Kairit Sirts
Biographic Data
| ID | 6536672 |
|---|---|
| NAME | Kairit Sirts |
| GIVEN NAMES | Kairit |
| FAMILY NAME | Sirts |
| SIGNATURE | SIRTS K |
| AFFILIATIONS | Tallinn University of Technology |
| ORCID | 0000-0001-7388-2583 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Towards an Estonian dataset on document-level subjectivity
This article discusses a preparatory step towards developing an Estonian dataset on subjectivity, providing a brief overview of past analyses of subjectivity and the theoretical basis for creating the dataset. Subjectivity has been explored within many fields of linguistics, including pragmatics and formal semantics, as well as natural language processing where computational methods are used to create models for detecting subjectivity, often fo…
Dimensionaalne tekstimudel. Teoreetiline ülevaade
Interneti võidukäiguga on kasvanud elektrooniliste tekstide hulk, mis ühest küljest on muutnud info kättesaadavamaks, kuid teisalt on tekitanud nõudluse tarkvaralahenduste järele, mis oleksid suutelised automaatselt eraldama tekstikogudes peituvat vajalikku infot. Lihtsaim info eraldamise viis on tekstide klassifitseerimine, mis aga lihtsusest hoolimata kätkeb mitmesuguseid probleeme. Varem loodud tekstikorpustesse valiti tekstid esindamaks eel…
A Comparative Study of Minimally Supervised Morphological Segmentation
This article presents a comparative study of a subfield of morphology learning referred to as minimally supervised morphological segmentation. In morphological segmentation, word forms are segmented into morphs, the surface forms of morphemes. In the minimally supervised data-driven learning setting, segmentation models are learned from a small number of manually annotated word forms and a large set of unannotated word forms. In addition to provi…
A Comparative Study of Minimally Supervised Morphological Segmentation
This article presents a comparative study of a subfield of morphology learning referred to as minimally supervised morphological segmentation. In morphological segmentation, word forms are segmented into morphs, the surface forms of morphemes. In the minimally supervised data-driven learning setting, segmentation models are learned from a small number of manually annotated word forms and a large set of unannotated word forms. In addition to provi…
A Comparative Study of Minimally Supervised Morphological Segmentation
This article presents a comparative study of a subfield of morphology learning referred to as minimally supervised morphological segmentation. In morphological segmentation, word forms are segmented into morphs, the surface forms of morphemes. In the minimally supervised data-driven learning setting, segmentation models are learned from a small number of manually annotated word forms and a large set of unannotated word forms. In addition to provi…
Dimensionaalne tekstimudel. Teoreetiline ülevaade
Interneti võidukäiguga on kasvanud elektrooniliste tekstide hulk, mis ühest küljest on muutnud info kättesaadavamaks, kuid teisalt on tekitanud nõudluse tarkvaralahenduste järele, mis oleksid suutelised automaatselt eraldama tekstikogudes peituvat vajalikku infot. Lihtsaim info eraldamise viis on tekstide klassifitseerimine, mis aga lihtsusest hoolimata kätkeb mitmesuguseid probleeme. Varem loodud tekstikorpustesse valiti tekstid esindamaks eel…
Towards an Estonian dataset on document-level subjectivity
This article discusses a preparatory step towards developing an Estonian dataset on subjectivity, providing a brief overview of past analyses of subjectivity and the theoretical basis for creating the dataset. Subjectivity has been explored within many fields of linguistics, including pragmatics and formal semantics, as well as natural language processing where computational methods are used to create models for detecting subjectivity, often fo…
Artificial Intelligence (2 works) · Computer Science (2 works) · Linguistics (2 works) · Natural language processing (2 works) · Boundary (topology (1 work) · Digital and Cyber Forensics (1 work) · Discriminative model (1 work) · Epistemology (1 work) · Estonian (1 work) · Generative grammar (1 work)