Neural Metaphor Detection In Context
Ge Gao, Eunsol Choi, Yejin Choi, Luke Zettlemoyer . Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing 2018 – 121 citations
We present end-to-end neural models for detecting metaphorical word use in context. We show that relatively standard BiLSTM models which operate on complete sentences work well in this setting, in comparison to previous work that used more restricted forms of linguistic context. These models establish a new state-of-the-art on existing verb metaphor detection benchmarks, and show strong performance on jointly predicting the metaphoricity of all words in a running text.