[Sigwac] [Call for Papers] TextGraphs-11: Graph-based Methods for Natural Language Processing
Goran Glavaš
goran at informatik.uni-mannheim.de
Wed Apr 26 15:05:34 CEST 2017
Final CFP and *deadline extension to April 30*: TextGraphs-11: Graph-based
Methods for Natural Language Processing
Workshop at the 55th Annual Meeting of the Association for Computational
Linguistics (ACL 2017)
August 3, 2017
Vancouver, Canada
http://www.textgraphs.org/ws17
* Update: The deadline has been extended to April 30.
WORKSHOP DESCRIPTION
For the past eleven years, the workshops in the TextGraphs series have
published and promoted the synergy between the field of Graph Theory (GT)
and Natural Language Processing (NLP). The eleventh 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. 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
will also encourage research on applications of graph-based methods in the
area of Semantic Web in order to link them to related NLP problems and
applications. The target audience comprises researchers working on problems
related to either Graph Theory or graph-based algorithms applied to Natural
Language Processing, social media, and the Semantic Web.
WORKSHOP TOPICS
TextGraphs invites submissions on (but not limited to) the following topics:
* Graph-based methods for providing reasoning and interpretation of deep
learning methods
* Graph-based methods for reasoning and interpreting deep processing by
neural networks,
* Explorations of the capabilities and limits when graph-based methods are
applied to neural networks,
* Investigation of which aspects of neural networks are not amenable to
graph-based methods.
* Graph-based methods for Information Retrieval, Information Extraction,
and Text Mining
* Graph-based methods for word sense disambiguation,
* Graph-based representations for ontology learning,
* Graph-based strategies for semantic relations identification,
* Encoding semantic distances in graphs,
* Graph-based techniques for text summarization, simplification and
paraphrasing,
* Graph-based techniques for document navigation and visualization,
* Re-ranking with graphs,
* Applications of label propagation algorithms, etc.
* New graph-based methods for NLP applications, and novel use of existing
graph methods for new NLP tasks
* Random walk methods in graphs,
* Spectral graph clustering,
* Semi-supervised graph-based methods,
* Methods and analyses for statistical networks,
* Small world graphs,
* Dynamic graph representations,
* Topological and pre-topological analysis of graphs,
* Graph kernels, etc.
* Graph-based methods for applications on social networks
* Rumor proliferation,
* E-reputation,
* Multiple identity detection,
* Language dynamics studies,
* Surveillance systems, etc.
* Graph-based methods for NLP and Semantic Web
* Representation learning methods for knowledge graphs (e.g., knowledge
graph embedding),
* Using graphs-based methods to populate ontologies using textual data,
* Inducing knowledge of ontologies into NLP applications using graphs,
* Merging ontologies with graph-based methods using NLP techniques.
BEST PAPER AWARD
The Program Committee will select a best paper submitted to TextGraphs-11.
The authors of the best manuscript will receive the valuable Best Paper
Award. Both long and short submissions will be taken in consideration.
IMPORTANT DATES
All submission deadlines are at 11:59 p.m. PST
Paper submission: April 30, 2017
Notification of acceptance: May 19, 2017
Camera-ready submission: May 26, 2017
Workshop date: August 3, 2017
SUBMISSION
TextGraphs-11 solicits both long (8 pages) and short paper (4 pages)
submissions.
Please see our website for submission details http://www.textgraphs.org/ws17
PROGRAM COMMITTEE (in alphabetic order)
* Sivaji Bandyopadhyay, Jadavpur University, Kolkata, India
* Pushpak Bhattacharyya, IIT Bombay, India
* Chris Biemann, University of Hamburg, Germany
* Tanmoy Chakraborty, University of Maryland, USA
* Asif Ekbar, Indian Institute of Technology, Patna, India
* Marc Franco Salvador, University of Valencia, Spain
* Ioana Hulpus, University of Mannheim, Germany
* Roman Klinger, University of Stuttgart, Germany
* Nikola Ljubešić, University of Zagreb, Croatia
* Hector Martínez Alonso, Inria & University Paris Diderot, France
* Gabor Melli, VigLink, USA
* Rada Mihalcea, University of Michigan, USA
* Alessandro Moschitti, University of Trento, Italy
* Animesh Mukherjee, IIT Kharagpur, India
* Vivi Nastase, Heidelberg University, Germany
* Roberto Navigli, “La Sapienza” University of Rome, Italy
* Alexander Panchenko, University of Hamburg, Germany
* Simone Paolo Ponzetto, University of Mannheim, Germany
* Steffen Remus, University of Hamburg, Germany
* Stephan Roller, UT Austin, USA
* Shourya Roy, Xerox Research, India
* Anders Søgaard, University of Copenhagen, Denmark
* Jan Šnajder,, University of Zagreb, Croatia
* Aline Villavicencio, F. University of Rio Grande do Sul, Brazil
* Ivan Vulić, University of Cambridge, United Kingdom
* Fabio Massimo Zanzotto, “Tor vergata” University of Rome, Italy
ORGANIZERS
* Martin Riedl, University of Hamburg riedl at informatik.uni-hamburg.de
* Swapna Somasundaran, Educational Testing Services ssomasundaran at ets.org
* Goran Glavaš, University of Mannheim goran at informatik.uni-mannheim.de
* Eduard Hovy, Carnegie Mellon University hovy at cmu.edu
CONTACT
Please direct all questions and inquiries to our official e-mail address:
textgraphs at gmail.com
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