m2_index.yml

This is the TSE-NER Labeller
Call this with a piece of text and NER model to get the labelled entities
---
tags:
  - Label Long-tail Entities
parameters:
  - name: text
    in: path
    type: string
    maxLength: 10000
    required: true
    description: The text that will be labelled by the model
  - name: model
    in: query
    type: string
    description: Selected model
responses:
  501:
    description: Error The model does not exist!
  502:
    description: Error Input text is too long!
  200:
    description: Entities from text
    schema:
      id: labelling
      properties:
        text:
          type: string
          description: The text that will be labelled by the model
          default: In this work, we evaluate our algorithm using the Imagenet corpus, as well as Flickr
        model:
          type: string
          description: The selected model
          default: dataset_TSE_model_5
        entities:
          type: array
          description: Labelled entities
          items:
            type: string
          default: ["imagenet", "flickr"]