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Identifying Semantic Events in Unstructured Text

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Mining Intelligence and Knowledge Exploration (MIKE 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9468))

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Abstract

Semantics has always been considered the hidden treasure of texts, accessible only to humans. Artificial intelligence struggles to enrich machines with human features, therefore accessing this treasure and sharing it with computers is one of the main challenges that the natural language domain faces nowadays. This paper represents a further step in this direction, by proposing an automatic approach to extract information about events from unstructured texts by using semantic role labeling.

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Notes

  1. 1.

    The training data consists of manually annotated data from Penn Treebank.

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Author information

Authors and Affiliations

  1. Faculty of Computer Science, University “Al. I. Cuza” of Iasi, Iași, Romania

    Diana Trandabăț

Authors
  1. Diana Trandabăț
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Correspondence to Diana Trandabăț .

Editor information

Editors and Affiliations

  1. Norwegian Univ. of Science & Technology, Trondheim, Norway

    Rajendra Prasath

  2. Intl Inst of Info Tech Hyderabad, Hyderabad, India

    Anil Kumar Vuppala

  3. V.H.N.S.N.College (Autonomous), Virudhunagar, Tamil Nadu, India

    T. Kathirvalavakumar

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Trandabăț, D. (2015). Identifying Semantic Events in Unstructured Text. In: Prasath, R., Vuppala, A., Kathirvalavakumar, T. (eds) Mining Intelligence and Knowledge Exploration. MIKE 2015. Lecture Notes in Computer Science(), vol 9468. Springer, Cham. https://doi.org/10.1007/978-3-319-26832-3_54

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  • DOI: https://doi.org/10.1007/978-3-319-26832-3_54

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26831-6

  • Online ISBN: 978-3-319-26832-3

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