A Participatory Model for Multi-Document Health Information Summarisation
نویسندگان
چکیده
منابع مشابه
Using a Keyness Metric for Single and Multi Document Summarisation
In this paper we show the results of our participation in the MultiLing 2013 summarisation tasks. We participated with single-document and multi-document corpus-based summarisers for both Arabic and English languages. The summarisers used word frequency lists and log likelihood calculations to generate single and multi document summaries. The single and multi summaries generated by our systems ...
متن کاملMulti-Document Summarisation Using Generic Relation Extraction
Experiments are reported that investigate the effect of various source document representations on the accuracy of the sentence extraction phase of a multidocument summarisation task. A novel representation is introduced based on generic relation extraction (GRE), which aims to build systems for relation identification and characterisation that can be transferred across domains and tasks withou...
متن کاملCombining a mixture language model and Naive Bayes for multi-document summarisation
The TNO system for multi-document summarisation is based on an extraction approach. We combined two statistical methods for sentence selection with a variant of the MMR algorithm. After sentence segmentation, each sentence is scored on the basis of two probabilistic models. The first model scores sentences based on a (generative) unigram language model, which is a mixture of a cluster model, a ...
متن کاملComparing Redundancy Removal Techniques for Multi–Document Summarisation
We describe an experiment to determine the quality of different similarity metrics, with regard to redundancy removal. The three metrics under examination are WordNet distance, Cosine Similarity (Vector-space model) and Latent Semantic Indexing. Our experiment was performed on a corpus drawn from the 2003 Document Understanding Conference (DUC)[1].
متن کاملInteractive Document Summarisation
This paper describes the Interactive Document Summariser (IDS), a dynamic document summarisation system, which can help users of digital libraries to access on-line documents more effectively. IDS provides dynamic control over summary characteristics, such as length and topic focus, so that changes made by the user are instantly reflected in an on-screen summary. A range of ‘summary-in-context’...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Australasian Journal of Information Systems
سال: 2017
ISSN: 1449-8618,1449-8618
DOI: 10.3127/ajis.v21i0.1393