Resumen de Shimmering lexical sets
Patrick Hanks, Elisabetta Jezek
For natural language processing and other applications, it has long seemed desirable to group words together according to their essential semantic type-[[Human]], [[Animate]], [[Artefact]], [[Physical Object]], [[Event]], etc.-and to arrange them into a hierarchy. Vast lexical and conceptual ontologies such as WordNet and BSO have been built on this foundation. Examples such as fire a [[Human]] (=dismiss from employment vs. fire a [[Weapon]] (=cause to discharge a projectile) have led to the expectation that semantic types such as [[Weapon]] and [[Human]] can be used systematically for word sense disambiguation. Unfortunately, this expectation is often unwarranted. For example, one attends an [[Event]]-a meeting, a lecture, a funeral, a coronation, etc., but there are many events-e.g. a thunderstorm, a suicide-that people do not attend, while some of the things that people do attend.e.g. a school, a church, a clinic-are not [[Event]]s, but rather [[Location]]s where specific events take place. The sense of attend is much the same in all these examples, unaffected by differences in the semantic type of the direct object. Nevertheless, the pattern [[Human]] attend [[Event]] is well established and intuitively canonical.
