Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Nikolov, Nikola I."'
Each claim in a research paper requires all relevant prior knowledge to be discovered, assimilated, and appropriately cited. However, despite the availability of powerful search engines and sophisticated text editing software, discovering relevant pa
Externí odkaz:
http://arxiv.org/abs/2005.04961
We explore the suitability of self-attention models for character-level neural machine translation. We test the standard transformer model, as well as a novel variant in which the encoder block combines information from nearby characters using convol
Externí odkaz:
http://arxiv.org/abs/2004.14788
The ability to combine symbols to generate language is a defining characteristic of human intelligence, particularly in the context of artistic story-telling through lyrics. We develop a method for synthesizing a rap verse based on the content of any
Externí odkaz:
http://arxiv.org/abs/2004.03965
Abstractive summarization typically relies on large collections of paired articles and summaries. However, in many cases, parallel data is scarce and costly to obtain. We develop an abstractive summarization system that relies only on large collectio
Externí odkaz:
http://arxiv.org/abs/1907.12951
We propose a simple method for post-processing the outputs of a text summarization system in order to refine its overall quality. Our approach is to train text-to-text rewriting models to correct information redundancy errors that may arise during su
Externí odkaz:
http://arxiv.org/abs/1907.10873
We propose a simple unsupervised method for extracting pseudo-parallel monolingual sentence pairs from comparable corpora representative of two different text styles, such as news articles and scientific papers. Our approach does not require a seed p
Externí odkaz:
http://arxiv.org/abs/1810.08237
Character-level Neural Machine Translation (NMT) models have recently achieved impressive results on many language pairs. They mainly do well for Indo-European language pairs, where the languages share the same writing system. However, for translatin
Externí odkaz:
http://arxiv.org/abs/1805.03330
Data-driven approaches to sequence-to-sequence modelling have been successfully applied to short text summarization of news articles. Such models are typically trained on input-summary pairs consisting of only a single or a few sentences, partially d
Externí odkaz:
http://arxiv.org/abs/1804.08875
Autor:
Born, Jannis, Nikolov, Nikola I., Rosenkranz, Anna, Schabmann, Alfred, Schmidt, Barbara Maria
Publikováno v:
In Computers and Education: Artificial Intelligence 2022 3
We show that quadratic solitons are equivalent to solitons of a nonlocal Kerr medium. This provides new physical insight into the properties of quadratic solitons, often believed to be equivalent to solitons of an effective saturable Kerr medium. The
Externí odkaz:
http://arxiv.org/abs/nlin/0303003