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Visualising and Evaluating the Effects of Combining Active Learning with Word Embedding Features
The Institute for Language and Folklore, Sweden.ORCID iD: 0000-0001-6164-7762
Hokkaido University, Japan.
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM). (ISOVIS, DISA)ORCID iD: 0000-0002-0519-2537
Hokkaido University, Japan.
2019 (English)Conference paper, Published paper (Refereed)
Abstract [en]

A tool that enables the use of active learning, as well as the incorporation of word embeddings, was evaluated for its ability to decrease the training data set size required for a named entity recognition model. Uncertainty-based active learning and the use of word embeddings led to very large performance improvements on small data sets for the entity categories PERSON and LOCATION. In contrast, the embedding features used were shown to be unsuitable for detecting entities belonging to the ORGANISATION category. The tool was also extended with functionality for visualising the usefulness of the active learning process and of the word embeddings used. The visualisations provided were able to indicate the performance differences between the entities, as well as differences with regards to usefulness of the embedding features.

Place, publisher, year, edition, pages
German Society for Computational Linguistics and Language Technology (GSCL) , 2019.
Keywords [en]
Visualization, active learning, word embedding
National Category
Language Technology (Computational Linguistics) Human Computer Interaction
Research subject
Computer Science, Information and software visualization
Identifiers
URN: urn:nbn:se:lnu:diva-89000OAI: oai:DiVA.org:lnu-89000DiVA, id: diva2:1349219
Conference
15th Conference on Natural Language Processing (KONVENS '19), October 9-11, 2019, Erlangen-Nürnberg, Germany
Projects
Navigating in streams of opinions
Funder
Swedish Research Council, 2016-06681Swedish Research Council, 2017-00626
Note

TO BE PUBLISHED!

Available from: 2019-09-06 Created: 2019-09-06 Last updated: 2019-09-18

Open Access in DiVA

No full text in DiVA

Authority records BETA

Kerren, Andreas

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf