[u' @inproceedings{da_silva_conrado_extracting_2011, address = {Lisbon, Portugal}, title = {Extracting {Multiword} {Expressions} using {Enumerations} of {Noun} {Phrases} in {Specialized} {Domains}: first experiences}, isbn = {978-989-95618-4-7}, abstract = {We present a recognition algorithm for enumerations of Noun Phrase (NPEs) whose objective is to detect and extract multiword expression (MWE). The algorithm used syntactic rules elaboration from linguistic information aiming to recognize NPEs. This information corresponds to morphological categories (noun, adjective, female, male, etc.). The evaluation takes into account only bigrams found in two di\u2b1afferent domain corpora of medicine and legal texts. The results are encouraging because, despite the low recall of MWEs, many signi\u2b1aficant terminological units from the two specialized domains were detected and extracted.}, booktitle = {Proceedings of the 15th {Portuguese} {Conference} on {Artificial} {Intelligence}}, author = {da Silva Conrado, Merley and Koza, Walter and Diaz-Labrador, Josuka and Abaitua, Joseba and Pardo, Thiago A. S. and Solana, Zulema}, month = oct, year = {2011}, keywords = {Natural language processing, core-b, medical domain, multiword expressions, term extraction} }']