OpenAlex
metadata only
ALEXChat: a Generative - Symbolic Approach to Legal eXplainability
This paper introduces ALEXChat, a hybrid generative-symbolic chatbot designed to enhance the accessibility and explainability of legal expert systems. It integrates symbolic reasoning with large language models (LLMs) to bridge the gap between complex legal reasoning and user comprehension. ALEXChat
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- LawCompass: Navigating from Legal QA to Multi-Agent Deep Research with Grounded Evidence#1155962
- Automated Extraction of Semantic Legal Metadata using Natural Language Processing#335562
- Granularity-aware legal question answering: a case study of Indonesian government regulations#1178585
- Embedding Representations Oriented to Brazilian Legal Language#1178590
- Named Entity Recognition in the Romanian Legal Domain#1091965
Record · ID 1178529
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive