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Found 19 papers, 9 papers with code
Narrative Datasets through the Lenses of NLP and HCI
In this short paper, we compare existing value systems and approaches in NLP and HCI for collecting narrative data.
‘Tecnologica cosa’: Modeling Storyteller Personalities in Boccaccio’s ‘Decameron’
We explore Boccaccio’s Decameron to see how digital humanities tools can be used for tasks that have limited data in a language no longer in contemporary use: medieval Italian.
Provocations from the Humanities for Generative AI Research
This paper presents a set of provocations for considering the uses, impact, and harms of generative AI from the perspective of humanities researchers.
Automatic Detection of Research Values from Scientific Abstracts Across Computer Science Subfields
Based on the scheme, we build value classifiers to scale up the analysis and present a systematic study over 226, 600 paper abstracts from 32 CS-related subfields and 86 popular publishing venues over ten years.
LLMs as Research Tools: A Large Scale Survey of Researchers' Usage and Perceptions
The rise of large language models (LLMs) has led many researchers to consider their usage for scientific work.
CulturalBench: a Robust, Diverse and Challenging Benchmark on Measuring the (Lack of) Cultural Knowledge of LLMs
Nonetheless, all models consistently underperform on questions related to South America and the Middle East.
Trust No Bot: Discovering Personal Disclosures in Human-LLM Conversations in the Wild
Measuring personal disclosures made in human-chatbot interactions can provide a better understanding of users' AI literacy and facilitate privacy research for large language models (LLMs).
Sonnet or Not, Bot? Poetry Evaluation for Large Models and Datasets
Large language models (LLMs) can now generate and recognize poetry.
CulturalTeaming: AI-Assisted Interactive Red-Teaming for Challenging LLMs' (Lack of) Multicultural Knowledge
Our study reveals that CulturalTeaming's various modes of AI assistance support annotators in creating cultural questions, that modern LLMs fail at, in a gamified manner.
The Afterlives of Shakespeare and Company in Online Social Readership
Meanwhile, the digitization of the lending library records of Shakespeare and Company provides a window into the reading activity of an earlier, smaller community in interwar Paris.
NLP for Maternal Healthcare: Perspectives and Guiding Principles in the Age of LLMs
Ethical frameworks for the use of natural language processing (NLP) are urgently needed to shape how large language models (LLMs) and similar tools are used for healthcare applications.
Riveter: Measuring Power and Social Dynamics Between Entities
Riveter provides a complete easy-to-use pipeline for analyzing verb connotations associated with entities in text corpora.
Where Do People Tell Stories Online? Story Detection Across Online Communities
Story detection in online communities is a challenging task as stories are scattered across communities and interwoven with non-storytelling spans within a single text.
Personalized Jargon Identification for Enhanced Interdisciplinary Communication
We collect a dataset of over 10K term familiarity annotations from 11 computer science researchers for terms drawn from 100 paper abstracts.
Sensemaking About Contraceptive Methods Across Online Platforms
Selecting a birth control method is a complex healthcare decision.
Heroes, Villains, and Victims, and GPT-3: Automated Extraction of Character Roles Without Training Data
This paper shows how to use large-scale pre-trained language models to extract character roles from narrative texts without training data.
Tecnologica cosa: Modeling Storyteller Personalities in Boccaccio's Decameron
We explore Boccaccio's Decameron to see how digital humanities tools can be used for tasks that have limited data in a language no longer in contemporary use: medieval Italian.
Bad Seeds: Evaluating Lexical Methods for Bias Measurement
A common factor in bias measurement methods is the use of hand-curated seed lexicons, but there remains little guidance for their selection.
Evaluating the Stability of Embedding-based Word Similarities
Word embeddings are increasingly being used as a tool to study word associations in specific corpora.
