Advancing Internet technologies and the new interactive digital media are affecting the entertainment industry’s distributional models. The traditional distributional channels are being restructured and re-shaped especially in its delivery as well as marketing of such digital products and services. This paper provides a conceptual framework to analyze the impacts of the online market arising fr...

Using data from Reddy et al. (2011), we present a series of regression models of semantic transparency in compound nouns. The results indicate that the frequencies of the compound constituents, the semantic relation between the constituents, and metaphorical shift of a constituent or of the compound as a whole, all contribute to the overall perceived level of transparency. While not proposing a...

This work investigates the variation in a word’s distributionally nearest neighbours with respect to the similarity measure used. We identify one type of variation as being the relative frequency of the neighbour words with respect to the frequency of the target word. We then demonstrate a three-way connection between relative frequency of similar words, a concept of distributional gnerality an...

This paper presents the task on the evaluation of Compositional Distributional Semantics Models on full sentences organized for the first time within SemEval2014. Participation was open to systems based on any approach. Systems were presented with pairs of sentences and were evaluated on their ability to predict human judgments on (i) semantic relatedness and (ii) entailment. The task attracted...

Joint signal representations of arbitrary variables extend the scope of joint time-frequency representations, and provide a useful description for a wide variety of nonstationary signal characteristics. Cohen's marginal-based theory for bilinear representations is canonical from a distributional viewpoint, whereas, from other perspectives, such as characterization of the eeect of unitary signal...

Accurately representing synonymy using distributional similarity requires large volumes of data to reliably represent infrequent words. However, the naı̈ve nearestneighbour approach to comparing context vectors extracted from large corpora scales poorly (O(n2) in the vocabulary size). In this paper, we compare several existing approaches to approximating the nearestneighbour search for distribut...

Vowel harmony is a class of phonotactic restrictions in which vowels in a language are divided into two or more subclasses, and words must contain only vowels from only one such subclass regardless of intervening consonants. Languages worldwide (Turkish, Finnish, Mongolian, Warlpiri, but not English) exhibit vowel harmony. The opacity of such potentially long distance alternations poses a chall...

Current sentiment analysis systems rely on static (context independent) sentiment lexica with proximity based fixed-point prior polarities. However, sentimentorientation changes with context and these lexical resources give no indication of which value to pick at what context. The general trend is to pick the highest one, but which that is may vary at context. To overcome the problems of the pr...

In structural vector autoregressive (SVAR) models identifying restrictions for shocks and impulse responses are usually derived from economic theory or institutional constraints. Sometimes the restrictions are insufficient for identifying all shocks and impulse responses. In this paper it is pointed out that specific distributional assumptions can also help in identifying the structural shocks....

We compare two approaches to Semi-Riemannian metrics of low regularity. The maximally “reasonable” distributional setting of Geroch and Traschen is shown to be consistently contained in the more general setting of nonlinear distributional geometry in the sense of Colombeau.