Search Results for author:
Found 11 papers, 1 papers with code
Prevalence and prevention of large language model use in crowd work
We show that the use of large language models (LLMs) is prevalent among crowd workers, and that targeted mitigation strategies can significantly reduce, but not eliminate, LLM use.
Rows from Many Sources: Enriching row completions from Wikidata with a pre-trained Language Model
The task divides into two steps: subject suggestion, the task of populating the main column; and gap filling, the task of populating the remaining columns.
Deep Natural Language Understanding of News Text
Early proposals for the deep understanding of natural language text advocated an approach of {``}interpretation as abduction,{''} where the meaning of a text was derived as an explanation that logically entailed the input words, given a knowledge base of lexical and commonsense axioms.
Linguistic Features of Helpfulness in Automated Support for Creative Writing
We examine an emerging NLP application that supports creative writing by automatically suggesting continuing sentences in a story.
An Encoder-decoder Approach to Predicting Causal Relations in Stories
We address the task of predicting causally related events in stories according to a standard evaluation framework, the Choice of Plausible Alternatives (COPA).
Natural-language Interactive Narratives in Imaginal Exposure Therapy for Obsessive-Compulsive Disorder
Obsessive-compulsive disorder (OCD) is an anxiety-based disorder that affects around 2. 5{\%} of the population.
An RNN-based Binary Classifier for the Story Cloze Test
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.
The Wreath Process: A totally generative model of geometric shape based on nested symmetries
We consider the problem of modelling noisy but highly symmetric shapes that can be viewed as hierarchies of whole-part relationships in which higher level objects are composed of transformed collections of lower level objects.
