3 citations · 6 across the 6 of their papers we have counts for
7 papers
Psycho-linguistic Experiment on Universal Semantic Components of Verbal Humor: System Description and Annotation
Elena Mikhalkova, Nadezhda Ganzherli, Julia Murzina
Objective criteria for universal semantic components that distinguish a humorous utterance from a non-humorous one are presently under debate. In this article, we give an in-depth…
A Russian Jeopardy! Data Set for Question-Answering Systems
Elena Mikhalkova
Question answering (QA) is one of the most common NLP tasks that relates to named entity recognition, fact extraction, semantic search and some other fields. In industry, it is muc…
Towards annotation of text worlds in a literary work
Elena Mikhalkova, Timofei Protasov, Anastasiia Drozdova +2
Literary texts are usually rich in meanings and their interpretation complicates corpus studies and automatic processing. There have been several attempts to create collections of…
UTMN at SemEval-2020 Task 11: A Kitchen Solution to Automatic Propaganda Detection
Elena Mikhalkova, Nadezhda Ganzherli, Anna Glazkova +1
The article describes a fast solution to propaganda detection at SemEval-2020 Task 11, based onfeature adjustment. We use per-token vectorization of features and a simple Logistic…
PunFields at SemEval-2017 Task 7: Employing Roget's Thesaurus in Automatic Pun Recognition and Interpretation
Elena Mikhalkova, Yuri Karyakin
The article describes a model of automatic interpretation of English puns, based on Roget's Thesaurus, and its implementation, PunFields. In a pun, the algorithm discovers two grou…
Detecting Intentional Lexical Ambiguity in English Puns
Elena Mikhalkova, Yuri Karyakin
The article describes a model of automatic analysis of puns, where a word is intentionally used in two meanings at the same time (the target word). We employ Roget's Thesaurus to d…