Serelex: Search and Visualization of Semantically Related Words

Panchenko, Alexander;Fairon, Cédrick;Naets, Hubert;Morozova, Olga
(2013) 35th European Conference on Information Retrieval — Location: Moscou, Russie (24.March.2013)

Files

ecir-serelex.pdf
  • Open Access
  • Adobe PDF
  • 747.57 KB
Download

Details

Authors
Abstract
We present a system which provides, given a query, a list of semantically related terms. The terms are ranked accordingly to an original semantic similarity measure learned from a huge corpus. The system performs comparably to dictionary-based baselines with no need of any semantic resource such as WordNet. The further study shows that users are completely satisfied with 70% of query results.
Affiliations

Citations

  • APA
  • Chicago
  • FWB

Panchenko, A., Fairon, C., Naets, H., & Morozova, O. (2013). Serelex: Search and Visualization of Semantically Related Words. 35th European Conference on Information Retrieval, Moscou, Russie. https://hdl.handle.net/2078.5/159941