activity
20192024
most citedPersonality Trait Detection Using Bagged SVM over BERT Word Embedding Ensembles

52 citations · 64 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CL2024

FarExStance: Explainable Stance Detection for Farsi

Majid Zarharan, Maryam Hashemi, Malika Behroozrazegh +3

We introduce FarExStance, a new dataset for explainable stance detection in Farsi. Each instance in this dataset contains a claim, the stance of an article or social media post tow…

cs.CL2024★ 2 cited

Zero-Shot Stance Detection using Contextual Data Generation with LLMs

Ghazaleh Mahmoudi, Babak Behkamkia, Sauleh Eetemadi

Stance detection, the classification of attitudes expressed in a text towards a specific topic, is vital for applications like fake news detection and opinion mining. However, the…

cs.CV2024

StackOverflowVQA: Stack Overflow Visual Question Answering Dataset

Motahhare Mirzaei, Mohammad Javad Pirhadi, Sauleh Eetemadi

In recent years, people have increasingly used AI to help them with their problems by asking questions on different topics. One of these topics can be software-related and programm…

cs.CV2023★ 1 cited

LXMERT Model Compression for Visual Question Answering

Maryam Hashemi, Ghazaleh Mahmoudi, Sara Kodeiri +2

Large-scale pretrained models such as LXMERT are becoming popular for learning cross-modal representations on text-image pairs for vision-language tasks. According to the lottery t…

cs.CL2022

Using Two Losses and Two Datasets Simultaneously to Improve TempoWiC Accuracy

Mohammad Javad Pirhadi, Motahhare Mirzaei, Sauleh Eetemadi

WSD (Word Sense Disambiguation) is the task of identifying which sense of a word is meant in a sentence or other segment of text. Researchers have worked on this task (e.g. Pustejo…

cs.CL2020★ 52 cited

Personality Trait Detection Using Bagged SVM over BERT Word Embedding Ensembles

Amirmohammad Kazameini, Samin Fatehi, Yash Mehta +2

Recently, the automatic prediction of personality traits has received increasing attention and has emerged as a hot topic within the field of affective computing. In this work, we…