2022/12/18 by Akila Peiris, Nisansa de Silva, Peiris, Akila +1
Computer Science · Social Sciences · #Computation and Language (cs.CL) #Digital Games and Media #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling #Wikis in Education and Collaboration
paper · pdf · doi:10.48550/arxiv.2212.09080
openalex publication_date 2022/12/18 · openalex created_date 2023/01/04 · openalex updated_date 2026/07/28
This paper introduces the Forgotten Realms Wiki (FRW) data set and domain specific natural language generation using FRW along with related analyses. Forgotten Realms is the de-facto default setting of the popular open ended tabletop fantasy role playing game, Dungeons & Dragons. The data set was extracted from the Forgotten Realms Fandom wiki consisting of more than over 45,200 articles. The FRW data set is constituted of 11 sub-data sets in a number of formats: raw plain text, plain text annotated by article title, directed link graphs, wiki info-boxes annotated by the wiki article title, Poincaré embedding of first link graph, multiple Word2Vec and Doc2Vec models of the corpus. This is the first data set of this size for the Dungeons & Dragons domain. We then present a pairwise similarity comparison benchmark which utilizes similarity measures. In addition, we perform D&D domain specific natural language generation using the corpus and evaluate the named entity classification with respect to the lore of Forgotten Realms.