Papers by Richard Sicoli

1 papers
Author’s Sentiment Prediction (2020.coling-main)

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Challenge: Existing work on inferring author sentiment in news articles hasn't been done on this domain.
Approach: They propose a crowd-sourced dataset that captures the sentiment of an author towards the main entity in a news article.
Outcome: The proposed dataset performs the best amongst the baselines, but only achieves modest performance overall suggesting that fine-tuning document-level representations aloneisn’t adequate for this task.

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