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License: Apache License 2.0
Natural Language Interface to DataBases
License: Apache License 2.0
TODO: 1. update frontend manifest
Store a sample of database rows in the schema graph, and map the value nodes by searching over these values.
move from manual server deployment to ecs or eb after they've upgraded their docker version to support multi-stage build
Downloading the stanford core-nlp model takes some time...
NullPointerException at WordNet.java line 123
for (String value : schema.getValues(tableName, colName)) { if (word == null || value == null) { System.out.println("Comparing "+word+" and "+value); System.out.println("In table "+tableName+", column "+colName); } valueNodes.add(new NodeInfo("VN", tableName+"."+colName, WordSimilarity.getSimilarity(word, value, wordNet))); //add every sample value into valueNodes }
even if we have 2K of elements for the table/column pair the similarity score of only the first value is taken into account that couldn't be the best one, that happens due to the how equals/hash code functions for NodeInfo are defined
First we're gonna add members to our organization.
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