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Cambria, Erik
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Showing results 21 to 40 of 81
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Issue Date
Title
Author(s)
2023
Fusing topology contexts and logical rules in language models for knowledge graph completion
Lin, Qika
;
Mao, Rui
;
Liu, Jun
;
Xu, Fangzhi
;
Cambria, Erik
2019
Fuzzy commonsense reasoning for multimodal sentiment analysis
Chaturvedi, Iti
;
Satapathy, Ranjan
;
Cavallari, Sandro
;
Cambria, Erik
2022
Gender-based multi-aspect sentiment detection using multilabel learning
Kumar, J. Ashok
;
Trueman, Tina Esther
;
Cambria, Erik
2018
A Generative Model for category text generation
Li, Yang
;
Pan, Quan
;
Wang, Suhang
;
Yang, Tao
;
Cambria, Erik
2019
Growing semantic vines for robust asset allocation
Xing, Frank Z.
;
Cambria, Erik
;
Welsch, Roy E.
2023
A hotel ranking model through online reviews with aspect-based sentiment analysis
You, Tian-Hui
;
Tao, Ling-Ling
;
Cambria, Erik
2020
How intense are you? Predicting intensities of emotions and sentiments using stacked ensemble [application notes]
Akhtar, M. S.
;
Ekbal, A.
;
Cambria, Erik
2022
Improving zero-shot learning baselines with commonsense knowledge
Roy, Abhinaba
;
Ghosal, Deepanway
;
Cambria, Erik
;
Majumder, Navonil
;
Mihalcea, Rada
;
Poria, Soujanya
2019
Inconsistencies on TripAdvisor reviews : a unified index between users and Sentiment Analysis Methods
Valdivia, Ana
;
Hrabova, Emiliya
;
Chaturvedi, Iti
;
Luzón, M. Victoria
;
Troiano, Luigi
;
Cambria, Erik
;
Herrera, Francisco
2018
Intelligent asset allocation via market sentiment views
Xing, Frank Z.
;
Cambria, Erik
;
Welsch, Roy E.
2022
JCBIE: a joint continual learning neural network for biomedical information extraction
He, Kai
;
Mao, Rui
;
Gong, Tieliang
;
Cambria, Erik
;
Li, Chen
2023
KnowleNet: knowledge fusion network for multimodal sarcasm detection
Yue, Tan
;
Mao, Rui
;
Wang, Heng
;
Hu, Zonghai
;
Cambria, Erik
2019
Learning binary codes with neural collaborative filtering for efficient recommendation systems
Li, Yang
;
Wang, Suhang
;
Pan, Quan
;
Peng, Haiyun
;
Yang, Tao
;
Cambria, Erik
2018
Learning multi-grained aspect target sequence for Chinese sentiment analysis
Peng, Haiyun
;
Ma, Yukun
;
Li, Yang
;
Cambria, Erik
2019
Learning with similarity functions : a tensor-based framework
Ragusa, Edoardo
;
Gastaldo, Paolo
;
Zunino, Rodolfo
;
Cambria, Erik
2023
Marshall–Olkin power-law distributions in length-frequency of entities
Zhong, Xiaoshi
;
Yu, Xiang
;
Cambria, Erik
;
Rajapakse, Jagath Chandana
2023
MEGACare: knowledge-guided multi-view hypergraph predictive framework for healthcare
Wu, Jialun
;
He, Kai
;
Mao, Rui
;
Li, Chen
;
Cambria, Erik
2022
Meta-based self-training and re-weighting for aspect-based sentiment analysis
He, Kai
;
Mao, Rui
;
Gong, Tieliang
;
Li, Chen
;
Cambria, Erik
2022
MetaPro: a computational metaphor processing model for text pre-processing
Mao, Rui
;
Li, Xiao
;
Ge, Mengshi
;
Cambria, Erik
2023
MiMuSA—mimicking human language understanding for fine-grained multi-class sentiment analysis
Wang, Zhaoxia
;
Hu, Zhenda
;
Ho, Seng-Beng
;
Cambria, Erik
;
Tan, Ah-Hwee