A Language Model for Grammatical Error Correction in L2 Russian

no code implementations • 4 Jul 2023 • Nikita Remnev, Sergei Obiedkov, Ekaterina Rakhilina, Ivan Smirnov, Anastasia Vyrenkova

Grammatical error correction is one of the fundamental tasks in Natural Language Processing.

Grammatical Error Correction Language Modelling

Probably approximately correct learning of Horn envelopes from queries

no code implementations • 16 Jul 2018 • Daniel Borchmann, Tom Hanika, Sergei Obiedkov

We propose an algorithm for learning the Horn envelope of an arbitrary domain using an expert, or an oracle, capable of answering certain types of queries about this domain.

Attribute

Neologisms on Facebook

no code implementations • 13 Apr 2018 • Nikita Muravyev, Alexander Panchenko, Sergei Obiedkov

In this paper, we present a study of neologisms and loan words frequently occurring in Facebook user posts.

Marketing

On the Usability of Probably Approximately Correct Implication Bases

no code implementations • 4 Jan 2017 • Daniel Borchmann, Tom Hanika, Sergei Obiedkov

We revisit the notion of probably approximately correct implication bases from the literature and present a first formulation in the language of formal concept analysis, with the goal to investigate whether such bases represent a suitable substitute for exact implication bases in practical use-cases.