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TextGraphs-12 2018 : TextGraphs-12: Graph-based Methods for Natural Language Processing | |||||||||||||||
Link: http://www.textgraphs.org/ws18 | |||||||||||||||
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Call For Papers | |||||||||||||||
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. The SoftConf URL for the workshop will be announced soon. 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. 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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