Event Causality Extraction from Natural Science Literature

Event Causality Extraction from Natural Science Literature

We aim to develop a text mining framework capable of identifying and extracting causal dependencies among changing variables (or events) from scientific publications in the cross-disciplinary field of oceanographic climate science. The extracted information can be used to infer new knowledge or to find out unknown hypotheses through reasoning, which forms the basis of a knowledge discovery supp...

Inter-Event Dependencies support Event Extraction from Biomedical Literature

The description of events in biomedical literature often follows discourse patterns. For example, authors may firstly mention the transcription of a gene, and then go on to describe how this transcription is regulated by another gene. Capturing such patterns can be beneficial when we want to extract event mentions from literature. For instance, detecting the mention of a transcription of gene A...

Expert Systems for Natural Disaster Event Extraction

Disease causality extraction based on lexical semantics and document-clause frequency from biomedical literature

BACKGROUND Recently, research on human disease network has succeeded and has become an aid in figuring out the relationship between various diseases. In most disease networks, however, the relationship between diseases has been simply represented as an association. This representation results in the difficulty of identifying prior diseases and their influence on posterior diseases. In this pape...

Historical Event Extraction from Text

In this paper, we report on how historical events are extracted from text within the Semantics of History research project. The project aims at the creation of resources for a historical information retrieval system that can handle the time-based dynamics and varying perspectives of Dutch historical archives. The historical event extraction module will be used for museum collections, allowing u...