A Word Sense Disambiguatin Approach For Romanian Language
Liviu Andrei Scutelnicu · Procedia Computer Science · 2023
The automatic word sense disambiguation has been a topic of interest since the 1950s. Meaning disambiguation is not an end in itself, it is an intermediate process, necessary at a certain level to use in natural language processing. It is obviously useful for applications that require language interpretation (message communication, human-machine interaction), but it is also used in fields whose main purpose is not to understand natural language. In this paper we propose an approach for word sense disambiguation for Romanian language, based on a supervised learning, a large number of features, and information gain to reduce the dimensions. The evaluation for the Romanian words subtask is produced by the extensive feature set in conjunction with a Maximum Entropy classifier and outcomes that are better than other similar researches.