دورية أكاديمية
Summarization of financial reports with TIBER
| العنوان: | Summarization of financial reports with TIBER |
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| المؤلفون: | Natalia Vanetik, Marina Litvak, Sophie Krimberg |
| المصدر: | Machine Learning with Applications, Vol 9, Iss , Pp 100324- (2022) |
| بيانات النشر: | Elsevier, 2022. |
| سنة النشر: | 2022 |
| المجموعة: | LCC:Cybernetics LCC:Electronic computers. Computer science |
| مصطلحات موضوعية: | Extractive summarization, Financial reports, Node embeddings, BERT, Cybernetics, Q300-390, Electronic computers. Computer science, QA75.5-76.95 |
| الوصف: | This paper reports an approach for summarizing financial texts that combine several techniques for sentence representation and neural document modeling. Our approach is extractive and it follows the classic pipeline of ranking and consequent selecting of the top-ranked text chunks. We evaluate our method on the financial reports provided in the Financial Narrative Summarization (FNS 2021) shared task. The data for the shared task was created and collected from publicly available UK annual reports published by firms listed on the London Stock Exchange. The reports composed FNS 2021 dataset are very long, have many sections, and are written in “financial” language using various special terms, numerical data, and tables. The results show that our approach outperforms the FNS topline with a very serious advantage. In addition to its performance, our approach is also time-efficient. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2666-8270 |
| Relation: | http://www.sciencedirect.com/science/article/pii/S2666827022000391; https://doaj.org/toc/2666-8270 |
| DOI: | 10.1016/j.mlwa.2022.100324 |
| URL الوصول: | https://doaj.org/article/dbce8a5d867e462091fde473fd857bd6 |
| رقم الأكسشن: | edsdoj.bce8a5d867e462091fde473fd857bd6 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 26668270 |
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| DOI: | 10.1016/j.mlwa.2022.100324 |