18 search results - page 2 / 4 » Statistical Models for Unsupervised Prepositional Phrase Att... |
CIARP
2004
Springer
13 years 11 months ago
2004
Springer
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...
IJCAI
2007
13 years 7 months ago
2007
In this paper we revisit the classical NLP problem of prepositional phrase attachment (PPattachment). Given the pattern V −NP1−P −NP2 in the text, where V is verb, NP1 is a ...
EMNLP
2008
13 years 7 months ago
2008
While phrase-based statistical machine translation systems currently deliver state-of-theart performance, they remain weak on word order changes. Current phrase reordering models ...
ACIIDS
2010
IEEE
13 years 10 months ago
2010
IEEE
There are two main topics in this paper: (i) Vietnamese words are recognized and sentences are segmented into words by using probabilistic models; (ii) the optimum probabilistic mo...
ICML
2004
IEEE
14 years 6 months ago
2004
IEEE
Many NLP tasks rely on accurately estimating word dependency probabilities P(w1|w2), where the words w1 and w2 have a particular relationship (such as verb-object). Because of the...