TY - GEN digital ID - 131707203 TI - Semi-Supervised Dependency Parsing AU - Chen, Wenliang AU - Zhang, Min PY - 2015 SN - 9789812875525 9789812875518 9789812875532 9789811012341 PB - Singapore Springer Singapore, Imprint: Springer DB - UniCat KW - Computer architecture. Operating systems KW - Mathematical linguistics KW - spraaktechnologie UR - https://www.unicat.be/uniCat?func=search&query=sysid:131707203 AB - This book presents a comprehensive overview of semi-supervised approaches to dependency parsing. Having become increasingly popular in recent years, one of the main reasons for their success is that they can make use of large unlabeled data together with relatively small labeled data and have shown their advantages in the context of dependency parsing for many languages. Various semi-supervised dependency parsing approaches have been proposed in recent works which utilize different types of information gleaned from unlabeled data. The book offers readers a comprehensive introduction to these approaches, making it ideally suited as a textbook for advanced undergraduate and graduate students and researchers in the fields of syntactic parsing and natural language processing. ER -