Habibollah Asghari


2022

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PerPaDa: A Persian Paraphrase Dataset based on Implicit Crowdsourcing Data Collection
Salar Mohtaj | Fatemeh Tavakkoli | Habibollah Asghari
Proceedings of the Thirteenth Language Resources and Evaluation Conference

In this paper we introduce PerPaDa, a Persian paraphrase dataset that is collected from users’ input in a plagiarism detection system. As an implicit crowdsourcing experience, we have gathered a large collection of original and paraphrased sentences from Hamtajoo; a Persian plagiarism detection system, in which users try to conceal cases of text re-use in their documents by paraphrasing and re-submitting manuscripts for analysis. The compiled dataset contains 2446 instances of paraphrasing. In order to improve the overall quality of the collected data, some heuristics have been used to exclude sentences that don’t meet the proposed criteria. The introduced corpus is much larger than the available datasets for the task of paraphrase identification in Persian. Moreover, there is less bias in the data compared to the similar datasets, since the users did not try some fixed predefined rules in order to generate similar texts to their original inputs.

2019

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Improving NER Models by exploiting Named Entity Gazetteer as External Knowledge
Atefeh Zafarian | Habibollah Asghari
Proceedings of the First International Workshop on NLP Solutions for Under Resourced Languages (NSURL 2019) co-located with ICNLSP 2019 - Short Papers

2018

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Parsivar: A Language Processing Toolkit for Persian
Salar Mohtaj | Behnam Roshanfekr | Atefeh Zafarian | Habibollah Asghari
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)

2014

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A Probabilistic Approach to Persian Ezafe Recognition
Habibollah Asghari | Jalal Maleki | Heshaam Faili
Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, volume 2: Short Papers