Search Results for author: Hossein Amirkhani

Found 9 papers, 4 papers with code

Don’t Discard All the Biased Instances: Investigating a Core Assumption in Dataset Bias Mitigation Techniques

1 code implementation Findings (EMNLP) 2021 Hossein Amirkhani, Mohammad Taher Pilehvar

A common core assumption of these techniques is that the main model handles biased instances similarly to the biased model, in that it will resort to biases whenever available.

Bias Detection

Graph Neural Networks: a bibliometrics overview

no code implementations3 Jan 2022 Abdalsamad Keramatfar, Mohadeseh Rafiee, Hossein Amirkhani

We provide the trend of research, distribution of subjects, active and influential authors and institutions, sources of publications, most cited documents, and hot topics.

Management

Don't Discard All the Biased Instances: Investigating a Core Assumption in Dataset Bias Mitigation Techniques

1 code implementation1 Sep 2021 Hossein Amirkhani, Mohammad Taher Pilehvar

A common core assumption of these techniques is that the main model handles biased instances similarly to the biased model, in that it will resort to biases whenever available.

Bias Detection

Ensemble Learning-Based Approach for Improving Generalization Capability of Machine Reading Comprehension Systems

no code implementations1 Jul 2021 Razieh Baradaran, Hossein Amirkhani

The experimental results show the effectiveness and robustness of the ensemble approach in improving the out-of-distribution accuracy of MRC systems, especially when the base models are similar in accuracies.

Ensemble Learning Machine Reading Comprehension

Zero-Shot Estimation of Base Models' Weights in Ensemble of Machine Reading Comprehension Systems for Robust Generalization

no code implementations30 Jun 2021 Razieh Baradaran, Hossein Amirkhani

One of the main challenges of the machine reading comprehension (MRC) models is their fragile out-of-domain generalization, which makes these models not properly applicable to real-world general-purpose question answering problems.

Domain Generalization Machine Reading Comprehension +1

FarsTail: A Persian Natural Language Inference Dataset

1 code implementation18 Sep 2020 Hossein Amirkhani, Mohammad AzariJafari, Zohreh Pourjafari, Soroush Faridan-Jahromi, Zeinab Kouhkan, Azadeh Amirak

This dataset, named FarsTail, includes 10, 367 samples which are provided in both the Persian language as well as the indexed format to be useful for non-Persian researchers.

Multiple-choice

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