In this paper we introduce some of the key NLP-related problems related to the practice of Evidence Based Medicine and propose the task of multi-document query-focused summarisation as a key approach to solve these problems. We have completed a corpus for the development of such multi-document queryfocused summarisation task. The process to build the corpus combined the use of automated extraction of text, manual annotation, and crowdsourcing to find the reference IDs. We perform a statistical analysis of the corpus for the particular use of single-document summarisation and show that there is still a lot of room for improvement from the current baselines.
|Number of pages||9|
|Journal||Proceedings of the Australasian Language Technology Association Workshop 2011|
|Publication status||Published - 2011|
|Event||Australasian Language Technology Association Workshop (9th : 2011) - Canberra|
Duration: 1 Dec 2011 → 2 Dec 2011