The forces experienced while surgically cutting anatomical tissues from a sheep and two rats were investigated for three scissor types. Data were collected in situ using instrumen...
Stephanie Greenish, Vincent Hayward, Vanessa B. Ch...
We describe and evaluate experimentally a method for clustering words according to their distribution in particular syntactic contexts. Words are represented by the relative frequ...
Fernando C. N. Pereira, Naftali Tishby, Lillian Le...
Location-based context is important for many applications. Previous systems offered only coarse room-level features or used manually specified room regions to determine fine-sca...
David Demirdjian, Konrad Tollmar, Kimberle Koile, ...
Information on subcategorization and selectional restrictions is important for natural language processing tasks such as deep parsing, rule-based machine translation and automatic...
Clustering short length texts is a difficult task itself, but adding the narrow domain characteristic poses an additional challenge for current clustering methods. We addressed thi...