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<span style="font-size:13px;font-family:arial,sans-serif">Graph-based Methods for Natural Language Processing</span><br style="font-size:13px;font-family:arial,sans-serif"><br style="font-size:13px;font-family:arial,sans-serif">
<span style="font-size:13px;font-family:arial,sans-serif">TextGraphs-8</span><br style="font-size:13px;font-family:arial,sans-serif"><br style="font-size:13px;font-family:arial,sans-serif"><a href="http://www.textgraphs.org/ws13" style="font-size:13px;font-family:arial,sans-serif" target="_blank">http://www.textgraphs.org/ws13</a><br style="font-size:13px;font-family:arial,sans-serif">
<br style="font-size:13px;font-family:arial,sans-serif"><br style="font-size:13px;font-family:arial,sans-serif"><span style="font-size:13px;font-family:arial,sans-serif">INTRODUCTION</span><br style="font-size:13px;font-family:arial,sans-serif">
<span style="font-size:13px;font-family:arial,sans-serif">-------------</span><br style="font-size:13px;font-family:arial,sans-serif"><br style="font-size:13px;font-family:arial,sans-serif"><span style="font-size:13px;font-family:arial,sans-serif">For the past 7 years, the series of TextGraphs workshops have exposed and</span><br style="font-size:13px;font-family:arial,sans-serif">
<span style="font-size:13px;font-family:arial,sans-serif">encouraged the synergy between the field of Graph Theory (NLP) and Natural</span><br style="font-size:13px;font-family:arial,sans-serif"><span style="font-size:13px;font-family:arial,sans-serif">Language Processing (NLP). The mix between the two started small, with graph</span><br style="font-size:13px;font-family:arial,sans-serif">
<span style="font-size:13px;font-family:arial,sans-serif">theoretical framework providing efficient and elegant solutions for NLP</span><br style="font-size:13px;font-family:arial,sans-serif"><span style="font-size:13px;font-family:arial,sans-serif">applications that focused on single documents for part-of-speech tagging,</span><br style="font-size:13px;font-family:arial,sans-serif">
<span style="font-size:13px;font-family:arial,sans-serif">word sense disambiguation and semantic role labelling, got progressively</span><br style="font-size:13px;font-family:arial,sans-serif"><span style="font-size:13px;font-family:arial,sans-serif">larger with ontology learning and information extraction from large text</span><br style="font-size:13px;font-family:arial,sans-serif">
<span style="font-size:13px;font-family:arial,sans-serif">collections, and have reached web scale through the new fields of research</span><br style="font-size:13px;font-family:arial,sans-serif"><span style="font-size:13px;font-family:arial,sans-serif">that focus on information propagation in social networks, rumor</span><br style="font-size:13px;font-family:arial,sans-serif">
<span style="font-size:13px;font-family:arial,sans-serif">proliferation, e-reputation, multiple entity detection, language dynamics</span><br style="font-size:13px;font-family:arial,sans-serif"><span style="font-size:13px;font-family:arial,sans-serif">learning and future events prediction to name but a few.</span><br style="font-size:13px;font-family:arial,sans-serif">
<br style="font-size:13px;font-family:arial,sans-serif"><br style="font-size:13px;font-family:arial,sans-serif"><span style="font-size:13px;font-family:arial,sans-serif">The 8th edition of the TextGraphs workshop would be a new step in the</span><br style="font-size:13px;font-family:arial,sans-serif">
<span style="font-size:13px;font-family:arial,sans-serif">series, focused on issues and solutions for large-scale graphs, such as</span><br style="font-size:13px;font-family:arial,sans-serif"><span style="font-size:13px;font-family:arial,sans-serif">those derived for web-scale knowledge acquisition or social networks. We aim</span><br style="font-size:13px;font-family:arial,sans-serif">
<span style="font-size:13px;font-family:arial,sans-serif">to encourage the description of novel NLP problems or applications that have</span><br style="font-size:13px;font-family:arial,sans-serif"><span style="font-size:13px;font-family:arial,sans-serif">emerged in recent years which can be addressed with graph-based solutions,</span><br style="font-size:13px;font-family:arial,sans-serif">
<span style="font-size:13px;font-family:arial,sans-serif">as well as novel graph-based methods that can be applied to known NLP tasks.</span><br style="font-size:13px;font-family:arial,sans-serif"><span style="font-size:13px;font-family:arial,sans-serif">Bringing together researchers interested in Graph Theory applied to Natural</span><br style="font-size:13px;font-family:arial,sans-serif">
<span style="font-size:13px;font-family:arial,sans-serif">Language Processing will provide an environment for further integration of</span><br style="font-size:13px;font-family:arial,sans-serif"><span style="font-size:13px;font-family:arial,sans-serif">graph-based solutions into NLP tasks, and a deeper understanding of new</span><br style="font-size:13px;font-family:arial,sans-serif">
<span style="font-size:13px;font-family:arial,sans-serif">theories of graph-based algorithms is likely to help create new approaches</span><br style="font-size:13px;font-family:arial,sans-serif"><span style="font-size:13px;font-family:arial,sans-serif">and widen the usage of graphs for NLP applications.</span><br style="font-size:13px;font-family:arial,sans-serif">
<br style="font-size:13px;font-family:arial,sans-serif"><span style="font-size:13px;font-family:arial,sans-serif">TOPICS WILL INCLUDE, BUT ARE NOT LIMITED TO</span><br style="font-size:13px;font-family:arial,sans-serif">
<span style="font-size:13px;font-family:arial,sans-serif">------------------------------</span><span style="font-size:13px;font-family:arial,sans-serif">-------------</span><br style="font-size:13px;font-family:arial,sans-serif">
<br style="font-size:13px;font-family:arial,sans-serif"><span style="font-size:13px;font-family:arial,sans-serif">Graph-based methods for Information Retrieval, Information Extraction and</span><br style="font-size:13px;font-family:arial,sans-serif">
<span style="font-size:13px;font-family:arial,sans-serif">Text Mining</span><br style="font-size:13px;font-family:arial,sans-serif"><span style="font-size:13px;font-family:arial,sans-serif">New graph-based methods for NLP applications</span><br style="font-size:13px;font-family:arial,sans-serif">
<span style="font-size:13px;font-family:arial,sans-serif">Graph-based methods for applications on social networks</span><br style="font-size:13px;font-family:arial,sans-serif"><br style="font-size:13px;font-family:arial,sans-serif">
<br style="font-size:13px;font-family:arial,sans-serif"><span style="font-size:13px;font-family:arial,sans-serif">IMPORTANT DATES</span><br style="font-size:13px;font-family:arial,sans-serif"><span style="font-size:13px;font-family:arial,sans-serif">-------------</span><br style="font-size:13px;font-family:arial,sans-serif">
<span style="font-size:13px;border-bottom-width:1px;border-bottom-style:dashed;border-bottom-color:rgb(204,204,204);font-family:arial,sans-serif">July 1st, 2013, 11:59 p.m. PST</span><span style="font-size:13px;font-family:arial,sans-serif"> - Submission deadline</span><br style="font-size:13px;font-family:arial,sans-serif">
<span style="font-size:13px;border-bottom-width:1px;border-bottom-style:dashed;border-bottom-color:rgb(204,204,204);font-family:arial,sans-serif">August 1st, 2013</span><span style="font-size:13px;font-family:arial,sans-serif"> - Notification deadline</span><br style="font-size:13px;font-family:arial,sans-serif">
<span style="font-size:13px;border-bottom-width:1px;border-bottom-style:dashed;border-bottom-color:rgb(204,204,204);font-family:arial,sans-serif">September 1st, 2013</span><span style="font-size:13px;font-family:arial,sans-serif"> - Deadline for camera ready papers</span><br style="font-size:13px;font-family:arial,sans-serif">
<span style="font-size:13px;border-bottom-width:1px;border-bottom-style:dashed;border-bottom-color:rgb(204,204,204);font-family:arial,sans-serif">October 8th, 2013</span><span style="font-size:13px;font-family:arial,sans-serif"> - TextGraphs-8 workshop</span><br style="font-size:13px;font-family:arial,sans-serif">
<br style="font-size:13px;font-family:arial,sans-serif"><br style="font-size:13px;font-family:arial,sans-serif"><span style="font-size:13px;font-family:arial,sans-serif">MORE INFORMATION</span><br style="font-size:13px;font-family:arial,sans-serif">
<span style="font-size:13px;font-family:arial,sans-serif">-------------</span><br style="font-size:13px;font-family:arial,sans-serif"><span style="font-size:13px;font-family:arial,sans-serif">TextGraphs-8 website</span><br style="font-size:13px;font-family:arial,sans-serif">
<a href="http://www.textgraphs.org/ws13" style="font-size:13px;font-family:arial,sans-serif" target="_blank">http://www.textgraphs.org/ws13</a><br style="font-size:13px;font-family:arial,sans-serif"><br style="font-size:13px;font-family:arial,sans-serif">
<span style="font-size:13px;font-family:arial,sans-serif">Invited Speakers</span><br style="font-size:13px;font-family:arial,sans-serif"><span style="font-size:13px;font-family:arial,sans-serif">TBA</span><br style="font-size:13px;font-family:arial,sans-serif">
<br style="font-size:13px;font-family:arial,sans-serif"><br style="font-size:13px;font-family:arial,sans-serif"><span style="font-size:13px;font-family:arial,sans-serif">ORGANIZERS</span><br style="font-size:13px;font-family:arial,sans-serif">
<span style="font-size:13px;font-family:arial,sans-serif">-------------</span><br style="font-size:13px;font-family:arial,sans-serif"><span style="font-size:13px;font-family:arial,sans-serif">Zornitsa Kozareva, USC Information Sciences Institute USA</span><br style="font-size:13px;font-family:arial,sans-serif">
<span style="font-size:13px;font-family:arial,sans-serif">Irina Matveeva, Dieselpoint, Inc. USA</span><br style="font-size:13px;font-family:arial,sans-serif"><span style="font-size:13px;font-family:arial,sans-serif">Gabor Melli, VigLink Inc. USA</span><br style="font-size:13px;font-family:arial,sans-serif">
<span style="font-size:13px;font-family:arial,sans-serif">Vivi Nastase, FBK Italy</span><br></div>
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