LINGUIST List 23.2636

Thu Jun 07 2012

Confs: Computational Ling, Discourse Analysis/ South Korea

Editor for this issue: Xiyan Wang <>

Date: 07-Jun-2012
From: Agnes Sandor <>
Subject: Detecting Structure in Scholarly Discourse
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Detecting Structure in Scholarly Discourse Short Title: DSSD2012

Date: 12-Jul-2012 - 12-Jul-2012 Location: Jeju Island, Korea, South Contact: Anita de Waard Contact Email: < click here to access email > Meeting URL:

Linguistic Field(s): Computational Linguistics; Discourse Analysis

Meeting Description:

ACL 2012 Workshop on Detecting Structure in Scholarly Discourse, DSSD2012Web: 12, 2012International Convention Center JejuJeju Island, Republic of Korea

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 modeling 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 summarize 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 are happy to announce that the program for the ACL workshop 'Detecting Structure in Scholarly Discourse' has now been finalized, to be held on Jeju Island, Korea, on July 12, 2012 - for an online version, see:

Workshop Programme:

Time Presentation

9:00-10:30Session 1: Exploiting Discourse Structure

9:00-9:45Dae Hoon Park and Catherine BlakeIdentifying Comparative Claim Sentences in Full-Text Scientific Articles

09:45-10:30Ágnes Sándor and Anita de WaardIdentifying Claimed Knowledge Updates in Biomedical Research Articles

10:30-11:00Coffee break

11:00-12:30Session 2: Detecting Discourse Elements

11:00-11:45Awais Athar and Simone TeufelDetection of Implicit Citations for Sentiment Detection

11:45-12:30Tomoko Ohta, Sampo Pyysalo, Jun'ichi Tsujii and Sophia AnaniadouOpen-domain Anatomical Entity Mention Detection

12:30-14:00Lunch break

14:00-15:30Session 3: Taxonomies and Annotation

14:00-14:45Maria Liakata, Paul Thompson, Anita de Waard, Raheel Nawaz, Henk Pander Maat and Sophia AnaniadouA Three-Way Perspective on Scientific Discourse Annotation for Knowledge Extraction

14:45-15:30Anita de Waard and Henk Pander MaatEpistemic Modality and Knowledge Attribution in Scientific Discourse: A taxonomy of types and overview of features

15:30-16:00Coffee break

16:00-17:00Panel discussion on detecting and using discourse structure for scholarly text

17:00-17:30Wrap-up and close

We greatly look forward to seeing you in Korea!

The DSSD Organising Committee:

Sophia AnaniadouSchool of Computer ScienceUniversity of Manchester, UK

Antal van den BoschCentre for Language StudiesRadboud University Nijmegen, The Netherlands

Ágnes SándorXerox Research EuropeGrenoble, France

Hagit ShatkayDept. of Computer and Information Sciences, College of EngineeringUniversity of Delaware, USA

Anita de WaardDisruptive Technologies DirectorElsevier Labs, USAElsevier B.V. Registered Office: Radarweg 29, 1043 NX Amsterdam, The Netherlands, Registration No. 33156677 (The Netherlands)

Page Updated: 07-Jun-2012