view release on metacpan or  search on metacpan

lib/Alvis/NLPPlatform/UserNLPWrappers.pm  view on Meta::CPAN

The method wraps the term tagging step of the ALVIS NLP
Platform. C<$doc_hash> is the hashtable containing containing all the
annotations of the input document. This step aims at recognizing terms
in the documents differing from named entities, like I<gene
expression>, I<spore coat cell>.

C<$hash_config> is the
reference to the hashtable containing the variables defined in the
configuration file.


=head2 syntactic_parsing()

    syntactic_parsing($h_config, $doc_hash);

This method wraps the sentence parsing. It aims at exhibiting the
graph of the syntactic dependency relations between the words of the
sentence. C<$doc_hash> is the hashtable containing containing all the
annotations of the input document.

C<$hash_config> is the
reference to the hashtable containing the variables defined in the
configuration file.

Here is a example of how to tune the platform according to the
domain. We integrated and wrapped the BioLG parser, specialized for
biology text parsing.




=head2 bio_syntactic_parsing()

    bio_syntactic_parsing($h_config, $doc_hash);

This method wraps the sentence parsing tuned for biology texts. As the
default wrapper (C<syntactic_parsing>), it aims at exhibiting the
graph of the syntactic dependency relations between the words of the
sentence. C<$doc_hash> is the hashtable containing containing all the
annotations of the input document.

C<$h_config> is the reference to the hashtable containing the
variables defined in the configuration file.

We actually integrage a version of the Link Parser tuned for the
biology: BioLG (Sampo Pyysalo, Tapio Salakoski, Sophie Aubin and
Adeline Nazarenko. I<Lexical Adaptation of Link Grammar to the
Biomedical Sublanguage: a Comparative Evaluation of Three
Approaches>. Proceedings of the Second International Symposium on
Semantic Mining in Biomedicine (SMBM 2006). Pages 60-67. Jena,
Germany, 2006).




=head2 semantic_feature_tagging()

    semantic_feature_tagging($h_config, $doc_hash)

The method wraps the semantic typing step, that is the attachment of a
semantic type to the words, terms and named-entities (referred to as
lexical items in the following) in documents according to the
conceptual hierarchies of the ontology of the domain.

C<$doc_hash> is the hashtable containing containing all the
annotations of the input document.

C<$hash_config> is the
reference to the hashtable containing the variables defined in the
configuration file.


=head2 semantic_relation_tagging()

    semantic_relation_tagging($h_config, $doc_hash)


This method wraps the semantic relation identification step. These
semantic relation annotations give another level of semantic
representation of the document that makes explicit the role that these
semantic units (usually named-entities and/or terms) play with respect
to each other, pertaining to the ontology of the domain.

C<$doc_hash> is the hashtable containing containing all the
annotations of the input document.

C<$hash_config> is the
reference to the hashtable containing the variables defined in the
configuration file.



=head2 anaphora_resolution()

    anaphora_resolution($h_config, $doc_hash)

The methods wraps the anaphora solver. C<$doc_hash> is the hashtable
containing containing all the annotations of the input document. It
aims at identifing and solving the anaphora present in a document.

C<$hash_config> is the
reference to the hashtable containing the variables defined in the
configuration file.



# =head1 ENVIRONMENT

=head1 SEE ALSO

Alvis web site: http://www.alvis.info

=head1 AUTHORS

Thierry Hamon <thierry.hamon@lipn.univ-paris13.fr> and Julien Deriviere <julien.deriviere@lipn.univ-paris13.fr>

=head1 LICENSE

Copyright (C) 2005 by Thierry Hamon and Julien Deriviere