| The First International Joint Conference on Natural Language Processing (IJCNLP-04) | ||||||||||
|
|
|
The 1st International Joint Conference of Natural
Language Processing ************************************ [Date] [Venue] http://www.regenttour.com/chinaplanner/hainan/ [Sponsoring Organizations] ************************************ This issue contains [0] Paper submission ************************************* The information on paper submission will soon appear in the website http://www-tsujii.is.s.u-tokyo.ac.jp/ijc-nlp04/submission.html The important dates are as follows. Paper submission deadline: November 15, 2003 ----------------------------- We are happy to announce the co-chairs and the area chairs of the PC. [Co-chairs of the Program Committee] Keh-Yih Su (Behavior Design Corporation, Hsinchu) [Information Retrieval] ------------------------------- The following proposals have been accepted as thematic
sessions. Please note that the deadline and procedure for submitting papers
to these sessions are the same as those for general sessions. Also, the
same quality standard will be applied to evaluate various submissions
across general sessions and thematic sessions. [TS-1] Natural Language Learning using Both Labeled
and Unlabeled Data Recently, a new trend has arisen in the field of Natural Language Processing (NLP): the development of machine learning technologies that use both labeled and unlabeled data for training. Methods that have been proposed under this paradigm include co-training, EM learning, transductive learning, and other semi-supervised learning techniques. For many NLP tasks, existing data are by their nature unlabeled and manually labeling them is prohibitively expensive. Effective utilization of both unlabeled and labeled data in learning is also a challenging but important issue. The goal of this thematic session is to bring together researchers working on this issue from different perspectives, in order to share their latest research results and to discuss future directions. We think that this session will advance research not only in exploiting unlabeled data but also in other natural language learning issues. [TS-2] Natural Language Technology in the Text Processing
User Interface The emergence of applications like mobile text processing, communication aids and authoring support require sophisticated methods of text processing under challenging conditions. We invite researchers to discuss language technologies such as (but not restricted to) language modeling, analysis, summarization and disambiguation, in order to assist the user at the text processing front-end. [TS-3] Mobile Information Retrieval One of the strongest impacts in recent information
technology is the way mobility has changed computer applications. The
rapid rate of handphone adoption, the ubiquitous PDA, and the low cost
of wireless adoption has created new problems, new challenges, and new
opportunities to researchers in many disciplines. One common thread through
all these applications is the necessity for information retrieval in one
form or another. Another characteristic is the limited screen size of
mobile devices and the consequent ramifications on input and output. The
use of NLP plays an integral part in creating better user interfaces,
better analysis of results for precise display, and greater understanding
in the iterative interaction (dialogue) between user and mobile device.
We propose this workshop to explore user oriented and theoretical limits [TS-4] Text mining in Biomedicine With biomedical literature expanding so rapidly,
there is an urgent need to discover and organise knowledge extracted from
texts. Although factual databases contain crucial information the overwhelming
amount of new knowledge remains in textual form (e.g. MEDLINE). In addition,
new terms are constantly coined as the relationships linking new genes,
drugs, proteins etc. As the size of biomedical literature is expanding,
more systems are applying a variety of methods to automate the process
of knowledge acquisition and management. These include a variety of techniques
such as statistics, machine learning, SVMs, deep or shallow linguistic
or domain knowledge etc. Some NLP related topics are challenging in biomedicine
such as: dynamic terminology management, named-entity recognition , integration
with non-textual resources, discovery of named relationships, populating
and updating existing ontologies / taxonomies. The aim of this thematic
session is to examine issu -------------------------------- The following distinguished researchers have agreed to oversee IJCNLP-04 and the future conferences. Nicoletta Calzolari (Pisa) ---------------------------------- Chair: Keh-Yih Su (Hsinchu) Jason S. Chang (Hsinchu) --------------------- Honorary Chair Conference Co-chairs Program Committee Co-chairs Chair for Satellite Events Chair for Interactive Posters and Demos Local Organizing Committee Chair Publicity Chair Publication Chair Financial Chair
|
|