Guide to: Running a Text Relationship Job

Overview 

The Text Relationship tool allows users to create a job that annotates relationships between spans of text with a custom ontology. 

Glossary 

• Span - a string of text with an assigned class label; the output of a model or contributor judgment.
• Relationship - consists of two spans (from a span and to a span) and the relation between them.
• Relation - the name/type of the relation between two spans as defined in the job's ontology.
• From span - the starting span in a relationship
• To span - the ending span in a relationship

Upload Data

The source data of a Text Relationship job can come from two different sources:

• The output of a previous text annotation job on the Appen platform
  • The output of a previously ran text annotation job on the Appen platform can be uploaded to a text relationship job directly without any modification.
• Data created externally
  • A source file containing data created externally can be uploaded to a text relationship job, but an identical JSON format (hosted in a URL and a CORS configured bucket) as the output of a text annotation job on the Appen platform will be required.

Note: There is an example file attached below on how to format source data.

Build a Job

Parameters

Below are the parameters available for the text relationship tool. Some are required in the element, some can be left out.

• source-data (required)
  • The name of the source data column containing the data to be annotated
• name (required)
  • The result header where the result links will be stored
• context-column(optional)
  • The name of the source data column containing the context of each data row
• review-data (optional)
  • The name of the source data column containing pre-annotated text relationships
• task-type (optional)
  • Please set task-type=”qa” when designing a review or QA job. This parameter needs to be used in conjunction with review-data . See this article for more details.

Ontology

• The Ontology Manager allows job owners to create and edit the ontology within a Text Relationship job. Text Relationship Jobs require an ontology to launch.
• When the CML for a text relationship job is saved, the Ontology Manager link will appear at the top right of the Design page.
• The ontology of Text Relationship jobs allows you to create relationship restrictions to each span class.
• The ontology of a Text Relationships job can be copied from a Text Annotation job or another Text Relationships job, via download and upload.

 

Figure 2: Ontology Manager for Text Relationship 

Ontology Manager Best Practices 

• The limit of ontology is 1,000 classes, however, as best practice, we recommend not exceeding 16 classes in a job to ensure contributors can understand and process the different classes. 
• Choose from 16 colors pre-selected or upload custom colors as hex code via the CSV ontology upload.

Important Note: If there is no relationship restriction defined to a class, the class will not able to relate to any other classes in the job.

Results

• Results are links to a JSON file that contains a list of relationships.
• The links are found in the Full or Aggregated report under the column header that was specified as the value for the name attribute.
• Result links will expire 15 days after generation; to access results after the links have expired, you will need to re-generate the result report.
• Each relationship instance is an array of five attributes:
  • id: the unique ID of each relationship instance
  • name: the class name of the relation
  • from_span: contains the details of from_span
  • to_span: contains the details of to_span
  • annotated_by: indicates whether a relationship instance is pre-loaded into the job or manually added by an annotator
• Below is an example of result JSON
  

[

  {

   "id": "ec9a7581-970b-42b3-a0c9-45fac8dfeb2e",

   "name": "sells",

   "from_span": {

   "id": "f048c11b-4f7d-40d9-984d-89c1f5f6a1fa",

   "classnames": ["Company"],

   "tokens": [

    {

     "id": "8f3afc82-6c20-4a33-87ed-ad4298c1fb73",

     "text": "Nike",

     "startIdx": 0,

     "endIdx": 3

     }

   ],

   "annotated_by": "human"

  },

  "to_span": {

  "id": "7b860a72-4991-419e-a46e-c722bb85d6d6",

  "classnames": ["Product"],

  "tokens": [

    {

     "id": "f94e3afd-1528-4422-9535-a488d4e71a6d",

     "text": "Air",

     "startIdx": 5,

     "endIdx": 7

    },

    {

     "id": "2c58bf8e-f2aa-402e-b95a-b4827217b37c",

     "text": "Max",

     "startIdx": 9,

     "endIdx": 11

    }

  ],

  "annotated_by": "human"

  },

 ...

]