Term identification in the biomedical literature

Term identification in the biomedical literature

Sophisticated information technologies are needed for effective data acquisition and integration from a growing body of the biomedical literature. Successful term identification is key to getting access to the stored literature information, as it is the terms (and their relationships) that convey knowledge across scientific articles. Due to the complexities of a dynamically changing biomedical ...

redundant publication' or 'duplicate publication' in the biomedical literature

Context-based Term Disambiguation in Biomedical Literature

The huge volumes of unstructured texts available online drives the increasing need for automated techniques to analyze and extract knowledge from these repositories of information. Resolving the ambiguity in these texts is an important step for any following analysis tasks. In this paper, we present a new method for one type of ambiguity resolving -term disambiguation. The method is based on ma...

Exploring hedge identification in biomedical literature

We investigate automatic identification of speculative language, or 'hedging', in scientific literature from the biomedical domain. Our contributions include a precise description of the task including annotation guidelines, theoretical analysis and discussion. We show that good agreement can be achieved using our guidelines and present a publicly available benchmark dataset for the task. We ar...

Species Disambiguation for Biomedical Term Identification

An important task in information extraction (IE) from biomedical articles is term identification (TI), which concerns linking entity mentions (e.g., terms denoting proteins) in text to unambiguous identifiers in standard databases (e.g., RefSeq). Previous work on TI has focused on species-specific documents. However, biomedical documents, especially full-length articles, often talk about entiti...