Serelex: Search and Visualization of Semantically Related Words
- Cite this paper as:
- Panchenko A. et al. (2013) Serelex: Search and Visualization of Semantically Related Words. In: Serdyukov P. et al. (eds) Advances in Information Retrieval. ECIR 2013. Lecture Notes in Computer Science, vol 7814. Springer, Berlin, Heidelberg
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.
Keywordssemantic similarity measure visualization extraction
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