m1_index.yml

This is the TSE-NER model training
Call this with the required parameters to train a model
---
tags:
  - Train NER Model
parameters:
  - name: model_name
    in: path
    type: string
    required: true
    description: The name of the model, it should be a representative name for the type of entity
  - name: cycles
    in: query
    type: integer
    description: Number of training cycles required
  - name: seeds
    in: query
    type: array
    items:
      type: string
      example: ["webkb", "imagenet"]
    description: Set of seed words to start the training process
  - name: context_words
    in: query
    type: array
    items:
      type: string
      example: ["corpus", "collection"]
    description: Set of terms that are usually in the same sentence as current entities
  - name: sentence_expansion
    in: query
    type: boolean
    description: Execute or not sentence expansion
  - name: filter_pmi
    in: query
    type: boolean
    description: Execute or not PMI filtering
  - name: filter_st
    in: query
    type: boolean
    description: Execute or not Similar Term filtering
  - name: filter_ws
    in: query
    type: boolean
    description: Execute or not WordNet + Stopword filtering
  - name: filter_kbl
    in: query
    type: boolean
    description: Execute or not Knolwedge Base (DBpedia) Lookup filtering
responses:
  500:
    description: Error Configuration is not correct
  200:
    description: Training is in process
    schema:
      id: training
      properties:
        name:
          type: string
          description: Model name
          default: dataset
        model:
          type: string
          description: The selected model
          default: dataset_TSE_model_5
        entities:
          type: array
          description: Labelled entities
          items:
            type: string
          default: ["imagenet", "flickr"]