Paper: What to be? - Electronic Career Guidance Based on Semantic Relatedness

ACL ID P07-1130
Title What to be? - Electronic Career Guidance Based on Semantic Relatedness
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2007
Authors

We present a study aimed at investigating the use of semantic information in a novel NLP application, Electronic Career Guid- ance (ECG), in German. ECG is formu- lated as an information retrieval (IR) task, whereby textual descriptions of professions (documents) are ranked for their relevance to natural language descriptions of a per- son’s professional interests (the topic). We compare the performance of two semantic IR models: (IR-1) utilizing semantic relat- edness (SR) measures based on either word- net or Wikipedia and a set of heuristics, and (IR-2) measuring the similarity between the topic and documents based on Explicit Semantic Analysis (ESA) (Gabrilovich and Markovitch, 2007). We evaluate the perfor- mance of SR measures intrinsically on the tasks of (T-1) computing SR, and (...