Sawsan Alqahtani

According to our database1, Sawsan Alqahtani authored at least 11 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Automatic Restoration of Diacritics for Speech Data Sets.
CoRR, 2023

2022
WASSA 2022 Shared Task: Predicting Empathy, Emotion and Personality in Reaction to News Stories.
Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, 2022

Injecting Domain Knowledge in Language Models for Task-oriented Dialogue Systems.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
Using Optimal Transport as Alignment Objective for fine-tuning Multilingual Contextualized Embeddings.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020
A Multitask Learning Approach for Diacritic Restoration.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Homograph Disambiguation through Selective Diacritic Restoration.
Proceedings of the Fourth Arabic Natural Language Processing Workshop, 2019

Investigating Input and Output Units in Diacritic Restoration.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Efficient Convolutional Neural Networks for Diacritic Restoration.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2016
Guidelines and Framework for a Large Scale Arabic Diacritized Corpus.
Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

Investigating the Impact of Various Partial Diacritization Schemes on Arabic-English Statistical Machine Translation.
Proceedings of the 12th Conferences of the Association for Machine Translation in the Americas: MT Researchers' Track, 2016

Using Ambiguity Detection to Streamline Linguistic Annotation.
Proceedings of the Workshop on Computational Linguistics for Linguistic Complexity, 2016


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