text simplification – Ixa Group. Language Technology. https://www.ehu.eus/ehusfera/ixa News from the Ixa Group in the University of the Basque Country Wed, 30 Apr 2014 16:20:34 +0000 en-US hourly 1 https://wordpress.org/?v=5.6.4 Talk: Text summarization using discourse knowledge. Text simplification and co-reference (T. Pardo) https://www.ehu.eus/ehusfera/ixa/2014/02/25/talk-text-summarization-using-discourse-knowledge-text-simplification-and-co-reference-t-pardo-feb-28/ https://www.ehu.eus/ehusfera/ixa/2014/02/25/talk-text-summarization-using-discourse-knowledge-text-simplification-and-co-reference-t-pardo-feb-28/#respond Tue, 25 Feb 2014 17:22:33 +0000 http://www.ehu.eus/ehusfera/ixa/?p=1956 Speaker: Thiago Pardo Data: February 28th 2014, Friday Time: 10:30 Room: 3.1 computer Science Faculty (UPV/EHU)

Title: “Text summarization using discourse knowledge. Text simplification and co-reference”

Abstract:

Thiago A.S. Pardo has also developped many systems for text summarization. For example, the following:

Summarization extension to Google Chrome – extension for on-line news [...]]]> Speaker: Thiago Pardo
Data: February 28th 2014, Friday
Time: 10:30
Room: 3.1 computer Science Faculty (UPV/EHU)

Title: “Text summarization using discourse knowledge. Text simplification and co-reference”

Abstract:

Thiago A.S. Pardo has also developped many systems for text summarization. For example, the following:

  • Summarization extension to Google Chrome – extension for on-line news summarization, based on RSumm system
  • TextTiling for Portuguese – topical segmentation tool adapted to news texts in Brazilian Portuguese, based on the work of Hearst (1997)
  • CSTSumm – a multi-document summarizer based on CST information (see README.txt in the rar file)
  • CSTNews – a corpus with 50 clusters of news texts – in Portuguese – with their multi-document summaries, as well as several discourse and semantic annotations
  • TeMário 2006 – 150 news texts and the corresponding human summaries, which complement the original TeMário corpus, resulting in a corpus of 250 texts for summarization purposes
  • DMSumm – Discourse Modeling SUMMarizer
  • NeuralSumm – NEURAL network for SUMMarization (for scientific texts) – with tools for training the system with new data, if necessary
  • GistSumm – GIST SUMMarizer
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