We present Serelex, a system that provides, given a query in English, a list of semantically related words. The terms are ranked according to an original semantic similarity measure learnt from a huge corpus. The system performs comparably to dictionary-based baselines, but does not require any semantic resource such as WordNet. Our study shows that users are completely satisfied with 70% of the query results. © 2013 Springer-Verlag.
Panchenko, A.ab , Romanov, P.b , Morozova, O.a , Naets, H.a , Philippovich, A.b , Romanov, A.b , Fairon, C.a
Serelex: Search and visualization of semantically related words (Conference Paper)