It has now been 50 years since the publication of Luhn's seminal paper on automatic
summarization. During these years the practical need for automatic summarization has …

This paper describes a method for language independent extractive summarization that
relies on iterative graph-based ranking algorithms. Through evaluations performed on a …

System and method for the indexing and retrieval of seman tically annotated information
units from a collection of semantically annotated indexed information units in response to a …

We present analyses aimed at eliciting which specific aspects of discourse provide the
strongest indication for text importance. In the context of content selection for single …

We describe research carried out as part of a text summarisation project for the legal domain
for which we use a new XML corpus of judgments of the UK House of Lords. These …

The present invention provides a method of processing at least one natural language text
using a graph. The method includes determining a plurality of text units based upon the …

Sentence compression holds promise for many applications ranging from summarization to
subtitle generation. The task is typically performed on isolated sentences without taking the …

Extractive summaries are usually presented as lists of sentences with no expected cohesion
between them and with plenty of redundant information if not accounted for. In this paper, we …

Most of the text summarization research carried out to date has been concerned with the
summarization of short documents (eg, news stories, technical reports), and very little work if …

A discussion of coherence in natural language that develops criteria for descriptively
adequate data structures and examines the influence of coherence on psycholinguistic …