Papers with contextualized ELMo embeddings
Revisiting the Importance of Encoding Logic Rules in Sentiment Classification (D18-1)
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| Challenge: | Neural models that explicitly encode word order, syntax and semantic features are unequipped to deal with complex syntactic structures that affect sentiment, such as contrastive conjunctions. |
| Approach: | They propose to use contextualized ELMo embeddings instead of logic rules to compare models on syntactically complex sentences. |
| Outcome: | The proposed models outperform baseline models even on sentences with ambiguous sentiment labels. |