KeyGames: A Game Theoretic Approach to Automatic Keyphrase Extraction
Arnav Saxena, Mudit Mangal, Goonjan Jain
Abstract
In this paper, we introduce two advancements in the automatic keyphrase extraction (AKE) space -KeyGames and pke+. KeyGames is an unsupervised AKE framework that employs the concept of evolutionary game theory and consistent labelling problem to ensure consistent classification of candidates into keyphrase and non-keyphrase. Pke+ is a python based pipeline built on top of the existing pke library to standardize various AKE steps, namely candidate extraction and evaluation, to ensure truly systematic and comparable performance analysis of AKE models.
Topics & Concepts
Computer sciencePipeline (software)Python (programming language)Artificial intelligenceMachine learningNatural language processingProgramming languageAdvanced Text Analysis Techniques