KET 2015 - 2nd Workshop on Knowledge Extraction from Text

2nd Workshop on Knowledge Extraction from Text
http://ailab.ijs.si/~blazf/ket2015/
at WWW 2015, Florence, Italy,
19th May, 2015
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Submission page: https://www.easychair.org/conferences/?conf=ket201...
IMPORTANT DATES
- Submission Date: Jan 24, 2015 (23:59 Hawaii Standard Time)
- Notification of Acceptance: Feb 22, 2015
- Final copy deadline: Mar 8, 2015
- Workshop date: May 19, 2015
DESCRIPTION
Text understanding is an old, but as 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 language that drives computer actions. Many of required steps in the text understanding pipeline, including linguistic processing, reasoning, text generation, search, question answering etc., are already solved to a degree that allows composition of text understanding services. We know that knowledge acquisition, the key bottleneck, can be done by humans, but automating of the process is still out of reach in its full breadth.
In recent years interest in text understanding and knowledge acquisition from text has been growing. Many AI research groups are addressing relevant aspects of computational linguistics, machine learning, probabilistic and logical reasoning, and the semantic web. The goal of the workshop is to bring together experts from the diverse fields working towards text understanding.
The workshop is a continuation of the “Knowledge Extraction from Text” workshop from NIPS 2013.
SUBMISSION INSTRUCTIONS
We invite submissions on all aspects of text understanding, including
approaches related to areas of computational linguistics, machine learning, knowledge representation, probabilistic and logical reasoning, and the semantic web.
Topics of interest include, but are not limited to:
- cross-lingual, multilingual and monolingual alignment between knowledge bases and text
- joint inference between text interpretation and a knowledge base
- textual natural language processing and natural language understanding
- machine reading, reading the web, and learning by reading
- macro reading, micro reading and information retrieval
- supervised, unsupervised, semi-supervised and distantly-supervised learning
- crowdsourcing, human computation and conversational learning
- knowledge base construction and population from text
- text-based question-answering
Research papers should be submitted through the EasyChair Submission page:
https://easychair.org/conferences/?conf=ket2015
ORGANISERS
- Estevam Hruschka, Universidade Federal de Sao Carlos, Brazil
- Michael Witbrock, Cycorp Inc, Austin, Texas
- Blaz Fortuna, iMinds ? Ghent University, Belgium