In this paper we report on a series of experiments investigating the path from text summarisation to style-specific summarisation of spoken news stories. We show that the portability of traditional text summarisation features to broadcast news is dependent on the diffusiveness of the information in the broadcast news story. An analysis of two categories of news stories (containing only read speech or including some spontaneous speech) demonstrates the importance of the style and the quality of the transcript, when extracting the summary-worthy information content. Further experiments indicate the advantages of doing style-specific summarisation of broadcast news
The purpose of this paper is to apply the seven textuality criteria of Beaugrande and Dressler (1982...
From a sociolinguistic and discourse-analytic perspective, news stories have often been considered a...
In this paper, we introduce the task of identifying general and specific sentences in news articles....
In this paper we seek to explore the interaction between the style of a broadcast news story and its...
In this paper we seek to explore the interaction between the style of a broadcast news story and its...
In this paper we report on a series of experiments which compare the effect of individual features ...
This thesis describes the automation and evaluation of structural classification and summarisation o...
We present results of an empirical study of the usefulness of different types of features in selecti...
Human-quality text summarization systems are difficult to design, and even more difficult to evaluat...
This work proposes a trainable system for summarizing news and obtaining an approximate argumentati...
Extractive summarization, with the intention of automatically selecting a set of representative sent...
This paper presents a fully automatic news skimming system which takes a broadcast news audio stream...
The extraction of important sentences is a key technique for automatic summarization. Whereas most r...
The thesis explores the rhetorical properties of the modem news report. In order to account for the ...
Automatic summarisation of spoken audio is a fairly new research pursuit, in large part due to the r...
The purpose of this paper is to apply the seven textuality criteria of Beaugrande and Dressler (1982...
From a sociolinguistic and discourse-analytic perspective, news stories have often been considered a...
In this paper, we introduce the task of identifying general and specific sentences in news articles....
In this paper we seek to explore the interaction between the style of a broadcast news story and its...
In this paper we seek to explore the interaction between the style of a broadcast news story and its...
In this paper we report on a series of experiments which compare the effect of individual features ...
This thesis describes the automation and evaluation of structural classification and summarisation o...
We present results of an empirical study of the usefulness of different types of features in selecti...
Human-quality text summarization systems are difficult to design, and even more difficult to evaluat...
This work proposes a trainable system for summarizing news and obtaining an approximate argumentati...
Extractive summarization, with the intention of automatically selecting a set of representative sent...
This paper presents a fully automatic news skimming system which takes a broadcast news audio stream...
The extraction of important sentences is a key technique for automatic summarization. Whereas most r...
The thesis explores the rhetorical properties of the modem news report. In order to account for the ...
Automatic summarisation of spoken audio is a fairly new research pursuit, in large part due to the r...
The purpose of this paper is to apply the seven textuality criteria of Beaugrande and Dressler (1982...
From a sociolinguistic and discourse-analytic perspective, news stories have often been considered a...
In this paper, we introduce the task of identifying general and specific sentences in news articles....