As text semantics has an important role in text meaning, the term semantics has been seen
in a vast sort of text mining studies. However, there is a lack of studies that integrate the …

Biomedical relation extraction aims to uncover high‐quality relations from life science
literature with high accuracy and efficiency. Early biomedical relation extraction tasks …

This paper presents the preparation, results and analysis of the BioNLP'09 shared task on
event extraction, organized to address the automatic extraction of fine‐grained information …

This paper describes a novel approach presented to the BioNLP'11 Shared Task on GENIA
event extraction. The approach consists of three steps. First, a dictionary is automatically …

This chapter provides a background and a review of existing techniques for extracting
relations from biomedical text. We start with an overview of a relation extraction system. We …

An adaptable and personalised E-learning system (APELS) architecture is developed to
provide a framework for the development of comprehensive learning environments for …

Conventional topic models have been extensively used to extract topics in documents for
topic classification. For example, Latent Dirichlet Allocation (LDA) is a topic modelling …

Biomedical event extraction is the process of automatically detecting statements of
molecular interactions in research articles. It is the hot issue in the biomedical natural …

Internet as well as all the modern media of communication, information and entertainment
entails a massive increase of digital data quantities. Automatically processing and …

The last two decades of invigorating research in the area of human genome sequencing
marked the beginning of large-scale data collection. Much of the valuable knowledge …