Volume 7814 LNCS, 2013, Pages 837-840
35th European Conference on Information Retrieval, ECIR 2013; Moscow; Russian Federation; 24 March 2013 through 27 March 2013; Code 96205


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.

DOI: 10.1007/978-3-642-36973-5_97

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)


Leave a Reply

Fill in your details below or click an icon to log in: Logo

You are commenting using your account. Log Out /  Change )

Google+ photo

You are commenting using your Google+ account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )


Connecting to %s