Extracting Meronymy Relationships from Domain-Specific, Textual Corporate Databases

Abstract. Various techniques for learning meronymy relationships from opendomain corpora exist. However, extracting meronymy relationships from domain-specific, textual corporate databases has been overlooked, despite numerous application opportunities particularly in domains like product development and/or customer service. These domains also pose new scientific challenges, such as the absence of elaborate knowledge resources, compromising the performance of supervised meronymy-learning algorithms. Furthermore, the domain-specific terminology of corporate texts makes it difficult to select appropriate seeds for minimally-supervised meronymylearning algorithms. To address these issues, we develop and present a principled approach to extract accurate meronymy relationships from textual databases of product development and/or customer service organizations by leveraging on reliable meronymy lexico-syntactic patterns harvested from an open-domain corpus. Evaluations on real-life corporate...

• Type: Journal
• Year: 2010
• Where: NLDB
• Authors: Ashwin Ittoo, Gosse Bouma, Laura Maruster, Hans Wortmann
• Keywords: Corporate Databases, Customer Service, Meronymy Relationships, Natural Language Processing, NLDB 2010