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Automatic Keyword Extraction for Text Summarization: A Survey
[article]
2017
arXiv
pre-print
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In this paper, recent literature on automatic keyword extraction and text summarization are presented since text summarization process is highly depend on keyword extraction. ...
This literature includes the discussion about different methodology used for keyword extraction and text summarization. ...
An SVM classifier is used to distinguish negative events from other events. [44] proposed a method for temporal relation extraction based on the Expectation-Maximization (EM) algorithm. ...
arXiv:1704.03242v1
fatcat:poa2yh2uhbcgfaemgfqa5ylxim
Unsupervised Learning of Narrative Event Chains
2008
Annual Meeting of the Association for Computational Linguistics
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The second applies a temporal classifier to partially order the connected events. Finally, the third prunes and clusters self-contained chains from the space of events. ...
A narrative event chain is a partially ordered set of events related by a common protagonist. We describe a three step process to learning narrative event chains. ...
Thanks to the reviewers for helpful comments and the suggestion for a non-full-coreference baseline. ...
dblp:conf/acl/ChambersJ08
fatcat:cj4gni3swvec7hsotqxucjdg3u
Visual structures for seeing cyber policy strategies
2015
2015 7th International Conference on Cyber Conflict: Architectures in Cyberspace
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To do this, we examined publicly available analyses related to three types of security issues: 1) epidemic, 2) cyber attacks on an industrial network, and 3) threat of terrorist attack. ...
However, based on our analysis, we identified a range of different visual structures, and their possible trade-offs/limitation is framing strategies for cyber policy. ...
Based on the extractions, the documents were then examined for items of interest. Key entities and phrases were temporally arranged based on related themes, entities and events for further analysis. ...
doi:10.1109/cycon.2015.7158474
dblp:conf/cycon/StollB15
fatcat:hx2ujlb6urgflbykrjqjjwc37i
À la Recherche du Temps Perdu: extracting temporal relations from medical text in the 2012 i2b2 NLP challenge
2013
JAMIA Journal of the American Medical Informatics Association
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Discussion and conclusions Methods for general relation extraction extended well to temporal relations, and gave top-ranked state-of-the-art results. ...
The 2012 i2b2 NLP challenge focused on the extraction of temporal relationships between concepts within textual hospital discharge summaries. ...
Our features (see supplementary online appendix A) summarized the two events involved in terms of their local contexts and the words and extents that come between them. ...
doi:10.1136/amiajnl-2013-001624
pmid:23523875
pmcid:PMC3756270
fatcat:bdtvz7u4svddrh6zb5xbmtz36q
Story-Driven Summarization for Egocentric Video
2013
2013 IEEE Conference on Computer Vision and Pattern Recognition
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Whereas traditional methods optimize a summary's diversity or representativeness, ours explicitly accounts for how one sub-event "leads to" another-which, critically, captures event connectivity beyond ...
We present a video summarization approach that discovers the story of an egocentric video. Given a long input video, our method selects a short chain of video subshots depicting the essential events. ...
Acknowledgements We thank all the user study subjects, and Yong Jae Lee for helpful discussions. This research is supported in part by ONR YIP N00014-12-1-0754. ...
doi:10.1109/cvpr.2013.350
dblp:conf/cvpr/LuG13
fatcat:ng76pe3ob5dvrdjv6fvfaotjju
Visual Causality Analysis of Event Sequence Data
[article]
2020
arXiv
pre-print
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the causal relations among event types. ...
Unfortunately, recovering causalities from observational event sequences is challenging, as the heterogeneous and high-dimensional event variables are often connected to rather complex underlying event ...
In temporal data, the discovery of causal relationships is commonly based on the theory of Granger causality [19] , which is defined regarding the predictability and the temporal ordering of events. ...
arXiv:2009.00219v1
fatcat:xajh6evnjnbjrgmarwxblulope
An overview of event extraction and its applications
[article]
2021
arXiv
pre-print
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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. ...
Finally, we summarize the common issues, current solutions, and future research directions. ...
These events are used to build a Temporal and Causal Analysis Graph, which will help the government sort out the information and adjust the related policies timely. ...
arXiv:2111.03212v1
fatcat:o3oagnjrybh3vapvvp7twgjtuu
Construction of Event Knowledge Graph based on Semantic Analysis
2021
Tehnički Vjesnik
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Finally, the extracted events and relationships are matched to form a knowledge graph of corporate credit events. ...
for the knowledge graph of enterprise credit events; then, the events in enterprise credit events are extracted in the form of case study, the named entities and dependency relationships in the text statements ...
Because causal relationships may consist of several events, the extracted events need to match with relationships to form a knowledge graph based on public opinion, which is clarified in terms of connotation ...
doi:10.17559/tv-20210427063132
fatcat:hceeb6slzrglvijovoqmh65wja
Generating event storylines from microblogs
2012
Proceedings of the 21st ACM international conference on Information and knowledge management - CIKM '12
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is crucial for providing both better user experience and deeper understanding on realtime events. ...
Microblogging service has emerged to be a dominant web medium for billions of individuals sharing and spreading instant news and information, therefore monitoring the event evolution on microblog sphere ...
extracts the sentences based on the clustering result; 7. ...
doi:10.1145/2396761.2396787
dblp:conf/cikm/LinLLWCL12
fatcat:7w2rmpvdpbgevfe27um7i25yyu
Causality Mining in Natural Languages Using Machine and Deep Learning Techniques: A Survey
2021
Applied Sciences
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Causality (cause-effect relations) serves as an essential category of relationships, which plays a significant role in question answering, future events predication, discourse comprehension, decision making ...
We present a detailed taxonomy of CM and discuss popular ML and DL approaches with their comparative weaknesses and strengths, applications, popular datasets, and frameworks. ...
A causal graph is created after grouping and proper generalization of the extracted events and their relations. ...
doi:10.3390/app112110064
fatcat:btv66da5x5a73auogv5d3lp2bi
Learning, detection and representation of multi-agent events in videos
2007
Artificial Intelligence
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In this paper, we model multi-agent events in terms of a temporally varying sequence of sub-events, and propose a novel approach for learning, detecting and representing events in videos. ...
The principal assumption made in this work is that the events are composed of a highly correlated chain of sub-events that have high weights (association) within the cluster and relatively low weights ...
Acknowledgements This material is based upon work funded in part by the US Government. ...
doi:10.1016/j.artint.2007.04.002
fatcat:6aop2rocfnfmri57ivneyhy4yq
Increasing Maritime Situation Awareness via Trajectory Detection, Enrichment and Recognition of Events
[chapter]
2018
Lecture Notes in Computer Science
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Acknowledgments This work was supported by project datACRON, which has received funding from the European Union's Horizon 2020 research and innovation program under grant agreement No 687591. ...
The visualization of events has been designed as a web-based interface showing the ships' tracks, real and predicted events. Figure 4 shows this interface and few detected critical points. ...
relations between low-level events, operational constraints and contextual information, we need to detect, in a timely manner, when patterns' relations (involving temporal and spatial aspects) are satisfied ...
doi:10.1007/978-3-319-90053-7_13
fatcat:mwpj6jpozfdmxmtbde3t3qqknq
Automated Situation-Aware Service Composition in Service-Oriented Computing
2007
International Journal of Web Services Research
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The authors would like to thank Ramesh Bharadwaj and James Kirby, Jr. of the U.S. Naval Research Laboratory for many helpful discussions. ...
on the critical branch: continuously based on its configuration. ...
The extraction of ordering constraints from SAW requirements is based on the analysis of trigger relations. ...
doi:10.4018/jwsr.2007100103
fatcat:xdjafatqzzc43ahxhonjjxodsm
A Survey on various Video Summarization Techniques
2021
International Journal of Advanced Trends in Computer Science and Engineering
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A study of the different methods used for video summarization over the years i.e., extracting important segments from a video to produce short concise summaries that are representative of the original ...
by watching summarized videos. ...
Summarization is done based on the relevant features as per the user's needs. There are several techniques to extract summaries based on an object, event, color, and motion, etc.. ...
doi:10.30534/ijatcse/2021/1011022021
fatcat:m3prnrymjrbl7eurjk2kzdjisy
A survey of graphs in natural language processing
2015
Natural Language Engineering
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We provide an overview of how Natural Language Processing problems have been projected into the graph framework, focusing in particular on graph construction – a crucial step in modeling the data to emphasize ...
AbstractGraphs are a powerful representation formalism that can be applied to a variety of aspects related to language processing. ...
., the evaluation of temporal graphs that capture temporal relations between events in text. ...
doi:10.1017/s1351324915000340
fatcat:knbsaqnd6ngahmv4m4tub32o6y
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