Papers by Philip O. Ogunbona

1 papers
Modelling Context and Syntactical Features for Aspect-based Sentiment Analysis (2020.acl-main)

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Challenge: Existing approaches to aspect-based sentiment analysis do not fully leverage syntactical information.
Approach: They propose an end-to-end aspect-based sentiment analysis solution that integrates syntactical information with part-of-speech embeddings and dependency-based embeddables to enhance the performance of the aspect extractor.
Outcome: The proposed solution outperforms the state-of-the-art models on SemEval-2014 dataset in both subtasks.

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