12th Workshop on Graph-Based Methods in Natural Language Processing

Event Notification Type: 
Call for Papers
Abbreviated Title: 
TextGraphs-12
Location: 
Hyatt Regency Hotel
Tuesday, 5 June 2018
State: 
Luoisiana
Country: 
United States of America
City: 
New Orleans
Contact: 
Goran Glavaš
Swapna Somasundaran
Martin Riedl
Ed Hovy
Submission Deadline: 
Friday, 2 March 2018

CALL FOR PAPERS

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

WORKSHOP 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.

WORKSHOP TOPICS

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

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

TextGraphs-12 solicits both long and short paper submissions.

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.

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. 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.

Both long and short paper submissions must follow the two-column format of NAACL-HLT 2018 proceedings. We strongly recommend the use of ACL LaTeX style files tailored for NAACL-HLT 2018 conference. Submissions must conform to the official style guidelines, which are contained in the style files, and they must be in PDF format. Style files and other information about paper formatting requirements can be found at the NAACL-HLT 2018 website.

Submission is electronic, using the SoftConf START conference management system:
https://www.softconf.com/naacl2018/TextGraphs-12/

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.

PROGRAM COMMITTEE

Željko Agić, IT University Copenhagen, Denmark

Sivaji Bandyopadhyay, Jadavpur University, India

Chris Biemann, University of Hamburg, Germany

Tomáš Brychcín, University of West Bohemia, Czech Republic

Flavio Massimiliano Cecchini, University of Milano-Bicocca, Italy

Tanmoy Chakraborty, IIIT Delhi, India

Monojit Choudhury, Microsoft Research Lab, India

Asif Ekbal, IIT Patna, India

Stefano Faralli, Università degli Studi di Roma Unitelma Sapienza, Italy

Michael Flor, Educational Testing Services, USA

Marc Franco-Salvador, Symanto Group, Germany

Carlos Gomez-Rodriguez, University of A. Coruña, Spain

Tomáš Hercig, University of West Bohemia, Czech Republic

Ioana Hulpus, University of Mannheim, Germany

Prasanth Kolachina, University of Gothenburg, Sweden

Nikola Ljubešić, University of Zagreb, Croatia

Héctor Martínez Alonso, INRIA & University Paris Diderot, France

Gabor Melli, VigLink, USA

Mohsen Mesgar, Heidelberg Institute for Theoretical Studies, Germany

Rada Mihalcea, University of Michigan, USA

Alessandro Moschitti, University of Trento, Italy & QCRI, Qatar

Animesh Mukherjee, IIT Kharagpur, India

Vivi Nastase, University of Heidelberg, Germany

Alexander Panchenko, University of Hamburg, Germany

Simone Paolo Ponzetto, University of Mannheim, Germany

Jan Wira Gotama Putra, Tokyo Institute of Technology, Japan

Steffen Remus, University of Hamburg, Germany

Stephen Roller, UT Austin, USA

Natalie Schluter, IT University Copenhagen

Khalil Sima'an, University of Amsterdam

Josef Steinberger, University of West Bohemia, Czech Republic

Kateryna Tymoshenko, University of Trento, Italy

Dmitry Ustalov, University of Mannheim, Germany

Aline Villavicencio, University of Rio Grande do Sul, Brazil

Ivan Vulić, University of Cambridge, UK

Fabio Massimo Zanzotto, Tor Vergata University of Rome, Italy

ORGANIZERS

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

Swapna Somasundaran, Educational Testing Service
ssomasundaran@ets.org

Martin Riedl, University of Stuttgart
martin.riedl@ims.uni-stuttgart.de

Eduard Hovy, Carnegie Mellon University
hovy@cmu.edu

CONTACT

Please direct all questions and inquiries to our official e-mail address (textgraphs@gmail.com) or contact any of the organizers via their individual emails.

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