: 30-43 (2022) - [j149]J. Ashok Kumar, Tina Esther Trueman, Erik Cambria:
Gender-based multi-aspect sentiment detection using multilabel learning. Inf. Sci. 606: 453-468 (2022) - [j148]Bin Liang, Hang Su, Lin Gui, Erik Cambria, Ruifeng Xu:
Aspect-based sentiment analysis via affective knowledge enhanced graph convolutional networks. Knowl. Based Syst. 235: 107643 (2022) - [j147]Erik Cambria, Akshi Kumar, Mahmoud Al-Ayyoub, Newton Howard:
Guest Editorial: Explainable artificial intelligence for sentiment analysis. Knowl. Based Syst. 238: 107920 (2022) - [j146]Abhinaba Roy, Erik Cambria:
Soft labeling constraint for generalizing from sentiments in single domain. Knowl. Based Syst. 245: 108346 (2022) - [j145]Yang Li, Quan Pan, Erik Cambria:
Deep-attack over the deep reinforcement learning. Knowl. Based Syst. 250: 108965 (2022) - [j144]Xiaoshi Zhong, Erik Cambria, Amir Hussain:
Does semantics aid syntax? An empirical study on named entity recognition and classification. Neural Comput. Appl. 34(11): 8373-8384 (2022) - [j143]Shaoxiong Ji, Xue Li, Zi Huang, Erik Cambria:
Suicidal ideation and mental disorder detection with attentive relation networks. Neural Comput. Appl. 34(13): 10309-10319 (2022) - [j142]Vlad Pandelea, Edoardo Ragusa, Tom Young, Paolo Gastaldo, Erik Cambria:
Toward hardware-aware deep-learning-based dialogue systems. Neural Comput. Appl. 34(13): 10397-10408 (2022) - [j141]Gourav Bathla, Pardeep Singh, Rahul Kumar Singh, Erik Cambria, Rajeev Tiwari:
Intelligent fake reviews detection based on aspect extraction and analysis using deep learning. Neural Comput. Appl. 34(22): 20213-20229 (2022) - [j140]Iti Chaturvedi, Qian Chen, Erik Cambria, Desmond McConnell:
Landmark calibration for facial expressions and fish classification. Signal Image Video Process. 16(2): 377-384 (2022) - [j139]Iti Chaturvedi, Qian Chen, Roy E. Welsch, Kishor Thapa, Erik Cambria:
Gaussian correction for adversarial learning of boundaries. Signal Process. Image Commun. 109: 116841 (2022) - [j138]Erik Cambria, Frank Xing, Mike Thelwall, Roy E. Welsch:
Guest Editorial: Sentiment Analysis as a Multidisciplinary Research Area. IEEE Trans. Artif. Intell. 3(5): 638-641 (2022) - [j137]Geng Tu, Jintao Wen, Cheng Liu, Dazhi Jiang, Erik Cambria:
Context- and Sentiment-Aware Networks for Emotion Recognition in Conversation. IEEE Trans. Artif. Intell. 3(5): 699-708 (2022) - [j136]Ke Zhang, Yuanqing Li, Jingyu Wang, Erik Cambria, Xuelong Li:
Real-Time Video Emotion Recognition Based on Reinforcement Learning and Domain Knowledge. IEEE Trans. Circuits Syst. Video Technol. 32(3): 1034-1047 (2022) - [j135]Shaoxiong Ji, Shirui Pan, Erik Cambria, Pekka Marttinen, Philip S. Yu:
A Survey on Knowledge Graphs: Representation, Acquisition, and Applications. IEEE Trans. Neural Networks Learn. Syst. 33(2): 494-514 (2022) - [c154]Mengshi Ge, Rui Mao, Erik Cambria:
Explainable Metaphor Identification Inspired by Conceptual Metaphor Theory. AAAI 2022: 10681-10689 - [c153]Jinjie Ni, Vlad Pandelea, Tom Young, Haicang Zhou, Erik Cambria:
HiTKG: Towards Goal-Oriented Conversations via Multi-Hierarchy Learning. AAAI 2022: 11112-11120 - [c152]Tom Young, Frank Xing, Vlad Pandelea, Jinjie Ni, Erik Cambria:
Fusing Task-Oriented and Open-Domain Dialogues in Conversational Agents. AAAI 2022: 11622-11629 - [c151]Ran Zhou, Xin Li, Ruidan He, Lidong Bing, Erik Cambria, Luo Si, Chunyan Miao:
MELM: Data Augmentation with Masked Entity Language Modeling for Low-Resource NER. ACL (1) 2022: 2251-2262 - [c150]Sooji Han, Rui Mao, Erik Cambria:
Hierarchical Attention Network for Explainable Depression Detection on Twitter Aided by Metaphor Concept Mappings. COLING 2022: 94-104 - [c149]Cuc Duong, Qian Liu, Rui Mao, Erik Cambria:
Saving Earth One Tweet at a Time through the Lens of Artificial Intelligence. IJCNN 2022: 1-9 - [c148]Aryan Rastogi, Qiang Liu, Erik Cambria:
Stress Detection from Social Media Articles: New Dataset Benchmark and Analytical Study. IJCNN 2022: 1-8 - [c147]Erik Cambria, Qian Liu, Sergio Decherchi, Frank Xing, Kenneth Kwok:
SenticNet 7: A Commonsense-based Neurosymbolic AI Framework for Explainable Sentiment Analysis. LREC 2022: 3829-3839 - [c146]Shaoxiong Ji, Tianlin Zhang, Luna Ansari, Jie Fu, Prayag Tiwari, Erik Cambria:
MentalBERT: Publicly Available Pretrained Language Models for Mental Healthcare. LREC 2022: 7184-7190 - [c145]Lukas Christ, Shahin Amiriparian, Alice Baird, Panagiotis Tzirakis, Alexander Kathan, Niklas Müller, Lukas Stappen, Eva-Maria Meßner, Andreas König, Alan Cowen, Erik Cambria, Björn W. Schuller:
The MuSe 2022 Multimodal Sentiment Analysis Challenge: Humor, Emotional Reactions, and Stress. MuSe @ ACM Multimedia 2022: 5-14 - [c144]Shahin Amiriparian, Lukas Christ, Andreas König, Eva-Maria Meßner, Alan Cowen, Erik Cambria, Björn W. Schuller:
MuSe 2022 Challenge: Multimodal Humour, Emotional Reactions, and Stress. ACM Multimedia 2022: 7389-7391 - [e12]Shahin Amiriparian, Lukas Christ, Andreas König, Alan Cowen, Eva-Maria Meßner, Erik Cambria, Björn W. Schuller:
MuSe@MM 2022: Proceedings of the 3rd International on Multimodal Sentiment Analysis Workshop and Challenge, Lisboa, Portugal, 10 October 2022. ACM 2022, ISBN 978-1-4503-9484-0 [contents] - [i69]Ranjan Satapathy, Shweta Pardeshi, Erik Cambria:
Polarity and Subjectivity Detection with Multitask Learning and BERT Embedding. CoRR abs/2201.05363 (2022) - [i68]Yang Li, Quan Pan, Erik Cambria:
Deep-Attack over the Deep Reinforcement Learning. CoRR abs/2205.00807 (2022) - [i67]Alice Baird, Panagiotis Tzirakis, Gauthier Gidel, Marco Jiralerspong, Eilif B. Muller, Kory W. Mathewson, Björn W. Schuller, Erik Cambria, Dacher Keltner, Alan Cowen:
The ICML 2022 Expressive Vocalizations Workshop and Competition: Recognizing, Generating, and Personalizing Vocal Bursts. CoRR abs/2205.01780 (2022) - [i66]Lukas Christ, Shahin Amiriparian, Alice Baird, Panagiotis Tzirakis, Alexander Kathan, Niklas Müller, Lukas Stappen, Eva-Maria Meßner, Andreas König, Alan Cowen, Erik Cambria, Björn W. Schuller:
The MuSe 2022 Multimodal Sentiment Analysis Challenge: Humor, Emotional Reactions, and Stress. CoRR abs/2207.05691 (2022) - [i65]Alice Baird, Panagiotis Tzirakis, Gauthier Gidel, Marco Jiralerspong, Eilif B. Muller, Kory W. Mathewson, Björn W. Schuller, Erik Cambria, Dacher Keltner, Alan Cowen:
Proceedings of the ICML 2022 Expressive Vocalizations Workshop and Competition: Recognizing, Generating, and Personalizing Vocal Bursts. CoRR abs/2207.06958 (2022) - [i64]Sooji Han, Rui Mao, Erik Cambria:
Hierarchical Attention Network for Explainable Depression Detection on Twitter Aided by Metaphor Concept Mappings. CoRR abs/2209.07494 (2022) - [i63]Seng-Beng Ho, Zhaoxia Wang, Boon-Kiat Quek, Erik Cambria:
Knowledge Representation for Conceptual, Motivational, and Affective Processes in Natural Language Communication. CoRR abs/2210.08994 (2022) - [i62]Ran Zhou, Xin Li, Lidong Bing, Erik Cambria, Luo Si, Chunyan Miao:
ConNER: Consistency Training for Cross-lingual Named Entity Recognition. CoRR abs/2211.09394 (2022) - [i61]Zonglin Yang, Li Dong, Xinya Du, Hao Cheng, Erik Cambria, Xiaodong Liu, Jianfeng Gao, Furu Wei:
Language Models as Inductive Reasoners. CoRR abs/2212.10923 (2022) - 2021
- [j134]Yong Shi, Wei Li, Luyao Zhu, Kun Guo, Erik Cambria:
Stock trading rule discovery with double deep Q-network. Appl. Soft Comput. 107: 107320 (2021) - [j133]Ashok Kumar J, Tina Esther Trueman, Erik Cambria:
A Convolutional Stacked Bidirectional LSTM with a Multiplicative Attention Mechanism for Aspect Category and Sentiment Detection. Cogn. Comput. 13(6): 1423-1432 (2021) - [j132]Qingnan Jiang, Lei Chen, Wei Zhao, Min Yang, Erik Cambria:
Toward Aspect-Level Sentiment Modification Without Parallel Data. IEEE Intell. Syst. 36(1): 75-81 (2021) - [j131]Lukas Stappen, Alice Baird, Erik Cambria, Björn W. Schuller:
Sentiment Analysis and Topic Recognition in Video Transcriptions. IEEE Intell. Syst. 36(2): 88-95 (2021) - [j130]Wei Peng, Xiaopeng Hong, Guoying Zhao, Erik Cambria:
Adaptive Modality Distillation for Separable Multimodal Sentiment Analysis. IEEE Intell. Syst. 36(3): 82-89 (2021) - [j129]Mike Thelwall, Erik Cambria:
This! Identifying New Sentiment Slang Through Orthographic Pleonasm Online: Yasss Slay Gorg Queen Ilysm. IEEE Intell. Syst. 36(4): 114-120 (2021) - [j128]Raymond Chiong, Gregorious Satia Budhi, Sandeep Dhakal, Erik Cambria:
Combining Sentiment Lexicons and Content-Based Features for Depression Detection. IEEE Intell. Syst. 36(6): 99-105 (2021) - [j127]Mohammad Ehsan Basiri, Shahla Nemati, Moloud Abdar, Erik Cambria, U. Rajendra Acharya:
ABCDM: An Attention-based Bidirectional CNN-RNN Deep Model for sentiment analysis. Future Gener. Comput. Syst. 115: 279-294 (2021) - [j126]Ashok Kumar J, S. Abiramy, Tina Esther Trueman, Erik Cambria:
Comment toxicity detection via a multichannel convolutional bidirectional gated recurrent unit. Neurocomputing 441: 272-278 (2021) - [j125]Kia Dashtipour, Mandar Gogate, Erik Cambria, Amir Hussain:
A novel context-aware multimodal framework for persian sentiment analysis. Neurocomputing 457: 377-388 (2021) - [j124]Erik Cambria, Shaoxiong Ji, Shirui Pan, Philip S. Yu:
Knowledge graph representation and reasoning. Neurocomputing 461: 494-496 (2021) - [j123]Iti Chaturvedi, Kishor Thapa, Sandro Cavallari, Erik Cambria, Roy E. Welsch:
Predicting video engagement using heterogeneous DeepWalk. Neurocomputing 465: 228-237 (2021) - [j122]Haiyun Peng, Yukun Ma, Soujanya Poria, Yang Li, Erik Cambria:
Phonetic-enriched text representation for Chinese sentiment analysis with reinforcement learning. Inf. Fusion 70: 88-99 (2021) - [j121]Amir Hussain, Erik Cambria, Soujanya Poria, Ahmad Y. A. Hawalah, Francisco Herrera:
Information fusion for affective computing and sentiment analysis. Inf. Fusion 71: 97-98 (2021) - [j120]Wei Li, Luyao Zhu, Erik Cambria:
Taylor's theorem: A new perspective for neural tensor networks. Knowl. Based Syst. 228: 107258 (2021) - [j119]Yang Li, Wei Zhao, Erik Cambria, Suhang Wang, Steffen Eger:
Graph routing between capsules. Neural Networks 143: 345-354 (2021) - [j118]Qian Chen, Iti Chaturvedi, Shaoxiong Ji, Erik Cambria:
Sequential fusion of facial appearance and dynamics for depression recognition. Pattern Recognit. Lett. 150: 115-121 (2021) - [j117]Vlad Pandelea, Edoardo Ragusa, Tommaso Apicella, Paolo Gastaldo, Erik Cambria:
Emotion Recognition on Edge Devices: Training and Deployment. Sensors 21(13): 4496 (2021) - [j116]Shaoxiong Ji, Shirui Pan, Xue Li, Erik Cambria, Guodong Long, Zi Huang:
Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications. IEEE Trans. Comput. Soc. Syst. 8(1): 214-226 (2021) - [j115]Francesco Piccialli, Nik Bessis, Erik Cambria:
Guest Editorial: Industrial Internet of Things: Where Are We and What Is Next? IEEE Trans. Ind. Informatics 17(11): 7700-7703 (2021) - [c143]Snehameena Arumugam, Likai Peng, Jin-Cheon Na, Guangze Lin, Roopika Ganesh, Xiaoyin Li, Qing Chen, Shirley S. Ho, Erik Cambria:
A Prototype System for Monitoring Emotion and Sentiment Trends Towards Nuclear Energy on Twitter Using Deep Learning. ICADL 2021: 471-479 - [c142]Dazhi Jiang, Runguo Wei, Hao Liu, Jintao Wen, Geng Tu, Lin Zheng, Erik Cambria:
A Multitask Learning Framework for Multimodal Sentiment Analysis. ICDM (Workshops) 2021: 151-157 - [c141]Amirmohammad Kazemeini, Sudipta Singha Roy, Robert E. Mercer, Erik Cambria:
Interpretable Representation Learning for Personality Detection. ICDM (Workshops) 2021: 158-165 - [c140]Ashok Kumar J, Erik Cambria, Tina Esther Trueman:
DUSE: A New Benchmark Dataset for Drug User Sentiment Extraction. ICDM (Workshops) 2021: 174-178 - [c139]Lukas Stappen, Alice Baird, Lukas Christ, Lea Schumann, Benjamin Sertolli, Eva-Maria Meßner, Erik Cambria, Guoying Zhao, Björn W. Schuller:
The MuSe 2021 Multimodal Sentiment Analysis Challenge: Sentiment, Emotion, Physiological-Emotion, and Stress. MuSe @ ACM Multimedia 2021: 5-14 - [c138]Lukas Stappen, Lea Schumann, Benjamin Sertolli, Alice Baird, Benjamin Weigel, Erik Cambria, Björn W. Schuller:
MuSe-Toolbox: The Multimodal Sentiment Analysis Continuous Annotation Fusion and Discrete Class Transformation Toolbox. MuSe @ ACM Multimedia 2021: 75-82 - [c137]Lukas Stappen, Eva-Maria Meßner, Erik Cambria, Guoying Zhao, Björn W. Schuller:
MuSe 2021 Challenge: Multimodal Emotion, Sentiment, Physiological-Emotion, and Stress Detection. ACM Multimedia 2021: 5706-5707 - [c136]Wei Sun, Shaoxiong Ji, Erik Cambria, Pekka Marttinen:
Multitask Recalibrated Aggregation Network for Medical Code Prediction. ECML/PKDD (4) 2021: 367-383 - [c135]Ashok Kumar J, Erik Cambria, Tina Esther Trueman:
Transformer-Based Bidirectional Encoder Representations for Emotion Detection from Text. SSCI 2021: 1-6 - [e11]Björn W. Schuller, Lukas Stappen, Eva-Maria Meßner, Erik Cambria, Guoying Zhao:
MuSe '21: Proceedings of the 2nd on Multimodal Sentiment Analysis Challenge, Virtual Event, China, 24 October 2021. ACM 2021, ISBN 978-1-4503-8678-4 [contents] - [i60]Siddique Latif, Heriberto Cuayáhuitl, Farrukh Pervez, Fahad Shamshad, Hafiz Shehbaz Ali, Erik Cambria:
A Survey on Deep Reinforcement Learning for Audio-Based Applications. CoRR abs/2101.00240 (2021) - [i59]Yang Li, Amirmohammad Kazameini, Yash Mehta, Erik Cambria:
Multitask Learning for Emotion and Personality Detection. CoRR abs/2101.02346 (2021) - [i58]Sahraoui Dhelim, Nyothiri Aung, Mohammed Amine Bouras, Huansheng Ning, Erik Cambria:
A Survey on Personality-Aware Recommendation Systems. CoRR abs/2101.12153 (2021) - [i57]Kia Dashtipour, Mandar Gogate, Erik Cambria, Amir Hussain:
A Novel Context-Aware Multimodal Framework for Persian Sentiment Analysis. CoRR abs/2103.02636 (2021) - [i56]Wei Sun, Shaoxiong Ji, Erik Cambria, Pekka Marttinen:
Multitask Recalibrated Aggregation Network for Medical Code Prediction. CoRR abs/2104.00952 (2021) - [i55]Lukas Stappen, Alice Baird, Lukas Christ, Lea Schumann, Benjamin Sertolli, Eva-Maria Messner, Erik Cambria, Guoying Zhao, Björn W. Schuller:
The MuSe 2021 Multimodal Sentiment Analysis Challenge: Sentiment, Emotion, Physiological-Emotion, and Stress. CoRR abs/2104.07123 (2021) - [i54]Hasan Kemik, Nusret Özates, Meysam Asgari-Chenaghlu, Erik Cambria:
BLM-17m: A Large-Scale Dataset for Black Lives Matter Topic Detection on Twitter. CoRR abs/2105.01331 (2021) - [i53]Jinjie Ni, Tom Young, Vlad Pandelea, Fuzhao Xue, Vinay Adiga, Erik Cambria:
Recent Advances in Deep Learning Based Dialogue Systems: A Systematic Survey. CoRR abs/2105.04387 (2021) - [i52]Ng Bee Chin, Yosephine Susanto, Erik Cambria:
MICE: A Crosslinguistic Emotion Corpus in Malay, Indonesian, Chinese and English. CoRR abs/2106.04831 (2021) - [i51]Yang Li, Wei Zhao, Erik Cambria, Suhang Wang, Steffen Eger:
Graph Routing between Capsules. CoRR abs/2106.11531 (2021) - [i50]Lukas Stappen, Lea Schumann, Benjamin Sertolli, Alice Baird, Benjamin Weigel, Erik Cambria, Björn W. Schuller:
MuSe-Toolbox: The Multimodal Sentiment Analysis Continuous Annotation Fusion and Discrete Class Transformation Toolbox. CoRR abs/2107.11757 (2021) - [i49]Ran Zhou, Ruidan He, Xin Li, Lidong Bing, Erik Cambria, Luo Si, Chunyan Miao:
MELM: Data Augmentation with Masked Entity Language Modeling for Cross-lingual NER. CoRR abs/2108.13655 (2021) - [i48]Wei Sun, Shaoxiong Ji, Erik Cambria, Pekka Marttinen:
Multi-task Balanced and Recalibrated Network for Medical Code Prediction. CoRR abs/2109.02418 (2021) - [i47]Tom Young, Frank Z. Xing, Vlad Pandelea, Jinjie Ni, Erik Cambria:
Fusing task-oriented and open-domain dialogues in conversational agents. CoRR abs/2109.04137 (2021) - [i46]Shaoxiong Ji, Tianlin Zhang, Luna Ansari, Jie Fu, Prayag Tiwari, Erik Cambria:
MentalBERT: Publicly Available Pretrained Language Models for Mental Healthcare. CoRR abs/2110.15621 (2021) - 2020
- [j114]Yash Mehta, Navonil Majumder, Alexander F. Gelbukh, Erik Cambria:
Recent trends in deep learning based personality detection. Artif. Intell. Rev. 53(4): 2313-2339 (2020) - [j113]Wei Li, Luyao Zhu, Yong Shi, Kun Guo, Erik Cambria:
User reviews: Sentiment analysis using lexicon integrated two-channel CNN-LSTM family models. Appl. Soft Comput. 94: 106435 (2020) - [j112]Aparup Khatua, Apalak Khatua, Erik Cambria:
Predicting political sentiments of voters from Twitter in multi-party contexts. Appl. Soft Comput. 97(Part): 106743 (2020) - [j111]Md. Shad Akhtar, Asif Ekbal, Erik Cambria:
How Intense Are You? Predicting Intensities of Emotions and Sentiments using Stacked Ensemble [Application Notes]. IEEE Comput. Intell. Mag. 15(1): 64-75 (2020) - [j110]Cecilio Angulo, Zoe Falomir, Davide Anguita, Núria Agell, Erik Cambria:
Bridging Cognitive Models and Recommender Systems. Cogn. Comput. 12(2): 426-427 (2020) - [j109]Ranjan Satapathy, Erik Cambria, Andrea Nanetti, Amir Hussain:
A Review of Shorthand Systems: From Brachygraphy to Microtext and Beyond. Cogn. Comput. 12(4): 778-792 (2020) - [j108]Xiaoshi Zhong, Erik Cambria, Amir Hussain:
Extracting Time Expressions and Named Entities with Constituent-Based Tagging Schemes. Cogn. Comput. 12(4): 844-862 (2020) - [j107]