Paper: HLTDI: CL-WSD Using Markov Random Fields for SemEval-2013 Task 10

ACL ID S13-2031
Title HLTDI: CL-WSD Using Markov Random Fields for SemEval-2013 Task 10
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2013
Authors

We present our entries for the SemEval- 2013 cross-language word-sense disambigua- tion task (Lefever and Hoste, 2013). We submitted three systems based on classifiers trained on local context features, with some elaborations. Our three systems, in increasing order of complexity, were: maximum entropy classifiers trained to predict the desired target- language phrase using only monolingual fea- tures (we called this system L1); similar clas- sifiers, but with the desired target-language phrase for the other four languages as features (L2); and lastly, networks of five classifiers, over which we do loopy belief propagation to solve the classification tasks jointly (MRF).