CODWOE - Comparing Dictionaries and Word Embeddings
Definition modeling for words in context, adapting SemEval-2022 Task 1 (CODWOE), which compared dictionary definitions with distributional word representations across two subtasks: definition modeling (embedding to definition) and reverse dictionary (definition to embedding). Based on Mickus et al.
Get This Design
Clone or download from the repository
Quick start:
git clone https://github.com/davidjurgens/potato-showcase.git
cd potato-showcase/semeval/2022/task01-codwoe
potato start config.yamlConfiguration File
This Potato config reproduces the annotation task. Save it as config.yaml and run potato start config.yaml to try it.
# CODWOE - Comparing Dictionaries and Word Embeddings
# Based on Mickus et al., SemEval 2022
# Paper: https://aclanthology.org/2022.semeval-1.1/
# Dataset: https://codwoe.atilf.fr/
#
# CODWOE (SemEval-2022 Task 1) compared dictionaries and word embeddings
# through two automatic subtasks: definition modeling (generate a definition
# from a word embedding) and reverse dictionary (generate an embedding from a
# definition). Neither is directly human-annotatable, so this Potato design
# adapts the definition-modeling direction into a human writing task and
# grounds a companion judgment in the reverse-dictionary direction.
#
# This task asks annotators to (1) write a definition for a target word based
# on the context in which it appears (definition modeling), and (2) judge how
# uniquely that word could be recovered from a definition alone (reverse
# dictionary difficulty).
#
# Recoverability Labels:
# - Easily identifiable: The definition points clearly to this exact word
# - Somewhat ambiguous: The definition could fit a few related words
# - Highly ambiguous: The definition could describe many different words
annotation_task_name: "CODWOE - Comparing Dictionaries and Word Embeddings"
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: definition
description: "Write a definition for the target word as used in this context"
- annotation_type: radio
name: recoverability
description: "If given only your definition, how uniquely could the target word be recovered?"
labels:
- "Easily identifiable"
- "Somewhat ambiguous"
- "Highly ambiguous"
keyboard_shortcuts:
"Easily identifiable": "1"
"Somewhat ambiguous": "2"
"Highly ambiguous": "3"
tooltips:
"Easily identifiable": "The definition points clearly to this exact target word"
"Somewhat ambiguous": "The definition could plausibly fit a few closely related words"
"Highly ambiguous": "The definition could describe many different words"
annotation_instructions: |
This task adapts SemEval-2022 Task 1 (CODWOE), which paired definition
modeling with a reverse-dictionary subtask. You will see a sentence with a
target word and the language of the text.
1. Read the sentence and identify the target word.
2. Write a clear, concise definition for the target word as it is used in this
context (definition modeling).
3. Judge how uniquely the target word could be recovered from your definition
alone (reverse-dictionary difficulty).
html_layout: |
<div style="padding: 15px; max-width: 800px; margin: auto;">
<div style="display: flex; gap: 12px; margin-bottom: 12px;">
<div style="background: #ecfdf5; border: 1px solid #a7f3d0; border-radius: 8px; padding: 12px; flex: 1;">
<strong style="color: #065f46;">Language:</strong>
<span style="font-size: 15px; margin-left: 8px;">{{language}}</span>
</div>
<div style="background: #fef3c7; border: 1px solid #fde68a; border-radius: 8px; padding: 12px; flex: 1;">
<strong style="color: #92400e;">Target Word:</strong>
<span style="font-size: 15px; font-weight: bold; margin-left: 8px;">{{target_word}}</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
Sample Data
[
{
"id": "codwoe_001",
"text": "The architect presented her vision for a sustainable bridge that would connect the two neighborhoods across the river.",
"target_word": "bridge",
"language": "English"
},
{
"id": "codwoe_002",
"text": "After years of conflict, the treaty served as a bridge between the two nations, fostering mutual understanding and cooperation.",
"target_word": "bridge",
"language": "English"
}
]
// ... and 8 more itemsGet This Design
Clone or download from the repository
Quick start:
git clone https://github.com/davidjurgens/potato-showcase.git
cd potato-showcase/semeval/2022/task01-codwoe
potato start config.yamlDataset & paper
Mickus et al., SemEval 2022
Citation (BibTeX)
@inproceedings{mickus-etal-2022-semeval,
title = "{S}emeval-2022 Task 1: {CODWOE} {--} Comparing Dictionaries and Word Embeddings",
author = "Mickus, Timothee and Van Deemter, Kees and Constant, Mathieu and Paperno, Denis",
booktitle = "Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)",
month = jul,
year = "2022",
address = "Seattle, United States",
publisher = "Association for Computational Linguistics",
pages = "1--14",
doi = "10.18653/v1/2022.semeval-1.1",
url = "https://aclanthology.org/2022.semeval-1.1"
}Details
Annotation Types
Domain
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