Search Results for author:
Found 11 papers, 2 papers with code
Narrative Theory for Computational Narrative Understanding
Over the past decade, the field of natural language processing has developed a wide array of computational methods for reasoning about narrative, including summarization, commonsense inference, and event detection.
Measuring the Effects of Bias in Training Data for Literary Classification
In this work, we create an experimental framework to measure the effects of different types of stylistic and social bias within training data for the purposes of literary classification, as one important subclass of cultural material.
The COVID That Wasn’t: Counterfactual Journalism Using GPT
In this paper, we explore the use of large language models to assess human interpretations of real world events.
The Detection and Understanding of Fictional Discourse
In this paper, we present a variety of classification experiments related to the task of fictional discourse detection.
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.
The COVID That Wasn't: Counterfactual Journalism Using GPT
In this paper, we explore the use of large language models to assess human interpretations of real world events.
``Are you kidding me?'': Detecting Unpalatable Questions on Reddit
Abusive language in online discourse negatively affects a large number of social media users.
The Scientization of Literary Study
We show evidence for {``}scientization{''} effects in literary studies, though at a more muted level than scientific English, suggesting that literary studies occupies a middle ground with respect to standard English in the larger space of academic disciplines.
Annotating Characters in Literary Corpora: A Scheme, the CHARLES Tool, and an Annotated Novel
To address the latter problem, this work presents three contributions: (1) a comprehensive scheme for manually resolving mentions to characters in texts.
