28.5067, Calls: Cognitive Science, Computational Linguistics/USA

Mon Dec 4 15:35:29 UTC 2017

LINGUIST List: Vol-28-5067. Mon Dec 04 2017. ISSN: 1069 - 4875.

Subject: 28.5067, Calls: Cognitive Science, Computational Linguistics/USA

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Date: Mon, 04 Dec 2017 10:35:08
From: Martin Riedl [martin.riedl at ims.uni-stuttgart.de]
Subject: TextGraphs-12: Graph-based Methods for Natural Language Processing

Full Title: TextGraphs-12: Graph-based Methods for Natural Language Processing 
Short Title: TextGraphs-12 

Date: 05-Jun-2018 - 06-Jun-2018
Location: New Orleans, Louisiana, USA, USA 
Contact Person: Goran Glavaš
Meeting Email: textgraphs at gmail.com
Web Site: http://www.textgraphs.org/ws18 

Linguistic Field(s): Cognitive Science; Computational Linguistics 

Call Deadline: 02-Mar-2018 

Meeting Description:

For the past twelve 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 twelfth edition of the TextGraphs
workshop aims to extend the focus on graph-based and graph-supported machine
learning and deep learning methods. We 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 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.

Call for Papers:

TextGraphs-12: Graph-based Methods for Natural Language Processing, NAACL 2018

TextGraphs-12: The 12th Workshop on Graph-based Methods for Natural Language
Processing
Workshop at the 16th Annual Conference of the North American Chapter of the
Association for Computational Linguistics: Human Language Technologies
(NAACL-HLT 2018)
June 5 or 6, 2018
New Orleans, Louisiana, USA
(Hyatt Regency New Orleans hotel)

http://www.textgraphs.org/ws18

TextGraphs-12 invites submissions on (but not limited to) the following
topics:

Graph-based and graph-supported machine learning and deep learning methods
- Graph 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 reasoning and interpreting deep neural networks
- Exploration of capabilities and limitations of graph-based methods being
applied to neural networks,
- Investigation of aspects of neural networks that are (not) susceptible to
graph-based analysis

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 relation identification,
- Encoding semantic distances in graphs,
- Graph-based techniques for text summarization, simplification, and
paraphrasing
- Graph-based techniques for document navigation and visualization,
- Reranking with graphs,
- Applications of label propagation algorithms, etc.

New graph-based methods for NLP applications
- 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 pretopological analysis of graphs
- Graph kernels

Graph-based methods for applications on social networks
- Rumor proliferation
- E-reputation
- Multiple identity detection
- Language dynamics studies
- Surveillance systems

Graph-based methods for NLP and Semantic Web
- Representation learning methods for knowledge graphs (i.e., 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 

Long Papers:

Long paper submissions must describe substantial, original, completed and
unpublished work. Wherever appropriate, concrete evaluation and analysis
should be included. Long papers may consist of up to eight (8) pages of
content, plus two pages of references. Final versions of long papers will be
given one additional page of content (up to 9 pages) to address reviewers’
remarks.

Long papers will be presented orally or as posters as determined by the
program committee. The decisions as to which papers will be presented orally
and which as poster presentations will be based on the nature rather than the
quality of the work. There will be no distinction in the proceedings between
long papers presented orally and as posters.

Short Papers:

Short paper submissions must describe original and unpublished work. Please
note that a short paper is not a shortened long paper. Instead short papers
should have a point that can be made in a few pages. Examples of short papers 

- A small, focused contribution
- Work in progress
- An interesting negative result
- An opinion piece
- An interesting application nugget

Short papers may consist of up to four (4) pages of content, plus one page of
references. Upon acceptance, short papers will also be given one additional
content page (up to 5 content pages) in the proceedings. Authors are
encouraged to use this additional page to address reviewers comments in their
final versions.

Important Dates:

All submission deadlines are at 11:59 p.m. PST

Paper submission: March 2, 2018
Notification of acceptance: April 2, 2018
Camera-ready submission: April 16, 2018
Workshop date: June 5 or 6, 2018

Submission is electronic, using the Softconf START conference management
system at:

    https://www.softconf.com/naacl2018/papers – for both long and short papers

Best Paper Award:

The Program Committee will select a best paper submitted to TextGraphs-12. The
authors of the best manuscript will receive the valuable Best Paper Award.
Both long and short submissions will be taken in consideration for the Best
Paper Award.    

Organizers:

Goran Glavaš, University of Mannheim
goran at informatik.uni-mannheim.de

Swapna Somasundaran, Educational Testing Service 
ssomasundaran at ets.org

Martin Riedl, University of Stuttgart
martin.riedl at ims.uni-stuttgart.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) or contact any of the organizers via their individual
emails. 

Connect with us on social media:

- 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

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