http://rdf.ncbi.nlm.nih.gov/pubchem/patent/EP-2915068-A2
Outgoing Links
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|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_a6057f460850d165d86761bad7b2a9b3 |
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F40-30 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F40-284 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F40-56 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F40-55 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F40-205 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F40-211 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F17-27 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F17-28 |
| filingDate | 2013-11-04-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_8d5ea81cccce217f0f0a04745f486d53 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_7075ae895b84f84482ab7674bdbf1f30 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_b515be790f9ec23b533e6787071f4d43 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_439e5bbf4adc1dc1c3bc15974ff87467 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_65ddf7214a7d15a3191b4e3e4f1b85c9 |
| publicationDate | 2015-09-09-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | EP-2915068-A2 |
| titleOfInvention | Natural language processing system and method |
| abstract | A natural language processing system is disclosed herein. Embodiments of die NLP system perform hand-written rule-based operations thai do not rely on a trained corpus. Rules can be added or modified at any time to improve accuracy of the system, and to allow the same system to operate on unstructured plain text from many disparate contexts (e.g. articles as well as twitter contexts as wei! as medical articles) without harming accuracy for any one context. Embodiments also include a language decoder (LD) that generates information which is stored in a three-level framework {word, clause, phrase). The LD output is easily leveraged by various software applications to analyze large quantities of text from any source in a mote sophisticated and flexible manner than previously possible. A query language (LDQL) for information extraction from NLP parsers' output is disclosed, with emphasis on on its embodiment, implemented for LD. it is also presented, how to use LDQL for knowledge extraction on the example of application named Knowledge Browser. |
| priorityDate | 2012-11-02-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
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|---|---|
| isDiscussedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID128841726 http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID10583 |
Total number of triples: 23.