Skip to content
Showcase/Hypernym Discovery
intermediatetext

Hypernym Discovery

Discovery of hypernyms (broader terms) for a given target term in context, with classification of the hypernym relationship type. Based on SemEval-2018 Task 9.

Submit

配置文件config.yaml

# Hypernym Discovery
# Based on Camacho-Collados et al., SemEval 2018
# Paper: https://aclanthology.org/S18-1115/
# Dataset: https://competitions.codalab.org/competitions/17119
#
# This task asks annotators to identify the hypernym (broader/parent term)
# of a target term given its usage in context. Annotators also classify
# whether the hypernym relation is for an entity, concept, or both.
#
# Hypernym Type Labels:
# - Entity: The target term refers to a named entity (person, place, organization)
# - Concept: The target term refers to a general concept or class
# - Both: The target term can be interpreted as both entity and concept

annotation_task_name: "Hypernym Discovery"
task_dir: "."

data_files:
  - sample-data.json

item_properties:
  id_key: "id"
  text_key: "text"

output_annotation_dir: "annotation_output/"
output_annotation_format: "json"

port: 8000
server_name: localhost

annotation_schemes:
  - annotation_type: text
    name: hypernym
    description: "What is the hypernym (broader/parent term) of the target term?"

  - annotation_type: radio
    name: hypernym_type
    description: "Is the target term an entity, a concept, or both?"
    labels:
      - "Entity"
      - "Concept"
      - "Both"
    keyboard_shortcuts:
      "Entity": "1"
      "Concept": "2"
      "Both": "3"
    tooltips:
      "Entity": "The target term is a named entity (person, place, organization)"
      "Concept": "The target term is a general concept, class, or category"
      "Both": "The target term can be interpreted as both an entity and a concept"

annotation_instructions: |
  You will be shown a sentence containing a target term (highlighted) along with its domain.
  Your task is to:
  1. Identify the hypernym (broader/parent category) of the target term.
  2. Classify whether the target is an entity, concept, or both.
  For example, the hypernym of "dog" is "animal", and the hypernym of "Paris" is "city".

html_layout: |
  <div style="padding: 15px; max-width: 800px; margin: auto;">
    <div style="display: flex; gap: 12px; margin-bottom: 12px;">
      <div style="background: #fefce8; border: 1px solid #fde68a; border-radius: 8px; padding: 12px; flex: 1;">
        <strong style="color: #a16207;">Target Term:</strong>
        <span style="font-size: 15px; font-weight: bold;">{{target_term}}</span>
      </div>
      <div style="background: #f0fdf4; border: 1px solid #bbf7d0; border-radius: 8px; padding: 12px; flex: 1;">
        <strong style="color: #15803d;">Domain:</strong>
        <span style="font-size: 15px;">{{domain}}</span>
      </div>
    </div>
    <div style="background: #f0f9ff; border: 1px solid #bae6fd; border-radius: 8px; padding: 16px; margin-bottom: 16px;">
      <strong style="color: #0369a1;">Context:</strong>
      <p style="font-size: 16px; line-height: 1.7; margin: 8px 0 0 0;">{{text}}</p>
    </div>
  </div>

allow_all_users: true
instances_per_annotator: 50
annotation_per_instance: 2
allow_skip: true
skip_reason_required: false

示例数据sample-data.json

[
  {
    "id": "hypernym_001",
    "text": "The python is one of the largest snakes found in tropical regions of Asia and Africa.",
    "target_term": "python",
    "domain": "Biology"
  },
  {
    "id": "hypernym_002",
    "text": "Researchers used a convolutional neural network to classify satellite images for land use detection.",
    "target_term": "convolutional neural network",
    "domain": "Computer Science"
  }
]

// ... and 8 more items

获取此设计

View on GitHub

Clone or download from the repository

快速开始:

git clone https://github.com/davidjurgens/potato-showcase.git
cd potato-showcase/semeval/2018/task09-hypernym-discovery
potato start config.yaml

详情

标注类型

textradio

领域

SemEvalNLPLexical SemanticsTaxonomy

应用场景

Hypernym DiscoveryTaxonomy ConstructionLexical Semantics

标签

semevalsemeval-2018shared-taskhypernymtaxonomylexical-semanticsword-relations

发现问题或想改进此设计?

提交 Issue