Ulrike Pado

Doktorarbeit

K. Erk, S. Pado und U. Pado, A Flexible, Corpus-driven Model of Regular and Inverse Selectional Preferences. Computational Linguistics, zur Publikation angenommen.
U. Pado, M. Crocker und F. Keller, A Probabilistic Model of Semantic Plausibility in Sentence Processing. Cognitive Science 33, pp. 794-838. 2009. (.pdf, pre-final draft)

J. Bernstein, M. Suzuki, J. Cheng und U. Pado, Evaluating Diglossic Aspects of an Automated Test of Spoken Modern Standard Arabic. SLaTE 2009, Birmingham, UK, 2009 (.pdf)
J. Cheng, J. Bernstein, U. Pado und M. Suzuki, Automatic Assessment of Spoken Modern Standard Arabic. 4th Workshop on Innovative Use of NLP for Building Educational Applications, NAACL-HLT, Boulder, CO, 2009. (.pdf)
S. Pado, U. Pado und K. Erk, Flexible, Corpus-Based Modelling of Human Plausibility Judgements. EMNLP, Prague, 2007. (.pdf)
U. Pado, M. Crocker und F.Keller, Modelling Semantic Role Plausibility in Human Sentence Processing. EACL, Trento, 2006 (.pdf).
U. Pado, F. Keller und M. Crocker, Combining Syntax and Thematic Fit in a Probabilistic Model of Sentence Processing. CogSci, Vancouver, 2006. (.pdf)
U. Baldewein, K. Erk, S. Pado und D. Prescher, Semantic Role Labeling with Chunk Sequences. CoNLL-2004, Boston, MA, 2004. (.ps.gz)
U. Baldewein, K. Erk, S. Pado und D. Prescher, Semantic Role Labelling With Similarity-Based Generalisation Using EM-based Clustering. SENSEVAL-3, Barcelona, 2004. (.ps.gz)
U. Baldewein und F. Keller, Modelling Attachment Decisions with a Probabilistic Parser: The Case of Head-Final Structures. CogSci, Chicago, IL, 2004. (.ps.gz)

J. Bernstein, J. Cheng, U. Pado, M. Suzuki, M. Al-Saffar und A. Van Moere, Developing and Validating an Automated Test of Spoken MSA. ECOLT, Washington D.C., 2008.
U. Pado, F. Keller und M. Crocker, Predicting Plausible Roles for Verb-Argument Pairs. AMLaP, Ghent, Belgium, 2005.

U. Pado, Developing Versant tests of spoken language. Stanford NLP group meeting, 2009.
U. Pado, Modelling syntactic and semantic factors in human sentence processing. NTL meeting, ICSI Berkeley, 2008.
U. Pado, Syntax and semantic plausibility in a model of human sentence comprehension. Stanford Psychology of Language Tea, 2008.
U. Pado, Modelling Semantic Plausibility in Human Sentence Processing using FrameNet and PropBank. Workshop on Multi-Lingual Semantic Annotation: Theory and Applications, Saarbrücken, Germany, 2006.

U. Pado, M. Crocker und F. Keller, The Integration of Syntax and Semantic Plausibility in a Wide-Coverage Model of Human Sentence Processing. Poster presented at the 20th CUNY Conference, San Diego, CA, 2007. (.pdf)
U. Pado, M. Crocker und F. Keller, A Modelling Architecture for Incorporating Semantics into Probabilistic Models. Poster presented at the 18th CUNY Conference, Tucson, AZ, 2005. (.pdf)
U. Baldewein und F. Keller, Modelling Attachment Decisions with a Probabilistic Parser. Poster presented at the 17th CUNY Conference, Washington, D.C., 2004. (.pdf)

U. Baldewein, Modelling Attachment Decisions with a Probabilistic Parser. Master's Thesis, University of Edinburgh, 2003. (.ps.gz)