Papers with hierarchical neural network model

2 papers
A Multi-Attention based Neural Network with External Knowledge for Story Ending Predicting Task (C18-1)

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Challenge: Existing studies on the topic of common sense story understanding focus on generating guesses for a missing event or concentrating on unsupervised learning.
Approach: They propose to extend attention-based neural network with external knowledge resources to understand temporal stories and predict their endings.
Outcome: The proposed model outperforms state-of-the-art models and external knowledge resources.
Hitting your MARQ: Multimodal ARgument Quality Assessment in Long Debate Video (2021.emnlp-main)

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Challenge: Current literature mostly considers textual content while assessing argument quality, and it is limited to datasets containing short text sequences (18-48 words).
Approach: They propose a set of interpretable debate centric features that are inspired by theories of argument quality and propose MARQ model that summarizes the multimodal signals on long debate videos.
Outcome: The proposed model outperforms baseline models with an error rate reduction of 22.7% on the argument quality prediction task and achieves 81.91% accuracy.

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