We describe the process of converting plain text cultural heritage data to elements of a domain-specific knowledge base, using general machine learning techniques. First, digitise...
Research in natural language generation promises significant advances in the ways in which we can make available the contents of underlying information sources. Most work in the f...
Robert Dale, Stephen J. Green, Maria Milosavljevic...
A major obstacle to the construction of a probabilistic translation model is the lack of large parallel corpora. In this paper we first describe a parallel text mining system that...
The ASKNet project uses a combination of NLP tools and spreading activation to transform natural language text into semantic knowledge networks. Network fragments are generated fr...
In this paper we investigate the use of surface text patterns for a Maximum Entropy based Question Answering (QA) system. These text patterns are collected automatically in an uns...
Deepak Ravichandran, Abraham Ittycheriah, Salim Ro...