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Understanding Word Embeddings

3 minute read

Published:

Humans are capable of easily understanding vocabulary in the form of free text. They are great at interpreting any ambiguity or variability in the ever changing and evolving language.

portfolio

publications

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

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.

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/

talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.