MIDAS at SemEval-2019 Task 9: Suggestion Mining from Online Reviews using ULMFit

Published in Proceedings of the 13th International Workshop on Semantic Evaluation, 2019

Recommended citation: Sarthak Anand, Debanjan Mahata, Kartik Aggarwal, Laiba Mehnaz, Simra Shahid, Haimin Zhang, Yaman Kumar, Rajiv Shah, Karan Uppal https://www.aclweb.org/anthology/papers/S/S19/S19-2213/

In this paper we present our approach to tackle the Suggestion Mining from Online Reviews and Forums Sub-Task A. Given a review, we are asked to predict whether the review consists of a suggestion or not. Our model is based on Universal Language Model Fine-tuning for Text Classification.

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Sarthak Anand, Debanjan Mahata, Kartik Aggarwal, Laiba Mehnaz, Simra Shahid, Haimin Zhang, Yaman Kumar, Rajiv Shah, Karan Uppal