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Found 9 papers, 4 papers with code
Russian Jeopardy! Data Set for Question-Answering Systems
In this article we describe a Jeopardy!-like Russian QA data set collected from the official Russian quiz database Ch-g-k.
A Russian Jeopardy! Data Set for Question-Answering Systems
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.
Towards annotation of text worlds in a literary work
Literary texts are usually rich in meanings and their interpretation complicates corpus studies and automatic processing.
UTMN at SemEval-2020 Task 11: A Kitchen Solution to Automatic Propaganda Detection
The article describes a fast solution to propaganda detection at SemEval-2020 Task 11, based onfeature adjustment.
Modelling Narrative Elements in a Short Story: A Study on Annotation Schemes and Guidelines
Then we corrected the guidelines and added computer annotation of verb forms with the purpose to get a higher raters{'} agreement and tested them again on the short story {``}The Gift of the Magi{''} by O. Henry.
PunFields at SemEval-2018 Task 3: Detecting Irony by Tools of Humor Analysis
The paper describes our search for a universal algorithm of detecting intentional lexical ambiguity in different forms of creative language.
PunFields at SemEval-2017 Task 7: Employing Roget's Thesaurus in Automatic Pun Recognition and Interpretation
The article describes a model of automatic interpretation of English puns, based on Roget's Thesaurus, and its implementation, PunFields.
Detecting Intentional Lexical Ambiguity in English Puns
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).
A Comparative Analysis of Social Network Pages by Interests of Their Followers
Being a matter of cognition, user interests should be apt to classification independent of the language of users, social network and content of interest itself.
