[Elsnet-list] Detecting Structure in Scholarly Discourse: Programme Now Available

Paul Thompson Paul.Thompson at manchester.ac.uk
Wed Jun 6 10:55:29 CEST 2012

We are happy to announce that the programme for the ACL workshop ' Detecting Structure in Scholarly Discourse' has now been finalised, to be held on Jeju Island, Korea, on July 12, 2012- for an online version, see http://www.nactem.ac.uk/dssd/programme.php.

Workshop Programme

Time Presentation
9:00-10:30 Session 1: Exploiting Discourse Structure
9:00- 9:45 Dae Hoon Park and Catherine Blake: "Identifying Comparative Claim Sentences in Full-Text Scientific Articles"
9:45-10:30 Ágnes Sándor and Anita de Waard: "Identifying Claimed Knowledge Updates in Biomedical Research Articles"
10:30-11:00 Coffee break
11:00-12:30 Session 2: Detecting Discourse Elements:
11:00-11:45 Awais Athar and Simone Teufel: "Detection of Implicit Citations for Sentiment Detection"
11:45-12:30 Tomoko Ohta, Sampo Pyysalo, Jun'ichi Tsujii and Sophia Ananiadou: "Open-domain Anatomical Entity Mention Detection"
12:30-14:00 Lunch break
14:00-15:30 Session 3: Taxonomies and Annotation
14:00-14:45 Maria Liakata, Paul Thompson, Anita de Waard, Raheel Nawaz, Henk Pander Maat and Sophia Ananiadou: "A Three-Way Perspective on Scientific Discourse Annotation for Knowledge Extraction"
14:45-15:30 Anita de Waard and Henk Pander Maat: "Epistemic Modality and Knowledge Attribution in Scientific Discourse:  A Taxonomy of Types and Overview of Features"
15:30-16:00 Coffee break
16:00-17:00 Panel discussion on detecting and using discourse structure for scholarly text
17:00-17:30 Wrapup and close

Discourse structure, as a field of research within computational linguistics, is attracting renewed research interest, due to its increasing relevance to diverse fields such as bio-medical text analysis, ethnography, and scientific publishing. Much effort is directed at detecting and modeling a range of discourse elements at different levels of granularity and for different purposes. Such elements include: the statement of facts, claims, and hypotheses; the identification of methods and protocols; and the detection of novelty in contrast to the re-stating of previous existing work. More ambitious long-term goals include the modelling of argumentation, rhetorical structure, and narrative structure. A broad variety of approaches and of features are used to identify discourse elements, including verb tense/mood/voice, semantic verb class, speculative language or negation, various classes of stance markers, text-structural components, or the location of references. The choice of features is often motivated by linguistic inquiry into the detection of subjectivity, opinion, entailment, inference, as well as author stance, author disagreement, motif and focus.

Six submissions were selected for presentation at the workshop. The submissions represent three fundamental perspectives of research concerning discourse structure: taxonomy and annotation, exploiting cross-document structure in text mining, and detecting discourse elements in scholarly texts. Further development of discourse models and of systems is likely to bring together and integrate aspects from all three. At the same time, these three perspectives give rise to interesting contrasts and different research questions, for instance: Are explicit taxonomies and annotation levels necessary for text mining and for the identification of particular types of discourse elements? or, more generally: How do these different perspectives all relate to a central theory of discourse? The workshop aims to be a forum for discussion of these exciting questions.

During the panel discussion time, we wish to summarise the state of the art and brainstorm on areas for development pertaining to the three main workshop topics: Exploiting Discourse Structure, Detecting Discourse Elements, and Taxonomies and Annotation.

We greatly look forward to seeing you in Korea!

The DSSD Organising Committee:

Sophia Ananiadou
School of Computer Science
University of Manchester, UK

Antal van den Bosch
Centre for Language Studies
Radboud University Nijmegen, The Netherlands

Ágnes Sándor
Xerox Research Europe
Grenoble, France

Hagit Shatkay
Dept. of Computer and Information Sciences, College of Engineering
University of Delaware, USA

Anita de Waard
Disruptive Technologies Director
Elsevier Labs, USA
Elsevier B.V. Registered Office: Radarweg 29, 1043 NX Amsterdam, The Netherlands, Registration No. 33156677 (The Netherlands)


Paul Thompson
Research Associate
School of Computer Science
National Centre for Text Mining
Manchester Institute of Biotechnology
University of Manchester
131 Princess Street
M1 7DN
Tel: 0161 306 3091

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