Consider estimating the mean of an outcome in the presence of missing data or estimating population average treatment effects in causal inference. A doubly robust estimator remains consistent if an outcome regression model or a propensity score model is correctly specified. We build on a previous nonparametric likelihood approach and propose new doubly robust estimators, which have desirable pr...

In this paper, we present a novel document similarity measure based on the definition of a graph kernel between pairs of documents. The proposed measure takes into account both the terms contained in the documents and the relationships between them. By representing each document as a graph-of-words, we are able to model these relationships and then determine how similar two documents are by usi...

BACKGROUND Fear of falling (FOF) is commonly experienced in people with Parkinson's disease (PD). It is a predictor of recurrent falls, a barrier to physical exercise, and negatively associated with health-related quality of life. A variety of rating scales exist that assess different aspects of FOF but comprehensive head-to-head comparisons of their psychometric properties in people with PD ar...

In this study, considering the effect of phrase grouping in spontaneous speech, prosodic words, instead of lexical words, are adopted as the units for error correction of speech recognition results. The prosodic words and the corresponding mis-recognized word fragments are obtained from a speech database to construct a mis-recognized word fragment table for the extracted prosodic words. For eac...

We propose a bootstrapping algorithm which successfully resolves two fundamental tasks: morphology acquisition and the acquisition of a subset of functional words. Given the outputs of these fundamental tasks, we build a nearly state-of-art morphology analyzer performing with a F1-score of 80.94%; also, we can improve the baseline model for acquiring functional words by an absolute error reduct...

In this paper we describe SoMaJo, a rulebased tokenizer for German web and social media texts that was the best-performing system in the EmpiriST 2015 shared task with an average F1-score of 99.57. We give an overview of the system and the phenomena its rules cover, as well as a detailed error analysis. The tokenizer is available as

In the United States the preferred method of obtaining dietary intake data is the 24-hour dietary recall, yet the measure of most interest is usual or long-term average daily intake, which is impossible to measure. Thus, usual dietary intake is assessed with considerable measurement error. We were interested in estimating the population distribution of the Healthy Eating Index-2005 (HEI-2005), ...

We present an approach to grammatical error correction for the CoNLL 2013 shared task based on a weighted tree-to-string transducer. Rules for the transducer are extracted from the NUCLE training data. An n-gram language model is used to rerank k-best sentence lists generated by the transducer. Our system obtains a precision, recall and F1 score of 0.27, 0.1333 and 0.1785, respectively, on the ...

The use of dynamic conditional random fields (DCRF) has been shown to outperform linear-chain conditional random fields (LCRF) for punctuation prediction on conversational speech texts [1]. In this paper, we combine lexical, prosodic, and modified n-gram score features into the DCRF framework for a joint sentence boundary and punctuation prediction task on TDT3 English broadcast news. We show t...