We have GATE ANNIE framework based Resume parser written in Java. The parser needs to enhance to more intelligent parsing, there few bugs which need to fixed.
The developer must have worked with GATE ANNI framework and JAPE grammer
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He needs sign a NDA and invoice is must. Local taxes apply.
Qualifying Answer: 'Have worked on GATE NLP'
Hi,
I can provide you a good Java solution, built on top of my own OpenMana NLP Tool.
The OpenMana NLP tool has been developed with the following design objectives:
1. Should be able to parse-analyze arbitrarily complex sentences in any natural language.
2. Should be able to efficiently and completely extract the semantics encoded in natural language utterances.
The OpenMana NLP Tool has a language-independent framework. Language-specific components can be developed in a cost-effective manner and plugged into the Tool. Such component has been developed and plugged in for English.
The Tool has semantic focus and orientation. It has a Knowledge Management Framework. The Tool is efficient in building ontologies by reading NL-text.
All semantics extracted from NL-Utterances can be stored in the format provided by this KM-Framework.
The storage-format is based on the MOF (Meta Object Facility) standard from W3C.
It will be possible to convert the stored knowledge into RDF / OWL formats.
Dictionary-Support:
Integration with WordNet for English has been completed.
POS-Tagging:
For English, integration with the Stanford-POS-Tagger has been completed.
The tool has been developed in Java (JSE8) and so can run in disparate computing environments.
The Tool uses the Castor open source API for Java-XML-binding.
Building Applications:
The OpenMana NLP Tool does a better job of Natural Language Understanding (NLU) than most other NLP libraries or tool-kits.
Thanks,
Satya
Hi Mrcool18T,
I am competitive to this kind of task, can take good care of this project. In fact, I already done related to this job before. Let me know the best of your time so we can discuss further based on your requirements and we can move forward to the next step.
Thanks,
Joseph C Ocero