We present a novel unsupervised framework for focused meeting summarization that views the problem as an instance of relation extraction. We adapt an existing in-domain relation learner (Chen et al., 2011) by exploiting a set of task-specific constraints and features. We evaluate the approach on a decision summarization task and show that it outperforms unsupervised utterance-level extractive s...

The representation in a two dimensional drawing of a spatial depth relationship between two discrete objects (i.e. one behind the other) has been studied by Freeman, Eiser, and Sayers (1977). When asked to draw one apple behind another, 5and 6-year-olds drew the objects separately, side by side; 7-year-olds drew them with the further object vertically above the nearer one; children of 9 years a...

Supplier Relationship Management (SRM) plays an important role in the reduction of costs and the optimization of performance in industrial enterprises. Despite enormous investments in innovation, the health care sector has not experienced fundamental change yet. However, increased market dynamics and the implementation of economic principles will force health service providers to optimize cost ...

This paper is an attempt to raise pertinent questions and act as platform to generate fruitful discussions within the AKBC community about the need for a large scale dataset for relation extraction. For proper training and evaluation of relation extraction tasks, the weaknesses of datasets used so far need to be tackled: mainly the size (too small) and the amount of data that is actually labell...

We may not be able to make you love reading, but entity relationship approach ten years of experience in information modeling proceedings of the fifth international conference on entity relation will lead you to love reading starting from now. Book is the window to open the new world. The world that you want is in the better stage and level. World will always guide you to even the prestige stag...