It was about one and a half years ago that I finally I arrived where I had always wanted to be and do what I had always wanted-- teach students, support small language communities and conduct research on African languages on my doorstep. The University of Cape Town and my new colleagues welcomed my efforts to establish the Centre for African Language Diversity-- CALDi as well as The African Language Archive-- TALA and I was recently appointed the Mellon Research Chair: African Language Diversity this initiative. The main aim of CALDi is to train young African scholars in descriptive linguistics and open up space for research into African languages at UCT with the hopes of countering the dominance of African linguistics outside the continent. It has been a great challenge for which my whole career has been a form of preparation...Read more
The Cambridge Handbook of Communication Disorders examines the full range of developmental and acquired communication disorders and provides the most up-to-date and comprehensive guide to the epidemiology, aetiology and clinical features of these disorders.
Multi-source, Multilingual Information Extraction and Summarization
Theory and Applications of Natural Language Processing
Information extraction (IE) and text summarization (TS) are powerful technologies for finding relevant pieces of information in text and presenting them to the user in condensed form. The ongoing information explosion makes IE and TS critical for successful functioning within the information society.
These technologies face particular challenges due to the inherent multi-source nature of the information explosion. The technologies must now handle not isolated texts or individual narratives, but rather large-scale repositories and streams---in general, in multiple languages---containing a multiplicity of perspectives, opinions, or commentaries on particular topics, entities or events. There is thus a need to adapt existing techniques and develop new ones to deal with these challenges.
This volume contains a selection of papers that present a variety of methodologies for content identification and extraction, as well as for content fusion and regeneration. The chapters cover various aspects of the challenges, depending on the nature of the information sought---names vs. events,--- and the nature of the sources---news streams vs. image captions vs. scientific research papers, etc. This volume aims to offer a broad and representative sample of studies from this very active research field.