Papers with rule-based and feature-based baselines

1 papers
Neural Multitask Learning for Simile Recognition (D18-1)

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Challenge: Simile is a special type of metaphor, where comparators such as like and as are used to compare two objects.
Approach: They propose a neural network framework for simile sentence classification, simile component extraction and language modeling.
Outcome: The proposed framework outperforms rule-based and feature-based approaches in simile sentence classification and simile component extraction tasks.

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