Search Results for author:
Found 27 papers, 6 papers with code
Knowledge Graph Representation for Political Information Sources
With the rise of computational social science, many scholars utilize data analysis and natural language processing tools to analyze social media, news articles, and other accessible data sources for examining political and social discourse.
Echo-chambers and Idea Labs: Communication Styles on Twitter
This paper investigates the communication styles and structures of Twitter (X) communities within the vaccination context.
Vygotsky Distance: Measure for Benchmark Task Similarity
The core idea of this similarity measure is that it is based on relative performance of the "students" on a given task, rather that on the properties of the task itself.
LLMs Simulate Big Five Personality Traits: Further Evidence
An empirical investigation into the simulation of the Big Five personality traits by large language models (LLMs), namely Llama2, GPT4, and Mixtral, is presented.
Neural Machine Translation for Malayalam Paraphrase Generation
This study explores four methods of generating paraphrases in Malayalam, utilizing resources available for English paraphrasing and pre-trained Neural Machine Translation (NMT) models.
Post Turing: Mapping the landscape of LLM Evaluation
In the rapidly evolving landscape of Large Language Models (LLMs), introduction of well-defined and standardized evaluation methodologies remains a crucial challenge.
Rehabilitating Homeless: Dataset and Key Insights
This paper presents a large anonymized dataset of homelessness alongside insights into the data-driven rehabilitation of homeless people.
Pragmatic Constraint on Distributional Semantics
This paper studies the limits of language models' statistical learning in the context of Zipf's law.
BERT in Plutarch's Shadows
In particular, the Placita Philosophorum, together with one of the other Pseudo-Plutarch texts, shows similarities with the texts written by authors from an Alexandrian context (2nd/3rd century CE).
What is Wrong with Language Models that Can Not Tell a Story?
This paper argues that a deeper understanding of narrative and the successful generation of longer subjectively interesting texts is a vital bottleneck that hinders the progress in modern Natural Language Processing (NLP) and may even be in the whole field of Artificial Intelligence.
Vocabulary Transfer for Medical Texts
Vocabulary transfer is a transfer learning subtask in which language models fine-tune with the corpus-specific tokenization instead of the default one, which is being used during pretraining.
Moving Other Way: Exploring Word Mover Distance Extensions
The word mover's distance (WMD) is a popular semantic similarity metric for two texts.
Fine-Tuning Transformers: Vocabulary Transfer
Transformers are responsible for the vast majority of recent advances in natural language processing.
Do Data-based Curricula Work?
Current state-of-the-art NLP systems use large neural networks that require lots of computational resources for training.
Actionable Entities Recognition Benchmark for Interactive Fiction
This paper presents a new natural language processing task - Actionable Entities Recognition (AER) - recognition of entities that protagonists could interact with for further plot development.
Rethinking Crowd Sourcing for Semantic Similarity
Estimation of semantic similarity is crucial for a variety of natural language processing (NLP) tasks.
DYPLODOC: Dynamic Plots for Document Classification
Narrative generation and analysis are still on the fringe of modern natural language processing yet are crucial in a variety of applications.
Paranoid Transformer: Reading Narrative of Madness as Computational Approach to Creativity
We describe technical details of the generative system, provide examples of output and discuss the impact of receptive theory, chance discovery and simulation of fringe mental state on the understanding of computational creativity.
Artificial Neural Networks Jamming on the Beat
It suggests a very simple workaround for this challenge, namely, generation of a drum pattern that could be further used as a foundation for melody generation.
Intuitive Contrasting Map for Antonym Embeddings
This paper shows that, modern word embeddings contain information that distinguishes synonyms and antonyms despite small cosine similarities between corresponding vectors.
Style-transfer and Paraphrase: Looking for a Sensible Semantic Similarity Metric
The rapid development of such natural language processing tasks as style transfer, paraphrase, and machine translation often calls for the use of semantic similarity metrics.
It Means More if It Sounds Good: Yet Another Hypothesis Concerning the Evolution of Polysemous Words
This position paper looks into the formation of language and shows ties between structural properties of the words in the English language and their polysemy.
Decomposing Textual Information For Style Transfer
This paper focuses on latent representations that could effectively decompose different aspects of textual information.
Style Transfer for Texts: Retrain, Report Errors, Compare with Rewrites
Second, starting with certain values of bilingual evaluation understudy (BLEU) between input and output and accuracy of the sentiment transfer the optimization of these two standard metrics diverge from the intuitive goal of the style transfer task.
Ranked #1 on
Text Style Transfer
on Yelp Review Dataset (Small)
What is wrong with style transfer for texts?
A number of recent machine learning papers work with an automated style transfer for texts and, counter to intuition, demonstrate that there is no consensus formulation of this NLP task.
Guess who? Multilingual approach for the automated generation of author-stylized poetry
This paper addresses the problem of stylized text generation in a multilingual setup.
