Intent Annotation
Intent Annotation is a scholarly contribution within the domain of Knowledge Annotation that specifically identifies, classifies, or formalizes the underlying purpose or goal of an information-seeking action, thereby enabling systems to interpret and respond to user queries according to their intended objectives.
21
Publications
520
Citations
95
Authors
36
Institutions
Publications per year
2017–2026
14
Parents
21
Identifying Intention Posts in Discussion Forums
Zhiyuan Chen, Bing Liu, Meichun Hsu et al. · 2013 · 69 citations
Few-shot Intent Classification and Slot Filling with Retrieved Examples
Dian Yu, Luheng He, Yuan Zhang et al. · 2021 · 49 citations · Full text
Intentonomy: a Dataset and Study towards Human Intent Understanding
Menglin Jia, Zuxuan Wu, Austin Reiter et al. · 2021 · 35 citations
1–5 of 21
95
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2
h-index
2
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2
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2
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1–5 of 95
36
University of California, Davis
Davis, United States
3 h-index
11 publications
379 citations

Cornell University
Ithaca, United States
2 h-index
9 publications
399 citations
Hewlett-Packard (United States)
Palo Alto, United States
2 h-index
10 publications
277 citations
Adobe Systems (United States)
San Jose, United States
1 h-index
1 publications
33 citations
Google (United States)
Mountain View, United States
1 h-index
6 publications
294 citations
Universidade Federal de Minas Gerais
Belo Horizonte, Brazil
1 h-index
3 publications
51 citations
The Ohio State University
Columbus, United States
1 h-index
3 publications
99 citations
Carnegie Mellon University
Pittsburgh, United States
1 h-index
1 publications
11 citations
1–8 of 36
Conference · 2 publications · 29 citations
2
h-index
1 publications · 39 citations
1
h-index
1 publications · 31 citations
1
h-index
1 publications · 10 citations
1
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Repository · 1 publications · 13 citations
1
h-index
1–5