Natural language research announcements

[Yonatan Bisk <bisk1 AT illinois.edu>]

– Apologies for the late announcement –

When: This Friday @ 4pm - Oct 5

Where: 3405 SC

Speaker: Wei Lu (http://luwei.name/)

Title: Automatic Event Extraction with Structured Preference Modeling

Abstract:

We present a novel sequence labeling model based on the latent-variable semi-Markov conditional random fields for jointly extracting argument roles of events from texts. The model takes in coarse mention and type information and predicts argument roles for a given event template. 

We addresses the event extraction problem in a primarily unsupervised setting, where no labeled training instances are available. Our key contribution is a novel learning framework called structured preference modeling (PM), that allows arbitrary preference to be assigned to certain structures during the learning procedure. We establish and discuss connections between this framework and other existing works. We show empirically that the structured preferences are crucial to the success of our task. Our model, trained without annotated data and with a small number of structured preferences, yields performance competitive to some baseline supervised approaches. 

This is a joint work with Dan Roth.