1 code implementation • 13 Feb 2023 • Melissa Roemmele, Kyle Shaffer, Katrina Olsen, Yiyi Wang, Steve DeNeefe
The dataset captures passage-level alignments between the original and abridged texts.
1 code implementation • 8 Jul 2021 • Melissa Roemmele
We find that human-authored sentences were judged as more storiable when authors observed the generated examples, and that storiability increased as authors derived more semantic content from the examples.
1 code implementation • EACL 2021 • Melissa Roemmele, Deep Sidhpura, Steve DeNeefe, Ling Tsou
One strategy for facilitating reading comprehension is to present information in a question-and-answer format.
no code implementations • WS 2019 • Melissa Roemmele
As with many text generation tasks, the focus of recent progress on story generation has been in producing texts that are perceived to {``}make sense{''} as a whole.
no code implementations • WS 2018 • Melissa Roemmele, Andrew Gordon
We examine an emerging NLP application that supports creative writing by automatically suggesting continuing sentences in a story.
no code implementations • WS 2018 • Melissa Roemmele, Andrew Gordon
We address the task of predicting causally related events in stories according to a standard evaluation framework, the Choice of Plausible Alternatives (COPA).
no code implementations • WS 2017 • Melissa Roemmele, Paola Mardo, Andrew Gordon
Obsessive-compulsive disorder (OCD) is an anxiety-based disorder that affects around 2. 5{\%} of the population.
no code implementations • WS 2017 • Melissa Roemmele, Sosuke Kobayashi, Naoya Inoue, Andrew Gordon
In this paper we present a system that performs this task using a supervised binary classifier on top of a recurrent neural network to predict the probability that a given story ending is correct.