Innoplexus Ag

Tanay Gahlot

Vatsal Agarwal

Gaurav Tripathi

Abhijit Keskar

Gunjan Bhardwaj

Tapashi Mandal

Sandeep Singh

Sunil Patel

Dhruv Shah

Disclosed is a system for comparing a plurality of documents, wherein each of the plurality of documents comprise one or more sentences the system comprises a lexicon ontology represented into multi-dimensional hierarchical space communicably coupled with a server arrangement. The server arrangement is configured to obtain the documents, tokenize, using a tokenizer module, the sentences in each of the documents to obtain a plurality of tokens for each of the documents, determine token coordinates of each of the tokens in the multi-dimensional hierarchical space representing the lexicon ontology, determine sentence coordinates for each of the sentences in the documents using a transmutation module, generate similarity scores for each of the sentences in the documents using a comparison module, and determine a measure of similarity between the documents based on the similarity scores of the sentences in the documents.

System and method for comparing plurality of documents

Disclosed is a system for context-based abbreviation disambiguation, the system comprising: an ontological databank represented into a multi-dimensional space, a synonym databank, a glossary databank, and a server arrangement. The server arrangement is configured to obtain a text comprising abbreviations and concept phrases, extract a target abbreviation from the abbreviations, obtain potential expansions for the target abbreviation, calculate a synonym match score for potential expansions, using synonyms of the potential expansions and the concept phrases, calculate a concept match score, using concepts relating to the potential expansions and the concept phrases, calculate a context match score for the potential expansions using a comparison module, and determine one of the potential expansions as a valid expansion of the target abbreviation based on at least one of the: synonym match score, concept match score and context match score.

System and method for context-based abbreviation disambiguation using machine learning on synonyms of abbreviation expansions

Disclosed is a system and method for determining an assessment value of a document related to a current research work of researcher(s) in drug discovery. Information pertaining to the document is processed to identify entities and semantic inter-relationships specific to the current research work. Information indicative of entities and semantic inter-relationships specific to a previous research work of the researcher(s) is accessed, and is compared with the entities and the semantic inter-relationships specific to the current research work to determine an association factor indicative of an extent of an association between the current research work and the previous research work of the researcher(s). Information indicative of entities and semantic inter-relationships related to the technical field of the current research work is accessed, and is compared with the entities and the semantic inter-relationships specific to the current research work to determine a status factor indicative of a novelty of the document with respect to the knowledge available publicly. The assessment value of the document is then determined based at least upon the association factor and the status factor. The assessment value may, for example, be determined in a crypto-currency for enabling future transactions of the document using a blockchain.

Assessment of documents related to drug discovery

A method and a system for extracting user-specific content. The method is executed by a processing module. Furthermore the method includes providing target data, generating hierarchical data structure of the target data, wherein hierarchical data structure includes one or more segments, determining an importance factor for each of the one or more segments using an algorithm, identifying one or more relevant segments based on the importance factor of each of the one or more segments, and compiling one or more relevant segments to obtain the user-specific content.

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Goa, India

Tanay Gahlot