Text Summarisation based on Human Language Technologies and its Applications

The research work carried out in this thesis focuses on Text Summarisation, proposing and developing compendium Text Summarisation tool. This tool takes into account the cognitive perspective, that provides insights of how humans summarise, as well as computational issues needed for its automation. For evaluating compendium, we selected different corpora belonging to a wide range of domains and textual genres. Moreover, we also performed an extrinsic evaluation, applying compendium to three Human Languages Technologies tasks: question answering, opinion minng and text classification. The results obtained show that the generated summaries are very appropriate both for individual users as well as for other Human Language Technologies applications.