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71
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COLING
2002
14 years 10 months ago
Combining Unsupervised and Supervised Methods for PP Attachment Disambiguation
Statistical methods for PP attachment fall into two classes according to the training material used: first, unsupervised methods trained on raw text corpora and second, supervised...
Martin Volk
122
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NLDB
2004
Springer
15 years 4 months ago
Acquiring Selectional Preferences from Untagged Text for Prepositional Phrase Attachment Disambiguation
Abstract. Extracting information automatically from texts for database representation requires previously well-grouped phrases so that entities can be separated adequately. This pr...
Hiram Calvo, Alexander F. Gelbukh
65
Voted
ACL
2006
15 years 8 days ago
The Benefit of Stochastic PP Attachment to a Rule-Based Parser
To study PP attachment disambiguation as a benchmark for empirical methods in natural language processing it has often been reduced to a binary decision problem (between verb or n...
Kilian A. Foth, Wolfgang Menzel
EMNLP
2004
15 years 8 days ago
Unsupervised WSD based on Automatically Retrieved Examples: The Importance of Bias
This paper explores the large-scale acquisition of sense-tagged examples for Word Sense Disambiguation (WSD). We have applied the "WordNet monosemous relatives" method t...
Eneko Agirre, David Martínez
83
Voted
CIARP
2004
Springer
15 years 4 months ago
Unsupervised Learning of Ontology-Linked Selectional Preferences
We present a method for extracting selectional preferences of verbs from unannotated text. These selectional preferences are linked to an ontology (e.g. the hypernym relations foun...
Hiram Calvo, Alexander F. Gelbukh