论文信息 - UBC-UMB: Combining unsupervised and supervised systems for all-words WSD

UBC-UMB: Combining unsupervised and supervised systems for all-words WSD

This paper describes the joint submission of two systems to the all-words WSD sub-task of SemEval-2007 task 17. The main goal of this work was to build a competitive unsupervised system by combining heterogeneous algorithms. As a secondary goal, we explored the integration of unsupervised predictions into a supervised system by different means.

Timothy Baldwin | Eneko Agirre | David Martínez | Oier Lopez de Lacalle

[1] Montse Cuadros,et al. Quality Assessment of Large Scale Knowledge Resources , 2006, EMNLP.

[2] Eneko Agirre,et al. Word Relatives in Context for Word Sense Disambiguation , 2006, ALTA.

[3] Yorick Wilks,et al. The Interaction of Knowledge Sources in Word Sense Disambiguation , 2001, CL.

[4] Mirella Lapata,et al. Ensemble Methods for Unsupervised WSD , 2006, ACL.

[5] Eneko Agirre,et al. Publicly Available Topic Signatures for all WordNet Nominal Senses , 2004, LREC.