Platform For AI:Text labeling templates

Supported templates

Named Entity Recognition

Named Entity Recognition (NER) involves selecting and labeling specific spans of text.

• Use cases

  Identify key terms in product descriptions or news articles.

• Data structure

  • Input data

    Each line in the manifest file represents one data item and contains a source field.

    {"data":{"source":"Alibaba acquired Vendio and Auctiva, two e-commerce solution providers for small businesses in the United States. In the same month, the Mobile Taobao app was launched."}}
    ...

  • Output data

    Each line in the manifest file contains the source data and the labeling result.

    {
        "data": {
            "source": "Alibaba acquired Vendio and Auctiva, two e-commerce solution providers for small businesses in the United States. In the same month, the Mobile Taobao app was launched."
        }, 
        "label-1430082002522152960": {
            "results": [
                {
                    "objects": [
                        {
                            "result": {
                                "Text Content": [
                                    "Label 1"
                                ]
                            }, 
                            "color": null, 
                            "id": null, 
                            "text": "Recognized text 1", 
                            "start": 49, 
                            "end": 51
                        }, 
                        {
                            "result": {
                                "Text Content": [
                                    "Label 2", 
                                    "Label 3"
                                ]
                            }, 
                            "color": null, 
                            "id": null, 
                            "text": "Recognized text 2", 
                            "start": 34, 
                            "end": 40
                        }
                    ], 
                    "empty": false
                }
            ]
        }
    }

Text classification

Text classification assigns one or more predefined labels to a text segment. This template supports both single-label and multi-label classification.

• Use cases

  News recommendation, knowledge management, and spam filtering.

• Data structure

  • Input data

    Each line in the manifest file represents one data item and contains a source field.

    {"data":{"source":"Alibaba changed the name of its Chinese trading market to \"1688\". In the same month, Taobao launched the group-buying website Juhuasuan."}}
    ...

  • Output data

    Each line in the manifest file contains the source data and the labeling result.

    {
        "data": {
            "source": "Alibaba changed the name of its Chinese trading market to \"1688\". In the same month, Taobao launched the group-buying website Juhuasuan."
        }, 
        "label-1432989439570944000": {
            "results": [
                {
                    "questionId": "2", 
                    "data": [
                        "Label 2", 
                        "Label 1"
                    ], 
                    "markTitle": "Multiple-choice", 
                    "type": "survey/multivalue"
                }
            ]
        }
    }

Entity relationship

Entity relationship labeling, also called triple extraction, labels relationships between entities to build knowledge graphs.

• Use cases

  Build knowledge graphs.

• Data structure

  • Input data

    Each line in the manifest file represents one data item and contains a source field.

    {"data":{"source":"Alibaba changed the name of its Chinese trading market to \"1688\". In the same month, Taobao launched the group-buying website Juhuasuan."}}
    ...

  • Output data

    Each line in the manifest file contains the source data and the labeling result.

    {
        "data": {
            "source": "Alibaba changed the name of its Chinese trading market to \"1688\". In the same month, Taobao launched the group-buying website Juhuasuan."
        }, 
        "label-1435488346167255040": {
            "results": [
                {
                    "objects": [
                        {
                            "result": {
                                "Multiple-choice": [
                                    "Label 3"
                                ]
                            }, 
                            "color": null, 
                            "id": null, 
                            "text": "group-buying website", 
                            "start": 32, 
                            "end": 35
                        }, 
                        {
                            "result": {
                                "Multiple-choice": [
                                    "Label 2"
                                ]
                            }, 
                            "color": null, 
                            "id": null, 
                            "text": "1688", 
                            "start": 18, 
                            "end": 21
                        }, 
                        {
                            "result": {
                                "Multiple-choice": [
                                    "Label 1"
                                ]
                            }, 
                            "color": null, 
                            "id": null, 
                            "text": "trading market", 
                            "start": 9, 
                            "end": 12
                        }
                    ], 
                    "empty": false
                }, 
                [
                    {
                        "result": {
                            "Single-choice": "Label 4"
                        }, 
                        "from": {
                            "x": -225, 
                            "y": -126, 
                            "start": 9, 
                            "end": 12, 
                            "text": "trading market"
                        }, 
                        "to": {
                            "x": -233, 
                            "y": 75, 
                            "start": 18, 
                            "end": 21, 
                            "text": "1688"
                        }
                    }, 
                    {
                        "result": {
                            "Single-choice": "Label 6"
                        }, 
                        "from": {
                            "x": -225, 
                            "y": -126, 
                            "start": 9, 
                            "end": 12, 
                            "text": "trading market"
                        }, 
                        "to": {
                            "x": 24, 
                            "y": -93, 
                            "start": 32, 
                            "end": 35, 
                            "text": "group-buying website"
                        }
                    }, 
                    {
                        "result": {
                            "Single-choice": "Label 4"
                        }, 
                        "from": {
                            "x": -233, 
                            "y": 75, 
                            "start": 18, 
                            "end": 21, 
                            "text": "1688"
                        }, 
                        "to": {
                            "x": 24, 
                            "y": -93, 
                            "start": 32, 
                            "end": 35, 
                            "text": "group-buying website"
                        }
                    }
                ]
            ]
        }
    }