PreTENS - Presuppositional Acceptability
Judge the acceptability of sentences whose two nominal arguments are presupposed to stand (or not) in an ordered taxonomic relation. Includes a binary acceptable/unacceptable judgment and a 1-7 acceptability rating. Based on SemEval-2022 Task 3 (Zamparelli et al.).
Configuration Fileconfig.yaml
This Potato config reproduces the annotation task. Save it as config.yaml and run potato start config.yaml to try it.
# PreTENS - Presuppositional Acceptability
# Based on Zamparelli et al., SemEval 2022
# Paper: https://aclanthology.org/2022.semeval-1.29/
# Dataset: https://github.com/shammur/SemEval2022Task3
#
# This task asks annotators to judge whether a sentence is acceptable given the
# taxonomic relation presupposed between its two nominal arguments. Sentences use
# constructions (comparatives, exemplifications, generalizations) that presuppose
# one argument is a supercategory or subcategory of the other, e.g.
# "I like trees, and in particular birches" (acceptable) vs.
# "I like birches, and in particular trees" (unacceptable).
#
# Subtask 1 (binary): Acceptable vs. Unacceptable.
# Subtask 2 (regression): a 1-7 acceptability rating.
annotation_task_name: "PreTENS - Presuppositional Acceptability"
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: radio
name: acceptability
description: "Is this sentence acceptable?"
labels:
- "Acceptable"
- "Unacceptable"
keyboard_shortcuts:
"Acceptable": "1"
"Unacceptable": "2"
tooltips:
"Acceptable": "The taxonomic relation between the two arguments fits the construction (e.g. a subcategory exemplifies its supercategory)"
"Unacceptable": "The taxonomic relation is reversed or does not hold, making the sentence odd (e.g. a supercategory presented as an example of its subcategory)"
- annotation_type: likert
name: acceptability_rating
description: "How acceptable is this sentence?"
size: 7
min_label: "Not at all acceptable"
max_label: "Completely acceptable"
annotation_instructions: |
Each sentence relates two nominal arguments (e.g. "trees" and "birches") through a
construction such as a comparison, an exemplification, or a generalization. The
construction presupposes a taxonomic relation between the arguments -- typically that
one is a supercategory (superset) of the other.
- Acceptable: The presupposed taxonomic relation holds. For example, an exemplification
should introduce a subcategory of the more general term ("I like trees, and in
particular birches").
- Unacceptable: The relation is reversed or does not hold, so the sentence is odd
("I like birches, and in particular trees").
Judge acceptability of the meaning, not grammar. A grammatically correct sentence can
still be unacceptable. Then give an overall acceptability rating from 1 (not at all
acceptable) to 7 (completely acceptable).
html_layout: |
<div style="padding: 15px; max-width: 800px; margin: auto;">
<div style="background: #faf5ff; border: 1px solid #e9d5ff; border-radius: 8px; padding: 12px; margin-bottom: 12px;">
<strong style="color: #7e22ce;">Construction:</strong>
<span style="font-size: 15px; margin-left: 8px;">{{construction_type}}</span>
</div>
<div style="background: #f0f9ff; border: 1px solid #bae6fd; border-radius: 8px; padding: 16px; margin-bottom: 16px;">
<strong style="color: #0369a1;">Sentence:</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: 3
allow_skip: true
skip_reason_required: false
Sample Datasample-data.json
[
{
"id": "pretens_001",
"text": "I like trees, and in particular birches.",
"construction_type": "Exemplification"
},
{
"id": "pretens_002",
"text": "I like birches, and in particular trees.",
"construction_type": "Exemplification"
}
]
// ... 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/task03-pretens potato start config.yaml
Dataset & paper
Zamparelli et al., SemEval 2022
Citation (BibTeX)
@inproceedings{zamparelli-etal-2022-semeval,
title = "{S}em{E}val-2022 Task 3: {P}re{TENS}-Evaluating Neural Networks on Presuppositional Semantic Knowledge",
author = "Zamparelli, Roberto and Chowdhury, Shammur and Brunato, Dominique and Chesi, Cristiano and Dell{'}Orletta, Felice and Hasan, Md. Arid and Venturi, Giulia",
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",
url = "https://aclanthology.org/2022.semeval-1.29/",
doi = "10.18653/v1/2022.semeval-1.29",
pages = "228--238"
}Details
Annotation Types
Domain
Use Cases
Tags
Found an issue or want to improve this design?
Open an IssueRelated Designs
Assessing Humor in Edited News Headlines
Rate the funniness of edited news headlines on a 0-3 scale and judge which of two edited versions is funnier, based on SemEval-2020 Task 7 (Hossain et al.). Headlines are minimally edited by replacing a single word to create humorous effect.
Fine-Grained Sentiment Analysis on Financial Microblogs and News
Graded sentiment analysis of financial text with topic classification, rating market sentiment from very bearish to very bullish on a 7-point scale. Based on SemEval-2017 Task 5.
MTRAGEval: Evaluating Multi-Turn RAG Conversations
SemEval-2026 Task 8 (MTRAGEval): evaluating retrieval-augmented generation (RAG) in multi-turn conversations, built on the MTRAG benchmark. Given a conversation, the retrieved reference passages, and a system-generated response, annotators judge how faithful the response is to the passages, how well it answers the user's latest question, and whether it correctly handles unanswerable, underspecified, non-standalone, or unclear questions. The shared task covers retrieval (A), generation (B), and full RAG (C).