Binarizer at SemEval-2018 Task 3: Parsing dependency and deep learning for irony detection

Nishant Nikhil; Muktabh Mayank Srivastava

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arXiv · 1805.01112

Binarizer at SemEval-2018 Task 3: Parsing dependency and deep learning for irony detection

Nishant Nikhil·Muktabh Mayank Srivastava

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Abstract

In this paper, we describe the system submitted for the SemEval 2018 Task 3 (Irony detection in English tweets) Subtask A by the team Binarizer. Irony detection is a key task for many natural language processing works. Our method treats ironical tweets to consist of smaller parts containing different emotions. We break down tweets into separate phrases using a dependency parser. We then embed those phrases using an LSTM-based neural network model which is pre-trained to predict emoticons for tweets. Finally, we train a fully-connected network to achieve classification.

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BibTeX RIS

Nishant Nikhil, Muktabh Mayank Srivastava. 2018-05-03. Binarizer at SemEval-2018 Task 3: Parsing dependency and deep learning for irony detection. https://arxiv.org/abs/1805.01112

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