@inproceedings{WiegandKlakow2011,
  author    = {Wiegand, Michael and Klakow, Dietrich},
  title     = {Convolution Kernels for Subjectivity Detection},
  series = {Proceedings of the 18th Nordic Conference of Computational Linguistics (NODALIDA 2011), May 11-13, 2011, Riga, Latvia},
  editor    = {Sandford Pedersen, Bolette and Nešpore, Gunta and Skadiņa, Inguna},
  publisher = {Northern European Association for Language Technology},
  address   = {Uppsala},
  issn      = {1736-6305},
  url       = {http://nbn-resolving.de/urn:nbn:de:bsz:mh39-85032},
  series    = {NEALT Proceedings Series},
  number    = {11},
  pages     = {254 -- 261},
  year      = {2011},
  abstract  = {In this paper, we explore different linguistic structures encoded as convolution kernels for the detection of subjective expressions. The advantage of convolution kernels is that complex structures can be directly provided to a classifier without deriving explicit features. The feature design for the detection of subjective expressions is fairly difficult and there currently exists no commonly accepted feature set. We consider various structures, such as constituency parse structures, dependency parse structures, and predicate-argument structures. In order to generalize from lexical information, we additionally augment these structures with clustering information and the task-specific knowledge of subjective words. The convolution kernels will be compared with a standard vector kernel.},
  language  = {en}
}
@inproceedings{WiegandKlakow2011,
  author    = {Wiegand, Michael and Klakow, Dietrich},
  title     = {The Role of Predicates in Opinion Holder Extraction},
  series = {Proceedings of the RANLP 2011 Workshop on Information Extraction and Knowledge Acquisition,16 September, 2011, Hissar, Bulgaria},
  publisher = {Incoma Ltd.},
  address   = {Shoumen},
  isbn      = {978-954-452-018-2},
  url       = {http://nbn-resolving.de/urn:nbn:de:bsz:mh39-84564},
  pages     = {13 -- 20},
  year      = {2011},
  abstract  = {In this paper, we investigate the role of predicates in opinion holder extraction. We will examine the shape of these predicates, investigate what relationship they bear towards opinion holders, determine what resources are potentially useful for acquiring them, and point out limitations of an opinion holder extraction system based on these predicates. For this study, we will carry out an evaluation on a corpus annotated with opinion holders. Our insights are, in particular, important for situations in which no labelled training data are available and only rule-based methods can be applied.},
  language  = {en}
}