Automatische Erkennung von Figuren in deutschsprachigen Romanen

[1]  Helmut Schmid,et al.  Improvements in Part-of-Speech Tagging with an Application to German , 1999 .

[2]  Satoshi Sekine,et al.  A survey of named entity recognition and classification , 2007 .

[3]  Michael I. Jordan,et al.  Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..

[4]  Manaal Faruqui,et al.  Training and Evaluating a German Named Entity Recognizer with Semantic Generalization , 2010, KONVENS.

[5]  Jeffrey Dean,et al.  Efficient Estimation of Word Representations in Vector Space , 2013, ICLR.

[6]  Maksim Tkatchenko,et al.  Named entity recognition: Exploring features , 2012, KONVENS.

[7]  Bernd Bohnet,et al.  Very high accuracy and fast dependency parsing is not a contradiction , 2010, COLING 2010.

[8]  Frank Puppe,et al.  UIMA Ruta: Rapid development of rule-based information extraction applications , 2014, Natural Language Engineering.

[9]  Ulrich Heid,et al.  SMOR: A German Computational Morphology Covering Derivation, Composition and Inflection , 2004, LREC.

[10]  Christopher D. Manning,et al.  Incorporating Non-local Information into Information Extraction Systems by Gibbs Sampling , 2005, ACL.

[11]  Jeffrey Pennington,et al.  GloVe: Global Vectors for Word Representation , 2014, EMNLP.

[12]  Grzegorz Chrupala,et al.  Efficient induction of probabilistic word classes with LDA , 2011, IJCNLP.

[13]  Erik F. Tjong Kim Sang,et al.  Introduction to the CoNLL-2003 Shared Task: Language-Independent Named Entity Recognition , 2003, CoNLL.