Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 86-94 |
| 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 |
Bibliographical note
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