J
Jasmin Saric
Researcher at Boehringer Ingelheim
Publications - 17
Citations - 1236
Jasmin Saric is an academic researcher from Boehringer Ingelheim. The author has contributed to research in topics: Information extraction & Ontology (information science). The author has an hindex of 12, co-authored 17 publications receiving 1209 citations.
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Journal ArticleDOI
Literature mining for the biologist: from information retrieval to biological discovery.
TL;DR: This work states that literature mining is also becoming useful for both hypothesis generation and biological discovery, however, the latter will require the integration of literature and high-throughput data, which should encourage close collaborations between biologists and computational linguists.
Journal ArticleDOI
Extraction of regulatory gene/protein networks from Medline
TL;DR: An organism-specific resource of gene/protein names considerably larger than those used in most other biology related information extraction approaches is made use, to capture both new types of linguistic constructs as well as new type of biological information.
Proceedings Article
Unsupervised learning of semantic relations between concepts of a molecular biology ontology
TL;DR: An in-depth analysis of the output of the system shows that the model is accurate and has good potentials for text mining and ontology building applications.
Book ChapterDOI
SABIO-RK: integration and curation of reaction kinetics data
Ulrike Wittig,Martin Golebiewski,Renate Kania,Olga Krebs,Saqib Mir,Andreas Weidemann,Stefanie Anstein,Jasmin Saric,Isabel Rojas +8 more
TL;DR: SABIO-RK is a curated database with information about biochemical reactions and their kinetic properties, which contains and merges information about reactions such as reactants and modifiers, organism, tissue and cellular location, as well as the kinetic properties of the reactions.
Journal ArticleDOI
Ontology-driven discourse analysis for information extraction
TL;DR: A novel approach to discourse analysis within information extraction systems that makes use of DRT as formal representation of the linguistic context as well as of a domain-specific ontology as a basis to compute conceptual relations between extracted events thus establishing discourse coherence.