Parsa Ghaffari


2018

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360° Stance Detection
Sebastian Ruder | John Glover | Afshin Mehrabani | Parsa Ghaffari
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations

The proliferation of fake news and filter bubbles makes it increasingly difficult to form an unbiased, balanced opinion towards a topic. To ameliorate this, we propose 360° Stance Detection, a tool that aggregates news with multiple perspectives on a topic. It presents them on a spectrum ranging from support to opposition, enabling the user to base their opinion on multiple pieces of diverse evidence.

2016

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A Hierarchical Model of Reviews for Aspect-based Sentiment Analysis
Sebastian Ruder | Parsa Ghaffari | John G. Breslin
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing

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Towards a continuous modeling of natural language domains
Sebastian Ruder | Parsa Ghaffari | John G. Breslin
Proceedings of the Workshop on Uphill Battles in Language Processing: Scaling Early Achievements to Robust Methods

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INSIGHT-1 at SemEval-2016 Task 4: Convolutional Neural Networks for Sentiment Classification and Quantification
Sebastian Ruder | Parsa Ghaffari | John G. Breslin
Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)

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INSIGHT-1 at SemEval-2016 Task 5: Deep Learning for Multilingual Aspect-based Sentiment Analysis
Sebastian Ruder | Parsa Ghaffari | John G. Breslin
Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)