We propose a system to carry out the joint parsing of syntactic and semantic dependencies in multiple languages for our participation in the shared task of CoNLL-2009. We present an iterative approach for dependency parsing and semantic role labeling. We have participated in the closed challenge, and our system achieves 73.98% on labeled macro F1 for the complete problem, 77.11% on labeled atta...

This paper addresses the task of finding antecedents for locally uninstantiated arguments. To resolve such null instantiations, we develop a weakly supervised approach that investigates and combines a number of linguistically motivated strategies that are inspired by work on semantic role labeling and corefence resolution. The performance of the system is competitive with the current state-of-t...

We describe our CoNLL 2009 Shared Task system in the present paper. The system includes three cascaded components: a generative dependency parser, a classifier for syntactic dependency labels and a semantic classifier. The experimental results show that the labeled macro F1 scores of our system on the joint task range from 43.50% (Chinese) to 57.95% (Czech), with an average of 51.07%.

In this article, we have studied the possibility of applying Borda and Fuzzy Borda voting schemes to combine semantic role labeling systems. To better select the correct semantic role, among those provided by different experts, we have introduced two measures: the first one calculates the overlap between labeled sentences, whereas the second one adds different scoring levels depending on the ve...

The research led by Gali (AER 1999) and Basu et al. (AER 2006) raises two important questions regarding the validity of the RBC theory: (i) How important are technology shocks in explaining the business cycle? (ii) Do impulse responses to technology shocks found in the data reject the assumption of ‡exible prices? This paper argues that the conditional impulse responses of the U.S. economy to t...