Event extraction and classification by neural network model

Bamfa Ceesay, Wen-Juan Hou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

To understand and automatically extract information about events presented in a text, semantically meaningful units expressing these events are important. Extracting events and classifying them into event types and subtypes using Natural Language Processing techniques poses a challenging research problem. There is no clear-cut definitions to what an event from a text is and what the optimal representation of semantic units within a given text is. In addition, events in a text can be classified into types and subtypes of events; and a single event can have multiple mentions in a given sentence. In this paper, we propose a model to determine events within a given text and classify them into event types or subtypes and REALIS by the distributional semantic role labeling and neural embedding techniques. For the task of the event nugget detection, we trained a three-layer network to determine the event mentions from texts achieving F1-score of 77.37 % for macro average and 71.10 % for micro average, respectively.

Original languageEnglish
Title of host publicationTrends in Applied Knowledge-Based Systems and Data Science - 29th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2016, Proceedings
EditorsMoonis Ali, Hamido Fujita, Jun Sasaki, Masaki Kurematsu, Ali Selamat
PublisherSpringer Verlag
Pages229-241
Number of pages13
ISBN (Print)9783319420066
DOIs
Publication statusPublished - 2016 Jan 1
Event29th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2016 - Morioka, Japan
Duration: 2016 Aug 22016 Aug 4

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9799
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other29th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2016
CountryJapan
CityMorioka
Period16/8/216/8/4

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Keywords

  • Event classification
  • Event extraction
  • Event nuggets
  • Neural embedding
  • Semantic role labeling

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Ceesay, B., & Hou, W-J. (2016). Event extraction and classification by neural network model. In M. Ali, H. Fujita, J. Sasaki, M. Kurematsu, & A. Selamat (Eds.), Trends in Applied Knowledge-Based Systems and Data Science - 29th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2016, Proceedings (pp. 229-241). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9799). Springer Verlag. https://doi.org/10.1007/978-3-319-42007-3_20