In this paper, an architecture is presented for robust and portable summarisation, cosy-mats. cosy-mats can avoid the superficiality and domain-dependence of ie approaches by means of high-level (pragmatic and rhetorical) content selection features. It can also obviate the text typedependence and cumbersome computation involved in nlu-based summarisation systems, because surface criteria are additionally used in the content selection process, as are identified mappings between those and the high-level features. In this way, cosy-mats should retain its generic and scalable character, while also permitting intelligent application-specific processing. 1 Motivations behind the Design of COSY-MATS The goal of the research reported here has bee...
In this paper we describe our participation in task 1-very short single-document summaries in DUC 20...
Document summarization has been an intriguing task of Computational linguistics. A number of definit...
Automatic text summarization is a particularly challenging Natural Language Processing (NLP) task in...
Abstract: Problem statement: Text summarization takes care of choosing the most significant portions...
This report presents the design of a flexible summarization system consisting of several independen...
Given an information source, Automatic Text Summarization (ATS) produces the cluster of information ...
We describe a language-neutral automatic summarization system which aims to produce coherent extract...
There are presently a number of NLP tools available which can provide semantic information about a s...
Nowadays computers are becoming ever smaller and cheaper, and as a result they have become available...
Automatic summarization has advanced greatly in the past few decades. However, there remains a huge ...
The amount of data on the Internet has increased exponentially over the past decade. Therefore, we n...
This thesis focuses on methods for condensing large documents into highly concise sum-maries, achiev...
Summarization is the process of creating a more compact textual representation of a document or a co...
As the world globalize, internet is being used around the world. This resulted in the web docume...
In this paper, we present a Text Summarisation tool, compendium, capable of generating the most comm...
In this paper we describe our participation in task 1-very short single-document summaries in DUC 20...
Document summarization has been an intriguing task of Computational linguistics. A number of definit...
Automatic text summarization is a particularly challenging Natural Language Processing (NLP) task in...
Abstract: Problem statement: Text summarization takes care of choosing the most significant portions...
This report presents the design of a flexible summarization system consisting of several independen...
Given an information source, Automatic Text Summarization (ATS) produces the cluster of information ...
We describe a language-neutral automatic summarization system which aims to produce coherent extract...
There are presently a number of NLP tools available which can provide semantic information about a s...
Nowadays computers are becoming ever smaller and cheaper, and as a result they have become available...
Automatic summarization has advanced greatly in the past few decades. However, there remains a huge ...
The amount of data on the Internet has increased exponentially over the past decade. Therefore, we n...
This thesis focuses on methods for condensing large documents into highly concise sum-maries, achiev...
Summarization is the process of creating a more compact textual representation of a document or a co...
As the world globalize, internet is being used around the world. This resulted in the web docume...
In this paper, we present a Text Summarisation tool, compendium, capable of generating the most comm...
In this paper we describe our participation in task 1-very short single-document summaries in DUC 20...
Document summarization has been an intriguing task of Computational linguistics. A number of definit...
Automatic text summarization is a particularly challenging Natural Language Processing (NLP) task in...