A big data approach towards sarcasm detection in Russian
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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.
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References · 8
- 2017Adversarial Generation of Natural Languagecited by 33
- 2015Morphological Analyzer and Generator for Russian and Ukrainian Languagescited by 25
- 2017Automatic Generation of Natural Language Explanationscited by 22
- 2015Morphological Inflection Generation Using Character Sequence to Sequence Learningcited by 14
- 2017Neural-based Natural Language Generation in Dialogue using RNN Encoder-Decoder with Semantic Aggregationcited by 6
- 2020Conditioned Text Generation with Transfer for Closed-Domain Dialogue Systemscited by 2
- 2014Computational Model to Generate Case-Inflected Forms of Masculine Nouns for Word Search in Sanskrit E-Textcited by 1
- 2017On Natural Language Generation of Formal Argumentationcited by 1
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