Verkäufer
Ria Christie Collections, Uxbridge, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
AbeBooks-Verkäufer seit 25. März 2015
In. Bestandsnummer des Verkäufers ria9783639314878_new
This book proposes a linguistically motivated approach to terminological processing.Specifically, it investigates how syntactic functions can be utilized for enhanced term extraction. The rationale of this work stems from the understanding that terms tend to perform particular syntactic functions more prominently and their syntactic behaviour can be captured and represented as termhood by computing term ratios in different syntactic paths. In essence, this method is a weighting scheme that measures the probabilistic relations between term occurring patterns and syntactic paths. The studies presented in this book are aimed at answering several research questions: whether syntactic information is useful for recognizing candidate terms in medical text, how this syntactically oriented metric can be used to improve the ranking of multi-word terms, and whether this metric can be used effectively for novel term recognition as an effective feature in a machine learning paradigm. This research has led to an implemented system which demonstrates superior performance when compared with some major publically accessible systems for term extraction.
Reseña del editor: This book proposes a linguistically motivated approach to terminological processing.Specifically, it investigates how syntactic functions can be utilized for enhanced term extraction. The rationale of this work stems from the understanding that terms tend to perform particular syntactic functions more prominently and their syntactic behaviour can be captured and represented as termhood by computing term ratios in different syntactic paths. In essence, this method is a weighting scheme that measures the probabilistic relations between term occurring patterns and syntactic paths. The studies presented in this book are aimed at answering several research questions: whether syntactic information is useful for recognizing candidate terms in medical text, how this syntactically oriented metric can be used to improve the ranking of multi-word terms, and whether this metric can be used effectively for novel term recognition as an effective feature in a machine learning paradigm. This research has led to an implemented system which demonstrates superior performance when compared with some major publically accessible systems for term extraction.
Titel: Contributions of Syntactic Functions towards...
Verlag: VDM Verlag Dr. Müller
Erscheinungsdatum: 2010
Einband: Softcover
Zustand: New
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. Contributions of Syntactic Functions towards Term Extraction | A syntax-based approach to term extraction | Xing Zhang (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2010 | VDM Verlag Dr. Müller | EAN 9783639314878 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu. Artikel-Nr. 107163511
Anzahl: 5 verfügbar