تقرير
One Graph to Rule them All: Using NLP and Graph Neural Networks to analyse Tolkien's Legendarium
العنوان: | One Graph to Rule them All: Using NLP and Graph Neural Networks to analyse Tolkien's Legendarium |
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المؤلفون: | Perri, Vincenzo, Qarkaxhija, Lisi, Zehe, Albin, Hotho, Andreas, Scholtes, Ingo |
سنة النشر: | 2022 |
المجموعة: | Computer Science |
مصطلحات موضوعية: | Computer Science - Computation and Language, Computer Science - Artificial Intelligence |
الوصف: | Natural Language Processing and Machine Learning have considerably advanced Computational Literary Studies. Similarly, the construction of co-occurrence networks of literary characters, and their analysis using methods from social network analysis and network science, have provided insights into the micro- and macro-level structure of literary texts. Combining these perspectives, in this work we study character networks extracted from a text corpus of J.R.R. Tolkien's Legendarium. We show that this perspective helps us to analyse and visualise the narrative style that characterises Tolkien's works. Addressing character classification, embedding and co-occurrence prediction, we further investigate the advantages of state-of-the-art Graph Neural Networks over a popular word embedding method. Our results highlight the large potential of graph learning in Computational Literary Studies. |
نوع الوثيقة: | Working Paper |
URL الوصول: | http://arxiv.org/abs/2210.07871 |
رقم الأكسشن: | edsarx.2210.07871 |
قاعدة البيانات: | arXiv |
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