Highlights

curl -X POST \
'https://staging.oneai.com/api/v0/pipeline' \
-H 'accept: application/json' \
-H 'Content-Type: application/json' \
-H 'api-key: <YOUR-API-KEY-HERE>' \
-d '{
    "input": "The technology can then accurately extract information and insights contained in the documents as well as categorize and organize the documents themselves. Challenges in natural language processing frequently involve speech recognition, natural language understanding, and natural language generation. Based on long-standing trends in the field, it is possible to extrapolate future directions of NLP. As of 2020, three trends among the topics of the long-standing series of CoNLL Shared Tasks can be observed: Interest on increasingly abstract, "cognitive" aspects of natural language, Increasing interest in multilinguality and Elimination of symbolic representations.",
    "steps": [
      {
        "skill": "highlights"
      }   
    ]
}'

const { OneAI } = require("oneai");

const oneai = new OneAI("<YOUR-API-KEY-HERE>");
const text = "The technology can then accurately extract information and insights contained in the documents as well as categorize and organize the documents themselves. Challenges in natural language processing frequently involve speech recognition, natural language understanding, and natural language generation. Based on long-standing trends in the field, it is possible to extrapolate future directions of NLP. As of 2020, three trends among the topics of the long-standing series of CoNLL Shared Tasks can be observed: Interest on increasingly abstract,\"cognitive\" aspects of natural language, Increasing interest in multilinguality and Elimination of symbolic representations.";
const pipeline = new oneai.Pipeline(
    oneai.skills.highlights(),
);

pipeline.run(text).then(console.log);

import oneai

oneai.api_key = "<YOUR-API-KEY-HERE>"
text = "The technology can then accurately extract information and insights contained in the documents as well as categorize and organize the documents themselves. Challenges in natural language processing frequently involve speech recognition, natural language understanding, and natural language generation. Based on long-standing trends in the field, it is possible to extrapolate future directions of NLP. As of 2020, three trends among the topics of the long-standing series of CoNLL Shared Tasks can be observed: Interest on increasingly abstract, "cognitive" aspects of natural language, Increasing interest in multilinguality and Elimination of symbolic representations."
pipeline = oneai.Pipeline(
  steps = [
        oneai.skills.Highlights(),
  ]
)

output = pipeline.run(text)

{
   "input_text":"The technology can then accurately extract information and insights contained in the documents as well as categorize and organize the documents themselves. Challenges in natural language processing frequently involve speech recognition, natural language understanding, and natural language generation. Based on long-standing trends in the field, it is possible to extrapolate future directions of NLP. As of 2020, three trends among the topics of the long-standing series of CoNLL Shared Tasks can be observed: Interest on increasingly abstract, cognitive aspects of natural language, Increasing interest in multilinguality and Elimination of symbolic representations.",
   "status":"success",
   "output":[
      {
         "text_generated_by_step_name":"input",
         "text_generated_by_step_id":0,
         "text":"The technology can then accurately extract information and insights contained in the documents as well as categorize and organize the documents themselves. Challenges in natural language processing frequently involve speech recognition, natural language understanding, and natural language generation. Based on long-standing trends in the field, it is possible to extrapolate future directions of NLP. As of 2020, three trends among the topics of the long-standing series of CoNLL Shared Tasks can be observed: Interest on increasingly abstract, cognitive aspects of natural language, Increasing interest in multilinguality and Elimination of symbolic representations.",
         "labels":[
            {
               "type":"highlight",
               "skill":"highlights",
               "value":"The technology can then accurately extract information and insights contained in the documents as well as categorize and organize the documents themselves.",
               "data":{
                  "score":"0.344"
               },
               "span_text":"The technology can then accurately extract information and insights contained in the documents as well as categorize and organize the documents themselves.",
               "span":[
                  0,
                  155
               ],
               "output_spans":[
                  {
                     "section":0,
                     "start":0,
                     "end":155
                  }
               ]
            },
            {
               "type":"highlight",
               "skill":"highlights",
               "value":"Challenges in natural language processing frequently involve speech recognition, natural language understanding, and natural language generation.",
               "data":{
                  "score":"0.442"
               },
               "span_text":"Challenges in natural language processing frequently involve speech recognition, natural language understanding, and natural language generation.",
               "span":[
                  156,
                  301
               ],
               "output_spans":[
                  {
                     "section":0,
                     "start":156,
                     "end":301
                  }
               ]
            }
         ]
      }
   ],
   "stats":{
      "concurrency_wait_time":0.0,
      "total_running_jobs":1,
      "total_waiting_jobs":0
   }
}

{
  text: 'The technology can then accurately extract information and insights contained in the documents as well as categorize and organize the documents themselves. Challenges in natural language processing frequently involve speech recognition, natural language understanding, and natural language generation. Based on long-standing trends in the field, it is possible to extrapolate future directions of NLP. As of 2020, three trends among the topics of the long-standing series of CoNLL Shared Tasks can be observed: Interest on increasingly abstract, "cognitive" aspects of natural language, Increasing interest in multilinguality and Elimination of symbolic representations.',
  highlights: [
    {
      type: 'highlight',
      skill: 'highlights',
      value: 'The technology can then accurately extract information and insights contained in the documents as well as categorize and organize the documents themselves.',
      data: { score: '0.344' },
      span_text: 'The technology can then accurately extract information and insights contained in the documents as well as categorize and organize the documents themselves.',
      span: [ 0, 155 ],
      output_spans: [ { section: 0, start: 0, end: 155 } ]
    },
    {
      type: 'highlight',
      skill: 'highlights',
      value: 'Challenges in natural language processing frequently involve speech recognition, natural language understanding, and natural language generation.',
      data: { score: '0.442' },
      span_text: 'Challenges in natural language processing frequently involve speech recognition, natural language understanding, and natural language generation.',
      span: [ 156, 301 ],
      output_spans: [ { section: 0, start: 156, end: 301 } ]
    }
  ]
}