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

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

International Workshop on Semantic Evaluation（2019）

Cited 4|Views11

Abstract

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. We apply various pre-processing techniques before training the language and the classification model. We further provide analysis of the model. Our team ranked 10th out of 34 participants, achieving an F1 score of 0.7011.

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