Identifying Terms by their Family and Friends

@misc{citeulike:1222865, abstract = {Multi-word terms are traditionally identified using statistical techniques or, more recently, using hybrid techniques combining statistics with shallow linguistic information. Approaches to word sense disambiguation and machine translation have taken advantage of contextual information in a more meaningful way, but terminology has rarely followed suit. We present an approach to term recognition which identifies salient parts of the context and measures their strength of association to relevant...}, author = {Maynard, Diana and Ananiadou, Sophia }, citeulike-article-id = {1222865}, comment = {An improvement to NC Value approach by Diana Maynard. Performance is improved a little. It compares results with NC Value, which was considered state of the art.}, keywords = {automatic, recognition, term}, posted-at = {2007-04-12 21:28:21}, priority = {0}, title = {Identifying Terms by their Family and Friends}, url = {http://citeseer.ist.psu.edu/434361.html} }

TY - GEN ID - citeulike:1222865 L3 - citeulike-article-id:1222865 TI - Identifying Terms by their Family and Friends N2 - Multi-word terms are traditionally identified using statistical techniques or, more recently, using hybrid techniques combining statistics with shallow linguistic information. Approaches to word sense disambiguation and machine translation have taken advantage of contextual information in a more meaningful way, but terminology has rarely followed suit. We present an approach to term recognition which identifies salient parts of the context and measures their strength of association to relevant... KW - automatic KW - recognition KW - term N1 - An improvement to NC Value approach by Diana Maynard. Performance is improved a little. It compares results with NC Value, which was considered state of the art. AU - Maynard, Diana AU - Ananiadou, Sophia UR - http://citeseer.ist.psu.edu/434361.html ER -