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Found 20 papers, 12 papers with code
Pars-ABSA: a Manually Annotated Aspect-based Sentiment Analysis Benchmark on Farsi Product Reviews
Due to the increased availability of online reviews, sentiment analysis witnessed a thriving interest from researchers.
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
+2
Word2winners at SemEval-2025 Task 7: Multilingual and Crosslingual Fact-Checked Claim Retrieval
This paper describes our system for SemEval 2025 Task 7: Previously Fact-Checked Claim Retrieval.
FarExStance: Explainable Stance Detection for Farsi
We compare the performance of a fine-tuned multilingual RoBERTa model to several large language models in zero-shot, few-shot, and parameter-efficient fine-tuned settings on our new dataset.
Illusory VQA: Benchmarking and Enhancing Multimodal Models on Visual Illusions
In recent years, Visual Question Answering (VQA) has made significant strides, particularly with the advent of multimodal models that integrate vision and language understanding.
eagerlearners at SemEval2024 Task 5: The Legal Argument Reasoning Task in Civil Procedure
This study investigates the performance of the zero-shot method in classifying data using three large language models, alongside two models with large input token sizes and the two pre-trained models on legal data.
Bilingual Sexism Classification: Fine-Tuned XLM-RoBERTa and GPT-3.5 Few-Shot Learning
For Task 2 (source intention), we achieved 2nd place in the soft-soft evaluation.
BAMO at SemEval-2024 Task 9: BRAINTEASER: A Novel Task Defying Common Sense
The task aims to evaluate the ability of language models to think creatively.
Zero-Shot Stance Detection using Contextual Data Generation with LLMs
This method could enhance performance by allowing the adaptation of the model to new topics.
StackOverflowVQA: Stack Overflow Visual Question Answering Dataset
In recent years, people have increasingly used AI to help them with their problems by asking questions on different topics.
IUST at ClimateActivism 2024: Towards Optimal Stance Detection: A Systematic Study of Architectural Choices and Data Cleaning Techniques
This work presents a systematic search of various model architecture configurations and data cleaning methods.
GYM at Qur’an QA 2023 Shared Task: Multi-Task Transfer Learning for Quranic Passage Retrieval and Question Answering with Large Language Models
It introduces two tasks: passage retrieval and reading comprehension.
LXMERT Model Compression for Visual Question Answering
Large-scale pretrained models such as LXMERT are becoming popular for learning cross-modal representations on text-image pairs for vision-language tasks.
Ranked #1 on
Visual Question Answering
on VQA v2 test-std
Using Two Losses and Two Datasets Simultaneously to Improve TempoWiC Accuracy
WSD (Word Sense Disambiguation) is the task of identifying which sense of a word is meant in a sentence or other segment of text.
ParsVQA-Caps: A Benchmark for Visual Question Answering and Image Captioning in Persian
Despite recent advances in vision-and-language tasks, most progress is still focused on resource-rich languages such as English.
ParsFEVER: a Dataset for Farsi Fact Extraction and Verification
Training and evaluation of automatic fact extraction and verification techniques require large amounts of annotated data which might not be available for low-resource languages.
Personality Trait Detection Using Bagged SVM over BERT Word Embedding Ensembles
In this work, we present a novel deep learning-based approach for automated personality detection from text.
Pars-ABSA: an Aspect-based Sentiment Analysis dataset for Persian
Due to the increased availability of online reviews, sentiment analysis had been witnessed a booming interest from the researchers.
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
+1
