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Janus - Multi Source Event Detection and Collection System for Effective Surveillance of Criminal Activity

Cyrus Shahabi, Seon Ho Kim, Luciano Nocera, Giorgos Constantinou, Ying Lu, Yinghao Cai, Gerard Medioni, Ramakant Nevatia, Farnoush Banaei-Kashani
2014 Journal of Information Processing Systems  
domain to extract events (actual instances of criminal events) while cross-referencing multimodal media streams and incidents in time and space to provide a comprehensive view to a human operator while  ...  More specifically, the system detects and analyzes series of incidents (an incident is an occurrence or artifact relevant to a criminal activity extracted from a single media stream) in the spatiotemporal  ...  Incident Extraction Module An incident is the data extracted from a single media stream that can be useful to understand and characterize criminal activity.  ... 
doi:10.3745/jips.2014.10.1.001 fatcat:jpskak5sdvft5hgkmrwrv5geaa

Semantic Storytelling, Cross-lingual Event Detection and other Semantic Services for a Newsroom Content Curation Dashboard

Julian Moreno-Schneider, Ankit Srivastava, Peter Bourgonje, David Wabnitz, Georg Rehm
2017 Proceedings of the 2017 EMNLP Workshop: Natural Language Processing meets Journalism  
In the present prototype they are generated in a backend service using clustering methods that operate on the extracted events.  ...  The prototype system also allows the automatic annotation of events in incoming content for the purpose of supporting journalists in identifying important, relevant or meaningful events and also to adapt  ...  Events in German or English texts are extracted using cross-lingual event detection (Section 3.1).  ... 
doi:10.18653/v1/w17-4212 dblp:conf/emnlp/SchneiderSBWR17 fatcat:g2rddoagkzd2fl2qhcdkmmk7au

Information Extraction: Past, Present and Future [chapter]

Jakub Piskorski, Roman Yangarber
2012 Multi-source, Multilingual Information Extraction and Summarization  
In this chapter we present a brief overview of Information Extraction, which is an area of natural language processing that deals with finding factual information in free text.  ...  Such a record may capture a real-world entity with its attributes mentioned in text, or a real-world event, occurrence, or state, with its arguments or actors: who did what to whom, where and when.  ...  An overview on the challenges in IE, in particular addressing cross-document IE, cross-lingual IE, and cross-media IE and fusion may be found, e.g., in [29] .  ... 
doi:10.1007/978-3-642-28569-1_2 dblp:series/tanlp/PiskorskiY13 fatcat:aoc7stoinzf6jc2dengl5ltwte

Joint Multimedia Event Extraction from Video and Article [article]

Brian Chen, Xudong Lin, Christopher Thomas, Manling Li, Shoya Yoshida, Lovish Chum, Heng Ji, Shih-Fu Chang
2021 arXiv   pre-print
We achieve 6.0% and 5.8% absolute F-score gain on multimodal event coreference resolution and multimedia event extraction.  ...  We introduce the new task of Video MultiMedia Event Extraction (Video M2E2) and propose two novel components to build the first system towards this task.  ...  We demonstrate our proposal generation component for selecting video segments with events. C. We list argument roles for each event type. D. We provide more details of our baseline. E.  ... 
arXiv:2109.12776v1 fatcat:xaxye5ngxzh4nda5zspf6tjgv4

Natural Language Processing for Information Extraction [article]

Sonit Singh
2018 arXiv   pre-print
With rise of digital age, there is an explosion of information in the form of news, articles, social media, and so on.  ...  Various sub-tasks of IE such as Named Entity Recognition, Coreference Resolution, Named Entity Linking, Relation Extraction, Knowledge Base reasoning forms the building blocks of various high end Natural  ...  Most of the event extraction systems consists of three sub-tasks (Amami et al., 2012): (1). Pre-Processing: It provides syntactic and semantic analysis of text as an input to event detector module.  ... 
arXiv:1807.02383v1 fatcat:3bdyidbjp5hn7c2w4iqve4ajvi

LOME: Large Ontology Multilingual Extraction [article]

Patrick Xia, Guanghui Qin, Siddharth Vashishtha, Yunmo Chen, Tongfei Chen, Chandler May, Craig Harman, Kyle Rawlins, Aaron Steven White, Benjamin Van Durme
2021 arXiv   pre-print
By doing so, the system constructs an event and entity focused knowledge graph. We can further apply third-party modules for other types of annotation, like relation extraction.  ...  Given a text document as input, our core system identifies spans of textual entity and event mentions with a FrameNet (Baker et al., 1998) parser.  ...  Li et al. (2020, GAIA) extend that work to support cross-media documents.  ... 
arXiv:2101.12175v2 fatcat:aviegtknb5hb5kf5eysd5qdili

Enhanced flood mapping using synthetic aperture radar (SAR) images, hydraulic modelling, and social media: A case study of Hurricane Harvey (Houston, TX)

Vincenzo Scotti, Mario Giannini, Francesco Cioffi
2020 Journal of Flood Risk Management  
Post event flooding maps are currently extracted from synthetic-aperture radar (SAR) and/or optical satellite images or developing using hydraulic model simulations.  ...  An integrated approach that combines satellite imagines of flooded areas, hydraulic models, and markers from social media that should reduce these uncertainties and allow a more accurate reconstruction  ...  | METHODS AND DATA | Methods The main goal of the study is to explore the possibility to obtain an accurate post-event flooding map integrating data extracted by satellite images, social markers and  ... 
doi:10.1111/jfr3.12647 fatcat:arxn6bupevcf7flku6oi6bybjy

Event Extraction Based on Deep Learning in Food Hazard Arabic Texts [article]

Fouzi Harrag, Selmene Gueliani
2020 arXiv   pre-print
Event extraction on the other hand indicates an understanding of events across social media posts streams.  ...  We proposed here a model based on deep recurrent networks to extract the events from social media feeds.  ...  The purpose of this study will be to propose an information extraction based system using recurrent neural networks in event extraction from social media feeds. B.  ... 
arXiv:2008.05014v1 fatcat:ghtuhrp2cvdnlcl3bukyihea44

A History and Theory of Textual Event Detection and Recognition

Yanping Chen, Zehua Ding, Qinghua Zheng, Yongbin Qin, Ruizhang Huang, Nazaraf Shah
2020 IEEE Access  
extraction, cross sentence extraction and joint relation extraction.  ...  [76] extracted knowledge from cross-lingual data. Angeli et al. [77] focused on canonically structured sentences with a few patterns.  ... 
doi:10.1109/access.2020.3034907 fatcat:ng7mbplve5dttao7ro6e2623ti

An overview of event extraction and its applications [article]

Jiangwei Liu, Liangyu Min, Xiaohong Huang
2021 arXiv   pre-print
As a particular form of Information Extraction (IE), Event Extraction (EE) has gained increasing popularity due to its ability to automatically extract events from human language.  ...  This study provides a comprehensive overview of the state-of-the-art event extraction methods and their applications from text, including closed-domain and open-domain event extraction.  ...  [5] develop a system that extracts real-time driving information using social media to provide important events for drivers, such as traffic jams and weather reports. Sheng et al.  ... 
arXiv:2111.03212v1 fatcat:o3oagnjrybh3vapvvp7twgjtuu

Applying semantic web technologies to knowledge sharing in aerospace engineering

A.-S. Dadzie, R. Bhagdev, A. Chakravarthy, S. Chapman, J. Iria, V. Lanfranchi, J. Magalhães, D. Petrelli, F. Ciravegna
2008 Journal of Intelligent Manufacturing  
This paper details an integrated methodology to optimise Knowledge reuse and sharing, illustrated with a use case in the aeronautics domain.  ...  The domain ontologies used for Knowledge Capture also guide the retrieval of the Knowledge extracted from the data using a Semantic Search System that provides support for multiple modalities during search  ...  Analysis of User Logs An analysis of the usage logs for the beta version of the first pilot of the HS system, (knowledge retrieval from Event Reports), for 20 users revealed varied use of the system, with  ... 
doi:10.1007/s10845-008-0141-1 fatcat:v2qeknjo5fgulnevw33tgcjhdm

Information Extraction: The Power of Words and Pictures

Marie-Francine Moens
2007 Journal of Computing and Information Technology  
A number of challenging and emerging research directions are enumerated and illustrated with results obtained by the research group of the author.  ...  There is not much research yet on cross-media alignment. We currently work on two projects with regard to this topic.  ...  The above extraction tasks (with the exception of relation recognition) are rather domain independent. But, they allow already identifying many of the details of an event (e.g., time, location).  ... 
doi:10.2498/cit.1001136 fatcat:tfpcm22xdranzmo6uo2sdlk7ya

Information Extraction: The Power of Words and Pictures

Marie-Francine Moens
2007 Information Technology Interfaces  
A number of challenging and emerging research directions are enumerated and illustrated with results obtained by the research group of the author.  ...  There is not much research yet on cross-media alignment. We currently work on two projects with regard to this topic.  ...  The above extraction tasks (with the exception of relation recognition) are rather domain independent. But, they allow already identifying many of the details of an event (e.g., time, location).  ... 
doi:10.1109/iti.2007.4283737 fatcat:2ajmmbxndfe5vlm6ppgbeinkqi

Integrating Offline Object Tracking, Signal Processing, and Artificial Intelligence to Classify Relevant Events in Sawmilling Operations

Stelian Alexandru Borz, Marius Păun
2020 Forests  
The tested system could represent a good and cheap solution to monitor sawmilling facilities aiming to develop our understanding on their technical efficiency.  ...  Discrete scalar signals produced from media files by tracking functionalities of the Kinovea® software (13,000 frames) were used to derive a differential signal, then a filtering-to-the-root procedure  ...  Signal Extraction, Processing, and Event Documentation Extraction of the discrete scalar signals from the media file was done by the means of the Kinovea ® free software.  ... 
doi:10.3390/f11121333 fatcat:ykfoh3yimnef3gby7bm467tc5e

Real-time natural language processing for crowdsourced road traffic alerts

C.D. Athuraliya, M.K.H. Gunasekara, Srinath Perera, Sriskandarajah Suhothayan
2015 2015 Fifteenth International Conference on Advances in ICT for Emerging Regions (ICTer)  
Instead of fully relying on solutions provided by the authorities, public has come up with different approaches to deal with this problem.  ...  An architecture that can effectively capture, transform and present this data has been proposed in this study and it has been implemented in a prototype level to demonstrate the uses of such a model.  ...  A single data input is considered as an event and a continuous data input is identified as an event stream in CEP context.  ... 
doi:10.1109/icter.2015.7377667 fatcat:oqva5wn3uja3he4sp4ma4g5ymu
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