Apache OpenNLP Named Entity Recognition API

The Named Entity Recognition API from Apache OpenNLP — 1 operation(s) for named entity recognition.

Operations 1

POST /ner Apache OpenNLP Find Named Entities #

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OpenAPI Specification

apache-opennlp-named-entity-recognition-api-openapi.yml Raw ↑
openapi: 3.2.0
info:
  title: Apache OpenNLP Tools Chunking Named Entity Recognition API
  description: Apache OpenNLP is a machine learning based toolkit for processing natural language text, supporting tokenization, sentence segmentation, POS tagging, named entity extraction, chunking, parsing, and coreference resolution. This API represents the REST-accessible surface of the OpenNLP toolkit.
  version: 2.5.8
  license:
    name: Apache 2.0
    url: https://www.apache.org/licenses/LICENSE-2.0
  contact:
    url: https://opennlp.apache.org/
servers:
- url: https://{host}/opennlp
  description: Apache OpenNLP REST service
  variables:
    host:
      default: localhost:8080
tags:
- name: Named Entity Recognition
paths:
  /ner:
    post:
      operationId: findNamedEntities
      summary: Apache OpenNLP Find Named Entities
      description: Detect and classify named entities (persons, locations, organizations, dates) in tokenized text.
      tags:
      - Named Entity Recognition
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/TokensRequest'
      responses:
        '200':
          description: Named entity recognition result
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/NERResult'
      x-microcks-operation:
        delay: 0
        dispatcher: FALLBACK
components:
  schemas:
    NERResult:
      type: object
      properties:
        entities:
          type: array
          items:
            $ref: '#/components/schemas/NamedEntity'
    TokensRequest:
      type: object
      required:
      - tokens
      properties:
        tokens:
          type: array
          items:
            type: string
          description: Pre-tokenized array of text tokens
          example:
          - Pierre
          - Vinken
          - will
          - join
          - the
          - board
        language:
          type: string
          description: ISO-639-3 language code
          example: eng
    NamedEntity:
      type: object
      properties:
        text:
          type: string
          description: Entity text
          example: Pierre Vinken
        type:
          type: string
          description: Entity type
          example: person
          enum:
          - person
          - location
          - organization
          - date
          - time
          - money
          - percent
          - misc
        start:
          type: integer
          description: Start token index
          example: 0
        end:
          type: integer
          description: End token index (exclusive)
          example: 2
        probability:
          type: number
          description: Confidence score
          example: 0.95
x-generated-from: documentation