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<div>SECOND CALL FOR PAPERS </div>
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</div>
<div>** NEW : PROGRAMME COMMITTEE ADDDED **</div>
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<div>***************************************************<br>
ACL 2012 Workshop on<br>
<br>
Detecting Structure in Scholarly Discourse, DSSD2012<br>
<br>
Web: <a href="http://www.nactem.ac.uk/dssd/index.php">http://www.nactem.ac.uk/dssd/index.php</a><br>
***************************************************<br>
July 12, 2012<br>
International Convention Center Jeju<br>
Republic of Korea<br>
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FIRST CALL FOR PAPERS<br>
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Submission deadline: March 11, 2012<br>
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<br>
The detection of discourse structure in scientific documents is <br>
important for a number of tasks, including biocuration efforts, text <br>
summarization, error correction, information extraction and the creation <br>
of enriched formats for scientific publishing. Currently, many parallel <br>
efforts exist to detect a range of discourse elements at different <br>
levels of granularity and for different purposes. Discourse elements <br>
detected include the statement of facts, claims and hypotheses, the <br>
identification of methods and protocols, and as the differentiation <br>
between new and existing work. In medical texts, efforts are underway to <br>
automatically identify prescription and treatment guidelines, patient <br>
characteristics, and to annotate research data. Ambitious long-term <br>
goals include the modeling of argumentation and rhetorical structure and <br>
more recently narrative structure, by recognizing ‘motifs’ inspired by <br>
folktale analysis.<br>
<br>
A rich variety of feature classes is used to identify discourse <br>
elements, including verb tense/mood/voice, semantic verb class, <br>
speculative language or negation, various classes of stance markers, <br>
text-structural components, or the location of references. These <br>
features are motivated by linguistic inquiry into the detection of <br>
subjectivity, opinion, entailment, inference, but also author stance and <br>
author disagreement, motif and focus.<br>
<br>
The goal of the 2012 workshop “Detecting Structure in Scholarly <br>
Discourse” is to discuss and compare the techniques and principles <br>
applied in these various approaches, to consider ways in which they can <br>
complement each other, and to initiate collaborations to develop <br>
standards for annotating appropriate levels of discourse, with enhanced <br>
accuracy and usefulness.<br>
<br>
We are inviting submissions of long papers describing original research <br>
work that span the range from theory to application, including research <br>
on and the practice of manual and automated annotation systems, and <br>
discuss questions like the following:<br>
• What correlations can be demonstrated among document structure, <br>
argumentation and rhetorical functions?<br>
• What are the text linguistic and philosophical motivations <br>
underpinning current efforts to identify discourse structure? Are the <br>
assumptions made by current text processing tools supported by discourse <br>
linguistic research; are there unused opportunities for fruitful <br>
cross-fertilization?<br>
• Can we port parallel efforts from neighboring fields, such as motifs <br>
in folktale research, to annotate and detect narrative structures?<br>
• Which discourse annotation schemes are the most portable? Can they be <br>
applied to both full papers and abstracts? Can they be applied to texts <br>
in different domains and different genres (research papers, reviews, <br>
patents, etc)?<br>
• How can we compare annotations, and how can we decide which features, <br>
approaches or techniques work best? What are the most topical use cases? <br>
How can we evaluate performance and what are the most appropriate tasks?<br>
• What corpora are currently available for comparing and contrasting <br>
discourse annotation, and how can we improve and increase these?<br>
• How applicable are discourse annotation efforts for improving methods <br>
of publishing, detecting and correcting authors’ errors at the discourse <br>
level, or summarizing scholarly text? How close are we to implementing <br>
them at a production scale?<br>
<br>
Important Dates<br>
<br>
March 11, 2012 submission deadline<br>
April 15, 2012 notification of acceptance<br>
April 30, 2012 camera-ready paper<br>
July 12, 2012 workshop<br>
<br>
Submission guidelines:<br>
<br>
Please use ACL style files listed in <a href="http://www.acl2012.org/call/sub01.asp">http://www.acl2012.org/call/sub01.asp</a><br>
Authors are requested to submit their abstracts at: <br>
<a href="https://www.softconf.com/acl2012/dssd2012/">https://www.softconf.com/acl2012/dssd2012/</a><br>
<br>
Proceedings:<br>
The accepted papers will be published in the DSSD2012 Workshop Proceedings<br>
<br>
Organizing Committee:<br>
<br>
Sophia Ananiadou, National Centre for Text Mining and University of <br>
Manchester<br>
Antal van den Bosch, Radboud University Nijmegen<br>
Ágnes Sándor, Xerox Research Europe, Grenoble<br>
Hagit Shatkay, University of Delaware<br>
Anita de Waard, Elsevier Labs/Utrecht University</div>
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<div>Programme Committee:</div>
<div><br>
</div>
<div>
<div>Catherine Blake, University of Illinois at Urbana-Champaign, USA</div>
<div>Kevin Cohen, University of Colorado, School of Medicine, USA</div>
<div>Nigel Collier, National Institute of Informatics, Japan</div>
<div>Walter Daelemans, University of Antwerp, Belgium</div>
<div>Robert Dale, Macquarie University, Australia</div>
<div>Kjersti Fløttum, University of Bergen, Norway</div>
<div>Rocana Girju, University of Illinois at Urbana-Champaign, USA</div>
<div>Lynette Hirschman, MITRE, USA</div>
<div>Halil Kilicoglu, Concordia University, Canada</div>
<div>Jin-Dong Kim, The University Of Tokyo, Japan</div>
<div>Anna Korhonen, Cambridge University, UK</div>
<div>Maria Liakata, Aberystwyth University, UK</div>
<div>Roser Morante, University of Antwerp, Belgium</div>
<div>Raheel Nawaz, University of Manchester, UK</div>
<div>Dragomir Radev, University of Michigan, USA</div>
<div>Dietrich Rebholz-Schuhmann, EBI, UK</div>
<div>Andrey Rzhetsky, University of Chicago, USA</div>
<div>Caroline Sporleder, Saarland University, Germany</div>
<div>Padmini Srinivasan, University of Iowa, USA</div>
<div>Simone Teufel, University of Cambridge, UK</div>
<div>Paul Thompson, University of Manchester, UK</div>
<div>Jun'ichi Tsujii, Microsoft Research Asia, China</div>
<div>Lucy Vanderwende, Microsoft Research, USA</div>
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</div>
<div><br>
</div>
Contact: Anita de Waard, Disruptive Technology Director, Elsevier Labs<br>
a.dewaard AT <a href="http://elsevier.com/">elsevier.com</a></div>
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<div><br>
</div>
<div>--------</div>
<div><br>
</div>
<div>Paul Thompson<br>
Research Associate<br>
School of Computer Science<br>
National Centre for Text Mining<br>
Manchester Interdisciplinary Biocentre<br>
University of Manchester<br>
131 Princess Street<br>
Manchester<br>
M1 7DN<br>
UK<br>
Tel: 0161 306 3091<br>
<a href="http://personalpages.manchester.ac.uk/staff/Paul.Thompson/">http://personalpages.manchester.ac.uk/staff/Paul.Thompson/</a></div>
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