Cross language information retrieval is a field of study that has received significant research attention, resulting in systems that despite the errors of automatic translation (f...
Mark Sanderson, Paul Clough, Catherine Paterson, W...
We describe here a method for automatically identifying word sense variation in a dated collection of historical books in a large digital library. By leveraging a small set of kno...
The Internet is an ever growing source of information stored in documents of different languages. Hence, cross-lingual resources are needed for more and more NLP applications. Thi...
This editorial article is put together to disseminate the experience gained through the author feedback experiment, performed at the 2007 Passive and Active Measurement (PAM) conf...
This paper explores correspondence and mixture topic modeling of documents tagged from two different perspectives. There has been ongoing work in topic modeling of documents with...