Yimam, Seid Muhie ; Ulrich, Heiner ; Landesberger von Antburg, Tatiana ; Rosenbach, Marcel ; Regneri, Michaela ; Panchenko, Alexander ; Fahrer, Uli ; Biemann, Chris ; Ballweg, Kathrin (2016)
new/s/leak - Information Extraction and Visualization for Investigative Data Journalists.
The 54th Annual Meeting of the Association for Computational Linguistics. Berlin, Germany (07.08.2016-12.08.2016)
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
We present new/s/leak, a novel tool developed for and with the help of journalists, which enables the automatic analysis and discovery of newsworthy stories from large textual datasets. We rely on different NLP preprocessing steps such named entity tagging, extraction of time expressions, entity networks, relations and metadata. The system features an intuitive web-based user interface based on network visualization combined with data exploring methods and various search and faceting mechanisms. We report the current state of the software and exemplify it with the WikiLeaks PlusD (Cablegate) data.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2016 |
| Autor(en): | Yimam, Seid Muhie ; Ulrich, Heiner ; Landesberger von Antburg, Tatiana ; Rosenbach, Marcel ; Regneri, Michaela ; Panchenko, Alexander ; Fahrer, Uli ; Biemann, Chris ; Ballweg, Kathrin |
| Art des Eintrags: | Bibliographie |
| Titel: | new/s/leak - Information Extraction and Visualization for Investigative Data Journalists |
| Sprache: | Englisch |
| Publikationsjahr: | August 2016 |
| Verlag: | The Association for Computational Linguistics |
| Veranstaltungstitel: | The 54th Annual Meeting of the Association for Computational Linguistics |
| Veranstaltungsort: | Berlin, Germany |
| Veranstaltungsdatum: | 07.08.2016-12.08.2016 |
| Kurzbeschreibung (Abstract): | We present new/s/leak, a novel tool developed for and with the help of journalists, which enables the automatic analysis and discovery of newsworthy stories from large textual datasets. We rely on different NLP preprocessing steps such named entity tagging, extraction of time expressions, entity networks, relations and metadata. The system features an intuitive web-based user interface based on network visualization combined with data exploring methods and various search and faceting mechanisms. We report the current state of the software and exemplify it with the WikiLeaks PlusD (Cablegate) data. |
| Freie Schlagworte: | Forschungsgruppe Visual Search and Analysis (VISA), Information extraction, Information visualization |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Mathematisches und angewandtes Visual Computing |
| Hinterlegungsdatum: | 07 Mai 2019 08:42 |
| Letzte Änderung: | 22 Jul 2021 18:31 |
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