Using constituency level data, the article examines the BJP’s vote swing at the State and Constituency level in India. Drawing on theories of electoral realignment I examine the BJP’s performance at the constituency level and investigate the extent to which the party drew voters from other parties (particularly Congress), mobilised new voters (via increased turnout), and appealed to the newly e...

This paper looks at integrating dependency and constituency into a common framework, using the TAG formalism and a di erent perspective on the meta-level grammar of Dras (1999a) in which the meta level models dependencies and the object level models constituency. This framework gives consistent dependency analyses of raising verbs interacting with bridge verbs, additionally giving a solution to...

The aim of Evalita Parsing Task is at defining and extending Italian state of the art parsing by encouraging the application of existing models and approaches. As in the Evalita’07 and ’09, the Task is organized around two tracks, i.e. Dependency Parsing and Constituency Parsing. In this paper, we describe only the Dependency Parsing track by presenting the data sets for development and testing...

One of the most pressing issues in discontinuous constituency transition-based parsing is that the relevant information for parsing decisions could be located in any part of the stack or the buffer. In this paper, we propose a solution to this problem by replacing the structured perceptron model with a recursive neural model that computes a global representation of the configuration, therefore ...

We describe a methodology for improving the generation of multiple-choice test items through the usage of language technologies. We apply common natural language processing techniques, like constituency parsing and automatic term extraction together with additional morphosyntactic rules on raw instructional material in order to determine its key terms. These key terms are then used for the crea...

Manually maintaining comprehensive databases of multi-word expressions, for example Verb-Particle Constructions (VPCs), is infeasible. We describe a new type level classifier for potential VPCs, which uses information in the Google Web1T corpus to perform a simple linguistic constituency test. Specifically, we consider the fronting test, comparing the frequencies of the two possible orderings o...

It is well known that accuracies of statistical parsers trained over Penn treebank on test sets drawn from the same corpus tend to be overestimates of their actual parsing performance. This gives rise to the need for evaluation of parsing performance on corpora from different domains. Evaluating multiple parsers on test sets from different domains can give a detailed picture about the relative ...