Negative binomial distributions are fitted to partnership scores and innings scores in test cricket. For partnership scores, we use a parametric model that allows us to consider run rate as a covariate in the distribution of runs scored and hence to use run rate as a surrogate for batting strategy. Then we describe the implied influence of run rate on match outcome probabilities given the state...

Traditional models of bank runs do not allow for herding e¤ects, because in these models withdrawal decisions are assumed to be made simultaneously. I extend the banking model to allow a depositor to choose his withdrawal time. When he withdraws depends on his consumption type (patient or impatient), his private, noisy signal about the quality of the bank’s portfolio, and the withdrawal histori...

We propose a method for dealing with semantic complexities occurring in information retrieval systems on the basis of linguistic observations. Our method follows from an analysis indicating that long runs of content words appear in a stopped document cluster, and our observation that these long runs predominately originate from the prepositional phrase and subject complement positions and as su...

This paper describes our unsupervised knowledge-free approach to the SemEval2017 Task 1 Competition. The proposed method makes use of Paragraph Vector for assessing the semantic similarity between pairs of sentences. We experimented with various dimensions of the vector and three state-of-the-art similarity metrics. Given a cross-lingual task, we trained models corresponding to its two language...

CLARITECH submitted two baseline content-only runs and completed two additional content+link runs in the TREC-8 Web Track. These represent our first serious attempt to deal with Web data, and our first automatic runs in several years. The first question was whether CLARIT would perform as well on Web data as on more traditional text. We found that, with extensive pre-processing of the raw data ...

This paper describes the participation of the uc3m team in both tasks of the TREC 2011 Crowdsourcing Track. For the first task we submitted three runs that used Amazon Mechanical Turk: one where workers made relevance judgments based on a 3-point scale, and two similar runs where workers provided an explicit ranking of documents. All three runs implemented a quality control mechanism at the tas...

This correspondence describes a new test for multivariate normality useful in pattern recognition. The test is based on the Friedman-Rafsky multivariate extension of the Wald-Wolfowitz runs test. We perform Monte-Carlo experiments to determine if the test is reliable in high dimensions with moderate sample size. We compare the test to some other tests mentioned in the literature.

Macquarie University’s contribution to the BioASQ challenge (Task 5b Phase B) focused on the use of query-based extractive summarisation techniques for the generation of the ideal answers. Four runs were submitted, with approaches ranging from a trivial system that selected the first n snippets, to the use of deep learning approaches under a regression framework. Our experiments and the ROUGE r...