A5053299558- Natural Language Processing Techniques
- Artificial Intelligence in Law
- Topic Modeling
- Sentiment Analysis and Opinion Mining
- Multi-Agent Systems and Negotiation
- Semantic Web and Ontologies
- Advanced Text Analysis Techniques
- Dispute Resolution and Class Actions
- Aerospace and Aviation Technology
- Literary and Cultural Studies
- Advanced Aircraft Design and Technologies
- Digital Marketing and Social Media
- Legal Language and Interpretation
- Humor Studies and Applications
- Biomedical Text Mining and Ontologies
- Astronomical Observations and Instrumentation
- Video Analysis and Summarization
- Advanced Database Systems and Queries
- Advanced Sensor Technologies Research
- Web Data Mining and Analysis
- Data Quality and Management
- linguistics and terminology studies
- Advanced Measurement and Detection Methods
Universidad Politécnica de Madrid
2017-2023
Université Sorbonne Paris Nord
2017
Laboratoire d'Informatique de Paris-Nord
2016
The EU-funded project Lynx focuses on the creation of a knowledge graph for legal domain (Legal Knowledge Graph, LKG) and its use semantic processing, analysis enrichment documents from domain. This article describes cases covered in project, entire developed platform services that operate documents.
Temporal information is crucial in knowledge extraction. Being able to locate events a timeline necessary understand the narrative behind every text. To this aim, several temporal taggers have been proposed literature –nevertheless, not all languages received same attention. Most work only for English texts, and many developed other languages. Also scarcity of annotated corpora notably hinders task. In paper we present new rule-based tagger called Annotador (Añotador Spanish) process texts...
Abstract The extraction and processing of temporal expressions (TEs) in textual documents have been extensively studied several domains; however, for the legal domain it remains an open challenge. This is possibly due to scarcity corpora particularities found that are highlighted this paper. Considering pivotal role played by information when comes analyzing cases, paper presents TempCourt, a corpus 30 from European Court Human Rights, Justice, United States Supreme with manually annotated...
The main concern for airlines is fuel consumption but also a long-term expectancy about the engine cost during its full life. This includes maintenance frequency and shop costs. In next five years, Snecma, as manufacturer, needs to be able collect more than one gigabyte of data per flight engine. becomes huge flow continuously increases should used help our customers improve their operations. We need teams reliability systems; optimize operations with all information available in data, even...
Snecma as major engine manufacturer is often asked by its airline customers to help them improve their efficiency in the operation of engines. The main concern fuel consumption but also a long-term expectancy about cost during full life. For example, this includes maintenance frequency and shop costs. built new laboratory for data analysis who's mission find numeric models able take most knowledge into account when observing large amounts coming back from aircrafts' operations. In next five...