Papers by Behrouz Minaei-Bidgoli
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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Majid Zarharan, Mahsa Ghaderan, Amin Pourdabiri, Zahra Sayedi, Behrouz Minaei-Bidgoli, Sauleh Eetemadi, Mohammad Taher Pilehvar
| 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. |