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NLP: Extract Triplets from Standford Dependency Tree

$1500-3500 USD

Closed
Posted almost 4 years ago

$1500-3500 USD

Paid on delivery
Description We are using a Space Stanza for extracting a Stanford Dependency Tree from a user message. We want a novel function to extracts the following information from that tree: - A RDF Triplet - Dialog Act and Functional Request RDF Triplet A RDF Triplet is a subject-predicate-object. The following paper describes a method for doing that: [login to view URL]~hamoudi/files/other/[login to view URL] This is an old project written in Python doing pretty much what we want, except it uses on older version of dependency tree and is is written in Python (we want Typescript). [login to view URL] We want the process go thru every step described in the paper, including: - Create a representation of the Dependency Tree based on the data model found here: [login to view URL] - Internal nodes (operators) - Dependency Tree Simplification - Preprocessing - Grobal and local Transformation - Construction of the normal form As mentioned, the method for doing this is very well described in the paper, and source code in Python available, but we want it in Typescript and also work with out dependencyTree-definition. We also want to add a relation-type between subject and object, when it’s possible. Some relation-types can be mapped from the predicate, but for some you will probably need to analyse the full Dependency Tree. The relation-types are based on ConceptNets relations. We want the RDF Triplet functionality as described above to be rule-based and written in Typescript. The code must be able to create all kind of tripleforms, and predicate-relations as described in the definition file. Dialog Act and Functional Request A Dialog Act and Functional Request describes what semantic request the phrase most likely have. We want to use the MIDAS Framework as described here: [login to view URL] Based on the Dependency Tree and a Context Object, we want to identify what Dialog Act and Functional Request would best describe the user's intention. The code must try to identify all possible acts and requests options described in the definition file. Input is user message, dependency Tree and Context, and output is an identified Dialog Act. We would prefer this to be written in Typescript, but are open for it to be written in Python for Spacy using the Stanza Corpus if the process need some kind of machine learning model to work. Documentation The code needs to be extremely well documented. Every code block needs a description of what it does. Attached [login to view URL] describes all Typescript definitions needed for the projects, as well as an example and expected output.
Project ID: 25714165

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Active 4 yrs ago

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Hello, my name is Andres, and I lead the Data Science team. I work with two colleagues, one guy with NLP and IA background and experience, and the other guy with TypeScript and JavaScript development background and experience. We have experience as a team and even created an application using the RDF triplets not long ago. I think we can build and state the whole project so the function can be constructed using TypeScript, although we need to do extensive research first. I think your requirements are pretty much precise; I would only need to know the desired timeframes and any other further project details. I'm talking with the team in the meanwhile to produce a roadmap and some initial considerations in case you decide to choose us. Thanks in advance!
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$3,000 USD in 55 days
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