CFP: NIPS 2013 Workshop on Knowledge Extraction from Text

CFP: NIPS 2013 Workshop on Knowledge Extraction from Text

Posted by Rebecca Martin on Wed, 16/10/2013 - 13:31

Call for Contributions
Workshop on Knowledge Extraction from Text

at NIPS 2013, Lake Tahoe, Nevada, United States,
9th December, 2013

Submission page:


- Early Submission Date: October 18th, 2013, Samoa time
- Early Notification of Acceptance: October 23rd, 2013
- Late Submission Date: November 15th, 2013, Samoa time
- Late Notification of Acceptance: November 20th, 2013
- Workshop date: Monday, December 9th, 2013


Text understanding is an old, yet unsolved, AI problem consisting of a number
of nontrivial steps. The critical step in solving the problem is knowledge
acquisition from text, i.e. a transition from a non-formalized text into a
formalized actionable language (i.e. susceptible to automated reasoning).Other
steps in the text understanding pipeline include linguistic processing,
reasoning, text generation, search, question answering etc. which are more or
less solved to a degree which allows composition of a text understanding
service. On the other hand, we know that knowledge acquisition, the key
bottleneck, can be done by humans, while automating of the process is still out
of reach in its full breadth.

After failed attempts in the past (due to a lack of theoretical and
technological prerequisites), in recent years the interest in text
understanding and knowledge acquisition form text has been growing. There are
numerous AI research groups dealing with the various relevant aspects of
computational linguistics, machine learning, probabilistic & logical reasoning,
and the semantic web. The commonality among all the newer approaches is the use
of machine learning to deal with representational change.

Since all of the above listed attempts use machine learning extensively and
probabilistic approaches, the goal of the workshop is to collect key
researchers and practitioners from the area to exchange ideas, approaches and
techniques used to deal with text understanding and related knowledge
acquisition problems.


We invite the submission of extended abstracts on all aspects of text
understanding, and we suggest keeping the paper under 4 pages (NOT including
references). For projects that require more room for descriptions, we encourage
the authors to include details of the work as an appendix and/or other
supplementary materials. Please use the NIPS style files and formatting
instructions. The submissions should include the authors' names and
affiliations since the review process will not be double blind (use
\nipsfinalcopy). Topics that were recently published or presented elsewhere are
allowed, provided that the extended abstract mentions this explicitly; topics
that were presented in non-machine-learning conferences are especially
encouraged. Accepted submissions will be presented either as contributed talks
or as posters.

In both cases use the Easychair submission site to upload your paper. We will
pursue a journal special issue with the topics of the workshop if we receive an
appropriate number of high-quality submissions.

Submission page:


- Marko Grobelnik, Jozef Stefan Institute, Slovenia
- Estevam Hruschka, Universidade Federal de Sao Carlos, Brazil
- Michael Witbrock, VP for research in Cycorp, Austin, Texas
- Blaz Fortuna, Jozef Stefan Institute, Slovenia