Multimodal Emotion Cause Analysis

# Multimodal Emotion Cause Analysis
# Based on Wang et al., SemEval 2024
# Paper: https://aclanthology.org/volumes/2024.semeval-1/
# Dataset: https://github.com/SemEval/semeval-2024-task3
#
# This task asks annotators to identify emotion expressions and their
# causal utterances within conversational dialogue. Annotators also
# classify the primary emotion of the target utterance.

annotation_task_name: "Multimodal Emotion Cause Analysis"
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: span
    name: emotion_cause_spans
    description: "Highlight the emotion expression and the utterance that caused it."
    labels:
      - "Emotion Expression"
      - "Cause Utterance"

  - annotation_type: radio
    name: emotion_type
    description: "What is the primary emotion expressed in the target utterance?"
    labels:
      - "Happiness"
      - "Sadness"
      - "Anger"
      - "Surprise"
      - "Disgust"
      - "Fear"
      - "Neutral"
    keyboard_shortcuts:
      "Happiness": "1"
      "Sadness": "2"
      "Anger": "3"
      "Surprise": "4"
      "Disgust": "5"
      "Fear": "6"
      "Neutral": "7"
    tooltips:
      "Happiness": "Joy, delight, satisfaction, or amusement"
      "Sadness": "Grief, sorrow, disappointment, or melancholy"
      "Anger": "Frustration, irritation, rage, or hostility"
      "Surprise": "Astonishment, shock, or unexpectedness"
      "Disgust": "Revulsion, contempt, or strong disapproval"
      "Fear": "Anxiety, worry, dread, or apprehension"
      "Neutral": "No clear emotional expression"

annotation_instructions: |
  You will be shown a dialogue utterance with its speaker and conversation context. Your task is to:
  1. Read the utterance and surrounding context.
  2. Highlight the span that expresses the emotion and the span that caused it.
  3. Classify the primary emotion in the target utterance.

html_layout: |
  <div style="padding: 15px; max-width: 800px; margin: auto;">
    <div style="background: #eff6ff; border: 1px solid #bfdbfe; border-radius: 8px; padding: 12px; margin-bottom: 12px;">
      <strong style="color: #1e40af;">Conversation Context:</strong>
      <p style="font-size: 14px; line-height: 1.6; margin: 8px 0 0 0; color: #475569;">{{conversation_context}}</p>
    </div>
    <div style="background: #f0f9ff; border: 1px solid #bae6fd; border-radius: 8px; padding: 16px; margin-bottom: 16px;">
      <strong style="color: #0369a1;">{{speaker}} says:</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