Zobrazeno 1 - 10
of 652
pro vyhledávání: '"Babakov, A. A."'
In this paper, we propose a model for building natural language explanations for Bayesian Network Reasoning in terms of factor arguments, which are argumentation graphs of flowing evidence, relating the observed evidence to a target variable we want
Externí odkaz:
http://arxiv.org/abs/2410.18060
In this work, we propose a novel method for Bayesian Networks (BNs) structure elicitation that is based on the initialization of several LLMs with different experiences, independently querying them to create a structure of the BN, and further obtaini
Externí odkaz:
http://arxiv.org/abs/2407.09311
The task of toxicity detection is still a relevant task, especially in the context of safe and fair LMs development. Nevertheless, labeled binary toxicity classification corpora are not available for all languages, which is understandable given the r
Externí odkaz:
http://arxiv.org/abs/2404.17841
Text detoxification is a textual style transfer (TST) task where a text is paraphrased from a toxic surface form, e.g. featuring rude words, to the neutral register. Recently, text detoxification methods found their applications in various task such
Externí odkaz:
http://arxiv.org/abs/2404.02037
Text style transfer techniques are gaining popularity in natural language processing allowing paraphrasing text in the required form: from toxic to neural, from formal to informal, from old to the modern English language, etc. Solving the task is not
Externí odkaz:
http://arxiv.org/abs/2308.09055
This paper presents a solution to the GenChal 2022 shared task dedicated to feedback comment generation for writing learning. In terms of this task given a text with an error and a span of the error, a system generates an explanatory note that helps
Externí odkaz:
http://arxiv.org/abs/2212.14293
Publikováno v:
Natural Language Processing and Information Systems. NLDB 2022. Lecture Notes in Computer Science, vol 13286. Springer, Cham, p.437--448
Text style transfer techniques are gaining popularity in Natural Language Processing, finding various applications such as text detoxification, sentiment, or formality transfer. However, the majority of the existing approaches were tested on such dom
Externí odkaz:
http://arxiv.org/abs/2206.09676
Formality is one of the important characteristics of text documents. The automatic detection of the formality level of a text is potentially beneficial for various natural language processing tasks. Before, two large-scale datasets were introduced fo
Externí odkaz:
http://arxiv.org/abs/2204.08975
Toxicity on the Internet, such as hate speech, offenses towards particular users or groups of people, or the use of obscene words, is an acknowledged problem. However, there also exist other types of inappropriate messages which are usually not viewe
Externí odkaz:
http://arxiv.org/abs/2203.02392
Autor:
Lebedeva, Marina, Nikonova, Ekaterina, Babakov, Alexey, Kolesnikova, Victoria, Razhina, Oksana, Zlobin, Nikolay, Taranov, Vasiliy, Nikonov, Oleg
Publikováno v:
In Biochimie April 2024 219:1-11
