The extensive surviving corpus of the ancient scholar Plutarch of Chaero...
This paper argues that a deeper understanding of narrative and the succe...
Several performance measures can be used for evaluating classification
r...
Transformers are responsible for the vast majority of recent advances in...
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...
We extend the artificial language learning experimental paradigm from
ps...
Representation of linguistic phenomena in computational language models ...
Detecting implicit causal relations in texts is a task that requires bot...
This report presents the results of the EENLP project, done as a part of...
Narrative generation and analysis are still on the fringe of modern natu...
Commonsense reasoning is one of the key problems in natural language
pro...
Pre-trained word representations became a key component in many NLP task...
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...
The rapid development of such natural language processing tasks as style...
There are many cluster similarity indices used to evaluate clustering
al...
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...
Due to the widespread adoption of the smart mobile devices, QR codes hav...
A number of recent machine learning papers work with an automated style
...
This paper addresses the problem of stylized text generation in a
multil...
Community detection has recently became one of the most important proble...