PP Attachment Ambiguity Resolution with Corpus-Based Pattern Distributions and Lexical Signaturese
| Paper File | Download Paper File | | Appear In | ECTI Transaction CIT (ECTI Transaction CIT) | | Publication Date | 01/11/2006 - 30/11/2006 | | Volume | 2 | | Pages | 116 - 120 | | No | 2 | | Author 1 | Nuria Gala | | Author 2 | Mathieu Lafourcade |
Abstract
We propose a method mixing unsupervised learning
of lexical pattern frequencies with semantic information
which aims at improving the resolution of
PP attachment ambiguity. Using the output of a robust
parser, i.e. the set of all possible attachments
for a given sentence, we query the Web and obtain
statistical information about the frequencies of the
attachments distributions as well as lexical signatures
of the terms on the patterns. All this information is
used to weight the dependencies yielded by the parser
and eventually to choose of the most probable attachment. |
