Isar Nejadgholi
27 papers · 2018–2025 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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Research topics
Machine Learning
(21)
Artificial Intelligence
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Natural Language Processing
(14)
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(10)
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Keywords
text classification
(6)
sentiment analysis
(5)
large language model
(5)
named entity recognition
(4)
social media analysis
(4)
social media
(4)
abusive language detection
(3)
word embedding
(3)
hate speech detection
(3)
bias detection
(3)
zero-shot learning
(3)
bias mitigation
(3)
text mining
(2)
toxic language detection
(2)
gender stereotype
(2)
stereotype detection
(2)
domain generalization
(2)
concept-based explanation
(2)
model interpretability
(2)
semi-supervised learning
(1)
Papers
Fine-Tuning Lowers Safety and Disrupts Evaluation Consistency
ACL 2025
PARME: Parallel Corpora for Low-Resourced Middle Eastern Languages
ACL 2025
Semantic Differentiation in Speech Emotion Recognition: Insights from Descriptive and Expressive Speech Roles
EMNLP 2025
Tackling Social Bias against the Poor: a Dataset and a Taxonomy on Aporophobia
NAACL 2025
WildFireCan-MMD: A Multimodal Dataset for Classification of User-Generated Content During Wildfires in Canada
IJCNLP 2025
Adaptable Moral Stances of Large Language Models on Sexist Content: Implications for Society and Gender Discourse
EMNLP 2024
An Evaluation of Language Models for Hyperpartisan Ideology Detection in Persian Twitter
COLING 2024
Challenging Negative Gender Stereotypes: A Study on the Effectiveness of Automated Counter-Stereotypes
COLING 2024
How Does Stereotype Content Differ across Data Sources?
NAACL 2024
Projective Methods for Mitigating Gender Bias in Pre-trained Language Models
COLING 2024
The Crime of Being Poor: Associations between Crime and Poverty on Social Media in Eight Countries
NAACL 2024
WMT24 Test Suite: Gender Resolution in Speaker-Listener Dialogue Roles
EMNLP 2024
Aporophobia: An Overlooked Type of Toxic Language Targeting the Poor
ACL 2023
ChatGPT for Suicide Risk Assessment on Social Media: Quantitative Evaluation of Model Performance, Potentials and Limitations
ACL 2023
Concept-Based Explanations to Test for False Causal Relationships Learned by Abusive Language Classifiers
ACL 2023
What Makes a Good Counter-Stereotype? Evaluating Strategies for Automated Responses to Stereotypical Text
ACL 2023
Challenges in Applying Explainability Methods to Improve the Fairness of NLP Models
NAACL 2022
Improving Generalizability in Implicitly Abusive Language Detection with Concept Activation Vectors
ACL 2022
Necessity and Sufficiency for Explaining Text Classifiers: A Case Study in Hate Speech Detection
NAACL 2022
Region-dependent temperature scaling for certainty calibration and application to class-imbalanced token classification
ACL 2022
Towards Procedural Fairness: Uncovering Biases in How a Toxic Language Classifier Uses Sentiment Information
EMNLP 2022
A Privacy-Preserving Approach to Extraction of Personal Information through Automatic Annotation and Federated Learning
NAACL 2021
Understanding and Countering Stereotypes: A Computational Approach to the Stereotype Content Model
ACL 2021
Extensive Error Analysis and a Learning-Based Evaluation of Medical Entity Recognition Systems to Approximate User Experience
ACL 2020
On Cross-Dataset Generalization in Automatic Detection of Online Abuse
EMNLP 2020
Recognizing UMLS Semantic Types with Deep Learning
EMNLP 2019
A Review of Standard Text Classification Practices for Multi-label Toxicity Identification of Online Content
EMNLP 2018