CITATION.cff

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cff-version: 1.2.0
title: Semantic Tagger
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Sony
    family-names: Jufri
    email: sony.jufri@sydney.edu.au
    affiliation: >-
      Sydney Informatics Hub, a core research facility of
      the University of Sydney
  - given-names: Chao
    family-names: Sun
    email: chao.sun@sydney.edu.au
    affiliation: >-
      Sydney Informatics Hub, a core research facility of
      the University of Sydney
repository-code: >-
  https://github.com/Australian-Text-Analytics-Platform/semantic-tagger
abstract: >-
  The Semantic Tagger is an automatic semantic analysis tool
  that you can use to tag your text so you can extract token
  level semantic tags from the tagged text. The tagger can
  support any semantic tagset, however the currently
  released tagset is for the UCREL Semantic Analysis System
  (USAS) semantic tags. In addition to the USAS tags, you
  will also see the lemmas and Part-of-Speech (POS) tags in
  the text. For English, the tagger also identifies and tags
  Multi Word Expressions (MWE), i.e., expressions formed by
  two or more words that behave like a unit such as 'South
  Australia'.
keywords:
  - semantic tag
  - semantic
  - semantic tagger
license: Apache-2.0
version: '1.0'
date-released: '2022-11-22'