This paper presents a large anonymized dataset of homelessness alongside...
This paper studies the limits of language models' statistical learning i...
The extensive surviving corpus of the ancient scholar Plutarch of Chaero...
This paper argues that a deeper understanding of narrative and the succe...
Vocabulary transfer is a transfer learning subtask in which language mod...
The word mover's distance (WMD) is a popular semantic similarity metric ...
Transformers are responsible for the vast majority of recent advances in...
Current state-of-the-art NLP systems use large neural networks that requ...
This paper presents StoryDB - a broad multi-language dataset of narrativ...
Chekhov's gun is a dramatic principle stating that every element in a st...
Estimation of semantic similarity is crucial for a variety of natural
la...
Narrative generation and analysis are still on the fringe of modern natu...
This papers revisits the receptive theory in context of computational
cr...
This paper presents a large dataset of drum patterns and compares two
di...
Since modern word embeddings are motivated by a distributional hypothesi...
This position paper looks into the formation of language and shows ties
...
This paper focuses on latent representations that could effectively deco...
This paper shows that standard assessment methodology for style transfer...
This paper shows that standard assessment methodology for style transfer...
A number of recent machine learning papers work with an automated style
...
This paper addresses the problem of stylized text generation in a
multil...