2018
NAACL
NAACL 2018
Bigrams and BiLSTMs Two Neural Networks for Sequential Metaphor Detection
Abstract
AbstractWe present and compare two alternative deep neural architectures to perform word-level metaphor detection on text: a bi-LSTM model and a new structure based on recursive feed-forward concatenation of the input. We discuss different versions of such models and the effect that input manipulation - specifically, reducing the length of sentences and introducing concreteness scores for words - have on their performance.
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Interdisciplinary Bridge
— Deep Learning and Machine Learning
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Keyword Pioneer
— concreteness score
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Security & Privacy, Speech & Audio