Matches in SemOpenAlex for { <https://semopenalex.org/work/W4226201620> ?p ?o ?g. }
Showing items 1 to 72 of
72
with 100 items per page.
- W4226201620 abstract "Legal documents are unstructured, use legal jargon, and have considerable length, making it difficult to process automatically via conventional text processing techniques. A legal document processing system would benefit substantially if the documents could be semantically segmented into coherent units of information. This paper proposes a Rhetorical Roles (RR) system for segmenting a legal document into semantically coherent units: facts, arguments, statute, issue, precedent, ruling, and ratio. With the help of legal experts, we propose a set of 13 fine-grained rhetorical role labels and create a new corpus of legal documents annotated with the proposed RR. We develop a system for segmenting a document into rhetorical role units. In particular, we develop a multitask learning-based deep learning model with document rhetorical role label shift as an auxiliary task for segmenting a legal document. We experiment extensively with various deep learning models for predicting rhetorical roles in a document, and the proposed model shows superior performance over the existing models. Further, we apply RR for predicting the judgment of legal cases and show that the use of RR enhances the prediction compared to the transformer-based models." @default.
- W4226201620 created "2022-05-05" @default.
- W4226201620 creator A5022068488 @default.
- W4226201620 creator A5031756412 @default.
- W4226201620 creator A5032005532 @default.
- W4226201620 creator A5033086183 @default.
- W4226201620 creator A5053829230 @default.
- W4226201620 creator A5075419287 @default.
- W4226201620 creator A5076043215 @default.
- W4226201620 date "2021-12-03" @default.
- W4226201620 modified "2023-09-28" @default.
- W4226201620 title "Semantic Segmentation of Legal Documents via Rhetorical Roles" @default.
- W4226201620 hasPublicationYear "2021" @default.
- W4226201620 type Work @default.
- W4226201620 citedByCount "0" @default.
- W4226201620 crossrefType "posted-content" @default.
- W4226201620 hasAuthorship W4226201620A5022068488 @default.
- W4226201620 hasAuthorship W4226201620A5031756412 @default.
- W4226201620 hasAuthorship W4226201620A5032005532 @default.
- W4226201620 hasAuthorship W4226201620A5033086183 @default.
- W4226201620 hasAuthorship W4226201620A5053829230 @default.
- W4226201620 hasAuthorship W4226201620A5075419287 @default.
- W4226201620 hasAuthorship W4226201620A5076043215 @default.
- W4226201620 hasBestOaLocation W42262016201 @default.
- W4226201620 hasConcept C125308379 @default.
- W4226201620 hasConcept C138885662 @default.
- W4226201620 hasConcept C144133560 @default.
- W4226201620 hasConcept C154945302 @default.
- W4226201620 hasConcept C162853370 @default.
- W4226201620 hasConcept C17319257 @default.
- W4226201620 hasConcept C17744445 @default.
- W4226201620 hasConcept C192562157 @default.
- W4226201620 hasConcept C199539241 @default.
- W4226201620 hasConcept C204321447 @default.
- W4226201620 hasConcept C23123220 @default.
- W4226201620 hasConcept C2777611551 @default.
- W4226201620 hasConcept C2993995455 @default.
- W4226201620 hasConcept C41008148 @default.
- W4226201620 hasConcept C41895202 @default.
- W4226201620 hasConcept C89600930 @default.
- W4226201620 hasConceptScore W4226201620C125308379 @default.
- W4226201620 hasConceptScore W4226201620C138885662 @default.
- W4226201620 hasConceptScore W4226201620C144133560 @default.
- W4226201620 hasConceptScore W4226201620C154945302 @default.
- W4226201620 hasConceptScore W4226201620C162853370 @default.
- W4226201620 hasConceptScore W4226201620C17319257 @default.
- W4226201620 hasConceptScore W4226201620C17744445 @default.
- W4226201620 hasConceptScore W4226201620C192562157 @default.
- W4226201620 hasConceptScore W4226201620C199539241 @default.
- W4226201620 hasConceptScore W4226201620C204321447 @default.
- W4226201620 hasConceptScore W4226201620C23123220 @default.
- W4226201620 hasConceptScore W4226201620C2777611551 @default.
- W4226201620 hasConceptScore W4226201620C2993995455 @default.
- W4226201620 hasConceptScore W4226201620C41008148 @default.
- W4226201620 hasConceptScore W4226201620C41895202 @default.
- W4226201620 hasConceptScore W4226201620C89600930 @default.
- W4226201620 hasLocation W42262016201 @default.
- W4226201620 hasOpenAccess W4226201620 @default.
- W4226201620 hasPrimaryLocation W42262016201 @default.
- W4226201620 hasRelatedWork W117599 @default.
- W4226201620 hasRelatedWork W149980 @default.
- W4226201620 hasRelatedWork W18171836 @default.
- W4226201620 hasRelatedWork W3830045 @default.
- W4226201620 hasRelatedWork W4350982 @default.
- W4226201620 hasRelatedWork W505434 @default.
- W4226201620 hasRelatedWork W569578 @default.
- W4226201620 hasRelatedWork W5815481 @default.
- W4226201620 hasRelatedWork W706006 @default.
- W4226201620 hasRelatedWork W881173 @default.
- W4226201620 isParatext "false" @default.
- W4226201620 isRetracted "false" @default.
- W4226201620 workType "article" @default.