Alzahra State University 2015 to 2020GPA: 3.89
I've started writing papers and collaborating on research topics about a year ago. In this time, I was able to contact great people and shared the experience of learning new concepts with them. In here you'll see a glimpse of what we've done till now.
In this research project we gathered two datasets: Persian COVID-19 Articles and PerSICK.
The former consists of Healthcare articles related to COVID-19.
The latter is the first Persian dataset used to measure Semantic Textual Similarity.
The primary contribution of this paper is a novel Document Ranking approach which utilizez a ranking and re-ranking stage using BM25, TF-IDF, and BERT.
A collaboration with: M. Allahyari (Assistant Professor at Georgia Southern) and R. Khan Mohammadi (Researcher at Guilan NLP group)
Our aim with this work is to create a reliable (e.g., passive voice judgments are consistent),
valid (e.g., passive voice judgments are accurate), flexible (e.g., texts can be assessed at different units of analysis),
replicable (e.g., the approach can be performed by a range of research teams with varying levels of computational expertise),
and scalable way (e.g., small and large collections of texts can be analyzed) to capture passive voice from different corpora for social and psychological
evaluations of text. To achieve these aims,
we introduce PassivePy, a fully transparent and documented Python library.
A collaboration with: A. Sepehri (PhD candidate at the Ivey Business School) and D. Markowitz (Assistant Professor at the University of Oregon)
Having curated a parallel corpus of prose and their equivalent poems, we introduce a novel
Neural Machine Translation (NMT) approach to translate prose to ancient Persian poetry using transformer-based Language Models in an
extremely low-resource setting. More specifically, we trained a Transformer model from scratch to obtain initial translations and pretrained different variations of BERT to obtain final translations. To address the challenge of using masked language modelling under poeticness criteria, we heuristically joined
the two models and generated valid poems in terms of automatic and human assessments.
A sample of one of our pretrained models on Huggingface
A collaboration with: A. Mirroshandel (Research And Development Manager at AVID Technology Development) and R. Khan Mohammadi (Researcher at Guilan NLP group)
A survey on different approaches toward a recommender system problem for a donation website.
A collaboration with: A. Sepehri (PhD candidate at the Ivey Business School) and Amirali Kani (Assistant Professor at Gordon S. Lang School of Business and Economics)
Fergas international company: LinkedIn page 2019 to 2020Title: Data Analyst
Freelance projects 2020 to nowProjects related to: