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20162022
most citedA rule based algorithm for detecting negative words in Persian

1 citations · 2 across the 3 of their papers we have counts for

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cs.CL20221 cited

Testing the effectiveness of saliency-based explainability in NLP using randomized survey-based experiments

Adel Rahimi, Shaurya Jain

As the applications of Natural Language Processing (NLP) in sensitive areas like Political Profiling, Review of Essays in Education, etc. proliferate, there is a great need for inc…

cs.CL2020

Joint Persian Word Segmentation Correction and Zero-Width Non-Joiner Recognition Using BERT

Ehsan Doostmohammadi, Minoo Nassajian, Adel Rahimi

Words are properly segmented in the Persian writing system; in practice, however, these writing rules are often neglected, resulting in single words being written disjointedly and…

cs.CL2020

Persian Ezafe Recognition Using Transformers and Its Role in Part-Of-Speech Tagging

Ehsan Doostmohammadi, Minoo Nassajian, Adel Rahimi

Ezafe is a grammatical particle in some Iranian languages that links two words together. Regardless of the important information it conveys, it is almost always not indicated in Pe…

cs.CL20171 cited

A rule based algorithm for detecting negative words in Persian

Reza Takhshid, Adel Rahimi

In this paper, we present a novel method for detecting negative words in Persian. We first used an algorithm to an exceptions list which was later modified by hand. We then used th…

cs.CL2016

Lexical bundles in computational linguistics academic literature

Adel Rahimi

In this study we analyzed a corpus of 8 million words academic literature from Computational lingustics' academic literature. the lexical bundles from this corpus are categorized b…