new/sleak - Information Extraction and Visualization for Investigative Data Journalists

被引：0

作者：

Yimam, Seid Muhie ^{[1
]}

Ulrich, Heiner ^{[2
]}

von Landesberger, Tatiana ^{[3
]}

Rosenbach, Marcel ^{[2
]}

Regneri, Michaela ^{[2
]}

Panchenko, Alexander ^{[1
]}

Lehmann, Franziska ^{[3
]}

Fahrer, Uli ^{[1
]}

Biemann, Chris ^{[1
]}

Ballweg, Kathrin ^{[3
]}

机构：

[1] Tech Univ Darmstadt, Comp Sci Dept, FG Language Technol, Darmstadt, Germany

[2] Tech Univ Darmstadt, Comp Sci Dept, Graph Interact Syst Grp, Darmstadt, Germany

[3] SPIEGEL Verlag, Hamburg, Germany

来源：

PROCEEDINGS OF 54TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL-2016): SYSTEM DEMONSTRATIONS | 2016年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：163 / 168

页数：6

共 50 条

[31] Evaluating the use of data-based offender profiling by researchers, practitioners and investigative journalists to address unresolved serial homicides
Yaksic, Enzo
[J]. JOURNAL OF CRIMINAL PSYCHOLOGY, 2020, 10 (02) : 123 - 144
[32] CrimeProfiler: Crime Information Extraction and Visualization from News Media
Dasgupta, Tirthankar
Naskar, Abir
Saha, Rupsa
Dey, Lipika
[J]. 2017 IEEE/WIC/ACM INTERNATIONAL CONFERENCE ON WEB INTELLIGENCE (WI 2017), 2017, : 541 - 549
[33] HEURISTICAL FEATURE EXTRACTION FROM LIDAR DATA AND THEIR VISUALIZATION
Ghosh, Suddhasheel
Lohani, Bharat
[J]. ISPRS WORKSHOP LASER SCANNING 2011, 2011, 38-5 (W12): : 13 - 18
[34] Extraction of Vortices and Exploration of the Ocean Data by Visualization System
Zhang, Chi
Uenaka, Takashi
Sakamoto, Naohisa
Koyamada, Koji
[J]. SYSTEM SIMULATION AND SCIENTIFIC COMPUTING, PT II, 2012, 327 : 114 - 123
[35] Feature Extraction and Visualization for Symbolic People Flow Data
Miyagi, Yuri
Onishi, Masaki
Watanabe, Chiemi
Itoh, Takayuki
Taktsuka, Masahiro
[J]. PROCEEDINGS 2016 20TH INTERNATIONAL CONFERENCE INFORMATION VISUALISATION IV 2016, 2016, : 9 - 14
[36] A Data Extraction Algorithm for Huge Data Visualization Based on Computational Meshes
Ye, Yuan
[J]. 2014 INTERNATIONAL CONFERENCE ON MANAGEMENT OF E-COMMERCE AND E-GOVERNMENT (ICMECG), 2014, : 264 - 267
[37] Keyframe Extraction from Motion Capture Data for Visualization
Yang, Yang
Zeng, Lanling
Leung, Howard
[J]. 2016 INTERNATIONAL CONFERENCE ON VIRTUAL REALITY AND VISUALIZATION (ICVRV 2016), 2016, : 154 - 157
[38] CrowdChart: Crowdsourced Data Extraction From Visualization Charts
Chai, Chengliang
Li, Guoliang
Fan, Ju
Luo, Yuyu
[J]. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2021, 33 (11) : 3537 - 3549
[39] VizLOD: Schema Extraction and Visualization of Linked Open Data
Anutariya, Chutiporn
Dangol, Reshma
[J]. 2018 15TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER SCIENCE AND SOFTWARE ENGINEERING (JCSSE), 2018, : 465 - 470
[40] Extraction, Processing and Visualization of Peer Assessment Data in Moodle
Chaparro-Pelaez, Julian
Iglesias-Pradas, Santiago
Rodriguez-Sedano, Francisco J.
Acquila-Natale, Emiliano
[J]. APPLIED SCIENCES-BASEL, 2020, 10 (01):

← 1 2 3 4 5 →