Finding biological entities (such as genes or proteins) that satisfy certain conditions from texts is an important and challenging task in biomedical information retrieval and tex...
We present D-HOTM, a framework for Distributed Higher Order Text Mining based on named entities extracted from textual data that are stored in distributed relational databases. Unl...
As many popular text genres such as blogs or news contain opinions by multiple sources and about multiple targets, finding the sources and targets of subjective expressions become...
Josef Ruppenhofer, Swapna Somasundaran, Janyce Wie...
Collocational analysis is the basis of many studies on lexical acquisition. Collocations are extracted from corpora using more or less shallow processing techniques, that span from...
Roberto Basili, Maria Teresa Pazienza, Paola Velar...
This paper addresses the problem of similar image retrieval, especially in the setting of large-scale datasets with millions to billions of images. The core novel contribution is ...