Computational semantic analysis of language: SemEval-2007 and beyond Introduction to the special issue

摘要

Semantic processing is at the core of language understanding. It comprises a myriad of related tasks, which need to be tackled in order to grasp the meaning of texts. The Senseval and SemEval campaigns are grassroots efforts to provide evaluation datasets for semantic tasks, in a broad sense.rnThis special issue presents a significant portion of the most relevant tasks in SemEval-2007, with detailed analysis of tasks on nominal relations, metonymic relations, lexical substitution and temporal relations. Those papers outline the motivation for the task, the guidelines used to create the data and resources, the participant systems, and the main contributions and lessons learned from the evaluation. In addition, this issue presents a work on robust verb sense disambiguation, which also includes a post-workshop evaluation using SemEval-2007 data.