# A big data approach towards sarcasm detection in Russian

arXiv: https://arxiv.org/abs/2306.00445 · HTML: https://mlsanity.com/paper/2306.00445/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 8 of its 32 references that are in the map.
- First posted on arXiv 1 Jun 2023.

## Builds on (most cited first, 8 of 8)

- [Adversarial Generation of Natural Language](https://mlsanity.com/paper/1705.10929/) (2017)
- [Morphological Analyzer and Generator for Russian and Ukrainian Languages](https://mlsanity.com/paper/1503.07283/) (2015)
- [Automatic Generation of Natural Language Explanations](https://mlsanity.com/paper/1707.01561/) (2017)
- [Morphological Inflection Generation Using Character Sequence to Sequence Learning](https://mlsanity.com/paper/1512.06110/) (2015)
- [Neural-based Natural Language Generation in Dialogue using RNN Encoder-Decoder with Semantic Aggregation](https://mlsanity.com/paper/1706.06714/) (2017)
- [Conditioned Text Generation with Transfer for Closed-Domain Dialogue Systems](https://mlsanity.com/paper/2011.02143/) (2020)
- [Computational Model to Generate Case-Inflected Forms of Masculine Nouns for Word Search in Sanskrit E-Text](https://mlsanity.com/paper/1412.5477/) (2014)
- [On Natural Language Generation of Formal Argumentation](https://mlsanity.com/paper/1706.04033/) (2017)

## Abstract (arXiv)

We present a set of deterministic algorithms for Russian inflection and automated text synthesis. These algorithms are implemented in a publicly available web-service www.passare.ru. This service provides functions for inflection of single words, word matching and synthesis of grammatically correct Russian text. Selected code and datasets are available at https://github.com/passare-ru/PassareFunctions/ Performance of the inflectional functions has been tested against the annotated corpus of Russian language OpenCorpora, compared with that of other solutions, and used for estimating the morphological variability and complexity of different parts of speech in Russian.