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A taxonomy, data set, and benchmark for detecting and classifying malevolent dialogue responses

A taxonomy, data set, and benchmark for detecting and classifying malevolent dialogue responses

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_1002_asi_24496

A taxonomy, data set, and benchmark for detecting and classifying malevolent dialogue responses

About this item

Full title

A taxonomy, data set, and benchmark for detecting and classifying malevolent dialogue responses

Publisher

Hoboken, USA: John Wiley & Sons, Inc

Journal title

Journal of the American Society for Information Science and Technology, 2021-12, Vol.72 (12), p.1477-1497

Language

English

Formats

Publication information

Publisher

Hoboken, USA: John Wiley & Sons, Inc

More information

Scope and Contents

Contents

Conversational interfaces are increasingly popular as a way of connecting people to information. With the increased generative capacity of corpus‐based conversational agents comes the need to classify and filter out malevolent responses that are inappropriate in terms of content and dialogue acts. Previous studies on the topic of detecting and clas...

Alternative Titles

Full title

A taxonomy, data set, and benchmark for detecting and classifying malevolent dialogue responses

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_crossref_primary_10_1002_asi_24496

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_1002_asi_24496

Other Identifiers

ISSN

2330-1635

E-ISSN

2330-1643

DOI

10.1002/asi.24496

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