Ivan Nenchev
Biographic Data
| ID | 7965506 |
|---|---|
| NAME | Ivan Nenchev |
| GIVEN NAMES | Ivan |
| FAMILY NAME | Nenchev |
| SIGNATURE | NENCHEV I |
| AFFILIATIONS | Freie Universität Berlin |
| ORCID | 0000-0002-9860-3250 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Validation of natural language processing methods capturing semantic incoherence in the speech of patients with non-affective psychosis
These results indicate that natural language processing methods need to be critically validated in more studies and carefully selected before clinical application
The processing of emoji-word substitutions
In computer-mediated communication, emojis can be used for various purposes. As small graphical images, many emojis depict abstract or concrete objects ideogrammatically. We report on a self-paced reading experiment of sentences containing emojis. We tested to what extent emojis encode lexical meanings when used in a sentence context. First, we confirm earlier findings that sentence comprehension does not suffer when emojis replace words. Second,…
Modeling Incoherent Discourse in Non-Affective Psychosis
Automated coherence analysis may capture different features of incoherent speech than clinical ratings of formal thought disorder. Models of incoherence in non-affective psychosis should include automatically derived coherence metrics as well as lexical and syntactic features that influence the comprehensibility of speech
No prominent works on this page.
Modeling Incoherent Discourse in Non-Affective Psychosis
Automated coherence analysis may capture different features of incoherent speech than clinical ratings of formal thought disorder. Models of incoherence in non-affective psychosis should include automatically derived coherence metrics as well as lexical and syntactic features that influence the comprehensibility of speech
The processing of emoji-word substitutions
In computer-mediated communication, emojis can be used for various purposes. As small graphical images, many emojis depict abstract or concrete objects ideogrammatically. We report on a self-paced reading experiment of sentences containing emojis. We tested to what extent emojis encode lexical meanings when used in a sentence context. First, we confirm earlier findings that sentence comprehension does not suffer when emojis replace words. Second,…
Validation of natural language processing methods capturing semantic incoherence in the speech of patients with non-affective psychosis
These results indicate that natural language processing methods need to be critically validated in more studies and carefully selected before clinical application
Artificial Intelligence (2 works) · Coherence (philosophical gambling strategy (2 works) · Computer Science (2 works) · Natural language processing (2 works) · Neurobiology of Language and Bilingualism (2 works) · Psychiatry (2 works) · Psychology (2 works) · Schizophrenia (object-oriented programming (2 works) · Statistics (2 works) · Stuttering Research and Treatment (2 works)