Abstract
The validity of semantic inferences depends
on the contexts in which they are applied.
We propose a generic framework for handling
contextual considerations within applied inference,
termed Contextual Preferences. This
framework defines the various context-aware
components needed for inference and their
relationships. Contextual preferences extend
and generalize previous notions, such as selectional
preferences, while experiments show
that the extended framework allows improving
inference quality on real application data
| Original language | American English |
|---|---|
| Title of host publication | ACL |
| State | Published - 2008 |