About: News Timeline Generation: Accounting for Structural Aspects and Temporal Nature of News Stream

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	News Timeline Generation: Accounting for Structural Aspects and Temporal Nature of News Stream
Creator	Dobrov, Boris Tikhomirov, Mikhail
Source	PMC
abstract	The number of news articles that are published daily is larger than any person can afford to study. Correct summarization of the information allows for an easy search for the event of interest. This research was designed to address the issue of constructing annotations of news story. Standard multi-document summarization approaches are not able to extract all information relevant to the event. This is due to the fact that such approaches do not take into account the variability of the event context in time. We have implemented a system that automatically builds timeline summary. We investigated impact of three factors: query extension, accounting for temporal nature and structure of news article in form of inverted pyramid. The annotations that we generate are composed of sentences sorted in chronological order, which together contain the main details of the news story. The paper shows that taking into account the described factors positively affects the quality of the annotations created.
has issue date	2018-06-22(xsd:dateTime)
bibo:doi	10.1007/978-3-319-96553-6_19
has license	no-cc
sha1sum (hex)	2615a358ae189a9a390c553b3f1f8e8e03401405
schema:url	https://doi.org/10.1007/978-3-319-96553-6_19
resource representing a document's title	News Timeline Generation: Accounting for Structural Aspects and Temporal Nature of News Stream
has PubMed Central identifier	PMC7120637
schema:publication	Data Analytics and Management in Data Intensive Domains
resource representing a document's body	covid:2615a358ae189a9a390c553b3f1f8e8e03401405#body_text
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