Papers by Behrouz Minaei-Bidgoli

2 papers
Pars-ABSA: a Manually Annotated Aspect-based Sentiment Analysis Benchmark on Farsi Product Reviews (2022.lrec-1)

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Challenge: Existing systems for sentiment analysis are focused on document and sentence levels, but there are no public datasets on aspect-based sentiment analysis for Farsi.
Approach: They propose to use a manually annotated Farsi dataset to analyze the opinion polarity of reviews . they also use transfer learning to analyze aspects of the review to improve their results .
Outcome: The proposed method performs better than other aspects of the existing system.
ParsFEVER: a Dataset for Farsi Fact Extraction and Verification (2021.starsem-1)

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Challenge: Existing methods for fact-checking and verification require large amounts of annotated data, but this is limited to low-resource languages.
Approach: They present a first publicly available Farsi dataset for fact extraction and verification . they use the construction procedure of the standard English dataset for the task .
Outcome: The proposed dataset improves on the standard English dataset and is available on github.

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