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2016 | OriginalPaper | Chapter

Towards Monitoring of Novel Statements in the News

Authors : Michael Färber, Achim Rettinger, Andreas Harth

Published in: The Semantic Web. Latest Advances and New Domains

Publisher: Springer International Publishing

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Abstract

In media monitoring users have a clearly defined information need to find so far unknown statements regarding certain entities or relations mentioned in natural-language text. However, commonly used keyword-based search technologies are focused on finding relevant documents and cannot judge the novelty of statements contained in the text. In this work, we propose a new semantic novelty measure that allows to retrieve statements, which are both novel and relevant, from natural-language sentences in news articles. Relevance is defined by a semantic query of the user, while novelty is ensured by checking whether the extracted statements are related, but non-existing in a knowledge base containing the currently known facts. Our evaluation performed on English news texts and on CrunchBase as the knowledge base demonstrates the effectiveness, unique capabilities and future challenges of this novel approach to novelty.

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previous chapter Bridging the Gap Between Formal Languages and Natural Languages with Zippers

next chapter AskNow: A Framework for Natural Language Query Formalization in SPARQL

We use the words “statements”, “facts”, and “triples” interchangeably in this paper.

We do not consider triples where the object is a literal.

See http://dbpedia.org, requested on Mar 7, 2016. DBpedia is widely used for entity linking in general domain settings. However, also other KBs can be used as far as a suitable entity linking component is available.

We avoid the DBpedia namespaces for better readability.

For our example sentence (see Fig. 3), this would be “sixth generation iPhone”, “Apple”, and “touchscreen display”.

The data sets and evaluation results are available at http://people.aifb.kit.edu/mfa/novel-triple-extraction/.

See http://crunchbase.com, requested on Mar 7, 2016.

See http://dbpedia.org, requested on Mar 7, 2016.

See http://newsfeed.ijs.si, requested on Mar 7, 2016.

Goal 1 and 3 are not considered here since facts with the chosen KB properties do not occur often.

This analysis was performed by evaluating all sentences containing two labels of the entities of acquisitions which were missed and containing the phrase “acquire”/“acquisition”/“buy”/“purchase” etc.

For instance, for the topic “Diana Car Accident”, the task was to find novel information about where the accident happened, who was killed, the extent of injuries, how it happened, and who else was involved.

See http://trec-kba.org, requested on Mar 7, 2016.

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Title: Towards Monitoring of Novel Statements in the News
Authors: Michael Färber
Achim Rettinger
Andreas Harth
Publisher: Springer International Publishing
Book: The Semantic Web. Latest Advances and New Domains
Print ISBN: 978-3-319-34128-6

Electronic ISBN: 978-3-319-34129-3

Copyright Year: 2016
DOI: https://doi.org/10.1007/978-3-319-34129-3_18

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