Papers with opinion expression detection

1 papers
Opinion Mining with Deep Contextualized Embeddings (N19-3)

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Challenge: Existing methods for opinion expression detection are based on token-level sequence labeling .
Approach: They propose to use BERT and conditional random field embedders to detect opinion expressions.
Outcome: The proposed model outperforms ELMo embedders in opinion expression detection.

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