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Sharefah Ahmed Alghamdi

Assistant Professor

Chair, Information Technology Department

College of Computer and Information Sciences
6T107

966-11-8052925
sharefah@KSU.EDU.SA
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publication
Conference Paper
2024

A Novel Approach for Root Selection in the Dependency Parsing

Although syntactic analysis using the sequence labeling method is promising, it can be problematic when the labels sequence does not contain a root label. This can result in errors in the final parse tree when the postprocessing method assumes the first word as the root. In this paper, we present a novel postprocessing method for BERT-based dependency parsing as sequence labeling. Our method leverages the root’s part of speech tag to select a more suitable root for the dependency tree, instead of using the default first token. We conducted experiments on nine dependency treebanks from different languages and domains, and demonstrated that our technique consistently improves the labeled attachment score (LAS) on most of them.

more of publication
publications
MirathQA: A dataset for evaluating large language models on Hanbali Islamic inheritance reasoning tasks

Islamic inheritance (Muwārīth/مواريث) refers to the distribution of a deceased person's estate among qualified heirs in accordance with Sharia laws derived from the Qur’an and Sunnah.

2026
publications
A Novel Approach for Root Selection in the Dependency Parsing

Although syntactic analysis using the sequence labeling method is promising, it can be problematic when the labels sequence does not contain a root label. This can result in errors in the final…

by Sharefah Ahmed Al-Ghamdi, Hend Al-Khalifa, Abdulmalik AlSalman
2024
publications
Fine-tuning bert-based pre-trained models for arabic dependency parsing

With the advent of pre-trained language models, many natural language processing tasks in various languages have achieved great success.

by Sharefah Al-Ghamdi, Hend Al-Khalifa, Abdulmalik Al-Salman
2023
Published in:
Applied Sciences