Semantic Novelty Detection in Natural Language Descriptions Article Swipe
Nianzu Ma
,
Alexander Politowicz
,
Sahisnu Mazumder
,
Jiahua Chen
,
Bing Liu
,
Eric Robertson
,
Scott S. Grigsby
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.18653/v1/2021.emnlp-main.66
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.18653/v1/2021.emnlp-main.66
This paper proposes to study a fine-grained semantic novelty detection task, which can be illustrated with the following example. It is normal that a person walks a dog in the park, but if someone says "A man is walking a chicken in the park", it is novel. Given a set of natural language descriptions of normal scenes, we want to identify descriptions of novel scenes. We are not aware of any existing work that solves the problem. Although existing novelty or anomaly detection algorithms are applicable, since they are usually topic-based, they perform poorly on our fine-grained semantic novelty detection task. This paper proposes an effective model (called GAT-MA) to solve the problem and also contributes a new dataset. Experimental evaluation shows that GAT-MA outperforms 11 baselines by large margins.
Related Topics
Concepts
Novelty
Novelty detection
Computer science
Task (project management)
Artificial intelligence
Set (abstract data type)
Anomaly detection
Natural language processing
Natural language
Natural language understanding
Semantics (computer science)
Natural (archaeology)
Machine learning
History
Theology
Programming language
Economics
Philosophy
Archaeology
Management
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.18653/v1/2021.emnlp-main.66
- https://aclanthology.org/2021.emnlp-main.66.pdf
- OA Status
- hybrid
- Cited By
- 9
- References
- 115
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3214699082
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3214699082Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.18653/v1/2021.emnlp-main.66Digital Object Identifier
- Title
-
Semantic Novelty Detection in Natural Language DescriptionsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-01-01Full publication date if available
- Authors
-
Nianzu Ma, Alexander Politowicz, Sahisnu Mazumder, Jiahua Chen, Bing Liu, Eric Robertson, Scott S. GrigsbyList of authors in order
- Landing page
-
https://doi.org/10.18653/v1/2021.emnlp-main.66Publisher landing page
- PDF URL
-
https://aclanthology.org/2021.emnlp-main.66.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
-
https://aclanthology.org/2021.emnlp-main.66.pdfDirect OA link when available
- Concepts
-
Novelty, Novelty detection, Computer science, Task (project management), Artificial intelligence, Set (abstract data type), Anomaly detection, Natural language processing, Natural language, Natural language understanding, Semantics (computer science), Natural (archaeology), Machine learning, History, Theology, Programming language, Economics, Philosophy, Archaeology, ManagementTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
9Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2024: 3, 2023: 4, 2022: 1Per-year citation counts (last 5 years)
- References (count)
-
115Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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