no code implementations • 8 Mar 2024 • Seyed Parsa Neshaei, Yasaman Boreshban, Gholamreza Ghassem-Sani, Seyed Abolghasem Mirroshandel
In this paper, we explore the effect of quantization on the robustness of Transformer-based models.
no code implementations • 4 Mar 2024 • Adil Soubki, John Murzaku, Arash Yousefi Jordehi, Peter Zeng, Magdalena Markowska, Seyed Abolghasem Mirroshandel, Owen Rambow
Evaluating the theory of mind (ToM) capabilities of language models (LMs) has recently received much attention.
1 code implementation • 2 Nov 2023 • Magdalena Markowska, Mohammad Taghizadeh, Adil Soubki, Seyed Abolghasem Mirroshandel, Owen Rambow
An important part of cognitive state is the common ground, which is the content the speaker believes, and the speaker believes the audience believes, and so on.
1 code implementation • 21 Nov 2021 • Amir Abbasi, Erfan Miahi, Seyed Abolghasem Mirroshandel
Moreover, this is the first time that the concept of multi-task learning has been introduced to the field of Sperm Morphology Analysis (SMA).
1 code implementation • 30 Sep 2021 • Reza Khanmohammadi, Mitra Sadat Mirshafiee, Yazdan Rezaee Jouryabi, Seyed Abolghasem Mirroshandel
Persian Poetry has consistently expressed its philosophy, wisdom, speech, and rationale on the basis of its couplets, making it an enigmatic language on its own to both native and non-native speakers.
1 code implementation • 26 Sep 2021 • Yasaman Boreshban, Seyed Morteza Mirbostani, Gholamreza Ghassem-Sani, Seyed Abolghasem Mirroshandel, Shahin Amiriparian
Contemporary question answering (QA) systems, including transformer-based architectures, suffer from increasing computational and model complexity which render them inefficient for real-world applications with limited resources.
no code implementations • Expert Systems with Applications 2020 • Mohammad Mojrian, Seyed Abolghasem Mirroshandel
The explosive growth of textual data on the web and the problem of obtaining desired information through this enormous volume of data has led to a dramatic increase in demand for developing automatic text summarization systems.
1 code implementation • 2 Sep 2020 • Reza Khanmohammadi, Seyed Abolghasem Mirroshandel
Since different approaches are introduced in our research, we determine a trade-off value for evaluating different models' success in faking our gender identification model with transferred text.
1 code implementation • 11 Apr 2020 • Javad PourMostafa Roshan Sharami, Parsa Abbasi Sarabestani, Seyed Abolghasem Mirroshandel
To best of our knowledge, we do not merely suffer from lack of well-annotated Persian sentiment corpus, but also a novel model to classify the Persian opinions in terms of both multiple and binary classification.
1 code implementation • 13 Nov 2019 • Behnam Sabeti, Pedram Hosseini, Gholamreza Ghassem-Sani, Seyed Abolghasem Mirroshandel
The results show an acceptable performance in terms of accuracy and F-measure in the generated sentiment lexicon.
no code implementations • 20 Sep 2019 • Erfan Miahi, Seyed Abolghasem Mirroshandel, Alexis Nasr
Every individual of the genetic algorithm is a convolutional neural network trained to predict morphological deformities in different segments of human sperm (head, vacuole, and acrosome), and its fitness is calculated by a novel proposed method named GeNAS-WF especially designed for noisy, low resolution, and imbalanced datasets.
1 code implementation • 23 Jan 2018 • Pedram Hosseini, Ali Ahmadian Ramaki, Hassan Maleki, Mansoureh Anvari, Seyed Abolghasem Mirroshandel
To the best of our knowledge, SentiPers is a unique sentiment corpus with such a rich annotation in three different levels including document-level, sentence-level, and entity/aspect-level for Persian.
no code implementations • 23 Jan 2014 • Seyed Abolghasem Mirroshandel, Gholamreza Ghassem-Sani
We show that by combining the global information of such a cluster with local decisions of a general classifier, a bootstrapping cross-document classifier can be built to extract temporal relations between events.