Student research opportunities

Finding Definitions for Complex Terms

Project Code: CECS_935

This project is available at the following levels:
Masters, PhD
Please note that this project is only for higher degree (postgraduate) applicants.

Keywords:

Natural Language Processing, Text Accessibility, Text Simplification, Monolingual Text Alignment, Definition Extraction

Supervisor:

Dr Gabriela Ferraro

Outline:

Text Simplification is a hot topic in Natural Language Processing (NLP). The aim of Text Simplification is to make a text more accessible. In order to simplify a text several NLP techniques can be applied, for instance, text segmentation, terminology linking to definitions, lexical simplification, syntactic simplification, paraphrasing, among others. This projects deals with linking terminology to definitions in the scope of a patent document. Patents documents are very difficult to comprehend, especially for their complex terminology. Thus, means that helps to understand those terms are highly desirable.

Goals of this project

In same cases, the terms in a patent are explicitly defined in the patent document itself. The aim of this project is to align terms with their definitions in the scope of a document by applying Natural Language Processing techniques. Three main tasks are distinguish, i) terminology identification, ii) definition extraction and iii) term-definition alignment.