Abstract - The paper deals in some detail with the application of examplebased machine learning techniques to the task of automatically acquiring semantic information from functionally annotated texts. Special emphasis is placed on the use of analogical proportions as a means of structuring the knowledge embodied in attested examples, and weighing up their contribution to a variety of lexico-semantic classification tasks. Careful quantitative analysis of automatically acquired information proves to shed considerable light on the semantic inter-connectivity of input data, their structure and organising principles.
Example-based automatic induction of semantic classes through entropic scores
Montemagni S;Pirrelli V
2003
Abstract
Abstract - The paper deals in some detail with the application of examplebased machine learning techniques to the task of automatically acquiring semantic information from functionally annotated texts. Special emphasis is placed on the use of analogical proportions as a means of structuring the knowledge embodied in attested examples, and weighing up their contribution to a variety of lexico-semantic classification tasks. Careful quantitative analysis of automatically acquired information proves to shed considerable light on the semantic inter-connectivity of input data, their structure and organising principles.| Campo DC | Valore | Lingua |
|---|---|---|
| dc.authority.orgunit | Istituto di linguistica computazionale "Antonio Zampolli" - ILC | - |
| dc.authority.people | Allegrini P | it |
| dc.authority.people | Montemagni S | it |
| dc.authority.people | Pirrelli V | it |
| dc.collection.id.s | b3f88f24-048a-4e43-8ab1-6697b90e068e | * |
| dc.collection.name | 01.01 Articolo in rivista | * |
| dc.contributor.appartenenza | Istituto di linguistica computazionale "Antonio Zampolli" - ILC | * |
| dc.contributor.appartenenza.mi | 918 | * |
| dc.date.accessioned | 2024/02/19 00:45:16 | - |
| dc.date.available | 2024/02/19 00:45:16 | - |
| dc.date.issued | 2003 | - |
| dc.description.abstract | Abstract - The paper deals in some detail with the application of examplebased machine learning techniques to the task of automatically acquiring semantic information from functionally annotated texts. Special emphasis is placed on the use of analogical proportions as a means of structuring the knowledge embodied in attested examples, and weighing up their contribution to a variety of lexico-semantic classification tasks. Careful quantitative analysis of automatically acquired information proves to shed considerable light on the semantic inter-connectivity of input data, their structure and organising principles. | - |
| dc.description.allpeople | Allegrini, P; Montemagni, S; Pirrelli, V | - |
| dc.description.allpeopleoriginal | Allegrini P., Montemagni S., Pirrelli V. | - |
| dc.description.fulltext | none | en |
| dc.description.numberofauthors | 3 | - |
| dc.identifier.uri | https://hdl.handle.net/20.500.14243/37654 | - |
| dc.relation.firstpage | 1 | - |
| dc.relation.lastpage | 45 | - |
| dc.relation.volume | 16-17 | - |
| dc.title | Example-based automatic induction of semantic classes through entropic scores | en |
| dc.type.driver | info:eu-repo/semantics/article | - |
| dc.type.full | 01 Contributo su Rivista::01.01 Articolo in rivista | it |
| dc.type.miur | 262 | - |
| dc.type.referee | Sì, ma tipo non specificato | - |
| dc.ugov.descaux1 | 64466 | - |
| iris.orcid.lastModifiedDate | 2024/04/04 16:01:22 | * |
| iris.orcid.lastModifiedMillisecond | 1712239282026 | * |
| iris.sitodocente.maxattempts | 1 | - |
| Appare nelle tipologie: | 01.01 Articolo in rivista | |
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