Graph Clustering for Natural Language Processing
Creators: name: Ustalov, Dmitry
Publisher: name: Zenodo
Year: 2018
Subjects: tutorial
clustering
graph theory
evaluation
natural language processing

description: Graph-based representations are proven to be an effective approach for a variety of Natural Language Processing (NLP) tasks. Graph clustering makes it possible to extract useful knowledge by exploiting the implicit structure of the data. In this tutorial, we will present several efficient graph clustering algorithms, show their strengths and weaknesses as well as their implementations and applications. Then, the evaluation methodology in unsupervised NLP tasks will be discussed.
description: These materials are published under a CC BY-NC-SA license. Please feel welcome to share them! For viewer convenience, the slides published on Zenodo do not include interactive step-by-step examples.
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