1161505
doi
10.5281/zenodo.1161505
oai:zenodo.org:1161505
user-natural-language-processing
Graph Clustering for Natural Language Processing
Ustalov, Dmitry
University of Mannheim
doi:10.18653/v1/P17-1145
doi:10.1007/978-3-642-25923-4
isbn:978-0-521-89613-9
doi:10.1007/978-3-030-01204-5
url:https://github.com/nlpub/watset-java
urn:urn:nbn:de:bsz:180-madoc-465240
doi:10.18653/v1/P18-2010
doi:10.1162/COLI_a_00354
doi:10.5281/zenodo.3510160
doi:10.5281/zenodo.4291121
info:eu-repo/semantics/openAccess
Creative Commons Attribution Non Commercial Share Alike 4.0 International
https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode
tutorial
clustering
graph theory
evaluation
natural language processing
<p>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.</p>
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.
Zenodo
2018-10-19
info:eu-repo/semantics/lecture
1161504
user-natural-language-processing
ainl2018
1607292955.843046
5900410
md5:c096a6daa97810ad4c5faa1c8f5a14e4
https://zenodo.org/records/1161505/files/GraphClustering.pdf
public
10.18653/v1/P17-1145
Cites
doi
10.1007/978-3-642-25923-4
References
doi
978-0-521-89613-9
References
isbn
10.1007/978-3-030-01204-5
Is supplement to
doi
https://github.com/nlpub/watset-java
References
url
urn:nbn:de:bsz:180-madoc-465240
Is identical to
urn
10.18653/v1/P18-2010
Cites
doi
10.1162/COLI_a_00354
Cites
doi
10.5281/zenodo.3510160
Is continued by
doi
10.5281/zenodo.4291121
Is previous version of
doi
10.5281/zenodo.1161504
isVersionOf
doi