Legal sentence boundary detection using hybrid deep learning and statistical models.
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| Title: | Legal sentence boundary detection using hybrid deep learning and statistical models. |
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| Authors: | Sheik, Reshma1, rezmasheik@gmail.com, Ganta, Sneha Rao1, sneharao2303@gmail.com, Nirmala, S. Jaya1, sjaya@nitt.edu |
| Source: | Artificial Intelligence & Law; Jun2025, Vol. 33 Issue 2, p519-549, 31p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 185686892 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Legal sentence boundary detection using hybrid deep learning and statistical models. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Sheik%2C+Reshma%22">Sheik, Reshma</searchLink><relatesTo>1</relatesTo>, <i>rezmasheik@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Ganta%2C+Sneha+Rao%22">Ganta, Sneha Rao</searchLink><relatesTo>1</relatesTo>, <i>sneharao2303@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Nirmala%2C+S%2E+Jaya%22">Nirmala, S. Jaya</searchLink><relatesTo>1</relatesTo>, <i>sjaya@nitt.edu</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Artificial+Intelligence+%26+Law%22">Artificial Intelligence & Law</searchLink>; Jun2025, Vol. 33 Issue 2, p519-549, 31p |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10506-024-09394-x Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 31 StartPage: 519 Titles: – TitleFull: Legal sentence boundary detection using hybrid deep learning and statistical models. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Sheik, Reshma – PersonEntity: Name: NameFull: Ganta, Sneha Rao – PersonEntity: Name: NameFull: Nirmala, S. Jaya IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 09248463 Numbering: – Type: volume Value: 33 – Type: issue Value: 2 Titles: – TitleFull: Artificial Intelligence & Law Type: main |
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