ALDA: Cognitive Assistant for Legal Document Analytics
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Summary
ALDA, a legal cognitive assistant to analyze digital legal documents is discussed and some of the preliminary results obtained by analyzing legal documents using techniques such as semantic web, text mining and graph analysis are presented.
- Type
- article
- Published
- 2016-09-18
- Cited by
- 19
- References
- 8
- Access
- Open access
- OpenAlex
- https://openalex.org/W2519512245
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:27489904
Keywords
Computer science, Legislation, Digitization, Workflow, Legal document
References
- Modeling conversation policies using permissions and obligations
- Automating Cloud Services Life Cycle through Semantic Technologies
- Analyzing goal semantics for rights, permissions, and obligations
- Unsupervised named-entity extraction from the Web: An experimental study
- Parallelizing natural language techniques for knowledge extraction from cloud service level agreements
- Automatic Extraction of Metrics from SLAs for Cloud Service Management
- Streamlining Management of Multiple Cloud Services
- TRIPLET EXTRACTION FROM SENTENCES
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- Innovative Big Data Analytics: A System for Document Management
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- A Semantic Approach for Automating Knowledge in Policies of Cyber Insurance Services
- Creating Cybersecurity Knowledge Graphs From Malware After Action Reports
- Security and Privacy in Smart Farming: Challenges and Opportunities
- A Neural-Network-Based Model of Charge Prediction via the Judicial Interpretation of Crimes
- A Smart-Farming Ontology for Attribute Based Access Control
- Ontologies and Artificial Intelligence Systems for the Cooperative Smart Farming Ecosystem
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- Generating Fake Cyber Threat Intelligence Using Transformer-Based Models
- Semantically Rich Framework to Automate Cyber Insurance Services
- Collective privacy recovery: Data-sharing coordination via decentralized artificial intelligence
- Similar Cases Recommendation using Legal Knowledge Graphs
- Relevant Subsection Retrieval for Law Domain Question Answer System
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