Working under a model of privacy in which data remain private even from the statistician, we
study the tradeoff between privacy guarantees and the risk of the resulting statistical …

As one of the fundamental tasks in text analysis, phrase mining aims at extracting quality
phrases from a text corpus and has various downstream applications including information …

Recent studies have shown that the feasibility of speech brain-computer interfaces (BCIs) as
a clinically valid treatment in hel** nontonal language patients with communication …

With growing interest in Chinese Language Processing, numerous NLP tools (eg, word
segmenters, part-of-speech taggers, and parsers) for Chinese have been developed all over …

Parsing unrestricted text is useful for many language technology applications but requires
parsing methods that are both robust and efficient. MaltParser is a language-independent …

We present several improvements to unlexicalized parsing with hierarchically state-split
PCFGs. First, we present a novel coarse-to-fine method in which a grammar's own …

Android smartphones are becoming increasingly popular. The open nature of Android
allows users to install miscellaneous applications, including the malicious ones, from third …

This paper reports on the first shared task on statistical parsing of morphologically rich lan-
guages (MRLs). The task features data sets from nine languages, each available both in …

Neuroimaging using more ecologically valid stimuli such as audiobooks has advanced our
understanding of natural language comprehension in the brain. However, prior naturalistic …

We study a range of syntactic processing tasks using a general statistical framework that
consists of a global linear model, trained by the generalized perceptron together with a …