Abderrahim Ait Azzi

Also published as: Abderrahim Ait Azzi


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The Financial Document Structure Extraction Shared Task (FinTOC2021)
Ismail El Maarouf | Juyeon Kang | Abderrahim Ait Azzi | Sandra Bellato | Mei Gan | Mahmoud El-Haj
Proceedings of the 3rd Financial Narrative Processing Workshop


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FinSBD-2020: The 2nd Shared Task on Sentence Boundary Detection in Unstructured Text in the Financial Domain
Willy Au | Bianca Chong | Abderrahim Ait Azzi | Dialekti Valsamou-Stanislawski
Proceedings of the Second Workshop on Financial Technology and Natural Language Processing

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Extractive Summarization System for Annual Reports
Abderrahim Ait Azzi | Juyeon Kang
Proceedings of the 1st Joint Workshop on Financial Narrative Processing and MultiLing Financial Summarisation

In this paper, we report on our experiments in building a summarization system for generating summaries from annual reports. We adopt an “extractive” summarization approach in our hybrid system combining neural networks and rules-based algorithms with the expectation that such a system may capture key sentences or paragraphs from the data. A rules-based TOC (Table Of Contents) extraction and a binary classifier of narrative section titles are main components of our system allowing to identify narrative sections and best candidates for extracting final summaries. As result, we propose one to three summaries per document according to the classification score of narrative section titles.


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The FinSBD-2019 Shared Task: Sentence Boundary Detection in PDF Noisy Text in the Financial Domain
Abderrahim Ait Azzi | Houda Bouamor | Sira Ferradans
Proceedings of the First Workshop on Financial Technology and Natural Language Processing