Our Aims and Objectives
- Provision of full services and service exemplars for domains of interest to the UK academic community, leveraging the UK e-Science framework, grid technology, relevant standards and OMII-UK middleware. In the first phase NaCTeM concentrated on biology.
- Provide access to text mining tools and resources by
- Maintaining an inventory of best of breed software
- Linking to resources, e.g. annotated corpora, ontologies, terminologies, grammars
- Provide consultancy and advice
- Provide education and dissemination through online tutorials, white papers, updated news and events, seminars, training workshops, etc.
- Provide user oriented formative and summative adequacy evaluation of service provision, and developer oriented progress evaluation of text mining tool and service provision.
NaCTeM's tools and services offer benefits to a wide range of users eg. reduction in time and effort for finding and linking pertinent information from large scale textual resources and customised solutions in semantic data analysis You can find a fuller description of the aims and objectives of the Centre in our article in Ariadne Magazine.
S. Ananiadou (2007) The National Centre for Text Mining: a Vision for the Future, in Ariadne (53) , paper on line
Featured News
- Invited talk at BioASQ 2023
- Prof. Ananiadou appointed as Senior Area Chair for ACL 2023 and IJCNLP-AACL 2023
- New Knowledge Transfer Partnership with 10BE5
- Panellist at Digital Trust and Society Forum 2023
- Chinese Government AwardAward for PhD student Tianlin Zhang
- Advances in Data Science and AI Conference 2023
- Keynote talk at EMBL-EBI industry club Machine Learning for Text Mining
- Talk at Open Data Science Conference (ODSC)
- BioLaySumm 2023 - Shared Task @ BioNLP 2023
- Prof. Ananiadou gives talk as distinguished speaker in the Women in AI speaker series
- Junichi Tsujii awarded Order of the Sacred Treasure, Gold Rays with Neck Ribbon
Other News & Events
- Keynote Talk at the Festival of AI
- Recent funding successes for Prof. Sophia Ananiadou
- New article on using neural architectures to aggregate sequence labels from multiple annnotators
- New article on improving biomedical extractive summarisation using domain knowledge
- New article on automated detection and analysis of depression and stress in social media data