Mining Unstructured Big Data Using Natural Language Processing
The "Mining unstructured big data using Natural Language Processing" 2013 Workshop will be held at ACM International Conference on Information and Knowledge Management, CIKM 2013.
In this workshop, we will aggregate different but highly related research communities, i.e., “NLP”, “Text Mining” and “IR” researchers, to investigate the possible opportunities and challenges in semantic mining problem.
Talk: Big-data and NLP opportunities and challenges @ HathiTrust
Professor Beth A. Plale has broad research and governance interest in long term preservation and access to scientific data, and enabling computational access to large-scale data for broader groups of researchers. Her specific research interests are in tools for metadata and provenance capture, data repositories, cyberinfrastructure for large-scale data analysis, and workflow systems. Plale is deeply engaged in interdisciplinary research and education and has substantive experience in developing stable and useable scientific cyberinfrastructure.
Workshop Themes and Topics
- Text analysis on different linguistic levels, e.g. lexical, syntactic, semantic, discourse levels
- Entity extraction and named entity recognition
- NLP application/System
- Access to big unstructured data
- Knowledge graph mining
- NLP resource usage or construction
- Ontology/Semantic web based NLP application
- Deployable and scalable NLP for large textual dataset
- Parallel computing and NLP
- Text mining in social media