Richárd Farkas
Biographic Data
| ID | 5683593 |
|---|---|
| NAME | Richárd Farkas |
| GIVEN NAMES | Richárd |
| FAMILY NAME | Farkas |
| SIGNATURE | FARKAS R |
| AFFILIATIONS | University of Stuttgart |
| ORCID | 0000-0002-0053-8092 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1979 |
| LATEST PUBLICATION YEAR | 2012 |
| H-INDEX | 0 |
Knowledge Sources for Constituent Parsing of German, a Morphologically Rich and Less-Configurational Language
We study constituent parsing of German, a morphologically rich and less-configurational language. We use a probabilistic context-free grammar treebank grammar that has been adapted to the morphologically rich properties of German by markovization and special features added to its productions. We evaluate the impact of adding lexical knowledge. Then we examine both monolingual and bilingual approaches to parse reranking. Our reranking parser is th…
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…
Development and Social Change in Yugoslavia
No prominent works on this page.
Development and Social Change in Yugoslavia
Knowledge Sources for Constituent Parsing of German, a Morphologically Rich and Less-Configurational Language
We study constituent parsing of German, a morphologically rich and less-configurational language. We use a probabilistic context-free grammar treebank grammar that has been adapted to the morphologically rich properties of German by markovization and special features added to its productions. We evaluate the impact of adding lexical knowledge. Then we examine both monolingual and bilingual approaches to parse reranking. Our reranking parser is th…
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…
Artificial Intelligence (2 works) · Computer Science (2 works) · Context (archaeology (2 works) · History (2 works) · History (2 works) · Natural language processing (2 works) · Natural Language Processing Techniques (2 works) · Topic Modeling (2 works) · Annotation (1 work) · Balkans: History, Politics, Society (1 work)