Automatic lexical semantic classification of nouns
This work addresses lexical semantic classification for natural language processing, but it is incremental as it builds on known noun classes and cue-based methods.
The paper tackled automatic noun classification into lexical semantic classes using linguistic context cues in English and Spanish, showing that cue-based classification is a useful tool despite the task's complexity.
The work we present here addresses cue-based noun classification in English and Spanish. Its main objective is to automatically acquire lexical semantic information by classifying nouns into previously known noun lexical classes. This is achieved by using particular aspects of linguistic contexts as cues that identify a specific lexical class. Here we concentrate on the task of identifying such cues and the theoretical background that allows for an assessment of the complexity of the task. The results show that, despite of the a-priori complexity of the task, cue-based classification is a useful tool in the automatic acquisition of lexical semantic classes.