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@owendall
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Hi,
So glad to see a node interface to CoreNLP.
As I am new to working with this API, I am wondering the best practices with starting from a document and working through sentences.
Suggestions for enhancing the following code and links to any examples would be much appreciated!
// 2017年11月25日 learning corenlp v1.1.8 // The coreNLP server is a Docker image mapped to port 9000 require("babel-polyfill"); // Need this polyfill even if you are not using async/await. // I received this error in both node.js 7.8.0 and node.js 8.5.0: //------ /Users/owendall/Desktop/github-applications/ai/core-nlp-test/node_modules/corenlp/dist/pipeline.js:139 //----- var _ref = _asyncToGenerator(regeneratorRuntime.mark(function _callee(annotable) { //----- ReferenceError: regeneratorRuntime is not defined const corenlp = require("corenlp"); const coreNLP = corenlp.default; // convenient when not using `import` const connector = new corenlp.ConnectorServer({ dsn: 'http://localhost:9000', }); // initialize the pipeline and document to annotate const props = new corenlp.Properties({ annotators: 'ssplit,tokenize,pos,ner,parse' }); const pipeline = new corenlp.Pipeline(props, 'English', connector); console.log("Pipeline Details: ",JSON.stringify(pipeline, null,2));// Let's look at the internals const doc = new coreNLP.simple.Document( 'I live on the river, close to the river bank. I had an old boat on the river. I used the boat on the river every day.' ); console.log(JSON.stringify(doc,null,2)); pipeline.annotate(doc) .then(function(doc) { var sentenceArray = doc.sentences(); console.log("Found "+ sentenceArray.length + " sentences"); console.log("sentenceArray: ",JSON.stringify(sentenceArray,null,2)); sentenceArray.map(function(sentence){ console.log("Sentence: ", sentence) }); }) .catch(function(err) { console.log('err', err); });