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Within ULM-1, Rubén Izquierdo & Marten Postma focus on Word Sense Disambiguation (WSD).

Words have many meanings and meanings can be expressed by many words. That is what is being studied in this thesis. People are very good at interpreting language, while computers have more difficulty with this.

Ambiguity Demo

To make computers better at interpreting language, researchers have opted to cut the complex problem into pieces. An example of this is the Word Sense Disambiguation task, of which the purpose is to indicate what a word means in a particular sentence, e.g., what means the word horse in the sentence with that move of the horse, the opponent is checkmate. But many more tasks have been devised. Consider, for example, interpreting proper names, time expressions or indicating which expression is about the same entity, e.g., that Jan and he refer to the same person in the sentence Jan goes home, and he goes to eat a cookie.

In this project, we investigate the Word Sense Disambiguation task. The task is one of the oldest in the field, and many approaches have been tried to solve the task. We wonder why this is the case and what we can learn from this.

Selected publications
The following publications are the main publications from the ULM project 1:

In order to get a better understanding of the ambiguity of natural language, several resources have been created within the project: