Earlier studies have suggested that proficient map readers employ cognitive strategies such as information chunking and schemas to aid information processing. In this paper experienced and non-experienced map readers studied and reproduced firstly a town map and then a topographical map. No group differences were observed for the town map task. When the topographical map was recalled the expert...

We present memory-based learning approaches to shallow parsing and apply these to five tasks: base noun phrase identification, arbitrary base phrase recognition, clause detection, noun phrase parsing and full parsing. We use feature selection techniques and system combination methods for improving the performance of the memory-based learner. Our approach is evaluated on standard data sets and t...

This paper discusses the intended balance between shallow parsing strategies and full parsing needs in the context of a treebank creation. Two kinds of mechanisms are described, which make the output of the shallow processors compatible for further stages of analyses. These mechanisms are divided into two groups: adapting and repairing ones.

The packing lemma of Haussler states that given a set system (X,R) with bounded VC dimension, if every pair of sets in R have large symmetric difference, then R cannot contain too many sets. Recently it was generalized to the shallow packing lemma, applying to set systems as a function of their shallow-cell complexity. In this paper we present several new results and applications related to pac...

The computing cost of many NLP tasks increases faster than linearly with the length of the representation of a sentence. For parsing the representation is tokens, while for operations on syntax and semantics it will be more complex. In this paper we propose a new task of sentence chunking: splitting sentence representations into coherent substructures. Its aim is to make further processing of l...

This article presents a formalism and a beta version of a new tool for simultaneous morphosyntactic disambiguation and shallow parsing. Unlike in the case of other shallow parsing formalisms, the rules of the grammar allow for explicit morphosyntactic disambiguation statements, independently of structure-building statements, which facilitates the task of the shallow parsing of morphosyntactical...

Using a phosphoroscope and a pulsed light-signal integrator, the effect of alcohol on the delayed fluorescence of indole was investigated in alcohol-isopentane mixed glasses at 77 K. The delayed fluorescence intensity was strongly depended on the alcohol concentration and the polarity of alcohol. Trapped electrons causing the delayed fluorescence were separated into two species utilizing the sc...

We present a novel method for improving parsing performance, using a stochastic islanddriven chart parser preceded by a chunking process for identifying initial islands. Two different stochastic models have been developed for the island-driven parsing. Some experiments with nominal chunking using broad-coverage grammars derived from the Penn Treebank have been performed with remarkable results.

One deficiency of current shallow parsing based Semantic Role Labeling (SRL) methods is that syntactic chunks are too small to effectively group words. To partially resolve this problem, we propose semantics-driven shallow parsing, which takes into account both syntactic structures and predicate-argument structures. We also introduce several new “path” features to improve shallow parsing based ...

TheMachine Translation systemČesílko has beendeveloped as an answer to a growingneed of translation and localization from one source language to many target languages. The system belongs to the shallow parse, shallow transfer RBMT paradigm and it is designed primarily for translation of related languages. The paper presents the architecture, the development design and the basic installation ins...