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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