Publication detail

Advanced User Interfaces for Semantic Annotation of Complex Relations in Text

DYTRYCH, J. SMRŽ, P.

Original Title

Advanced User Interfaces for Semantic Annotation of Complex Relations in Text

Type

conference paper

Language

English

Original Abstract

This paper deals with computer-assisted semantic annotation of text. It particularly focuses on the annotation of complex relations and linking of entities with highly ambiguous names. These tasks cannot be reliably accomplished by fully automatic methods today. Our research explores user interface features that can help the manual annotation process. We extend our original experiments published in the Interaction Patterns in Computer-assisted Semantic Annotation of Text - An Empirical Evaluation by a detailed analysis of advantages brought by the semantic filtering feature of our 4A annotation system. We also expand our user study on the annotation of highly ambiguous entities showing speed-ups brought by a presentation mode for entity candidates employing advanced disambiguation contexts.

Keywords

computer-assisted tagging, text annotation, ambiguous entity names

Authors

DYTRYCH, J.; SMRŽ, P.

Released

3. 2. 2018

Publisher

Springer International Publishing

Location

Cham

ISBN

978-3-319-93581-2

Book

Agents and Artificial Intelligence

Edition

Lecture Notes in Computer Science

ISBN

0302-9743

Periodical

Lecture Notes in Computer Science

Year of study

10839

Number

2018

State

Federal Republic of Germany

Pages from

205

Pages to

221

Pages count

17

URL

BibTex

@inproceedings{BUT154987,
  author="Jaroslav {Dytrych} and Pavel {Smrž}",
  title="Advanced User Interfaces for Semantic Annotation of Complex Relations in Text",
  booktitle="Agents and Artificial Intelligence",
  year="2018",
  series="Lecture Notes in Computer Science",
  journal="Lecture Notes in Computer Science",
  volume="10839",
  number="2018",
  pages="205--221",
  publisher="Springer International Publishing",
  address="Cham",
  doi="10.1007/978-3-319-93581-2\{_}11",
  isbn="978-3-319-93581-2",
  issn="0302-9743",
  url="https://www.springer.com/us/book/9783319935805"
}