Higher-order dependency features are known to improve dependency parser accuracy. We investigate the incorporation of such features into a cube decoding phrase-structure parser. We find considerable gains in accuracy on the range of standard metrics. What is especially interesting is that we find strong, statistically significant gains on dependency recovery on out-of-domain tests (Brown vs. WS...

To a large extent, this thesis will investigate how 13th Street was successfully revitalized using a strategy similar to that of the National Trust for Historic Preservation’s Main Street Program, a broadly applied framework for the revitalization of historic commercial centers in downtown communities nationwide. The success of the Main Street program, as outlined in its Four-Point Approach to ...

Recently, a lot of attention is given to income variations occurring at the top of the income distribution. “What happens to the top 1%?” is a question of crucial importance on the political level (Occupy Wall Street Movement) as well as on income inequality measurement level. Despite this increased interest, there is no rigorous measurement framework available in the literature for the measure...

We study the effect of a rough wall on the controllability of microswimmers made of several balls linked by thin jacks: the so-called 3-sphere and 4-sphere swimmers. Our work completes the previous work [4] dedicated to the effect of a flat wall. We show that a controllable swimmer (the 4-sphere swimmer) is not impacted by the roughness. On the contrary, we show that the roughness changes the d...

OBJECTIVE To document how the tobacco industry has used Wall Street analysts to further its public policy objectives. METHODS Searching tobacco documents available on the internet, newspaper articles, and transcripts of public hearings. RESULTS The tobacco industry used nominally independent Wall Street analysts as third parties to support the tobacco industry's legislative agenda at both n...

We present a simple, but surprisingly effective, method of self-training a twophase parser-reranker system using readily available unlabeled data. We show that this type of bootstrapping is possible for parsing when the bootstrapped parses are processed by a discriminative reranker. Our improved model achieves an f -score of 92.1%, an absolute 1.1% improvement (12% error reduction) over the pre...

Background In 2003 the Wall Street Journal (WSJ) introduced its Monthly Economic Forecasting Survey. Each month the WSJ polls between 50 and 60 well-known economic experts asking their forecasts of future key economic variables such as GDP, inflation, US treasury rates, unemployment, housing starts, and other data. The forecasts are always for set times of the year, namely the ends of the first...

Recently, we revisited the fast adaptation method called reference speaker weighting (RSW), and suggested a few modifications. We then showed that the algorithmically simplest technique actually outperformed conventional adaptation techniques like MAP and MLLR for 5or 10-second supervised adaptation on the Wall Street Journal 5K task. In this paper, we would like to further investigate the perf...

We aim at finding the minimal set of fragments which achieves maximal parse accuracy in Data Oriented Parsing. Experiments with the Penn Wall Street Journal treebank show that counts of almost arbitrary fragments within parse trees are important, leading to improved parse accuracy over previous models tested on this treebank (a precis ion of 90.8% and a recall of 90.6%). We isolate some depende...