Mathdial: A dialogue tutoring dataset with rich pedagogical properties grounded in math reasoning problems
While automatic dialogue tutors hold great potential in making education personalized and
more accessible, research on such systems has been hampered by a lack of sufficiently …
more accessible, research on such systems has been hampered by a lack of sufficiently …
Impressions: Visual semiotics and aesthetic impact understanding
Is aesthetic impact different from beauty? Is visual salience a reflection of its capacity for
effective communication? We present Impressions, a novel dataset through which to …
effective communication? We present Impressions, a novel dataset through which to …
Impressions: Understanding Visual Semiotics and Aesthetic Impact
Is aesthetic impact different from beauty? Is visual salience a reflection of its capacity for
effective communication? We present Impressions, a novel dataset through which to …
effective communication? We present Impressions, a novel dataset through which to …
ACLSum: A New Dataset for Aspect-based Summarization of Scientific Publications
Extensive efforts in the past have been directed toward the development of summarization
datasets. However, a predominant number of these resources have been (semi) …
datasets. However, a predominant number of these resources have been (semi) …
Reproduction of human evaluations in:“it's not rocket science: Interpreting figurative language in narratives”
S Mahamood - Proceedings of the 3rd Workshop on Human …, 2023 - aclanthology.org
We describe in this paper an attempt to reproduce some of the human of evaluation results
from the paper “It's not Rocket Science: Interpreting Figurative Language in Narratives”. In …
from the paper “It's not Rocket Science: Interpreting Figurative Language in Narratives”. In …
The Perspectivist Paradigm Shift: Assumptions and Challenges of Capturing Human Labels
E Fleisig, SL Blodgett, D Klein, Z Talat - arXiv preprint arXiv:2405.05860, 2024 - arxiv.org
Longstanding data labeling practices in machine learning involve collecting and
aggregating labels from multiple annotators. But what should we do when annotators …
aggregating labels from multiple annotators. But what should we do when annotators …
From Random to Informed Data Selection: A Diversity-Based Approach to Optimize Human Annotation and Few-Shot Learning
A major challenge in Natural Language Processing is obtaining annotated data for
supervised learning. An option is the use of crowdsourcing platforms for data annotation …
supervised learning. An option is the use of crowdsourcing platforms for data annotation …