Abstract
Semantic relatedness is essential for different text processing tasks, especially in the cross-lingual setting due to the vocabulary mismatch problem. Many concept-based solutions to semantic relatedness have been proposed, which vary in the notions of concept and document representation. In our contribution, we provide a unified model that generalizes over the existing approaches to cross-lingual semantic relatedness. It shows that the main existing solutions represent different ways for constructing the concept space, which result in different document representations and implications for semantic relatedness computation. In particular, it al- lows us to provide theoretical justifications of existing solutions. Through the experimental evaluation, we show that the results support our theoretical findings.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
