Automatic Text Summarisation | |
| Keywords: | summary, latent semantic analysis, summarisation, summarization, summary evaluation, sentence compression, paraphrasing, news, social media, |
| Description: | As the Internet is growing exponentially, huge amount of information is available online. The information overload problem can be curtailed by automatic summarisation. Currently studied topics are: language-independent summarisation (LSA, LDA) of news, social media and scientific papers; summarisation evaluation in multiple languages; opinion and comparative summarisation; using coreference for summarisation; and summary generation (sentence compression and paraphrasing). |
| Status: | In progress |
People on this project:
Josef Steinberger
E-mail: jstein@kiv.zcu.cz
Josef is an assistant professor at the Department of computer science and engineering at the University of West Bohemia in Pilsen, Czech Republic. He is interested in media monitoring and analysis, mainly automatic text summarisation, sentiment analysis and coreference resolution.
Karel Ježek
Phone: +420 377632475, 377632400
E-mail: jezek_ka@kiv.zcu.cz
WWW: http://www-kiv.zcu.cz/~jezek_ka/
Karel is a group coordinator and a supervisor of PhD students working at research projects of this Group.
Michal Campr
E-mail: mcampr@kiv.zcu.cz
WWW: http://home.zcu.cz/~mcampr/
Michal graduated from the University of West Bohemia in 2011, specialized in software engineering. He is interested in text summarization.
Jiřà Hynek
Phone: +420 603492837
E-mail: jhynek@kiv.zcu.cz
WWW: http://www.kiv.zcu.cz/staff/osobni.php?id_osoby=147&lang=EN
Jiri, a co-founder of the Text-Mining Research Group, works as a lecturer at the Dept. of Computer Science and Engineering. His research interests include machine learning and language-related problems. Jiri’s teaching activity is focused on good writing style and technical writing in general.
Related Downloads:
Almus: Automatic Text Summarizer | |
| Size: | 2 kB |
| Desc: | The system creates a summary of a set of documents dealing with the same topic. It is also possible to generate an update summary by specifying the basic document collection. The summarization method is based on the latent semantic analysis. |
| Related: | Automatic Text Summarisation |