14th Workshop on Graph-Based Natural Language Processing (TextGraphs-14)
TextGraphs 2020
- URL: https://sites.google.com/view/textgraphs2020/
- Event Date: 2020-09-14 ~ 2020-09-14
- Location: Barcelona, Spain
TextGraphs-14: 14th Workshop on Graph-Based Natural Language Processing
Venue: COLING 2020 (https://coling2020.org)
Location: Barcelona, Spain
Date: September 14, 2020
Website: https://sites.google.com/view/textgraphs2020
# Workshop Description
TextGraphs is a workshop series promoting the synergies between methods of the field of Graph Theory and Natural Language Processing.
The fourteenth edition of the TextGraphs workshop aims to extend the focus on issues and solutions for large-scale graphs, such as those derived for Web-scale knowledge acquisition or social networks, and graph-based and graph-supported machine learning and deep learning methods.
We plan to encourage the description of novel NLP problems or applications that have emerged in recent years, which can be addressed with existing and new graph-based methods. Furthermore, we also encourage research on applications of graph-based methods in the area of Semantic Web to link them to related NLP problems and applications.
# Workshop Topics
TextGraphs invites the submission of long and short papers on original and unpublished research covering all aspects of graph-based natural language processing. Relevant topics for the conference include, but are not limited to, the following (in alphabetical order):
Graph-based and graph-supported machine learning methods:
- Graph embeddings and their combinations with text embeddings
- Graph-based and graph-supported deep learning (e.g., graph-based recurrent and recursive networks)
- Probabilistic graphical models and structure learning methods
Graph-based methods for Information Retrieval and Extraction:
- Graph-based methods for word sense disambiguation
- Graph-based strategies for semantic relation identification
- Encoding semantic distances in graphs
- Graph-based techniques for text summarization simplification, and paraphrasing
- Graph-based techniques for document navigation and visualization
New graph-based methods for NLP applications:
- Random walk methods in graphs
- Semi-supervised graph-based methods
- Graph-based methods for applications on social networks
Graph-based methods for NLP and Semantic Web:
- Representation learning methods for knowledge graphs
- Using graphs-based methods to populate ontologies using textual data
# Submission
We invite submissions of up to nine (9) pages maximum, plus bibliography for long papers and four (4) pages, plus bibliography, for short papers.
The COLING’2020 templates must be used; these are provided in LaTeX and also Microsoft Word format. Submissions will only be accepted in PDF format. Deviations from the provided templates will result in rejections without review. Download the Word and LaTeX templates here: https://coling2020.org/coling2020.zip
Submit papers by the end of the deadline day (timezone is UTC-12) via our Softconf Submission Site: https://www.softconf.com/coling2020/TextGraphs/
# Organizers
Dmitry Ustalov, Yandex, Russia
Swapna Somasundaran, Educational Testing Service, USA
Alexander Panchenko, Skoltech, Russia
Ioana Hulpuş, University of Mannheim, Germany
Peter Jansen, University of Arizona, USA
Fragkiskos D. Malliaros, University of Paris-Saclay, France
# Contact
Please direct all questions and inquiries to our official e-mail address (textgraphsOC@gmail.com) or contact any of the organizers via their individual emails.
Join us on Facebook: https://www.facebook.com/groups/900711756665369/
Follow us on Twitter: https://twitter.com/textgraphs
Join us on LinkedIn: https://www.linkedin.com/groups/4882867
Venue: COLING 2020 (https://coling2020.org)
Location: Barcelona, Spain
Date: September 14, 2020
Website: https://sites.google.com/view/textgraphs2020
# Workshop Description
TextGraphs is a workshop series promoting the synergies between methods of the field of Graph Theory and Natural Language Processing.
The fourteenth edition of the TextGraphs workshop aims to extend the focus on issues and solutions for large-scale graphs, such as those derived for Web-scale knowledge acquisition or social networks, and graph-based and graph-supported machine learning and deep learning methods.
We plan to encourage the description of novel NLP problems or applications that have emerged in recent years, which can be addressed with existing and new graph-based methods. Furthermore, we also encourage research on applications of graph-based methods in the area of Semantic Web to link them to related NLP problems and applications.
# Workshop Topics
TextGraphs invites the submission of long and short papers on original and unpublished research covering all aspects of graph-based natural language processing. Relevant topics for the conference include, but are not limited to, the following (in alphabetical order):
Graph-based and graph-supported machine learning methods:
- Graph embeddings and their combinations with text embeddings
- Graph-based and graph-supported deep learning (e.g., graph-based recurrent and recursive networks)
- Probabilistic graphical models and structure learning methods
Graph-based methods for Information Retrieval and Extraction:
- Graph-based methods for word sense disambiguation
- Graph-based strategies for semantic relation identification
- Encoding semantic distances in graphs
- Graph-based techniques for text summarization simplification, and paraphrasing
- Graph-based techniques for document navigation and visualization
New graph-based methods for NLP applications:
- Random walk methods in graphs
- Semi-supervised graph-based methods
- Graph-based methods for applications on social networks
Graph-based methods for NLP and Semantic Web:
- Representation learning methods for knowledge graphs
- Using graphs-based methods to populate ontologies using textual data
# Submission
We invite submissions of up to nine (9) pages maximum, plus bibliography for long papers and four (4) pages, plus bibliography, for short papers.
The COLING’2020 templates must be used; these are provided in LaTeX and also Microsoft Word format. Submissions will only be accepted in PDF format. Deviations from the provided templates will result in rejections without review. Download the Word and LaTeX templates here: https://coling2020.org/coling2020.zip
Submit papers by the end of the deadline day (timezone is UTC-12) via our Softconf Submission Site: https://www.softconf.com/coling2020/TextGraphs/
# Organizers
Dmitry Ustalov, Yandex, Russia
Swapna Somasundaran, Educational Testing Service, USA
Alexander Panchenko, Skoltech, Russia
Ioana Hulpuş, University of Mannheim, Germany
Peter Jansen, University of Arizona, USA
Fragkiskos D. Malliaros, University of Paris-Saclay, France
# Contact
Please direct all questions and inquiries to our official e-mail address (textgraphsOC@gmail.com) or contact any of the organizers via their individual emails.
Join us on Facebook: https://www.facebook.com/groups/900711756665369/
Follow us on Twitter: https://twitter.com/textgraphs
Join us on LinkedIn: https://www.linkedin.com/groups/4882867
Journal Promotion
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