Aspect sentiment analysis based on a hierarchical attention network
大数据, 2020 Aspect sentiment analysis based on deep learning is one of the hot spots in natural language processing.Aiming at aspect sentiment,a deep hierarchical attention network model based on aspect sentiment analysis was proposed.The local features of the text ...
Ting SONG, Zhanwei CHEN, Haifeng YANG
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MDSENT at SemEval-2016 Task 4: A Supervised System for Message Polarity Classification [PDF]
, 2016 Hang Gao, Tim Oates
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LEIA: Linguistic Embeddings for the Identification of Affect. [PDF]
EPJ Data Sci, 2023 Aroyehun ST +5 more
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SUper Team at SemEval-2016 Task 3: Building a Feature-Rich System for Community Question Answering [PDF]
, 2016 Tsvetomila Mihaylova +11 more
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Performance analysis of aspect-level sentiment classification task based on different deep learning models. [PDF]
PeerJ Comput Sci, 2023 Cao F, Huang X.
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FlexSTS: Um Framework para Similaridade Semântica Textual
Linguamática, 2016 Desde 2012, os eventos de Semantic Evaluation (SemEval) propõem a tarefa de Similaridade Semântica Textual (STS) como um tema de competição, demonstrando sua relevância.
Jânio Freire +2 more
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Tohoku at SemEval-2016 Task 6: Feature-based Model versus Convolutional Neural Network for Stance Detection [PDF]
, 2016 Yuki Igarashi +4 more
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The Meaning Factory at SemEval-2016 Task 8: Producing AMRs with Boxer [PDF]
, 2016 Johannes Bjerva +2 more
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GTI at SemEval-2016 Task 5: SVM and CRF for Aspect Detection and Unsupervised Aspect-Based Sentiment Analysis [PDF]
, 2016 Tamara Álvarez-López +4 more
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SemEval-2010 Task 14: Word Sense Induction & Disambiguation
, 2010 Suresh Manandhar +3 more
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