8 citations · 25 across the 13 of their papers we have counts for
4 papers · 1 filter
Persian Keyphrase Generation Using Sequence-to-Sequence Models
Ehsan Doostmohammadi, Mohammad Hadi Bokaei, Hossein Sameti
Keyphrases are a very short summary of an input text and provide the main subjects discussed in the text. Keyphrase extraction is a useful upstream task and can be used in various…
PerKey: A Persian News Corpus for Keyphrase Extraction and Generation
Ehsan Doostmohammadi, Mohammad Hadi Bokaei, Hossein Sameti
Keyphrases provide an extremely dense summary of a text. Such information can be used in many Natural Language Processing tasks, such as information retrieval and text summarizatio…
Ghmerti at SemEval-2019 Task 6: A Deep Word- and Character-based Approach to Offensive Language Identification
Ehsan Doostmohammadi, Hossein Sameti, Ali Saffar
This paper presents the models submitted by Ghmerti team for subtasks A and B of the OffensEval shared task at SemEval 2019. OffensEval addresses the problem of identifying and cat…
Stochastic Natural Language Generation Using Dependency Information
Elham Seifossadat, Hossein Sameti
This article presents a stochastic corpus-based model for generating natural language text. Our model first encodes dependency relations from training data through a feature set, t…