Artificial Intelligence (AI), Knowledge Modeling (KM) and Information Extraction (IE) methods are increasingly important for legal informatics. There is an increasing number of research works on the limits and unexplored opportunities offered by AI for the representation and extraction of knowledge in the legal domain. Typical research goals may include: classification of legal sources, legal design (including legal ontologies), similarity among legal sources and clustering, prediction and support in decision-making processes, legal interpretation support, outlining the evolution of legal concepts and definitions over time, information extraction and classification, detection of linguistic phenomena and patterns in legal sources, multilingual alignments of concepts on domestic and international legal sources, identifying legal references and network analysis, analogical reasoning and compliance checking. The Knowledge Management for Law (KM4LAW) workshop intends to be a forum to focus on legal informatics from a broad perspective.
TOPICS OF INTEREST
We welcome contributions on digital justice and digital law, as well as modeling and conceptualization features. Potential topics and areas to be addressed in the workshop are:
- Natural language processing techniques and systems for legal documents
- Identification of legal semantic roles and extraction of named entities
- Automated knowledge extraction from legal text corpora
- Experimental results using and adapting NLP methods for legal data
- Information retrieval and multimedia search for legal documents
- Multilingual alignments, retrieval, extraction and analysis of legal sources
- Linked data and knowledge graphs in the legal domain
- Classification or clustering of law
- Domain-Specific Visual Modeling Language (DSVML) and law
- Legal ontologies, visual law, legal design, and correlated themes
- (Multilingual) Thesauri, vocabularies, and taxonomies in the legal area
- Entity Recognition and Disambiguation
- Training and Using Embeddings for legal text
- Computational models of argumentation for legal data
- Knowledge Base Population
- Question Answering
- Dialogue and Discourse Analysis
- Query Understanding
- Link Analysis, Relation and Event Extraction
- Combining Legal Text with Structured Data
- Legal Text Summarization and Generation
- Emerging applications in legal data & knowledge engineering