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Current TSA evaluation in a cross-domain setup is restricted to the small setof review domains available in existing datasets. Such an evaluation islimited, and may not reflect true performance on sites like Amazon or Yelp thathost diverse reviews from many domains. To address this gap, we present YASO -a new TSA evaluation dataset of open-domain user reviews. YASO contains 2,215English sentences from dozens of review domains, annotated with target termsand their sentiment. Our analysis verifies the reliability of theseannotations, and explores the characteristics of the collected data. Benchmarkresults using five contemporary TSA systems show there is ample room forimprovement on this challenging new dataset. YASO is available athttps://github.com/IBM/yaso-tsa.

YASO: A Targeted Sentiment Analysis Evaluation Dataset for Open-Domain Reviews