2nd Workshop on Knowledge Extraction from Text

at WWW 2015, Florence, Italy, May 19, 2015


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.


14:00 - 15:30

Session chair: Michael Witbrock

16:00 - 17:30

Session chair: Estevam Hruschka


Program Committee