Add to ORKGWe present the results of our Arabic and English runs at the TAC 2011 Multilingual summarisation (MultiLing) task. We participated with centroid-based clustering for multidocument summarisation. The automatically generated Arabic and English summaries were evaluated by human participants and by two automatic evaluation metrics, ROUGE and AutoSummENG. The results are compared with the other systems that participated in the same track on both Arabic and English languages. Our Arabic summariser performed particularly well in the human evaluation
We present a new approach for summarizing clusters of documents on the same event, some of which are...
AbstractAutomatic text summarization aims to produce summaries for one or more texts using machine t...
With the rapid growth of data on the internet, there is an essential need for automatic summarizatio...
We present the results of our Arabic and English runs at the TAC 2011 Multilingual summarisation (Mu...
In this paper we show the results of our participation in the MultiLing 2013 summarisation tasks. We...
The Text Analysis Conference MultiLing Pilot of 2011 posed a multi-lingual summarization task to the...
In this paper we explore clustering for multi-document Arabic summarisation. For our evaluation we u...
In this paper we explore clustering for multi-document Arabic summarisation. For our evaluation we u...
Multi-document summarisation is the process of producing a single summary of a collection of related...
Multi-document summarisation is the process of producing a single summary of a collection of related...
The paper describes a language indepen-dent multi-document centroid-based summa-rization system. The...
The process of multi-document summarization is producing a single summary of a collection of related...
Multi-document summarisation is the process of producing a single summary of a collection of related...
We present a new approach for summarizing topically clustered documents from two sources, English an...
In this paper we present our generic extractive Arabic and English multi-document summarisers. We al...
We present a new approach for summarizing clusters of documents on the same event, some of which are...
AbstractAutomatic text summarization aims to produce summaries for one or more texts using machine t...
With the rapid growth of data on the internet, there is an essential need for automatic summarizatio...
We present the results of our Arabic and English runs at the TAC 2011 Multilingual summarisation (Mu...
In this paper we show the results of our participation in the MultiLing 2013 summarisation tasks. We...
The Text Analysis Conference MultiLing Pilot of 2011 posed a multi-lingual summarization task to the...
In this paper we explore clustering for multi-document Arabic summarisation. For our evaluation we u...
In this paper we explore clustering for multi-document Arabic summarisation. For our evaluation we u...
Multi-document summarisation is the process of producing a single summary of a collection of related...
Multi-document summarisation is the process of producing a single summary of a collection of related...
The paper describes a language indepen-dent multi-document centroid-based summa-rization system. The...
The process of multi-document summarization is producing a single summary of a collection of related...
Multi-document summarisation is the process of producing a single summary of a collection of related...
We present a new approach for summarizing topically clustered documents from two sources, English an...
In this paper we present our generic extractive Arabic and English multi-document summarisers. We al...
We present a new approach for summarizing clusters of documents on the same event, some of which are...
AbstractAutomatic text summarization aims to produce summaries for one or more texts using machine t...
With the rapid growth of data on the internet, there is an essential need for automatic summarizatio...