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of 179
pro vyhledávání: '"Boughanem, Mohand"'
Legal judgment prediction suffers from the problem of long case documents exceeding tens of thousands of words, in general, and having a non-uniform structure. Predicting judgments from such documents becomes a challenging task, more so on documents
Externí odkaz:
http://arxiv.org/abs/2403.06872
Predicting the judgment of a legal case from its unannotated case facts is a challenging task. The lengthy and non-uniform document structure poses an even greater challenge in extracting information for decision prediction. In this work, we explore
Externí odkaz:
http://arxiv.org/abs/2311.08103
Automatic legal judgment prediction and its explanation suffer from the problem of long case documents exceeding tens of thousands of words, in general, and having a non-uniform structure. Predicting judgments from such documents and extracting their
Externí odkaz:
http://arxiv.org/abs/2309.10563
In the last decade, RDF emerged as a new kind of standardized data model, and a sizable body of knowledge from fields such as Information Retrieval was adapted to RDF graphs. One common task in graph databases is to define an importance score for nod
Externí odkaz:
http://arxiv.org/abs/1809.01622
Autor:
Belbachir, Faiza, Boughanem, Mohand
Publikováno v:
In Information Processing and Management November 2018 54(6):958-968
Publikováno v:
In Information Processing and Management January 2017 53(1):87-105
Autor:
Hammache, Arezki1 arezki20002002@yahoo.fr, Boughanem, Mohand2
Publikováno v:
Journal of the Association for Information Science & Technology. May2021, Vol. 72 Issue 5, p627-642. 16p. 1 Diagram, 6 Charts, 5 Graphs.
Akademický článek
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Publikováno v:
In Information Processing and Management November 2013 49(6):1281-1300
Autor:
Tahraoui, Mohammed Amin, Pinel-Sauvagnat, Karen, Laitang, Cyril, Boughanem, Mohand, Kheddouci, Hamamache, Ning, Lei
Publikováno v:
In Computer Science Review May 2013 8:1-23