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A Distributional Memory for German
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In: http://www.oegai.at/konvens2012/proceedings/67_pado12w/67_pado12w.pdf (2012)
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| 2 |
Generalized event knowledge in logical metonymy resolution
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In: http://www.ims.uni-stuttgart.de/institut/mitarbeiter/zarconaa/pdf/zarconepado_cogsci2011_poster.pdf (2011)
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A Flexible, Corpus-Driven . . .
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In: http://wing.comp.nus.edu.sg/~antho/J/J10/J10-4007.pdf (2010)
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Abstract:
We present a vector space–based model for selectional preferences that predicts plausibility scores for argument headwords. It does not require any lexical resources (such as WordNet). It can be trained either on one corpus with syntactic annotation, or on a combination of a small semantically annotated primary corpus and a large, syntactically analyzed generalization corpus. Our model is able to predict inverse selectional preferences, that is, plausibility scores for predicates given argument heads. We evaluate our model on one NLP task (pseudo-disambiguation) and one cognitive task (prediction of human plausibility judgments), gauging the influence of different parameters and comparing our model against other model classes. We obtain consistent benefits from using the disambiguation and semantic role information provided by a semantically tagged primary corpus. As for parameters, we identify settings that yield good performance across a range of experimental conditions. However, frequency remains a major influence of prediction quality, and we also identify more robust parameter settings suitable for applications with many infrequent items.
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URL: http://wing.comp.nus.edu.sg/~antho/J/J10/J10-4007.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.396.2862
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| 4 |
Crosslingual induction of selectional preferences with bilingual vector spaces
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In: http://aclweb.org/anthology-new/N/N10/N10-1135.pdf (2010)
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Cross-lingual annotation projection for semantic roles
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In: http://jair.org/media/2863/live-2863-4721-jair.pdf (2009)
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| 6 |
Robust Machine Translation Evaluation with Entailment Features
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In: http://aclweb.org/anthology-new/P/P09/P09-1034.pdf (2009)
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| 7 |
Robust Machine Translation Evaluation with Entailment Features
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In: http://www.nlpado.de/~sebastian/pub/papers/acl09_pado.pdf (2009)
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| 8 |
Textual entailment features for machine translation evaluation
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In: http://aclweb.org/anthology-new/W/W09/W09-0404.pdf (2009)
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| 9 |
Formalising multi-layer corpora in OWL/DL – lexicon modelling, querying and consistency control
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In: http://www.nlpado.de/~sebastian/pub/papers/ijcnlp08_burchardt.pdf (2008)
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| 10 |
Comparing and Combining Semantic Verb Classifications
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In: http://nlp.stanford.edu/pubs/lre08_culo.pdf (2008)
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| 11 |
Dependency-based construction of semantic space models
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In: http://www.coli.uni-saarland.de/~pado/pub/papers/cl07_pado.pdf (2007)
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| 12 |
Dependency-based construction of semantic space models
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In: http://www.aclweb.org/anthology/J/J07/J07-2002.pdf (2007)
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| 13 |
Towards a computational model of gradience in word sense
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In: http://www.coli.uni-saarland.de/projects/salsa/papers/pdfs/2007/iwcs07_erk.pdf (2007)
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| 14 |
The SALSA corpus: a German corpus resource for lexical semantics
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In: http://www.cs.brandeis.edu/~marc/misc/proceedings/lrec-2006/pdf/339_pdf.pdf (2006)
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The salsa corpus: a german corpus resource for lexical semantics
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In: http://www.coli.uni-saarland.de/~pado/pub/papers/lrec06_burchardt1.pdf (2006)
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| 16 |
[President Kennedy] Speaker said STATEMENT
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In: http://www.coli.uni-saarland.de/projects/salsa/esslli06-slides/3_Phenomena.pdf (2006)
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| 17 |
Cross-lingual bootstrapping for semantic lexicons
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In: http://www.coli.uni-saarland.de/~pado/pub/papers/aaai05_pado.pdf (2005)
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| 18 |
Cross-lingual bootstrapping for semantic lexicons
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In: http://www.aaai.org/Papers/AAAI/2005/AAAI05-172.pdf (2005)
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| 19 |
To cause or not to cause: Cross-lingual semantic matching for paraphrase modelling
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In: http://www.site.uottawa.ca/~diana/Cross_Language_Knowledge_Induction_Workshop/P10.pdf (2005)
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| 20 |
Towards a Resource for Lexical Semantics: A Large German Corpus With Extensive Annotation
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In: http://acl.ldc.upenn.edu/acl2003/main/ps/Erk.ps (2003)
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