CfP: Applied Linguistics, Bulgaria
Dora Panayotova
Workshop
Short Title: MMIES
Date: 26-Sep-2007 - 26-Sep-2007
Location: Borovets, Bulgaria
Contact Person: Thierry Poibeau
Meeting Email: thierry...@lipn.univ-paris13.fr
Web Site: http://www-lipn.univ-paris13.fr/~poibeau/mmies.html
Linguistic Field(s): Applied Linguistics
Call Deadline: 22-Jun-2007
Meeting Description:
Information extraction (IE) and text summarization (TS) are key technologies
aiming at extracting relevant information from texts and other sources and
presenting the information to the user in condensed forms. Recent years have
witnessed an explosion of information, making IE and TS particularly important
for the information society. These technologies, however, face new challenges
with the adoption of the Web 2.0 paradigm (e.g. blogs, wikis) because of their
inherent multi-source nature. These technologies have to deal no longer with
isolated texts or single narratives but with large scale repositories, or
sources -- in one or many languages -- containing a multiplicity of views,
opinions, or commentaries on particular topics, entities or events. There is
thus a need to adapt and/or develop new techniques to deal with these
new phenomena.
Recognising similar information across different sources and/or in different
languages is of paramount importance in this multi-source, multi-lingual
context, in particular the ability to detect paraphrases in texts is relevant
here. In information extraction, merging information from multiple sources can
lead to increased accuracy relative to extraction from single sources. In text
summarization, similar facts found across sources can inform sentence scoring
algorithms. In question answering, the distribution of answers in similar
contexts can inform answer ranking components. In occasions, it is not the
similarity of information that matters, but its complementary nature. In a
multi-lingual context, information extraction and text summarization can provide
solutions for cross-lingual access: key pieces of information can be extracted
from different texts in one or many languages, merged, and then conveyed in many
natural languages in concise forms. It is therefore important
that the research community addresses the following issues:
- What methods are appropriate to detect similar/complementary/contradictory
information? Are hand-crafted rules and knowledge-rich approaches convenient?
- What methods are there to tackle cross-document and cross-lingual
entity and event coreference?
-What machine learning approaches are most appropriate for this task
supervised/unsupervised/semi-supervised? What type of corpora is required for
training and testing?
-What techniques are appropriate to produce condensed synthesis of the extracted
information? What generation techniques are useful here? What kind of techniques
can be used to cross domains and languages?
-What tools are there to support multi-lingual/multi-source access to
information? What solutions are there beyond full document translation to
produce cross-lingual summaries?
The objective of the workshop is to bring together researchers and practitioners
in the areas of extraction, summarization, and other information access
technologies to discuss recent approaches to deal with multi-source and
multi-lingual challenges.
2nd Call for Papers
RANLP 2007
Borovets - Bulgaria
http://www.lml.bas.bg/ranlp2007/
26th of September 2007
We welcome submission concerning the following topics:
- Multi-source information extraction
- Cross-document Cross-lingual coreference
- Opinion mining and synthesis
- Multi-lingual information extraction
- Cross-lingual Summarization
- Tools to support information fusion
- Paraphrase identification and generation
- Adaptable IE-based text generation
Important Dates:
Extended deadline for submission: June 22, 2007
Notification of acceptance: July 30, 2007
Camera-ready copy due: August 31, 2007
Workshop: September 26, 2007
Submission Guidelines:
Submissions should be A4, two-column format and should not exceed seven pages,
including cover page, figures, tables and references. Times New Roman 12 font
is preferred. The first page should state the title of the paper, the author's
name(s), affiliation, surface and email address(es), followed by keywords and an
abstract and continue with the first section of your paper. Guidelines for
producing camera-ready versions will be available at the conference web site.
Each paper will be reviewed by up to three members of the program committee.
Authors of accepted papers will receive guidelines regarding how to produce
camera-ready versions of their papers for inclusion in the proceedings.
Organization:
Thierry Poibeau (CNRS - LIPN, U. Paris 13 - France)
E-mail: [log in to unmask]
Horacio Saggion (NLP Group, U. Sheffield - United Kingdom)
E-mail: [log in to unmask]
Program Committee:
Sophia Ananiadou (U. Manchester, UK)
Roberto Basili (U. Roma Tor Vergata, Italy)
Kalina Bontcheva (U. Sheffield, UK)
Nathalie Colineau (CSIRO, Australia)
Nigel Collier (NII, Japan)
Hercules Dalianis (KTH/Stockholm University, Sweden)
Thierry Declerck (DFKI, Germany)
Brigitte Grau (LIMSI, France)
Kentaro Inui (NAIST, Japan)
Min-Yen Kan (National University of Singapore, Singapore)
Guy Lapalme (U. Montreal, Canada)
Diana Maynard (U. Sheffield, UK)
Jean-Luc Minel (CNRS - Modyco, France)
Constantin Orasan (University of Wolverhampton, UK)
Cecile Paris (CSIRO, Australia)
Agnes Sandor (Xerox XRCE, France)
Ralf Steinberger (European Commission - Joint Research Centre, Italy)
Stan Szpakowicz (University of Ottawa, Canada)
Lucy Vanderwende (Microsoft Research, USA)
Jose Luis Vicedo (University of Alicante, Spain)
Roman Yangarber (University of Helsinki, Finland)
Liang Zhou (ISI, USA)
Michael Zock (LIF, France)
Paper Submission:
Please use the submission page to submit your paper:
http://quad.softconf.com/ranlp/mmies2007/