Automatic text summarisation is the process of creating a summary from one or more
documents by eliminating the details and preserving the worthwhile information. This article …

Obtaining extractive summaries by using functions induced from a training set continue to be
a great challenge in the domain of the automatic text summary. This paper presents the …

The use of ontologies to represent biomedical data and knowledge has increased in the
application of biological and healthcare research. This dissertation integrates and analyzes …

This research presents a very efficient machine learning method based on Conditional
Random Fields (CRF) for the extraction of multi-document summaries. We have used the …

One major challenge in the field of machine learning, especially in classification problems, is
to optimize the attribute space in order to obtain a classification function, which will be used …

The research topic of this thesis is semantic representation of text document and abstractive
summarisation. Designing a semantic representation of text document is an important …

Automatic summary, as the name suggests, is from a single article or multiple articles, the
removal point to summarize the article to the effect of technology. It plays an important role in …

Informasi dalam bentuk teks berita telah menjadi salah satu komoditas yang paling penting
dalam era informasi ini. Perkembangan teknologi internet berdampak bertambahnya jumlah …

Résumé De nombreuses méthodes et techniques d'intelligence artificielle pour l'extraction
d'information, la reconnaissance des formes et l'exploration de données sont utilisées pour …