Veronika Vincze
Biographic Data
| ID | 6536226 |
|---|---|
| NAME | Veronika Vincze |
| GIVEN NAMES | Veronika |
| FAMILY NAME | Vincze |
| SIGNATURE | VINCZE V |
| AFFILIATIONS | Hungarian Academy of Sciences |
| ORCID | 0000-0002-9844-2194 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2012 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 0 |
Linguistic Parameters of Spontaneous Speech for Identifying Mild Cognitive Impairment and Alzheimer Disease
In this article, we seek to automatically identify Hungarian patients suffering from mild cognitive impairment (MCI) or mild Alzheimer disease (mAD) based on their speech transcripts, focusing only on linguistic features. In addition to the features examined in our earlier study, we introduce syntactic, semantic, and pragmatic features of spontaneous speech that might affect the detection of dementia. In order to ascertain the most useful feature…
Cross-Genre and Cross-Domain Detection of Semantic Uncertainty
Uncertainty is an important linguistic phenomenon that is relevant in various Natural Language Processing applications, in diverse genres from medical to community generated, newswire or scientific discourse, and domains from science to humanities. The semantic uncertainty of a proposition can be identified in most cases by using a finite dictionary (i.e., lexical cues) and the key steps of uncertainty detection in an application include the step…
No prominent works on this page.
Cross-Genre and Cross-Domain Detection of Semantic Uncertainty
Uncertainty is an important linguistic phenomenon that is relevant in various Natural Language Processing applications, in diverse genres from medical to community generated, newswire or scientific discourse, and domains from science to humanities. The semantic uncertainty of a proposition can be identified in most cases by using a finite dictionary (i.e., lexical cues) and the key steps of uncertainty detection in an application include the step…
Linguistic Parameters of Spontaneous Speech for Identifying Mild Cognitive Impairment and Alzheimer Disease
In this article, we seek to automatically identify Hungarian patients suffering from mild cognitive impairment (MCI) or mild Alzheimer disease (mAD) based on their speech transcripts, focusing only on linguistic features. In addition to the features examined in our earlier study, we introduce syntactic, semantic, and pragmatic features of spontaneous speech that might affect the detection of dementia. In order to ascertain the most useful feature…
Artificial Intelligence (2 works) · Computer Science (2 works) · Natural language processing (2 works) · Natural Language Processing Techniques (2 works) · Topic Modeling (2 works) · Affect (linguistics (1 works) · Annotation (1 works) · Authorship Attribution and Profiling (1 works) · Biomedical Text Mining and Ontologies (1 works) · Categorization (1 works)