تقرير
Software Mention Recognition with a Three-Stage Framework Based on BERTology Models at SOMD 2024
| العنوان: | Software Mention Recognition with a Three-Stage Framework Based on BERTology Models at SOMD 2024 |
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| المؤلفون: | Thi, Thuy Nguyen, Viet, Anh Nguyen, Van, Thin Dang, Thuy, Ngan Nguyen Luu |
| سنة النشر: | 2024 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Software Engineering, Computer Science - Artificial Intelligence, Computer Science - Computation and Language |
| الوصف: | This paper describes our systems for the sub-task I in the Software Mention Detection in Scholarly Publications shared-task. We propose three approaches leveraging different pre-trained language models (BERT, SciBERT, and XLM-R) to tackle this challenge. Our bestperforming system addresses the named entity recognition (NER) problem through a three-stage framework. (1) Entity Sentence Classification - classifies sentences containing potential software mentions; (2) Entity Extraction - detects mentions within classified sentences; (3) Entity Type Classification - categorizes detected mentions into specific software types. Experiments on the official dataset demonstrate that our three-stage framework achieves competitive performance, surpassing both other participating teams and our alternative approaches. As a result, our framework based on the XLM-R-based model achieves a weighted F1-score of 67.80%, delivering our team the 3rd rank in Sub-task I for the Software Mention Recognition task. Comment: Software mention recognition, Named entity recognition, Transformer, Three-stage framework |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2405.01575 |
| رقم الأكسشن: | edsarx.2405.01575 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |