Papers by Abu Nowshed Chy

2 papers
Tweet Stance Detection Using an Attention based Neural Ensemble Model (N19-1)

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Challenge: Existing deep learning approaches to stance detection in twitter are inadequate to deal with the vanishing-gradient and overfitting problems.
Approach: They propose a neural ensemble model that adopts strengths of two LSTM variants to learn better long-term dependencies.
Outcome: The proposed model improves on the existing deep learning models on single and multi-target stance detection datasets.
BengaliLCP: A Dataset for Lexical Complexity Prediction in the Bengali Texts (2024.lrec-main)

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Challenge: Lexical Complexity Prediction (LCP) is a task for predicting the complexity score of a word or phrase based on its context.
Approach: They propose a deep neural approach to predict lexical complexity of Bengali tokens using an annotated dataset.
Outcome: The proposed neural approach outperforms state-of-the-art models for Bengali language.

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