Studying Taxonomy Enrichment on Diachronic WordNet Versions
Skolkovo Institute of Science and Technology（斯科尔科沃科学技术学院）；Lomonosov Moscow State University（罗蒙诺索夫莫斯科国立大学）
英文摘要：
Ontologies, taxonomies, and thesauri are used in many NLP tasks. However, most studies are focused on the creation of these lexical resources rather than the maintenance of the existing ones. Thus, we address the problem of taxonomy enrichment. We explore the possibilities of taxonomy extension in a resource-poor setting and present methods which are applicable to a large number of languages. We create novel English and Russian datasets for training and evaluating taxonomy enrichment models and describe a technique of creating such datasets for other languages.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
