Automated knowledge extraction from polymer literature using natural language processing

Wnt pathway curation using automated natural language processing: combining statistical methods with partial and full parse for knowledge extraction

MOTIVATION Wnt signaling is a very active area of research with highly relevant publications appearing at a rate of more than one per day. Building and maintaining databases describing signal transduction networks is a time-consuming and demanding task that requires careful literature analysis and extensive domain-specific knowledge. For instance, more than 50 factors involved in Wnt signal tra...

Geographic information extraction using natural language processing in Wikipedia texts

Geographic information extracted from texts is a valuable source of location data about documents, which can be used to improve information retrieval and document indexing. Linked Data and digital gazetteers provide a large amount of data that can support the recognition of places mentioned in text. Natural Language Processing techniques, which have evolved significantly over the last years, of...

Using Natural Language Processing for Autism Trigger Extraction

Knowledge Extraction from MEDLINE by Combining Clustering with Natural Language Processing

The identification of relevant predicates between co-occurring concepts in scientific literature databases like MEDLINE is crucial for using these sources for knowledge extraction, in order to obtain meaningful biomedical predications as subject-predicate-object triples. We consider the manually assigned MeSH indexing terms (main headings and subheadings) in MEDLINE records as a rich resource f...

Review of Knowledge Extraction from Email: The Boundaries of Natural Language Processing Techniques

The aim of this research is to determine if natural language processing techniques can be used to fully automate the extraction of knowledge from emails. The paper reviews the four generations of building systems to share knowledge and highlights the challenges faced by all. The paper shows that although the f-measure results are world leading for this study, there is still a requirement for us...