Description:
Comunicació presentada a: 51st Annual Meeting of the Association for Computational Linguistics, celebrat a Sofia, Bulgaria, del 4 al 9 d'agost de 2013.
Abstract:
We present the result of an annotation task on regular polysemy for a series of semantic classes or dot types in English, Danish and Spanish. This article describes the annotation process, the results in terms of inter-encoder agreement, and the sense distributions obtained with two methods: majority voting with a theory-compliant backoff strategy, and MACE, an unsupervised system to choose the most likely sense from all the annotations.