TextGraphs-11: Graph-based Methods for Natural Language Processing
Workshop at ACL 2017, Vancouver, Canada, August 2017
TextGraphs-11 is proudly sponsored by Verisk Analytics!
Submission deadline extended
Due to multiple requests, we have decided to extend the submission deadline for the TextGraphs workshop. The news deadline is April 30th, anywhere in the world (AoE, UTC-12).
Papers that have been or will be submitted to other meetings or publications must indicate this at submission time. Authors submitting multiple papers to TextGraphs-11 may not submit papers that overlap significantly (>50%) with each other in content or results. Authors of papers accepted for presentation at Textgraphs-11 must notify the organizers immediately as to whether the paper will be presented. All accepted papers must be presented at the conference to appear in the proceedings.
The workshops in the TextGraphs series have published and promoted the synergy between the field of Graph Theory and Natural Language Processing. Besides traditional NLP applications like word sense disambiguation and semantic role labeling, and information extraction graph-based solutions nowadays also target new web-scale applications like information propagation in social networks, rumor proliferation, e-reputation, language dynamics learning, and future events prediction, to name a few.
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 encourage the description of novel NLP problems or applications that have emerged in recent years, which can be addressed with 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.
In an exciting and completely novel extension, we encourage graph-based interpretations of deep learning models for NLP tasks. Though deep learning models are displaying state of the art performance on many NLP tasks, they are often criticized for not being interpretable. In TextGraphs-11 we introduce a new challenge for graph-based methods: reasoning and interpretation of the layers used in deep learning models. Given that a neural network is, from one point of view, a graph through which activation scores are propagated, many of the existing graph-based methods used in our workshop community could potentially be directly applicable. Can graph-based methods be harnessed to provide information to make deep processing comprehensible for humans and computers? What are the capabilities and limits when graph-based methods are applied to neural networks in general? Which aspects of the networks are not susceptible to such treatment and why not?dedede
TextGraphs-11 invites submissions on (but not limited to) the following topics:
TextGraphs-11 workshop fully embraces the following ACL's anti-harassment policy.
The open exchange of ideas, the freedom of thought and expression, and respectful scientific debate are central to the aims and goals of the ACL. These require a community and an environment that recognizes the inherent worth of every person and group, that fosters dignity, understanding, and mutual respect, and that embraces diversity. For these reasons, ACL is dedicated to providing a harassment-free experience for all the members, as well as participants at our events and in our programs.
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Community members with harassment concerns should contact the organizers of the workshop. In case of a formal complaint, the contacted person will first speak to all parties involved to try to resolve the issue without presupposition of guilt.
We thank Verisk Analytics for the sponsorship of TextGraphs-11!
Verisk Analytics is a leading data analytics provider serving customers in insurance, natural resources, financial services, government, and risk management. Verisk Analytics is a member of Standard & Poor’s S&P 500® Index and part of the Nasdaq-100 Index. In 2016, Forbes named Verisk to its World’s Most Innovative Companies list and to its America’s Best Large Employer list. Verisk is one of only 14 companies to appear on both lists. Verisk is headquartered in Jersey City, New Jersey, right across the Hudson River from downtown Manhattan.