A new condition mining method that relies on a deep neural network and attempts to overcome the limitations of existing methods for condition mining is proposed, which revealed two key findings: the connectives follows a long-tail distribution and the conditions are quite dissimilar from a semantic point of view. Expand
This paper defines requirements for a state-of-the-art semantification architecture and presents a concept for a new semantization architecture meeting these requirements, key strengths of the presented concepts are accessibility for non-experts, scalability and flexibility. Expand
We present a platform that enables the semantic analysis, enrichment, visualisation and presentation of a document collection in a way that enables human users to intuitively interact and explore the… Expand
This book explores how advances in machine learning and data mining can solve current and future problems in astronomy and looks at how they could lead to the creation of entirely new algorithms within the data mining community. Expand
2019 IEEE 14th International Symposium on Autonomous Decentralized System (ISADS)
This paper proposes designing domain specific ontology to improve the accuracy of understanding and the proposed solution not only improves accuracy but is economical also as it does not require any major hardware investment. Expand
Pour minimiser l’effort humain requis dans les de two familles d’approches de mise au point de regles, nous avons propose, dans ce travail de these, une approche hybride qui combine les deux en un seul systeme interactif qui procede en plusieurs iterations.Expand
The Unstructured Information Management Architecture (UIMA) is a generic platform for processing text and other unstructured, human-generated data. For text, it has been proposed and is being used… Expand
The research performed in the DeepThought project aims at demonstrating the potential of deep linguistic processing if combined with shallow methods for robustness, and the feasibility of three ambitious applications will be demonstrated, namely: precise information extraction for business intelligence; email response management for customer relationship management; creativity support for document production and collective brainstorming.Expand
The focus of this paper is on recent developments in response to new challenges in Language Engineering: Semantic Web, integration with Information Retrieval and data mining, and the need for machine learning support. Expand
Ellogon provides a powerful TIPSTER-based infrastructure for managing, storing and exchanging textual data, embedding and managing text processing components as well as visualising textual data and their associated linguistic information. Expand
This paper describes version 1.3 of the FreeLing suite of NLP tools, which has been improved and enlarged to cover more languages and offer more services: Named entity recognition and classification, chunking, dependency parsing, and WordNet based semantic annotation. Expand
The TIPSTER Program aims to push the technology for access to information in large (multi-GB) text collections, in particular for the analysts in Government agencies. Technology is being developed… Expand
A formal model for annotating linguistic artifacts is described, from which an application programming interface (API) to a suite of tools for manipulating these annotations are derived, and a review of the current efforts towards implementing key pieces of this architecture is reviewed.Expand
This paper demonstrates how existing model of water flow can be ported to GPU environment with OpenCL programming framework, and presents how Cellular Automata model can be implemented for processing on Graphics Processing Unit (GPU).
A data architecture that matches the requirements for efficient processing of spatial queries in the extended database environment is proposed and provides an equal opportunity for both the spatial components and the non-spatial components of the data to participate in query processing and optimization.